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Showing 1 to 15 of 20 results Save | Export
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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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Jones, Elizabeth V.; Evans, Michael; Shepler, Carrie – Journal of College Science Teaching, 2023
In response to remote learning needs during the COVID-19 pandemic, introductory lecture and laboratory courses typically delivered fully in person were offered in a completely virtual format for the first time. Introductory laboratory courses are pivotal foundations for future discipline-specific learning and serve as prerequisites for a myriad of…
Descriptors: Prerequisites, Electronic Learning, Science Experiments, COVID-19
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Bai, Caixia; Yang, Jingying; Tang, Yun – Instructional Science: An International Journal of the Learning Sciences, 2022
Instructional videos have been widely used in online learning environments. Effective video learning requires self-regulation by learners, which can be facilitated by deliberate instructional design, such as through prompting. Grounded in the interactive, constructive, active, and passive (ICAP) framework, this study compared the effects of…
Descriptors: Prompting, Video Technology, Instructional Films, Educational Technology
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Ting Jii Toh; Zaidatun Tasir – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to analyze the cognitive load experienced by secondary school students in Biology within m-learning environments and its impact on learning performance. Background: Cognitive load has become a critical issue that schools need to address to ensure students can excel in their learning without being overwhelmed. While…
Descriptors: Handheld Devices, Electronic Learning, Educational Technology, Cognitive Processes
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
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Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
Jill Cathleen Woods – ProQuest LLC, 2022
Computer-supported collaborative learning (CSCL) presents postsecondary educators with a conundrum: how to design and support small-group activities without stifling deep and meaningful learning. The literature indicates that students are not consistently practicing higher-order cognitive activities, educators are not reliably designing or…
Descriptors: Computer Mediated Communication, Cooperative Learning, Group Activities, Prior Learning
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Choi, Soonri; Kim, Namjung; Choi, Seohyun; Kim, Dongsik – Problems of Education in the 21st Century, 2019
This research suggests emphasis manipulation on constituent skills of least-abled sets, improves coordination and integration of knowledge, skills, and attitudes on cognitive load, transfer, and instructional efficiency. The participants were divided into two groups. Competency levels for the designated skill sets were evaluated, and a pre-test…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Efficiency
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Mwambe, Othmar Othmar; Tan, Phan Xuan; Kamioka, Eiji – Education Sciences, 2020
Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS' page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide the systems…
Descriptors: Biology, Information Science, Technology Uses in Education, Hypermedia
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Novak, Elena; Daday, Jerry; McDaniel, Kerrie – Educational Technology Research and Development, 2018
This empirical study used Keller's (Technol Instr Cogn Learn 16:79-104, 2008b) motivation, volition, and performance (MVP) theory to develop and statistically evaluate a mathematical MVP model that can serve as a research and policy tool for evaluating students' learning experiences in digital environments. Specifically, it explored undergraduate…
Descriptors: Mathematical Models, Learning Motivation, Electronic Learning, Learning Experience
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van Seters, Janneke R.; Wellink, Joan; Tramper, Johannes; Goedhart, Martin J.; Ossevoort, Miriam A. – Biochemistry and Molecular Biology Education, 2012
When students have varying prior knowledge, personalized instruction is desirable. One way to personalize instruction is by using adaptive e-learning to offer training of varying complexity. In this study, we developed a web-based adaptive tutor to teach PCR primer design: the PCR Tutor. We used part of the Taxonomy of Educational Objectives (the…
Descriptors: Electronic Learning, Educational Objectives, Prior Learning, Tutors
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Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8
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Stiller, Klaus D.; Jedlicka, Rosemarie – Australasian Journal of Educational Technology, 2010
In instructional multimedia design, it is often recommended that text accompanying pictures be presented in a personalised style to promote learning. The superiority of personalised over formal text is may be explained using social agency theory (Mayer, 2005b), but it has not been investigated empirically whether such effects are valid in…
Descriptors: Computer Assisted Instruction, Prior Learning, Grade 10, Instructional Design
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Johnson-Glenberg, Mina C. – Educational Media International, 2010
This research examined the impact of formative quizzes on e-learning designed to teach volunteers how to tutor struggling readers. Three research questions were addressed: (1) Do embedded quizzes facilitate learning of e-content? (2) Does the announcement of upcoming quizzes affect learning? (3) Does prior knowledge interact with quizzing and…
Descriptors: Electronic Learning, Prior Learning, Testing, Adult Learning
Chen, Chun-Ying; Pedersen, Susan; Murphy, Karen L. – Research in Learning Technology, 2011
Many studies report information overload as one of the main problems that students encounter in online learning via computer-mediated communication. This study aimed to explore the sources of online students' information overload and offer suggestions for increasing students' cognitive resources for learning. Participants were 12 graduate students…
Descriptors: Electronic Learning, Graduate Students, Computer Mediated Communication, Discussion
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