Abstract
Nowadays information processing is human internal process which essential in information transferring. This procedure first begins in sensory memory, then short-term memory and encoded into long-term memory. The study aimed to synthesize the theoretical and designing frameworks of the constructivist web-based learning environment model to enhance learner’s information process and reduce cognitive load. Model Research Type I Model Development [1] was employed by Document Analysis. Data collection processes were conducted by 1) reviewing and analyzing related theories as well as research 2) examining instructional context and 3) synthesizing theoretical and designing frameworks. The results showed that frameworks comprised 5 basis and 4 components. Those 5 bases were as 1) Psychological 2) Pedagogical 3) Information processing and cognitive load l 4) Media theory and technological and 5) Instructional context bases while 4 model components were to 1) activate structure of cognition 2) boost the equilibrium of cognition 3) strengthen the construction of knowledge and 4) supporting and fostering knowledge construction which all by promoting information processing and decreasing level of cognitive load. In addition, 7 model elements were explored as (1) Problem Base (2) Vocabulary Plaza (3) Brainstorming Center (4) Center of Information Processing Enhancing and Cognitive Load Reducing (5) Friendly Cognitive Tool (6) Center of Scaffolding and (7) Coaching Desk. Hence, the designed constructivist learning environment model can help learners to enhance learner’s information process and reduce cognitive load.
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Acknowledgements
This research was supported by Ph.D. Program in Educational Technology, Faculty of Education, Research Group for Innovation and Cognitive Technology, Khon Kaen, University, and Research and Technology Transfer Affairs Division, Khon Kaen University.
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Chaijaroen, N., Jackpeng, S., Chaijaroen, S. (2020). The Development of Constructivist Web-Based Learning Environments to Enhance Learner’s Information Processing and Reduce Cognitive Load. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_52
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