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Peer reviewed
Direct linkElbawab, Mohamed; Henriques, Roberto – Education and Information Technologies, 2023
Electronic learning (e-learning) is considered the new norm of learning. One of the significant drawbacks of e-learning in comparison to the traditional classroom is that teachers cannot monitor the students' attentiveness. Previous literature used physical facial features or emotional states in detecting attentiveness. Other studies proposed…
Descriptors: Students, Electronic Learning, Attention Span, Artificial Intelligence
Jingjing Chen; Bing Xu; Dan Zhang – Educational Technology Research and Development, 2024
Learning-related attention is one of the most important factors influencing learning. Although technologies have enabled the automatic detection of students' attention levels, previous studies mainly focused on colleges or high schools, lacking further validations in primary school students. More importantly, the detected attention might fail to…
Descriptors: Elementary School Students, Attention, Attention Span, Learning Strategies
Download full textGarrett J. Roberts; Esther R. Lindström; Zaira Jimenez; Ekta Ghosh; Senaida Mehmedovic; Kimberly A. McFadden; Mohammad Bahadori Fallah – Grantee Submission, 2023
This systematic review and synthesis summarizes intervention research for Grade K-12 students with a reading difficulty and co-occurring inattention to identify (1) the relevant intervention literature base; (2) the student, study, and intervention characteristics of these studies; (3) the effects of these interventions on reading and behavior…
Descriptors: Elementary Secondary Education, Intervention, Reading Difficulties, Educational Research
Kristin L. Fitzsimmons – Communication Teacher, 2025
This activity challenges students to establish media usage rules for a 30-day digital declutter, during which time they challenge themselves to disengage from distracting digital media. Students write self-assessments about their media habits and relationship to media before beginning the declutter and after they have finished the 30-day…
Descriptors: Media Literacy, Digital Literacy, Learning Activities, Mass Media Use
Deepa, V.; Sujatha, R.; Baber, Hasnan – Higher Learning Research Communications, 2022
Objectives: The purpose of this study is to examine the influence of social media engagement, which includes frequency of using social media platforms (FSMP) and social media involvement, on the academic distraction and academic performance of the student. The study further tests the moderating role of attention control on the relationship between…
Descriptors: Social Media, Attention, Attention Control, Academic Achievement
Annelise Mennicke; Jessamyn Bowling; Erika Montanaro; Madi Williams; Hannah Carlson; Victoria McClare; Erin A. Meehan; Jasmine Temple; Bridget N. Jules; Anvi Tirunagari; Neha Kissler; Phoebe Pruneda; Keshawn S. Mathews; Gabrielle Haley; Michael J. Brienzo; Iris F. McMillan; Anna Yoder; Casey Mesaeh; Christopher Correia; Sarah McMahon – Journal of American College Health, 2025
Objective: The study aimed to identify phases of bystander intervention (BI) for problematic alcohol use (PAU) among college students. Participants: Twenty focus groups and nine interviews were conducted. Methods: Transcripts were thematically analyzed. Results: The phases of the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM)…
Descriptors: Intervention, Audiences, Alcohol Abuse, College Students
Duraisamy Akila; Harish Garg; Souvik Pal; Sundaram Jeyalaksshmi – Education and Information Technologies, 2024
Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully. Technical problems have less impact on offline education, which gives students more freedom to plan their time and stick to it. In addition, teachers cannot observe their students' behavior and activities…
Descriptors: In Person Learning, Student Behavior, Attention, Artificial Intelligence
Integrating Gaze Data and Digital Textbook Reading Logs for Enhanced Analysis of Learning Activities
Ken Goto; Li Chen; Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
Learning logs collected by digital educational systems, increasingly deployed in educational settings, include clickstream logs recorded through page transitions in teaching materials and digital marker logs recorded by drawing a marker. A challenge with these learning logs is their low temporal and spatial resolutions. This paper proposes a…
Descriptors: Eye Movements, Educational Technology, Textbooks, Learning Activities
El-Lim Kim; Douglas A. Gentile; Jennifer Ruh Linder – Social Psychology of Education: An International Journal, 2025
The present study examined the associations among social media use and academic self-efficacy, academic procrastination, and academic achievement. Grit was proposed as the potential mediator between social media use and different academic variables. Two samples of undergraduate students recruited from two different universities in the U.S. (Study…
Descriptors: Social Media, Outcomes of Education, Integrity, Attention
Sergio Gatica-Ferrero; Daniela Durán-Irribarra – Electronic Journal of Research in Educational Psychology, 2024
Introduction: This study seeks to psychometrically evaluate the inattention and hyperactivity/impulsivity subscales of the Vanderbilt ADHD Teacher Rating Scale (VADTRS) for the diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) in children and adolescents in Chile. Method: The sample included 353 students from the 2nd grade of primary…
Descriptors: Foreign Countries, Attention Deficit Hyperactivity Disorder, Psychometrics, Attention
Suhye Kim; Jung-Hwan Kim; Wooseok Hyung; Suhkyung Shin; Myoung Jin Choi; Dong Hwan Kim; Chang-Hwan Im – IEEE Transactions on Learning Technologies, 2024
With the widespread application of online education platforms, the necessity for identifying learners' mental states from webcam videos is increasing as it can be potentially applied to artificial intelligence-based automatic identification of learner states. However, the behaviors that elementary school students frequently exhibit during online…
Descriptors: Educational Technology, Medicine, Diagnostic Tests, Attention
Thao Pham; Wu-Yuin Hwang; Xuan-Lam Pham – Journal of Computer Assisted Learning, 2024
Background: Examining student attention in physical classrooms is crucial, but it faces challenges due to the lack of accurate monitoring. Constraints posed by device limitations and the design of educational materials impede the integration of eye-tracking technology in these settings. Objectives: This study aims to (1) develop a wearable…
Descriptors: Attention, Eye Movements, Physical Environment, Classroom Environment
Berdeaux, Kally L.; Lerman, Dorothea C.; Williams, Sarah D. – Journal of Applied Behavior Analysis, 2022
Past research has demonstrated the effectiveness of teacher-implemented, function-based treatments for problem behavior, but no studies have evaluated the impact of distractions on teachers' procedural integrity. In this proof-of-concept study, the experimenters employed a laboratory analog to examine the impact of distractions on levels of…
Descriptors: Behavior Problems, Attention, Teachers, Negative Reinforcement
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment
Yujie Zhou; Liping Deng – Australasian Journal of Educational Technology, 2024
Smartphone multitasking is prevalent in university classrooms, yet the nature and characteristics of this behavior have not been sufficiently understood. This empirical study explores in-class smartphone multitasking behaviors using diverse research approaches to achieve a more authentic and holistic understanding of this pervasive behavior.…
Descriptors: Handheld Devices, Telecommunications, Student Behavior, Time Management
