NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 202512
Since 202453
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 53 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zonghua Shi; Jennifer Shearon; Elena M. Kaufman; Andy Y. Lu; Alexis M. Suarez; Natalie M. Rogler; Miranda R. Miller; Emily R. Cohen-Shikora – Applied Cognitive Psychology, 2025
The Illusory Truth Effect (ITE) is a cognitive bias wherein participants rate repeated statements as more truthful relative to new statements. Although this effect may be less adaptive in our current media climate, where repeated information can circulate easily, few studies have examined how to mitigate or reduce it. In the current studies, we…
Descriptors: Cognitive Processes, Bias, Intervention, Evaluative Thinking
Peer reviewed Peer reviewed
Direct linkDirect link
Zhicong Zhang; Yuting Gao; Yafeng Pan; Jiaxian Zhou – TechTrends: Linking Research and Practice to Improve Learning, 2024
To further enhance the understanding of video education, researchers have started leveraging neuroscientific approaches to investigate the underlying cognitive processes and their correlation with learning outcomes. This concise review begins by examining recent behavioral studies that focus on teachers, students, and video media within the video…
Descriptors: Video Technology, Neurosciences, Cognitive Processes, Outcomes of Education
Peer reviewed Peer reviewed
Direct linkDirect link
Heng Yue; Guang Yang; Hugejiletu Bao; Xinzhe Bao; Xuemin Zhang – Psychology in the Schools, 2024
Although the relationships between some antecedents (such as affective disorders and negative emotions) and short-form video addiction have been verified by previous studies, the association between negative cognitive bias and this addictive behavior has not been examined, and the underlying psychological mechanisms are still unclear. The present…
Descriptors: Psychological Patterns, Video Technology, Addictive Behavior, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Cynthia Y. Delgado; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…
Descriptors: Computer Simulation, Experiential Learning, Instructional Effectiveness, Transfer of Training
Peer reviewed Peer reviewed
Direct linkDirect link
Qiuchen Yu; Jiangfeng Gou; Yan Li; Zhongling Pi; Jiumin Yang – British Journal of Educational Technology, 2024
Instructional videos risk overloading learners' limited working memory resources due to the transient information effect. Learner control is one way to mitigate this concern, but has shown almost zero overall effect and considerable heterogeneity. Consequently, it is essential to identify when learner control is most beneficial. The present study…
Descriptors: Video Technology, Audiovisual Aids, Cues, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Hung-Tao M. Chen; Katelyn L. McClure; Thomas W. Morris – Technology, Knowledge and Learning, 2024
Picture-in-Picture (PIP) is an effective lecture video design that includes a screen capture video in the center and the instructor's talking head in one corner. Few research studies have directly investigated the usage of PIP lecture design by non-native English-speaking (NNES) instructors. The current study investigated the effects of PIP…
Descriptors: Undergraduate Students, Electronic Learning, Video Technology, Native Speakers
Peer reviewed Peer reviewed
Direct linkDirect link
Zhongling Pi; Huixin Chai; La Li; Xinru Zhang; Xiying Li – Journal of Computer Assisted Learning, 2024
Background: Learning from video lectures with peers, that is, co-viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co-viewing video lectures in terms of learning performance, mental effort, and interpersonal…
Descriptors: Learning Motivation, Cooperative Learning, Video Technology, Lecture Method
Peer reviewed Peer reviewed
Direct linkDirect link
Zhujun Jiang; Yicong Zhang; Feng-Kuang Chiang – British Journal of Educational Technology, 2024
A 360-degree video offers a novel visual experience for education. This immersive experience not only amplifies students' engagement and curiosity but also assists them in delving into and comprehending intricate concepts from a multitude of viewpoints. Given its novelty, there is a relative shortage of studies on 360-degree video's overall…
Descriptors: Meta Analysis, Video Technology, Outcomes of Education, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Jessica Bradshaw; Xiaoxue Fu; John E. Richards – Developmental Science, 2024
Sustained attention (SA) is an endogenous form of attention that emerges in infancy and reflects cognitive engagement and processing. SA is critical for learning and has been measured using different methods during screen-based and interactive contexts involving social and nonsocial stimuli. How SA differs by measurement method, context, and…
Descriptors: Infants, Child Development, Attention Span, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Yi Zhang; Ke Xu; Yun Pan; Zhongling Pi; Jiumin Yang – Active Learning in Higher Education, 2025
The current study investigated the effects of segmentation design and drawing on college students' video learning. Participants were 158 college students randomly assigned to view either a segmented or continuous video lecture (video type: segmented vs continuous) and who either received instructed to draw while learning or no instructions at all…
Descriptors: College Students, Video Technology, Lecture Method, Eye Movements
Peer reviewed Peer reviewed
Direct linkDirect link
Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
Peer reviewed Peer reviewed
Direct linkDirect link
Xu Chen; Di Wu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) is widely recognized as one of the most influential technologies for the future, having sparked a paradigm shift in scientific research. The field of education has also been greatly impacted by this transformative technology, with researchers exploring the applications of generative AI, particularly ChatGPT,…
Descriptors: Automation, Multimedia Materials, Instructional Materials, Artificial Intelligence
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4