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.
Natalia Kucirkova, Athina Kardiakou, Olav Schewe, Nicola Pitchford
EdTech success depends on contextual readiness; the new EdTech Viability Index measures technical, economic, human, and system viability.
To address the gap in evaluating how real-world contexts affect educational technology outcomes, researchers developed the EdTech Viability Index. By consolidating academic literature and expert feedback, they established four core dimensions of viability: technical, economic, human, and system. This index provides a measurable rubric to assess whether target environments are ready to successfully implement and sustain specific EdTech tools.
When selecting or designing EdTech solutions, instructional designers must look beyond learning outcomes and formally assess technical, human, and systemic constraints. Use viability rubrics during your front-end analysis to ensure target environments can realistically support the tool. Designing with implementation viability in mind reduces the risk of project failure due to unseen environmental friction.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
Highly cited edtech research focuses on technology acceptance (TAM/UTAUT), interactive environments, and post-pandemic hybrid learning.
Teacher digital training fails when it only focuses on individual skills; success requires designing for the whole organizational system.
Integrating AR with animated multidimensional concept maps boosts students' positive emotions and academic performance in complex subjects.
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