Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 26 |
| Since 2017 (last 10 years) | 58 |
| Since 2007 (last 20 years) | 95 |
Descriptor
| Student Behavior | 187 |
| Time Factors (Learning) | 187 |
| Teaching Methods | 49 |
| Time on Task | 45 |
| Academic Achievement | 43 |
| Teacher Behavior | 34 |
| Classroom Techniques | 33 |
| Foreign Countries | 33 |
| Classroom Environment | 26 |
| Elementary Education | 23 |
| Elementary Secondary Education | 21 |
| More ▼ | |
Source
Author
| Bastable, Eoin | 2 |
| Burns, Matthew K. | 2 |
| Capie, William | 2 |
| Fisher, Charles W. | 2 |
| Gion, Cody | 2 |
| Halasz, Ida M. | 2 |
| Holcombe-Ligon, Ariane | 2 |
| Marliave, Richard | 2 |
| McCroskey, Connor | 2 |
| Nese, Joseph F. T. | 2 |
| Nese, Rhonda N. T. | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| California | 4 |
| United Kingdom (England) | 4 |
| Canada | 3 |
| Netherlands | 3 |
| South Korea | 3 |
| Turkey | 3 |
| China | 2 |
| Florida | 2 |
| Greece | 2 |
| Jordan | 2 |
| United Kingdom | 2 |
| More ▼ | |
Laws, Policies, & Programs
| Individuals with Disabilities… | 2 |
| Rehabilitation Act 1973… | 1 |
Assessments and Surveys
| Kaufman Assessment Battery… | 1 |
| Learning Style Inventory | 1 |
| Peabody Individual… | 1 |
| Stanford Binet Intelligence… | 1 |
| Vineland Adaptive Behavior… | 1 |
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
| Does not meet standards | 2 |
Hsu, Chia-Yu; Horikoshi, Izumi; Li, Huiyong; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
The development of technology enables diverse learning experiences nowadays, which shows the importance of learners' self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to…
Descriptors: Foreign Countries, Grade 7, Independent Study, Time Factors (Learning)
Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
Baines, Ed; Blatchford, Peter – British Educational Research Journal, 2023
Breaktimes are ubiquitous in English schools. Research suggests they have social value for children, but school staff often have a range of concerns about breaktimes and tend to undervalue them. However, there is little understanding about these times, not least because data are not collected about their organisation and characteristics. This…
Descriptors: Foreign Countries, Educational Trends, Recess Breaks, Lunch Programs
Xiuling He; Leyao Zhang; Yangyang Li; Xiong Xiao; Haojie Wang; Di Wu – Education and Information Technologies, 2025
With the development of mobile Internet and digital technologies, online education platforms transcend time and space constraints to provide ubiquitous learning environments. However, high dropout rates and low pass rates pose a great challenge. Predicting student performance enables early identification of academic failure tendencies,…
Descriptors: Prediction, Online Courses, Electronic Learning, Data Use
Pavlov, Alexis; Duhon, Gary; Dawes, Jillian – Journal of Behavioral Education, 2023
Interventions that match demands to ability can enhance both academic performance and behavioral performance. However, it is unknown whether the instructional match or subsequent increases in engagement with the instructional material differentially impacts learning. The current study evaluated the effect of task difficulty on on-task behavior and…
Descriptors: Students, Learner Engagement, Difficulty Level, Learning
Effect of Acquisition Rates on Off-Task Behavior of Kindergarten Students While Learning Sight Words
Burns, Matthew K.; Aguilar, Lisa N.; Warmbold-Brann, Kristy; Preast, June L.; Taylor, Crystal N. – Psychology in the Schools, 2021
Assessing a student's acquisition rates (ARs) is a reliable way to determine how many new words should be taught in one lesson without reducing retention. Exceeding a student's AR can result in frustration and problem behaviors. The purpose of this study was to examine the effect of AR on the off-task behavior of kindergarten students while…
Descriptors: Time on Task, Vocabulary Development, Kindergarten, Sight Vocabulary
Elissavet Papageorgiou; Jacqueline Wong; Mohammad Khalil; Annoesjka J. Cabo – Journal of Learning Analytics, 2025
Behavioural engagement as a predictor of academic success hinges on the interplay between effort and time. Exploring the longitudinal development of engagement is vital for understanding adaptations in learning behaviour and informing educational interventions. However, person-oriented longitudinal studies on student engagement are scarce.…
Descriptors: Learner Engagement, Student Behavior, Electronic Learning, Web Based Instruction
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)
Lahza, Hatim; Smith, Tammy G.; Khosravi, Hassan – British Journal of Educational Technology, 2023
Traditional item analyses such as classical test theory (CTT) use exam-taker responses to assessment items to approximate their difficulty and discrimination. The increased adoption by educational institutions of electronic assessment platforms (EAPs) provides new avenues for assessment analytics by capturing detailed logs of an exam-taker's…
Descriptors: Medical Students, Evaluation, Computer Assisted Testing, Time Factors (Learning)
Gordon, Chelsea L.; Lysecky, Roman; Vahid, Frank – IEEE Transactions on Education, 2023
Computer science textbooks with lengthy text explanations of concepts are often considered thorough and rigorous, so lengthy textbooks (and class notes) are commonplace. Some, however, suggest text should be concise because people tend to skim lengthy text. This article takes advantage of modern digital textbooks that measure reading time to…
Descriptors: Computer Science Education, Electronic Books, Textbooks, Student Behavior
Hartwig, Marissa K.; Malain, Eric D. – Grantee Submission, 2021
We examined students' naturalistic decisions about spacing their study in an undergraduate course (N=185) and whether self-selected spacing predicted course performance. Usage of two study tools -- an online textbook and quiz tool -- was recorded daily. We operationalized spacing as how often the tools were used and the timing of their use…
Descriptors: Study Skills, Learning Strategies, Study Habits, Undergraduate Students
Sally B. Shepley; Amy D. Spriggs; Mark Samudre; Kai M. O'Neill – Focus on Autism and Other Developmental Disabilities, 2025
Exercise is necessary for healthy living, yet individuals with intellectual disability (ID) remain strikingly inactive compared with nondisabled peers. To improve this outcome, individuals with ID can exercise independently by self-instructing. Self-instruction is considered a pivotal skill once it generalizes to untrained stimuli. This study used…
Descriptors: Students with Disabilities, Elementary School Students, Intellectual Disability, Exercise
Hui Wang; Yuting Liu; Jin-Tae Kim – International Journal of Web-Based Learning and Teaching Technologies, 2024
The intervention of modern teaching media in classroom teaching activities has greatly extended the time and space of teaching practice, and new teaching methods, teaching models, and teaching designs have emerged one after another. Improving pertinence and effectiveness and cultivating high-quality talents with solid theoretical foundations…
Descriptors: Courseware, Multimedia Instruction, Electronic Learning, Correlation
Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
Deng, Liping; Zhou, Yujie; Hu, Qingchun – International Journal of Educational Technology in Higher Education, 2022
Framed by social learning theory, the study examines a set of personal and social factors determining off-task social media multitasking inside university classrooms. We aim to clarify the relationships between social media multitasking and self-efficacy, intrinsic motivation, multitasking preference as well as peer distraction, and to elucidate…
Descriptors: Social Media, Foreign Countries, College Students, Self Efficacy

Peer reviewed
Direct link
