Adi Ahmad AlQudah
Papers
1
Total Citations
58
H-Index
1
About
Adi Ahmad AlQudah is a leading voice in the intersection of educational technology and artificial intelligence, with a primary focus on understanding and predicting the adoption of emerging technologies in higher education. His most-cited work, a 2024 study examining student readiness for robots in higher education, has already garnered 58 citations, reflecting the timeliness and impact of his research. In this seminal paper, AlQudah masterfully integrates the Unified Theory of Acceptance and Use of Technology (UTAUT2) with the Task-Technology Fit (TTF) model, employing a hybrid structural equation modeling and artificial neural network (SEM-ANN) approach to provide unprecedented insights into the psychological and practical factors driving robot adoption among students. His contributions are pivotal in bridging the gap between technological innovation and human readiness, offering actionable frameworks for educators and policymakers. AlQudah’s work not only advances theoretical understanding but also provides empirical evidence that shapes the future of AI-driven learning environments, making him a key figure in the ongoing dialogue about the role of robots in education.
Research Focus
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