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DataCamp Classrooms

How Generative AI is Shaping Higher Education

November 2024

Your Presenter(s)

Mafer Bencomo

Marketing Manager at DataCamp

Dr Linus Wunderlich

Lecturer in Financial Mathematics at Queen Mary University of London

Dr Linus Wunderlich is a Lecturer in Financial Mathematics at Queen Mary University of London. He co-developed and taught several courses that introduce business students to the potential of AI-driven decision making. Together with Allen Higgins and Yossi Lichtenstein he reported on his teaching in the article " Machine Learning for Business Students: An Experiential Learning Approach”. In his research, he applies machine learning methods to derivative pricing and risk measurement and investigates their mathematical foundation.

Allen Higgins

College Lecturer / Research Associate at University College Dublin, Centre for Innovation, Technology and Innovation

Allen is research active and has a history of participation in funded research projects for both EU and Irish agencies. This experience spans proposal writing, competitive grant awards and in the following roles: PI, project manager, and contributing researcher. He engages with his discipline by volunteering as a conference reviewer, associate editor, committee member, and as organization board member. He actively engages with the professional community by inviting industry people for symposia, panels, classes, and media recordings.

He has been invited to speak and lecture in other institutions within his academic network, principally: the University of Muenster and the University of Warwick. He has experience as an organizing committee member/contributor for reading groups, seminars, symposia, national and international conferences including nine Quadrangular Conferences 2007-2016; IFIP WG8.2 Working Conference Dublin 2016 (International Federation for Information Processing - Working Group 8.2 | Information Systems and Organizations); ICIS Dublin 2016 (the International Conference for Information Systems); and ITiCSE 2022 Dublin (Innovation and Technology in Computer Science Education).

Cody Schellenberger

Instructor at Northern Alberta Institute of Technology

Cody grew up on a small farm in Spruce Grove, Alberta, Canada. It was through working at the family business and parents that fostered his love of technology that Cody cultivated a passion for problem-solving and systems thinking. Cody fell in and out of love with Science at the University of Alberta. Not wanting to pursue a Bachelor of Science degree, he abruptly shifted into a Bachelor of Music and a Bachelor of Education program. Cody also acquired a data science certificate through Springboard in 2018, after returning from a three-year role as Assistant Technology Director at the American International School-Riyadh, Saudi Arabia. With a diverse set of skills and a lingering passion for technology, Cody has taught at all levels from grade one music education to post-secondary business analysis. He currently teaches within the IT Business Analysis program at the Northern Alberta Institute of Technology where he supports aspiring business analysis professionals.

Dr. Anthony Blash

Associate Professor at Belmont University -College of Pharmacy & Health Sciences

Anthony Blash received his Bachelors in Computer Science from Kean University in Union NJ, his Bachelors in Pharmacy from The Arnold and Marie Schwartz College of Pharmacy at Long Island University in Brooklyn NY and his Doctor of Pharmacy degree from the School of Pharmacy and Health Professions at Creighton University in Omaha NE.

Dr. Blash has completed the Pharmacy Informatics residency at Creighton University’s School of Pharmacy and Health Professions in Omaha, NE and holds the distinction of being the first pharmacy graduate in the nation to complete a pharmacy informatics residency.

Dr. Blash is primarily responsible for teaching in the healthcare informatics concentration at Belmont.

Dr. Blash came to the Belmont University College of Pharmacy from corporate America, having most recently held the position of Pharmacist Informaticist at Adventist Health West Corporate Headquarters in Roseville CA, where he was responsible for pharmacy informatics and clinical decision support initiatives at 19 hospitals and 130 physician and rural health clinics.

Summary

Generative AI is reshaping higher education, prompting educators to rethink curricula, teaching methods, and assessment strategies. The rapid rise of AI technologies has introduced both opportunities and challenges in academia, as educators seek to balance technology's potential with the need for human-centered learning. A panel of experts explores how generative AI is influencing teaching practices, the adaptations required in syllabi, the implications for examinations, and the evolving role of educators. The consensus is that AI can be a powerful tool to enhance learning, but it necessitates thoughtful integration and ethical considerations. As students increasingly use AI for learning and productivity, educators must guide them in ethical usage and critical evaluation of AI-generated content. The shift towards project-based learning and the focus on process over final results are seen as effective ways to use AI's benefits while maintaining academic integrity.

Key Takeaways:

Generative AI is transforming education by providing new tools for teaching and learning.
The integration of AI into curricula is uneven, with some institutions embracing it faster than others.
A focus on process and project-based learning helps mitigate the challenges of AI in assessments.
Students and educators must be equipped with skills to use AI ethically and evaluate its outputs critically.
The role of educators is evolving, but human-centered learning remains essential.

Detailed Insights

Adapting to Generative AI in Education

Generative AI's emergence has significantly impacted higher education, prompting educators to consider its role in teaching and learning. As educators like Cody Schellenberger note, AI tools can democratize access to information, allowing students to engage more deeply with content and encouraging creativity and critical thinking. However, the challenge lies in ensuring these tools are used ethically and effectively. Institutions must provide clear guidelines and support to help educators integrate AI into their curricula thoughtfully. This includes addressing concerns about plagiarism and over-reliance on AI-generated content. By focusing on the learning process rather than just the outcomes, educators can help students develop critical skills that will be valuable in an AI-enhanced world.

Adapting Curricula to Incorporate AI

The integration of AI into educational curricula varies widely across institutions, reflecting different levels of readiness and acceptance. As Linus Wunderlich points out, while some modules have quickly adapted to include AI-related content, broader institutional changes are slower. Educators are encouraged to incorporate AI into their teaching by designing assignments that require students to engage critically with AI tools, ensuring they understand both the capabilities and limitations of these technologies. This approach helps students develop a nuanced understanding of AI, preparing them for a future where AI skills are increasingly valued in the workforce. However, institutions must also address the ethical implications of AI use, providing guidance on responsible usage.

Examining the Role of Exams in an AI-Driven World

The traditional exam format faces challenges in an era where AI tools can provide answers to almost any question. Educators like Anthony Blash emphasize the need to rethink assessment strategies to focus on the learning process rather than just the final product. This shift can involve project-based learning, where students demonstrate their understanding through practical applications and reflective exercises. By doing so, educators can ensure that students are developing the skills necessary to use AI tools effectively and ethically. Moreover, this approach helps maintain academic integrity, as students must engage with the material meaningfully rather than relying solely on AI-generated answers.

The Evolving Role of Educators

As AI technologies become more integrated into education, the role of educators is evolving. While AI can provide valuable support in delivering content and offering personalized learning experiences, it cannot replace the human elements of teaching, such as mentorship, empathy, and the ability to inspire students. Educators must adapt by becoming facilitators of learning, guiding students in their use of AI tools and helping them develop critical thinking and problem-solving skills. As Allen Higgins suggests, educators can use AI to focus more on the learning experience, encouraging students to take ownership of their education and preparing them for a world where AI is a ubiquitous part of life.