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Sathiyaseelan Balasundaram; Jain Mathew; Sridevi Nair – Journal of Learning for Development, 2024
This study aimed at evaluating the effectiveness of microlearning in higher education. The sample consisted of first-year MBA students, and a post-test control group design was used to assess the effectiveness of a microlearning module. The results indicated that the use of microlearning was significantly related to learning performance and…
Descriptors: Learning Activities, Electronic Learning, Learning Modules, Graduate Students
Moire K. M. Prescott; Laura Madson; Sandra M. Way; Kelly N. Sanderson – Physical Review Physics Education Research, 2024
While many previous studies have indicated that encouraging a growth mindset can improve student learning outcomes, this conclusion's applicability to college-level astronomy classrooms remains poorly understood owing to the variation in students' overall and domain-specific learning attitudes. To address this, we surveyed undergraduate students…
Descriptors: Undergraduate Students, Astronomy, Introductory Courses, Student Attitudes
Du, Xu; Dai, Miao; Tang, Hengtao; Hung, Jui-Long; Li, Hao; Zheng, Jinqiu – Journal of Computing in Higher Education, 2023
Distance education programs have become the preferred option for most higher education institutions to continue teaching during the COVID-19 pandemic, but the effectiveness of some online courses, especially those engineering courses with experimentation activities, remains disputed. The main challenge is fostering collaborative problem solving…
Descriptors: College Students, Cooperation, Participative Decision Making, Problem Solving
Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
Omer Kocak – International Journal of Technology in Education, 2024
Student response systems (SRSs) increase the engagement of students by supporting them to participate in the course and thus contribute to their academic achievement. However, in most of the experimental studies in which the effects of SRSs were investigated, details on how to integrate SRSs into the course were not provided. This study aimed to…
Descriptors: Academic Achievement, Cognitive Processes, Difficulty Level, Asynchronous Communication
Cheng, Xin; Ma, Xin-Yue; Luo, Chaohua; Chen, Jian; Wei, Wei; Yang, Xuesong – Advances in Physiology Education, 2021
Students' preferences and engagement with online educational resources and activities are crucial for academic success in the context of online medical education. This study investigated the preferences of Chinese medical students regarding the teaching strategies used by instructors and their relationship with course difficulty level, student's…
Descriptors: Correlation, Medical Students, Preferences, Electronic Learning
Wu, Chih-Hung; Tzeng, Yi-Lin; Huang, Yueh-Min – Educational Technology Research and Development, 2020
This study investigated and compared the effectiveness of both digital game-based learning (DGBL) and static e-learning material for Newton's laws of motion on students' learning attention, affective experiences, cognitive load and academic achievement. Physiological signals and affective techniques were adopted to measure students' learning…
Descriptors: Learning Processes, Game Based Learning, Computer Games, Electronic Learning
Xuyan Qiu – Computer Assisted Language Learning, 2024
Task complexity and communication modes are two task design and implementation factors that have been found to affect second language (L2) learners' oral performance. While increasing task complexity and developing tasks according to the features of face-to-face and computer-mediated communication modes can optimise L2 production, few studies…
Descriptors: Difficulty Level, Second Language Learning, Learner Engagement, Computer Mediated Communication
Afify, Mohammed Kamal – Turkish Online Journal of Distance Education, 2020
The importance of using the interactive video has been widely recognized in e-learning courses. However, there are several variables that can affect learners' engagement and their learning through watching digital interactive videos. the main purpose of this study is to examine whether long interactive videos can improve students' performance in…
Descriptors: Interactive Video, Electronic Learning, Distance Education, Instructional Effectiveness
Menekse, Muhsin – Journal of Experimental Education, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Menekse, Muhsin – Grantee Submission, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Dönmez, Onur; Akbulut, Yavuz; Telli, Esra; Kaptan, Miray; Özdemir, Ibrahim H.; Erdem, Mukaddes – Education and Information Technologies, 2022
In the current study, we aimed to develop a reliable and valid scale to address individual cognitive load types. Existing scale development studies involved limited number of items without adequate convergent, discriminant and criterion validity checks. Through a multistep correlational study, we proposed a three-factor scale with 13 items to…
Descriptors: Test Construction, Content Validity, Construct Validity, Test Reliability
Lai, Mark H. C. – Grantee Submission, 2021
In 2016, McREL and the University of Southern California (USC) were awarded a grant from the U.S. Department of Education's Investing in Innovation (i3) Fund (Award Number U411C150011) to develop a translation of the identity-based motivation (IBM) in vivo program "Pathways to Success" to a digital platform to deliver IBM to middle and…
Descriptors: Middle School Students, High School Students, Student Motivation, School Districts
Yu, Zhonggen – International Journal of Distance Education Technologies, 2019
Studies on gender differences in mobile English learning are in their initial stages. College English IV, designed by a number of professors and engineers in a university in China, serves as a mobile English learning platform. This study aims to determine gender differences in cognitive loads, attitudes, and academic achievements in English…
Descriptors: Foreign Countries, Gender Differences, Cognitive Processes, Difficulty Level