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Zhang, Jingjing; Gao, Ming; Holmes, Wayne; Mavrikis, Manolis and Ma, Ning
(2021).
DOI: https://doi.org/10.1080/10494820.2019.1620290
Abstract
Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners’ interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment for mathematics, to facilitate children’s conceptual understanding of fractions in three Chinese schools. Students (n = 189) from six different classes were invited to use Fractions Lab, and 260,000 event logs were collected. Beyond demonstrating the overall efficacy of the approach, lag sequential analysis supported us in approaching a deeper understanding of patterns of interaction. The findings highlight that the design of three-levels of feedback (Socratic, guidance, and didactic-procedural feedback) played different roles in supporting students to use external representations to perform mathematical tasks in an exploratory learning environment. This study sheds light on how these interaction patterns might be applied to the Fractions Lab system in order to provide increasingly tailored support, based on cultural differences, to enhance students’ technology-mediated learning experiences.
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About
- Item ORO ID
- 61367
- Item Type
- Journal Item
- ISSN
- 1744-5191
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set AICFE-IO-013 Data-informed Learning Design for Future Schools of Beijing Advanced Innovation Center for Future Education (AICFE), Beijing Normal University, China Not Set BNU-2019 Comprehensive Discipline Construction Fund of Faculty of Education, Beijing Normal University - Keywords
- ITS; feedback; external representation; exploratory learning; maths education
- Academic Unit or School
- Institute of Educational Technology (IET)
- Copyright Holders
- © 2019 Informa UK Limited, trading as Taylor & Francis Group
- Depositing User
- Wayne Holmes