Introduction to the Special Issue: Higher Education in an AI-Transformed World
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
Oksana V. Vashetina, Tatyana Shoustikova, Natalia A. Zaitseva, Yelizaveta V. Chereshneva, Mariia S. Pavlova, Zhanna M. Sizova, Andrey V. Suslov
Highly cited edtech research focuses on technology acceptance (TAM/UTAUT), interactive environments, and post-pandemic hybrid learning.
This bibliometric study analyzed the 100 most-cited educational technology articles published between 2005 and 2024. It found that research interest peaked in 2020, with key themes centering on interactive learning environments, digital tool integration, and pandemic-era remote instruction. Furthermore, the most influential research heavily relies on technology acceptance models and individual learner characteristics to evaluate tool adoption.
When introducing new learning technologies, prioritize assessing and lowering barriers to learner acceptance using established frameworks like TAM or UTAUT. Focus design efforts on creating highly interactive environments and robust blended learning models, which represent the most validated areas of educational technology. Additionally, incorporate tools that support continuous learning-process monitoring rather than relying solely on post-hoc assessments.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
In online discussions, students synthesize and integrate ideas most deeply when they see the practical utility of the topic.
For effective constructivist serious games, focus on three key design elements: learner autonomy, sensory feedback, and clear objectives.
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