First-time computer scientist users' contributions fit naturally into the adapted conjecture map format¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q1
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Computer scientists who were first-time users of conjecture maps found the format familiar, with inputs/outputs feeling familiar from an engineering perspective, and the map served as a bridge connecting their ideas to learning scientists' claims. → Chang 2022

Evidence¶

Chang 2022¶

Chang, M.A., Magana, A., Benes, B., Kao, D., & Fusco, J. (2022). Driving interdisciplinary collaboration through adapted conjecture mapping: A case study with the PECAS Mediator [Project Report]. Digital Promise. https://doi.org/10.51388/20.500.12265/156

q1 · i? · qualitative · r2

Authors' reflection on the case-study dialogue: first-time users Dr. Benes and Dr. Kao contributed claims that fit the adapted map's fields, and the map "served as a bridge to connect their ideas." This is a qualitative observation from one session, not a tested comparison.

"As Dr. Benes and Dr. Kao stated when being introduced to conjecture maps, the format of inputs/outputs in the conjecture map felt familiar from an engineering perspective."

Discussion¶

Related Claims¶

• Interdisciplinary collaboration is fundamentally relational; tools assist but relationships make or break it — related
• Collaborative conjecture map construction surfaced a tension between nuanced learning theory and limited technical capability — related
• The adapted conjecture map's framing around unintended consequences proved generative for interdisciplinary discussion — related