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Min Hui Leow – Journal of Educators Online, 2024
This study investigated the influence of teacher expectations of high- and low-expectancy leaners' learner control performance in the flipped learning online session. Interviews and observations were conducted with 14 elementary learners (age 9) and four teachers from a Malaysian elementary school. Thematic analysis was used to interpret codes,…
Descriptors: Expectation, Self Control, Flipped Classroom, Performance
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Isaac Wiafe; Akon Obu Ekpezu; Gifty Oforiwaa Gyamera; Fiifi Baffoe Payin Winful; Elikem Doe Atsakpo; Charles Nutropkor; Stephen Gulliver – Education and Information Technologies, 2025
The COVID-19 pandemic has propelled the use of technology in education through platforms such as YouTube and immersive technologies (e.g., virtual reality (VR) and augmented reality (AR)). Despite their potential to improve equity, access, engagement, and cognitive achievement, studies comparing their impacts on learning outcomes are scarce. This…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Simulated Environment
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style
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Akhavan, Peyman; Arefi, Majid Feyz – Interdisciplinary Journal of E-Learning and Learning Objects, 2014
The purpose of this study is to obtain suitable quality criteria for evaluation of electronic content for virtual courses. We attempt to find the aspects which are important in developing e-content for virtual courses and to determine the criteria we need to judge for the quality and efficiency of learning objects and e-content. So we can classify…
Descriptors: Electronic Learning, Classification, Educational Technology, Course Content
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Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
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Bush, H. Francis; Squire, James; Sullivan, Gerald; Walsh, Vonda; English, Anthony; Bolen, Rosie – Contemporary Issues in Education Research, 2008
E-learning has become a mainstream educational opportunity, as noted in "U.S. News & World Report." Further, differences among college students have been documented in various disciplines. An experiment was conducted to determine the effects of network latency on pedagogical efficacy based on the students who were classified as in…
Descriptors: Comparative Analysis, Efficiency, Humanities, Networks