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Direct linkStefan Küchemann; Karina E. Avila; Yavuz Dinc; Chiara Hortmann; Natalia Revenga; Verena Ruf; Niklas Stausberg; Steffen Steinert; Frank Fischer; Martin Fischer; Enkelejda Kasneci; Gjergji Kasneci; Thomas Kuhr; Gitta Kutyniok; Sarah Malone; Michael Sailer; Albrecht Schmidt; Matthias Stadler; Jochen Weller; Jochen Kuhn – npj Science of Learning, 2025
Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Intermode Differences
Burç Çeken; Nazim Taskin – Journal of Computer Assisted Learning, 2025
Background: Multimedia learning, encapsulating both visual and verbal information, has become pivotal in educational settings, with extensive research underscoring its influence. However, a notable research gap exists concerning the application and effectiveness of multimedia learning principles, precisely segmenting, pre-training and modality,…
Descriptors: Multimedia Instruction, Computer Simulation, Educational Environment, Instructional Effectiveness
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
Austin U. Gehret; Lisa B. Elliot – Educational Technology Research and Development, 2025
Developing digital materials for learning purposes, or e-learning materials, is not as straightforward as it may seem. The traditional approach is multimedia instruction, the presentation of both pictures and words in an e-learning format to foster learning. However, multimedia instruction, to develop meaningful learning, needs to support the…
Descriptors: Educational Technology, Technology Uses in Education, Multimedia Instruction, Students with Disabilities
Serkan Perkmen – Journal of Digital Learning in Teacher Education, 2025
The current study introduced and assessed the effectiveness of a multimedia-based instructional strategy to enhance the technology integration self-efficacy of 98 special education pre-service teachers. 78% of participants demonstrated growth in their self-efficacy scores. Specifically, pre-service teachers with initial low and medium…
Descriptors: Preservice Teachers, Special Education Teachers, Self Efficacy, Technology Integration
Abhipriya Roy; S. Bhavani – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study examines the effectiveness of the Digital Storytelling (DST) teaching approach in improving English learning among ninth graders in four schools in Bengaluru, India. Using a sequential mixed-methods design, the quantitative phase included a non-randomized, post-test-only quasi-experimental design with 200 students divided into a…
Descriptors: Foreign Countries, Story Telling, English (Second Language), Second Language Instruction
Download full textPotsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
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
Akbar Bahari; Feifei Han; Artur Strzelecki – Education and Information Technologies, 2025
Given the great potential of integrating Computer-Assisted Language Learning (CALL) and Artificial Intelligence-Assisted Language Learning (AIALL) to enhance language learning outcomes, there is a growing interest in exploring their combined effects. In this vein, the present study aimed to develop and test an interactive pedagogical model of…
Descriptors: Computer Assisted Instruction, Second Language Learning, Artificial Intelligence, Technology Uses in Education
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
Andrew Middleton – Higher Education Research and Development, 2025
Spatial fluency describes the ability and confidence of an individual to navigate and negotiate their experiences in a postdigital world. This paper reflects on teaching and learning experiences from the COVID-19 pandemic lockdown and its aftermath, and on the volatile nature of social media, and the threats and opportunities afforded by AI. It…
Descriptors: Spatial Ability, Digital Literacy, Technology Integration, Technology Uses in Education
Bosede Iyiade Edwards, Editor; Bruno Lot Tanko, Editor; Mustafa Klufallah, Editor; Hassan Abuhassna, Editor; Caleb Chidozie Chinedu, Editor – Lecture Notes in Educational Technology, 2025
This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Learning
