@inproceedings{8dac265165934729a85b9ff4c1d2052b,
title = "Discovery of Similarities across Debugging Tasks in Relations within and between Virtual and Physical Objects",
abstract = "Analogical reasoning is critical in debugging. Still, the literature is unclear on how non-CS major novice programming learners draw inferences from previous debugging tasks when attempting to understand the present debugging task. We addressed the research question How do novice programming learners discover relational commonalities across debugging tasks in which block-code contains structural relations within itself and with a corresponding robot? We used a theory-informed coding scheme to analyze interviews and screencasting data. We found that (a) noticing similarities in function between the target task and the source task(s) guided learners to discover relational commonalities within block code between the source task(s) and the target task, (b) functional analogy was not necessary for discovery of every relational commonality between the target task and the source task in block code, and (c) noticing and using relational commonalities did not always lead to successful debugging.",
author = "ChanMin Kim and Emre Din{\c c} and Eunseo Lee and Afaf Baabdullah and Zhang, {Anna Y.} and Belland, {Brian R.}",
note = "Publisher Copyright: {\textcopyright} ISLS.; 16th International Conference of the Learning Sciences, ICLS 2022 ; Conference date: 06-06-2022 Through 10-06-2022",
year = "2022",
language = "English (US)",
series = "Proceedings of International Conference of the Learning Sciences, ICLS",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "1185--1188",
editor = "Clark Chinn and Edna Tan and Carol Chan and Yael Kali",
booktitle = "International Collaboration toward Educational Innovation for All",
}