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http://hdl.handle.net/10497/23572
Title: | Authors: | Keywords: | Student-generated ideas Socio-constructivism Technology-enhanced learning Seamless learning Knowledge building Guided student questioning Student-generated questions Ubiquitous learning log Productive failure-based flipped classrooms |
Issue Date: | 2021 |
Citation: | Wong, L.-H., Teo, C. L., Ogata, H., Song, Y., Wu, L., & Yu, F.-Y. (2021). Leveraging Student-Generated Ideas (SGI) to facilitate socio-constructivist learning and conceptual change: The roles of technology in SGI learning trajectories. In M. Mercedes, T. Rodrigo, S. Iyer, & A. Mitrovic. (Eds.), Proceedings of the 29th International Conference on Computers in Education (Volume II, pp. 777-782). Asia-Pacific Society for Computers in Education (APSCE). https://icce2021.apsce.net/wp-content/uploads/2021/12/ICCE2021-Vol.II-PP.-777-782.pdf |
Abstract: | This panel aims to facilitate an exchange between scholars specialized in various technology-enhanced socio-constructivist learning approaches with the common ground of placing Student-Generated Ideas (SGI) in the center of the learning trajectory. Despite varying theoretical underpinning and socio-cognitive mechanisms, these learning approaches similarly elicit ideas contributed by individual or groups of students in diverse forms and put them into the learners’ classroom or online community space to advance their learning. Examples of such approaches are not restricted to those which will be explicated by the panelists, namely, seamless learning, knowledge building, guided student questioning, student-generated questions, ubiquitous learning log, and productive failure-based flipped classrooms, but may also encompass problem-based learning, project- based learning, computational thinking, STEM, design thinking, makers, etc. The roles of technology in facilitating and enhancing such learning trajectories will be discussed. |
URI: | ISBN: | 9789869721486 |
File Permission: | Open |
File Availability: | With file |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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ICCE-2021-777.pdf | 962.16 kB | Adobe PDF | View/Open |
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