Generative Artificial Intelligence in Higher Education

Topic Information

Dear Colleagues,

Our Topic explores how generative AI (GenAI) affects higher education at various levels and how it shapes teaching, learning, and leadership in higher education worldwide. With the advent of GenAI, the higher education sector must constantly evolve to keep up with the latest technological advances. In particular, the rapid deployment of new tools based on GenAI has renewed the challenge of adopting new tools. Investigating and understanding the implications of GenAI in higher education is critical, in addition to exploring how to adapt the educational environment to ensure that the next generation of students can benefit from GenAI while efforts are made to limit its negative consequences.

Our Topic includes but is not limited to discussing the experiences and consequences of using Gen AI in curriculum and course implementation and its impact on institutions, instructors, and students. Another important aspect concerns formulating new discussions to create a pathway for standard regulation of disruptive technologies such as GenAI.

The institutional level:

• Empirical studies on Gen AI policy and practice within and across institutions
• Innovations in Gen AI from higher education
• AI literacy and digital skills

The program/curriculum level:

• Gen AI’s effect on assessment and accreditation
• Implementing Gen AI into a college curriculum across disciplines

The course level focus:

• Using Gen AI in classrooms, assignments, and assessments.
• Different disciplines and Gen AI
• Learning process and outcomes and Gen AI

The instructor-level focus:

• Integrating GenAI in the classroom activities and assignments
• Tech skills and GenAI
• Pedagogy and GenAI

The Student-level focus:

• Use of GenAI and ethics
• Case studies on student behavior with GenAI
• The expectations of GenAI use in a college classroom

Multiple stakeholders’ perspectives:

• Ethical use of GenAI in higher education
• Inclusivity and equality in the context of GenAI in higher education
• Aligning interests among multiple stakeholders in the use of Gen AI (industry/employers, university staff, and students)

Dr. Xin Zhao
Prof. Dr. Minna Rollins
Dr. Marco Carratu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
AI ai	3.1	7.2	2020	17.6 Days	CHF 1600	Submit
Education Sciences education	2.5	4.8	2011	26.8 Days	CHF 1800	Submit
Electronics electronics	2.6	5.3	2012	16.8 Days	CHF 2400	Submit

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Published Papers

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