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Quanwei Shen; Bin Gao; Jiamei Lu; Qiong Ge; Xiaoqi Yan; Baige Chen – Education and Information Technologies, 2024
In the context of the increasingly integrated development of information technology and classroom instruction, university students are engaging in a growing portion of their learning within online spaces. Against this backdrop, the investment in online learning engagement has become a topic of significant interest among numerous researchers. Prior…
Descriptors: Interpersonal Relationship, Electronic Learning, Learner Engagement, Foreign Countries
Trendeline Haliti-Sylaj; Alisa Sadiku – Eurasian Journal of Applied Linguistics, 2024
Frequent reels that have gained immense popularity on platforms like TikTok, Instagram, and YouTube, significantly reduce attention span and impairs academic performance. This study investigates the impact of frequent exposure to short video reels on undergraduate students' attention span and academic performance, assuming that attention span…
Descriptors: Undergraduate Students, Films, Attention Span, Academic Achievement
Jiahui Wang – Innovations in Education and Teaching International, 2024
With an increasing number of videos integrating instructor's visuals on screen, we know little about the impacts of this design on mind wandering. The study aims to investigate a) how instructor visibility impacts mind wandering; b) the relationship between mind wandering and retention performance; c) how visual behaviour during video-watching…
Descriptors: Attention Span, Video Technology, Visual Aids, Eye Movements
Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
Joseph T. Wong; Edward Chen; Natalie Au-Yeung; Bella S. Lerner; Lindsey Engle Richland – Education and Information Technologies, 2024
Traditionally, learning among young students has taken place within structured, physical classroom settings. However, the emergence of distance learning has introduced a diverse range of learning methods, including online, hybrid, and blended approaches. When the COVID-19 pandemic led to extended delays in in-person instruction, use of educational…
Descriptors: Electronic Learning, Learning Experience, Attention Span, Interests
Zachary J. Roman; Patrick Schmidt; Jason M. Miller; Holger Brandt – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading to erroneous inference. There are multiple approaches to identifying and accounting for C/IER in survey settings, of these approaches the best performing…
Descriptors: Structural Equation Models, Bayesian Statistics, Response Style (Tests), Robustness (Statistics)
Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)