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Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Project Tomorrow, 2025
In support of new local and state discussions about how to most effectively utilize technology in the classroom, Project Tomorrow, in collaboration with Spectrum Business®, is publishing a new series of reports that examine each of the three digital divides (the access, design and use divides) through the lens of the Speak Up Research findings.…
Descriptors: Technology Uses in Education, Access to Computers, Learning Processes, Educational Technology
Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience

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