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Direct linkMengshi Xiao; Weizi Li; Lei Han; Shasha Zheng – Journal of Computer Assisted Learning, 2025
Background: In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives: This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice…
Descriptors: Multimedia Instruction, Instructional Design, Computer Simulation, Student Attitudes
Ghanis Putra Widhanarto; Zamzami Zainuddin; Titi Prihatin; Sunawan Sunawan; Amirul Mukminin; Seftia Kusumawardani; Mulawarman Mulawarman – Information and Learning Sciences, 2025
Purpose: This study aims to examine the effectiveness of Web-based interactive (WBI) presentations in reducing students' cognitive load and increasing their situational interest in learning. Traditionally, many learning practices fail to optimize students' cognitive resources by presenting irrelevant content and activities. However, practical…
Descriptors: Internet, Web Based Instruction, Gamification, Cognitive Processes
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Tim Kühl; Felicia Teske; Martin Merkt; Christina Sondermann – Educational Technology Research and Development, 2025
The empirical evidence concerning the question whether an instructor should be presented on online lecture slides is equivocal and two lines of theoretical reasoning exist. On the one hand, the instructor may distract from the content, thereby hampering learning; on the other hand, the instructor may function as a social cue that triggers a more…
Descriptors: Lecture Method, Visual Aids, Online Courses, Attention Control
Jie Bai; Xiulan Cheng; Hui Zhang; Yihang Qin; Tao Xu; Yun Zhou – Education and Information Technologies, 2025
The advancement of AI-generated content (AIGC) has made creating pedagogical agents (PAs) for multimedia learning increasingly realistic, simpler, and more efficient. However, little is known about the acceptance of AI-generated pedagogical agents (AIPAs) in picture book videos among young children aged 3-6. To address this, the present study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Picture Books
Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
