@inproceedings{f95b436bf97a4b1d9a5d1bc278d1b1cf,
title = "Designing Simulation Module to Diagnose Misconceptions in Learning Natural Selection",
abstract = "This online experiment, involving 28 high school students, investigates frequencies and types of misconceptions while learning natural selection via two types of simulation modules. The experimental group uses an agent-based model which characterizes Pattern, Agents, Interactions, Relations, and Causality (PAIR-C) features while the control group employs a commonly used PhET simulation. Although the pre-posttest does not capture significant differences between the two conditions, a set of non-leading prompt questions embedded in both simulation modules successfully captured the differences. Students from the experimental condition revealed fewer frequencies and categories of misconceptions and scored significantly higher in explaining one type of common misconceptions as well as responding to objective prompts than the control condition. Our finding indicates that the PAIR-C simulation module might have a better effect in reducing misconceptions. This study manifests strong potential in using a well-structured online simulation module to diagnose and address students{\textquoteright} misconceptions in learning natural selection.",
author = "Man Su and Cho, {J. Yohan} and Chi, {Michelene T.H.} and Nicole Boucher and Brandon Vanbibber",
note = "Publisher Copyright: {\textcopyright} ISLS.; 15th International Conference of the Learning Sciences, ICLS 2021 ; Conference date: 08-06-2021 Through 11-06-2021",
year = "2021",
language = "English (US)",
series = "Proceedings of International Conference of the Learning Sciences, ICLS",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "410--417",
editor = "{de Vries}, Erica and Yotam Hod and June Ahn",
booktitle = "ISLS Annual Meeting 2021 Reflecting the Past and Embracing the Future - 15th International Conference of the Learning Sciences, ICLS 2021",
}