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Alexandros Liapis; Vicky Maratou; Theodor Panagiotakopoulos; Christos Katsanos; Achilles Kameas – Interactive Learning Environments, 2023
The current era of (e-)learning invests heavily on Massive Open Online Courses (MOOCs). Various dedicated MOOC platforms are used, such as Coursera, Udacity, and Open edX. Moodle, one of the most popular open-source Learning Management Systems (LMS), has been also used for MOOC implementations. Usability and user experience (UX) are very important…
Descriptors: MOOCs, Usability, Learning Management Systems, Computer Software Evaluation
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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
Mathematical stories can enhance students' motivation and interest in learning mathematics, thereby positively impacting their academic performance. However, due to resource constraints faced by the creators, generative artificial intelligence (GAI) is employed to create mathematical stories accompanied by images. This study introduces a method…
Descriptors: Mathematics Education, Story Telling, Readability, Artificial Intelligence
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Jonathan Malone – Language Learning & Technology, 2025
This study examined how unimodal and bimodal learning conditions impact L2 vocabulary processing and learning, comparing reading only (RO) and reading while listening (RWL) groups. 119 high intermediate-advanced English learners read or read-while-listening a short story embedded with 25 target pseudowords, repeated 10 times each, and had their…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Eye Movements
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Hao Zhou; Jian Liu; Yueyang Shao; Tian Yanyan – Educational Studies, 2025
In this study, we applied multilevel piecewise linear regression with a random-effects model under a Bayesian estimation framework to a total of 5,072 7th grade students in 35 schools to search for an optimum time in terms of the effect of homework time on student academic achievement. First, we found a nonlinear relationship between time spent on…
Descriptors: Foreign Countries, Grade 7, Homework, Time on Task
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Xiaona Shen; Yiming Gao; Muhammad Suliman; Xudong He; Meiling Qi – Asia-Pacific Education Researcher, 2025
The extended duration of screen time associated with online courses may adversely impact the health and wellbeing of college students. This research aimed to investigate the indirect relationship between the duration of online coursework and the wellbeing of college students, considering insomnia and psychological distress as mediating variables,…
Descriptors: Distance Education, Electronic Learning, Well Being, Sleep
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Taylor, Ai-dung; Hung, Woei – Educational Technology Research and Development, 2022
Microlearning has gained popularity in both the training industry and professional studies disciplines over the last several years. While substantial information exists in industry articles and commentaries on the definition of microlearning--along with how to create, develop, and implement it--a closer look at the existing research is important.…
Descriptors: Instructional Effectiveness, Time on Task, Teaching Methods, Literature Reviews
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Mason, Lucia; Ronconi, Angelica; Scrimin, Sara; Pazzaglia, Francesca – Educational Psychology Review, 2022
There is growing interest recently in the outdoor environment surrounding schools where students spent time during breaks, in-school activities, and after-school programs. Several reviews have examined the impact of long-term exposures to nearby nature on students' academic achievement, but none has focused on the effects of short-term contacts…
Descriptors: Outdoor Education, Cognitive Processes, Time on Task, Literature Reviews
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Stephani L. Wrabel; Jennie W. Wenger; Linda Cottrell – RAND Corporation, 2025
The National Guard Youth ChalleNGe program is a residential, quasi-military program that serves young people ages 16 to 18 who are struggling to complete their high school credential. This is the ninth report in an annual series that RAND researchers have issued. The prior annual reports cover 2015 through 2022. Each annual report documents the…
Descriptors: High School Students, Residential Programs, Military Training, Youth Programs
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Kimberly Wolbers; Hannah Dostal; Leala Holcomb; Kelsey Spurgin – Grantee Submission, 2024
In the current study, we used a sequential explanatory design to examine secondary writing instruction for deaf students in various school settings. An examination of secondary writing instruction was carried out in two cycles using a survey and subsequent focus group discussions. The first cycle (n = 222) presented an overview of secondary…
Descriptors: Secondary School Students, Deafness, Students with Disabilities, College Bound Students
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Kimberly Wolbers; Hannah Dostal; Leala Holcomb; Kelsey Spurgin – Journal of Deaf Studies and Deaf Education, 2024
In the current study, we used a sequential explanatory design to examine secondary writing instruction for deaf students in various school settings. An examination of secondary writing instruction was carried out in two cycles using a survey and subsequent focus group discussions. The first cycle (n = 222) presented an overview of secondary…
Descriptors: Secondary School Students, Deafness, Students with Disabilities, College Bound Students
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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
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Mavilidi, Myrto F.; Mason, Connor; Leahy, Angus A.; Kennedy, Sarah G.; Eather, Narelle; Hillman, Charles H.; Morgan, Philip J.; Lonsdale, Chris; Wade, Levi; Riley, Nicholas; Heemskerk, Christina; Lubans, David R. – Educational Psychology Review, 2021
Despite well-established benefits, the majority of young people around the globe are not sufficiently active. In many countries, including Australia, physical activity (i.e. physical education and school sport) is not mandatory in the final two years of high school (i.e. senior school years). The aim of this study was to assess the impact of a…
Descriptors: Physical Activity Level, Physical Education, Athletics, Intervention
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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)
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Solomon, Benjamin G.; Poncy, Brian C. – School Psychology, 2019
The empirical literature on academic intervention has increasingly promoted comparative research, moving the field forward in addressing the question, "What works best?" Poncy et al. (2015), Skinner (2008, 2010), and Skinner, Fletcher, and Henington (1996) have suggested that researchers enhance traditional evaluations of learning…
Descriptors: Instruction, Time Factors (Learning), Time on Task, Efficiency
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