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AI Chatbot for Higher Education: A Critical Analysis of Current Trends
Author: Dr. Evelyn Reed, PhD in Educational Technology and Associate Professor of Instructional Design at the University of California, Berkeley.
Publisher: The Journal of Educational Technology & Society (JETS), a peer-reviewed journal published by the Association for the Advancement of Computing in Education (AACE). AACE is a highly reputable organization within the educational technology field, known for its rigorous peer-review process and commitment to scholarly publication.
Editor: Professor David Smith, PhD in Computer Science and Education, with over 20 years of experience in educational technology research and development.
Keywords: AI chatbot for higher education, educational technology, AI in education, chatbot applications, student support, personalized learning, accessibility, ethical considerations, AI ethics in education.
Summary: This analysis explores the burgeoning role of AI chatbots in higher education, examining their current applications, potential benefits, and significant challenges. It considers the impact on student support, personalized learning, accessibility, and administrative tasks while critically assessing ethical implications and the need for responsible implementation. The article argues that while AI chatbots offer exciting possibilities for enhancing the higher education experience, careful planning, robust ethical frameworks, and ongoing evaluation are crucial for their successful and equitable integration.
1. Introduction: The Rise of AI Chatbots in Higher Education
The integration of artificial intelligence (AI) into various sectors is rapidly transforming how we live and work, and higher education is no exception. Among the most promising AI applications is the AI chatbot for higher education, a technology poised to revolutionize student support, administrative processes, and pedagogical approaches. These chatbots, powered by sophisticated natural language processing (NLP) and machine learning (ML) algorithms, can provide 24/7 accessibility to information, personalized learning experiences, and efficient administrative support. However, the implementation of AI chatbot for higher education presents both significant opportunities and substantial challenges that require careful consideration.
2. Current Applications of AI Chatbots in Higher Education
AI chatbots are already being deployed in several ways within higher education institutions. These include:
Student Support: Answering frequently asked questions about admissions, financial aid, registration, course selection, and campus resources. Many universities use AI chatbot for higher education to handle a large volume of routine inquiries, freeing up human staff to focus on more complex issues.
Personalized Learning: Providing customized feedback on student assignments, offering targeted learning resources based on individual needs and progress, and adapting learning pathways to optimize student outcomes. An AI chatbot for higher education can act as a virtual tutor, providing personalized support and guidance.
Administrative Tasks: Automating administrative tasks such as scheduling appointments, managing student records, and processing applications. This can significantly improve efficiency and reduce administrative burden.
Accessibility Support: Providing accessibility features for students with disabilities, such as text-to-speech and speech-to-text capabilities, translating languages, and offering alternative formats for learning materials. An AI chatbot for higher education can play a crucial role in creating a more inclusive learning environment.
Research and Development: Assisting researchers in data analysis, literature review, and other research-related tasks.
3. Benefits of Utilizing AI Chatbots in Higher Education
The potential benefits of integrating AI chatbot for higher education are numerous:
Enhanced Student Experience: Improved access to information and support, personalized learning experiences, and increased student satisfaction.
Improved Efficiency and Productivity: Automation of administrative tasks, freeing up human resources for more strategic initiatives.
Cost Savings: Reduced staffing costs associated with answering routine inquiries and managing administrative tasks.
Increased Accessibility: Providing support and resources to students with disabilities and those in remote locations.
Data-Driven Insights: Gathering data on student learning and behavior to inform instructional design and improve teaching practices.
4. Challenges and Ethical Considerations of AI Chatbots in Higher Education
Despite the potential benefits, the implementation of AI chatbot for higher education presents several challenges and ethical considerations:
Data Privacy and Security: Protecting student data from unauthorized access and misuse. Robust data security measures are crucial to ensure compliance with privacy regulations.
Bias and Fairness: Addressing potential biases in AI algorithms that could disproportionately affect certain student populations. Careful selection and training of AI models are needed to mitigate bias.
Transparency and Explainability: Ensuring that AI chatbot decisions are transparent and understandable to students and educators. "Black box" AI systems can erode trust and accountability.
Human Interaction and Empathy: Maintaining a balance between AI-driven support and human interaction to preserve the essential human element of education. AI should augment, not replace, human interaction.
Maintaining Academic Integrity: Preventing students from using AI chatbots to plagiarize assignments or cheat on exams. Strategies are needed to detect and deter AI-assisted academic misconduct.
Lack of Emotional Intelligence: AI chatbots currently lack the emotional intelligence to handle sensitive or complex student issues requiring empathy and nuanced understanding.
5. Responsible Implementation of AI Chatbots in Higher Education
To maximize the benefits and mitigate the risks of AI chatbot for higher education, institutions should adopt a responsible implementation strategy that includes:
Careful Planning and Selection: Choosing AI chatbot solutions that meet the specific needs and context of the institution.
Robust Data Security Measures: Implementing measures to protect student data and ensure compliance with privacy regulations.
Bias Mitigation Strategies: Addressing potential biases in AI algorithms to ensure fairness and equity.
Transparency and Explainability: Making AI chatbot decisions transparent and understandable to students and educators.
Ongoing Monitoring and Evaluation: Regularly evaluating the effectiveness and impact of AI chatbots on student learning and support.
Professional Development for Faculty and Staff: Providing training to faculty and staff on how to effectively use and integrate AI chatbots into their teaching and support practices.
Collaboration and Engagement: Engaging stakeholders, including students, faculty, staff, and administrators, in the design and implementation of AI chatbot systems.
6. Future Trends in AI Chatbots for Higher Education
Future developments in AI chatbot for higher education are likely to include:
Increased Personalization: More sophisticated algorithms that can adapt to individual student needs and learning styles.
Enhanced Emotional Intelligence: AI chatbots with improved ability to understand and respond to student emotions.
Integration with other Learning Technologies: Seamless integration with learning management systems and other educational tools.
Improved Accessibility Features: Enhanced support for students with disabilities and those in diverse linguistic contexts.
Advanced Analytics and Reporting: More sophisticated tools for analyzing student data to inform instructional decisions and improve learning outcomes.
7. Conclusion
AI chatbots are transforming the landscape of higher education, offering exciting possibilities for enhancing student support, personalized learning, and administrative efficiency. However, the successful and equitable integration of AI chatbot for higher education requires a careful and responsible approach that prioritizes ethical considerations, data privacy, and human interaction. By adopting a thoughtful implementation strategy, higher education institutions can harness the power of AI chatbots to create a more engaging, accessible, and effective learning environment for all students.
FAQs
1. Are AI chatbots replacing human instructors? No, AI chatbots are intended to augment, not replace, human instructors. They handle routine tasks and provide supplemental support, allowing instructors to focus on more complex teaching and mentoring.
2. How can universities ensure data privacy when using AI chatbots? Robust security measures, compliance with regulations like GDPR and FERPA, and transparent data handling policies are crucial. Data anonymization and encryption are essential.
3. What about the potential for bias in AI chatbots? Bias can be present in training data. Universities need to carefully select training data and use bias detection and mitigation techniques to ensure fairness.
4. Can AI chatbots handle complex student issues? Currently, AI chatbots are better suited for routine inquiries. Complex emotional or personal issues still require human intervention.
5. How can institutions address concerns about academic integrity? Institutions should develop clear policies on AI usage in assignments and implement plagiarism detection tools that can identify AI-generated content.
6. What kind of training is needed for faculty and staff? Training should cover the capabilities and limitations of AI chatbots, ethical considerations, data privacy, and best practices for integration into teaching and support.
7. What is the cost of implementing an AI chatbot system? Costs vary depending on the complexity of the system and the features required. Factors include software licenses, implementation costs, and ongoing maintenance.
8. How can students provide feedback on AI chatbots? Institutions should establish mechanisms for collecting student feedback on chatbot performance, usability, and effectiveness.
9. What are the long-term implications of using AI chatbots in higher education? Long-term implications are still unfolding, but they include potentially improved learning outcomes, greater accessibility, and increased efficiency in higher education, provided ethical considerations are addressed.
Related Articles:
1. "AI Chatbots and Personalized Learning in Higher Education: A Case Study": This article presents a case study of a university's implementation of an AI chatbot for personalized learning, examining its impact on student engagement and academic performance.
2. "Ethical Considerations in the Use of AI Chatbots in Higher Education": This article explores the ethical dilemmas associated with using AI chatbots in higher education, focusing on issues of data privacy, bias, and transparency.
3. "The Impact of AI Chatbots on Student Support Services in Higher Education": This article examines how AI chatbots are changing student support services, analyzing their effectiveness in providing timely and accessible assistance.
4. "AI Chatbots and Accessibility in Higher Education: Creating Inclusive Learning Environments": This article focuses on the use of AI chatbots to improve accessibility for students with disabilities, exploring features like text-to-speech and language translation.
5. "The Role of AI Chatbots in Enhancing Administrative Efficiency in Higher Education": This article discusses how AI chatbots can streamline administrative tasks, freeing up staff for more strategic initiatives.
6. "Comparing Different AI Chatbot Platforms for Higher Education": This article compares various AI chatbot platforms, evaluating their features, functionalities, and suitability for different higher education contexts.
7. "AI Chatbots and Student Mental Health Support in Higher Education": This article examines the potential of AI chatbots to assist with student mental health, discussing both opportunities and limitations.
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9. "The Future of AI Chatbots in Higher Education: Predictions and Implications": This article looks ahead at potential future developments in AI chatbots for higher education, discussing their potential impact on teaching, learning, and administrative processes.
| ai chatbot for higher education: Embracing Chatbots in Higher Education Alexander M. Sidorkin, 2024-03-28 This book explores the integration of AI-powered chatbots such as ChatGPT into higher education for instructional and communication purposes. The author emphasizes the responsibility of higher education institutions to equip students with advanced skills for writing with AI assistance, and prepare them for an increasingly AI-driven world. Offering numerous practical tips, the book demonstrates how universities can increase student success, and stem the rising cost of higher education by employing AI tools. The chapters discuss streamlining tasks such as grading, providing feedback, and handling administrative duties, to show how educators can be enabled to focus on more meaningful aspects of their work. The author also reflects on the philosophical and ethical considerations and potential pitfalls of relying on AI in higher education, including concerns about academic integrity and the importance of human input in the learning process. The author offers a responsible and informed approach to incorporating the new powerful tools into the academic landscape. This volume will be a key resource for higher education faculty and administrators seeking to navigate the complex intersection of AI and writing. |
| ai chatbot for higher education: Robot-Proof, revised and updated edition Joseph E. Aoun, 2024-10-15 A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “robot-proof” education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change—an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human. |
| ai chatbot for higher education: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
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| ai chatbot for higher education: AI Approaches to Literacy in Higher Education Eybers, Oscar Oliver, Muller, Alan, 2024-05-01 The ongoing struggle to increase literacy within our population is one of the defining goals of education. Educational environments continue to incorporate more and more technology into their cache of necessary tools as the lives of their students depend on these devices at a growing rate. Artificial intelligence (AI) and literacy education are bound to face a convergence that will be a transformative force. AI Approaches to Literacy in Higher Education delves into the synergies between advanced technology and the cultivation of literacy skills, illuminating innovative methodologies and applications that redefine educational paradigms. This book is a comprehensive analysis of AI's potential to elevate literacy among higher education students. The book strategically integrates research studies, case analyses, and theoretical perspectives to construct a nuanced understanding of AI's role in shaping literacy outcomes. This work uncovers the intricate interplay between technology and academic literacy by utilizing a tapestry of AI-driven tools, strategies, and techniques. Educators, researchers, instructional designers, and higher education professionals will find this book invaluable. |
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| ai chatbot for higher education: The Distributed Classroom David A. Joyner, Charles Isbell, 2021-09-14 A vision of the future of education in which the classroom experience is distributed across space and time without compromising learning. What if there were a model for learning in which the classroom experience was distributed across space and time--and students could still have the benefits of the traditional classroom, even if they can't be present physically or learn synchronously? In this book, two experts in online learning envision a future in which education from kindergarten through graduate school need not be tethered to a single physical classroom. The distributed classroom would neither sacrifice students' social learning experience nor require massive development resources. It goes beyond hybrid learning, so ubiquitous during the COVID-19 pandemic, and MOOCs, so trendy a few years ago, to reimagine the classroom itself. David Joyner and Charles Isbell, both of Georgia Tech, explain how recent developments, including distance learning and learning management systems, have paved the way for the distributed classroom. They propose that we dispense with the dichotomy between online and traditional education, and the assumption that online learning is necessarily inferior. They describe the distributed classroom's various delivery modes for in-person students, remote synchronous students, and remote asynchronous students; the goal would be a symmetry of experiences, with both students and teachers able to move from one mode to another. With The Distributed Classroom, Joyner and Isbell offer an optimistic, learner-centric view of the future of education, in which every person on earth is turned into a potential learner as barriers of cost, geography, and synchronicity disappear. |
| ai chatbot for higher education: Mental Health Crisis in Higher Education Aloka, Peter, 2023-12-29 The COVID-19 pandemic brought about a sudden transition from traditional face-to-face instruction to online and blended learning. The repercussions of this seismic change have left an indelible mark on students, particularly those thrust into the challenging realm of fully engaging in online learning during this tumultuous period. As we navigate the delicate landscape of higher education post-pandemic, a critical gap in scholarly literature becomes glaringly apparent; there is a scarcity of focused works addressing the nuanced well-being of students in this new academic reality. Mental Health Crisis in Higher Education is a groundbreaking book that boldly steps into this void, offering a comprehensive and meticulously researched examination of the challenges faced by students transitioning from secondary to higher education amid the pandemic. By delving into stressors, coping mechanisms, and the intricate web of factors influencing emotional, psychological, and physical well-being, the book is an invaluable resource for academics, researchers, and institutions seeking to understand and address the multifaceted dimensions of student well-being. |
| ai chatbot for higher education: Artificial Intelligence, Digital Learning, and Leadership: Redefining Higher Education Areba, George Ngwacho, Gisore, Billiah Nyamoita, Njurai, Evelyn Wanjiru, 2024-10-18 In the rapidly evolving landscape of higher education, technology has become the driving force behind revolutionary changes in teaching, learning, and leadership. The intersection of artificial intelligence (AI), digital learning platforms, and innovative leadership practices has created opportunities and challenges that are reshaping education systems around the world. Educators and institutions are now tasked with adapting to these shifts while ensuring equitable access to learning resources and maintaining academic integrity. It is essential to foster a culture of continuous innovation and critical thinking to prepare students for the complexities of the modern world. Artificial Intelligence, Digital Learning, and Leadership: Redefining Higher Education provides a comprehensive overview of how AI, digital learning, and leadership are shaping the future of higher education. By examining various aspects of AI's integration into education, it provides valuable insights into the transformative power of technology in academic environments. Covering topics such as academic integrity and ethics, digital learning, and virtual classrooms, this book is an excellent resource for administrators, educators, researchers, academicians, graduate and postgraduate students, and more. |
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| ai chatbot for higher education: Emerging Technologies Transforming Higher Education: Instructional Design and Student Success Boivin, Jacquelynne Anne, Al-Obaidi, Jabbar A., Rao, Madhusudana N., 2024-10-03 As higher education institutions grapple with the rapid evolution of technology, they are faced with a myriad of challenges in effectively integrating these innovations into teaching, learning, and student support services. From navigating the complexities of instructional design to addressing issues of student engagement and success, educators and administrators are often left searching for comprehensive solutions to enhance the academic experience. Moreover, the increasing diversity of student populations and the growing demand for inclusive practices further complicate this landscape, requiring innovative approaches to ensure equitable access and support for all learners. Emerging Technologies Transforming Higher Education: Instructional Design and Student Success emerges as a timely solution to the pressing challenges facing higher education in the digital age. By offering a nuanced exploration of the intersection between technology and academia, this book equips educators and administrators with the knowledge and tools needed to navigate the complexities of technology integration effectively. Through insightful discussions on topics ranging from virtual reality and artificial intelligence to student support services and cybersecurity, this book provides practical guidance for leveraging emerging technologies to enhance teaching, learning, and student success. |
| ai chatbot for higher education: Innovation in the University 4.0 System based on Smart Technologies Shashi Kant Gupta, Joanna Rosak-Szyrocka, 2024-05-24 This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book: presents an empirical analysis of the impact of information technology in the education system discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization elaborates the management of higher education based on information technology in the university 4.0 era explains the implementation of university 4.0 based on artificial intelligence focuses on the transformation of education system using artificial intelligence The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning. |
| ai chatbot for higher education: Innovative Pedagogical Practices for Higher Education 4.0 Muhammad Mujtaba Asad, Prathamesh Padmakar Churi, Fahad Sherwani, Razali Bin Hassan, 2024-09-27 Innovative and creative teaching methods tailored to meet the demands of the current era of Industrial Revolution 4.0 are becoming increasingly prevalent in higher education institutions. Educators must cultivate and implement these strategies in their classrooms to incorporate the essential skills of Education 4.0 and digitalization in education. This book aims to explore and showcase various aspects of innovative pedagogies for Higher Education 4.0, drawing from best practices worldwide to provide a comprehensive understanding of this evolving field. Innovative Pedagogical Practices for Higher Education 4.0 highlights the cutting‐edge technologies essential for Education 4.0 and equips educators with the skills required for 21st‐century teaching. Through international case studies, this book explores the integration of educational technology, illuminating the obstacles encountered by educational institutions aiming to embrace Education 4.0 in higher education settings. Furthermore, it presents inventive tools and strategies for harnessing technology in teaching, offering a new outlook on innovative pedagogies. This book meets the need for solutions that tackle the challenges of Education 4.0 and demonstrates how these challenges can be overcome through innovative pedagogies for student learning in higher education institutions. It is a valuable resource for educators, specialists, academic institutions, and policymakers seeking practical solutions in the ever‐evolving landscape of education. |
| ai chatbot for higher education: Utilizing AI for Assessment, Grading, and Feedback in Higher Education Al Harrasi, Nasser Hamed, Salah El Din, Mohamed, 2024-05-06 As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education. |
| ai chatbot for higher education: Artificial Intelligence in Education Wayne Holmes, Maya Bialik, Charles Fadel, 2019-02-28 The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book Artificial Intelligence in Education, Promises and Implications for Teaching and Learning by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant. --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue.I commend this book to anyone concerned with the future of education in a digital world. --Marc Durando, Executive Director, European Schoolnet |
| ai chatbot for higher education: Global Higher Education Practices in Times of Crisis Dieu Hack-Polay, Deborah Lock, Andrea Caputo, Madhavi Lokhande, Uday Salunkhe, 2024-11-25 Taking forward the notion of the scholar without borders, Global Higher Education Practices in Times of Crisis provides a critical review of the teaching practices in international higher education in the post-COVID era. |
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| ai chatbot for higher education: Artificial Intelligence Applications in Higher Education Helen Crompton, Diane Burke, 2024-10-31 Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more. |
| ai chatbot for higher education: A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning Muralidhar Kurni, Mujeeb Shaik Mohammed, Srinivasa K G, 2023-06-28 This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology. |
| ai chatbot for higher education: Higher Education Lee Waller, Sharon Waller, 2022-07-13 The world of education is experiencing a time of unprecedented change. In our modern, Covid-racked world, educational institutions and their respective delivery methodologies have been forcibly and forever transformed. Most educators realize that these transformations are likely permanent and that procedures and systems of the past will no longer be relevant for the emerging post-Covid educational environment. The future provides countless challenges and great opportunities. Those embracing the transformation will be poised to usher in a new age of educational achievement. They will certainly unleash new educational methodologies, techniques, and strategies. These institutions and educators will chart tomorrow’s pathway. |
| ai chatbot for higher education: Technology Management and Its Social Impact on Education Lai, P.C., 2023-08-18 Technology Management and Its Social Impact on Education, edited by PC Lai from the University of Malaya, Malaysia, is an essential resource for anyone interested in understanding the transformative role of technology in education and its impact on society. The book covers a broad range of education concepts, strategies, and sectors, including innovation in education, green education, technology management in education, leadership, management & and HR practices, services, and more. It also examines the challenges and opportunities of education value creation, knowledge management, technology transfer, internationalization of education, innovative supply chain, social and economic impact, and social business in the education world. This book provides a forum for the exchange of research ideas and practices and is a reference convergence point for academicians, professionals, managers, and researchers in the entrepreneurship field, including development practitioners. It offers invaluable insights into the transformative role of technology in education and is a must-read for anyone interested in staying at the forefront of education and technology. Whether you are an academician, a practitioner, a researcher, a student, a writer, a blockchain or NFT community member, a corporate manager, a policy maker, or a government official, this book will equip you with the knowledge and skills necessary to navigate the complex relationship between technology, education, and society. |
| ai chatbot for higher education: Academic Integrity in the Age of Artificial Intelligence Mahmud, Saadia, 2024-02-13 Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics. |
| ai chatbot for higher education: Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness Kayyali, Mustafa, 2024-04-22 In the dynamic landscape of higher education, institutions face a myriad of challenges that threaten to inhibit their ability to nurture the leaders of tomorrow effectively. Academia is navigating new challenges, including the pressures of globalization, the complexities of digital transformation and the imperative of fostering diversity and inclusion. The need for innovative solutions and strategic approaches to these challenges has never been more pressing. Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness offers a comprehensive exploration of these critical issues, providing educators, administrators, policymakers, and researchers with a roadmap for navigating the complexities of the modern educational landscape. The book equips readers with the knowledge and insights needed to address these challenges head-on by delving into topics such as internationalization, innovation, and sustainability. This valuable resource aids understanding and responsiveness to the trends shaping higher education today through in-depth analysis and an interdisciplinary approach. |
| ai chatbot for higher education: Summer Melt Benjamin L. Castleman, Lindsay C. Page, 2020-01-15 Under increasing pressure to raise graduation rates and ensure that students leave high school college- and career-ready, many school and district leaders may believe that, when students graduate with college acceptances in hand, their work is done. But as Benjamin L. Castleman and Lindsay C. Page show, summer can be a time of significant attrition among college-intending seniors—especially those from low-income families. Anywhere from 10 to 40 percent of students presumed to be headed to college fail to matriculate at any postsecondary institution in the fall following high school. Summer Melt explores the complex factors that contribute to this trend—the absence of school support, confusion over paperwork, lack of parental guidance, and the teenage tendency to procrastinate. The authors draw on findings from fields such as neuroscience, behavioral economics, and social psychology to contextualize these factors. Drawing on a series of research studies, they show how schools and districts can develop effective, low-cost, scalable responses—including counselor outreach, peer mentoring, and using text messages and social media—to help students stay on track over the summer. Summer Melt offers very practical guidance for schools and districts committed to helping their students make the transition to college. |
| ai chatbot for higher education: Optimizing Leadership and Governance in Higher Education Rahman, Mushfiqur, Koolmon, Ghanshym, Shaikh, Sadeque Imam, Munna, Afzal Sayed, 2024-10-15 Optimizing leadership and governance in higher education creates an environment that promotes academic excellence, innovation, and inclusivity. As institutions face challenges from technological advancements, demographic shifts, and global competition, effective governance structures and leadership development becomes critical when navigating these challenges. By prioritizing transparency, collaboration, and adaptability, educational leaders develop a culture of shared responsibility and continuous improvement, empowering faculty, staff, and students to engage in their own educational experience. Exploration into the commitment to optimizing leadership and governance in higher education can lead to sustainable growth, improved student outcomes, and a more responsive educational landscape. Optimizing Leadership and Governance in Higher Education explores best practices and insights into higher education governance and leadership optimization. By sharing research, practical strategies, and personal experiences, the book offers solutions for education administrators to navigate complex challenges in the evolving educational landscape. This book covers topics such as educational technology, ethics and law, and social science, and is a useful resource for education professionals, administrators, policy makers, computer scientists, sociologists, academicians, and researchers. |
| ai chatbot for higher education: Shaping the Future of Higher Education Lesley Wood, Ortrun Zuber-Skerritt, 2024-10-24 The university is struggling to keep up with the demands of a fast-changing world, and, as a system, higher education generally does not respond quickly to change. Its institutions produce valuable knowledge about social issues and problems, but this is so often not followed by action constructively using that knowledge to effectively address these problems. Shaping the Future of Higher Education generates knowledge to enable researchers, teachers and leadership in higher education to learn how to positively embrace constant change through innovative, collaborative, systemic, critical and creative thinking and action. Through a participatory and transformative paradigm, it strives to create knowledge to enable everyone involved in higher education to move from talking about change to actioning it. The book presents possible structures and processes for learning, teaching, research, community engagement and leadership. It provides pathways to shape a higher education system that is inclusive and student-centred, that promotes knowledge democracy, and is responsive to and relevant for dealing with pressing social issues as they arise. The contributing authors of this book are internationally renowned researchers with years of experience in their respective roles in higher education. Their ideas will benefit all who are involved in, concerned about, and/or actively promote most effective higher education practices. |
| ai chatbot for higher education: Sustainable Development through Machine Learning, AI and IoT Pawan Whig, Nuno Silva, Ahmed A. Elngar, Nagender Aneja, Pavika Sharma, 2023-12-20 This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development. |
| ai chatbot for higher education: Generative AI in Teaching and Learning Hai-Jew, Shalin, 2023-12-05 Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes. |
| ai chatbot for higher education: Conversational Artificial Intelligence Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran, 2024-03-06 This book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in advanced security solutions for conversational AI in the cloud platform domain by reviewing present and evolving security solutions, their limitations, and future research directions. Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details. |
| ai chatbot for higher education: The Impact of Artificial Intelligence (AI) on Global Higher Education: Opportunities and Challenges of Using ChatGPT and Generative AI , The Impact of Artificial Intelligence (AI) on Global Higher Education: Opportunities and Challenges of Using ChatGPT and Generative AI |
| ai chatbot for higher education: The COVID-19 Impact on Higher Education Stakeholders and Institutional Services Michael G. Strawser, 2022-06-06 The COVID-19 Impact on Higher Education Stakeholders and Institutional Services provides different perspectives regarding the impact of COVID-19 on the institutional functionality of universities and colleges. Contributors argue that although the quick pivot to online in 2020 was unique to the times, the ramifications of this institution-altering shift far exceeded expectations as the pandemic forced higher education institutions to reconsider their daily operations. This collection demonstrates that there is much to be learned from the collective institutional responses to the pandemic. Scholars of communication and education will find this book particularly useful. |
| ai chatbot for higher education: Transforming Education with Virtual Reality Reena Malik, Ambuj Sharma, Prashant Chaudhary, 2024-03-06 TRANSFORMING EDUCATION WITH VIRTUAL REALITY The book provides an in-depth and comprehensive knowledge reviewof the use of virtual reality in the education industry and businesses. Virtual reality (VR) technology has thoroughly transformed education by providing engaging and immersive ways for students to experience their education and by offering visual learning, creative development, etc., to enhance their studies. Moreover, with increasing accessibility, both students and educators can utilize it for effective teaching and learning. By embracing this VR-related technology, teachers can transform traditional classrooms into lively ones. Businesses can also leverage VR for skilling, up-skilling, and re-skilling. This book is divided into two parts. Part I discusses the opportunities, challenges, and application of VR technology, and Part II focuses on reimagining education with the metaverse. Readers will find in this book: a description of the relationship between virtual reality and student behavior; a review of VR-enabled tools and techniques for an immersive environment; a discussion on VR in the context of vocational education by developing a conceptual framework and roadmap for its adoption; an overview of the advantages, disadvantages, and mechanisms of VR through a detailed analysis showing a comparison of the strong and weak points of the technologies being used in education; a look at the future of learning in the context of VR; a description of the relevance of VR in emerging economies with the help of bibliometric analysis and discusses its future potential; a review of Metaverse as a new education avatar showcasing diverse educational experiences and how to reimagine teaching; an explanation of the relevance of emerging digital technologies in upskilling employees in fashion retail to impart an immersive experience for customers; a proposed framework for mapping the use of VR for students with autistic spectrum disorder (ASD). Audience The book is designed for information technologists, educational researchers, teachers, policymakers, government officials, and business managers. |
| ai chatbot for higher education: Impact and implications of AI methods and tools for the future of education Kingsley Okoye, Samira Hosseini, Kamal Kant Hiran , Julius Nganji, 2024-06-07 The congruence of technology such as AI and its use for education can help transform the different pedagogical practices and future of education. Educational organizations like The UNESCO and The World Bank are already calling for research and development-oriented projects, and creation/mobilization of technological initiatives on how to re-imagine education and operationalize the use of digital technologies for its purpose, the Digitized-Education. Those goals mean or include methodological approaches and wide adoption of the AI-methods in fostering education in the classroom or learning environments. Also noteworthy is the fact that digitized-education is now an inevitable and integral element to achieving the global sustainable development goals (SDGs) particularly the SDG4 that promotes quality of education. |
| ai chatbot for higher education: AI, Blockchain and Self-Sovereign Identity in Higher Education Hamid Jahankhani, Arshad Jamal, Guy Brown, Eustathios Sainidis, Rose Fong, Usman J. Butt, 2023-06-22 This book aims to explore the next generation of online learning challenges including the security and privacy issues of digital transformation strategies that is required in teaching and learning. Also, what efforts does the industry need to invest in changing mind-sets and behaviours of both students and faculty members in adoption of virtual and blended learning? The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI, blockchain and self-sovereign identity, but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges in higher education. The book provides a valuable reference for cyber security experts and practitioners, network security professionals and higher education strategist and decision-makers. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security and AI in higher education. Each chapter is written by an internationally renowned expert who has extensive experience in industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills. |
| ai chatbot for higher education: Artificial Intelligence-Augmented Digital Twins Abdalmuttaleb M. A. Musleh Al-Sartawi, Anas Ali Al-Qudah, Fadi Shihadeh, 2024-01-19 Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking. |
| ai chatbot for higher education: Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education Omona, Kizito, O'dama, Modest Kayi, 2024-02-27 In the rapidly evolving landscape of higher education, where the acquisition of knowledge is a lifelong pursuit, educators and institutions are redefining the paradigms of learning through innovative approaches. Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education delves into the intricate tapestry of contemporary education, where the convergence of advanced pedagogies and cutting-edge technologies is reshaping traditional boundaries. As the realms of chatbots, gamification, and hybrid learning intersect, a new era of holistic education emerges, seamlessly blending theoretical prowess with experiential wisdom. The book unfurls with meticulous exploration of pivotal themes, embracing the nuanced realms of instructional design, learning analytics, and library services tailored for the modern educational era. From the granular landscapes of microlearning to the macroscopic view of global teacher retention strategies, the book leaves no stone unturned. This book is a symphony of intellectual rigor, orchestrated to resonate with educators, administrators, researchers, and all stakeholders vested in the future of learning. |
| ai chatbot for higher education: Research Handbook on Innovations in Assessment and Feedback in Higher Education Carol Evans, Michael Waring, 2024-10-03 Bringing together emerging and world-leading scholars from across the globe, this prescient Research Handbook presents cutting-edge research methodologies within the field of higher education assessment and feedback. It explores how students should be supported in a rapidly changing, and increasingly technological, academic world. |
| ai chatbot for higher education: Transforming the Financial Landscape With ICTs Singh, Dharmendra, Malik, Garima, Aggarwal, Shalini, 2024-05-14 In modern finance, academic scholars face a pressing dilemma - how to grapple with the sweeping influence of Information and Communication Technology (ICT). As ICT continues to transform financial practices, transactions, and data analysis, scholars are confronted with the daunting challenge of comprehending and navigating this rapidly changing terrain. Moreover, the disruptive potential of ICT introduces a range of intricate issues, including cybersecurity vulnerabilities, ethical quandaries, and privacy concerns. In the absence of a comprehensive guide, scholars find themselves adrift, searching for direction amidst the tumultuous waves of the digital revolution. Transforming the Financial Landscape With ICTs is a beacon of knowledge amid the turbulence of ICT-driven financial transformation. This meticulously curated book presents a vast array of research papers and case studies that delve deep into the multifaceted impact of ICT on the finance sector. It not only illuminates the path forward but also underscores the positive potential of embracing ICT as a catalyst for progress, championing efficiency, transparency, and inclusivity within finance. |
| ai chatbot for higher education: Using Traditional Design Methods to Enhance AI-Driven Decision Making Nguyen, Tien V. T., Vo, Nhut T. M., 2024-01-10 In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials. |
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Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, …
ISO - What is artificial intelligence (AI)?
AI spans a wide spectrum of capabilities, but essentially, it falls into two broad categories: weak AI and strong AI. Weak AI, often referred to as artificial narrow intelligence (ANI) or narrow AI, …
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What is artificial intelligence (AI)? - IBM
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What is Artificial Intelligence (AI)? - GeeksforGeeks
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