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Title: | A Conjecture Mapping Primer for Computer Scientists: Merging Learning Theories and Technical Research |
Authors: | Chang, Michael Alan Dickler, Rachel |
Keywords: | design-based research interdisciplinary collaboration conjecture maps artificial intelligence data privacy |
Issue Date: | Apr-2023 |
Publisher: | Digital Promise and the International Society of the Learning Sciences |
Abstract: | With the surge of recent proposals to apply emergent technologies to educational contexts, computer scientists and learning scientists must find ways to bridge the gap between technical designs and the complexity and nuance of real classroom environments. In this primer, we describe how conjecture maps, a tool commonly used by learning scientists, can support deep interdisciplinary collaborations between computer scientists and learning scientists. We provide an overview of the literature around the use of conjecture maps in the learning sciences and present an adapted conjecture map that highlights the contributions of computer scientists and the impact of their work on larger educational outcomes. |
URI: | https://repository.isls.org//handle/1/8003 |
Appears in Collections: | Primers |
Files in This Item:
File | Description | Size | Format | |
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ChangandDickler Apr2023.pdf | 407.92 kB | Adobe PDF | View/Open |
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