The effect of different question types on vicarious learning

Ziyi Kuang, Xiaxia Jiang, Keith T. Shubeck, Xiaoxue Leng, Yahong Li, Rui Zhang, Zhen Wang, Shun Peng, Xiangen Hu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This study explored the role of question types and prior knowledge in vicarious learning with an intelligent tutoring system. In experiment 1, the participants were assigned to three conditions (deep questions, shallow questions, control), the results showed that participants in the deep questions condition had higher retention test scores than those in the shallow questions condition and those in the control condition. In experiment 2, we conducted a 2 (prior knowledge: high, low) × 3 (question types: deep question, shallow question, control) between-subjects experimental design, and participants in the deep question condition again had higher retention test scores than the other conditions. Also, participants in the shallow question condition had higher retention test scores than those in the control condition. Additionally, no interaction between prior knowledge and question types was observed. In conclusion, deep questions can promote learning of experimental design, which replicates prior research results on deep level questions.

Original languageEnglish
Pages (from-to)208-226
Number of pages19
JournalEducational Psychology
Volume44
Issue number2
DOIs
Publication statusPublished - 18 Mar 2024

Keywords

  • AutoTutor
  • cognitive load
  • deep question
  • shallow question
  • Vicarious learning

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Education
  • Developmental and Educational Psychology

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