Students' adaptation and transfer of strategies across levels of scaffolding in an exploratory environment

Ido Roll, Nikki Yee, Adriana Briseno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While the effect of scaffolding on learning has received much attention, less is known about its effect on students' strategy use, especially in transfer activities. This study focuses on students' adaptive behaviours as a function of given scaffolding and when transitioning from a scaffolded to an unstructured activity. We study this in the context of a complex physics simulation in which students choose between 124 different actions. We evaluate (i) how the scaffolding affects students' building and testing behaviours, (ii) whether these behaviours transfer to an unstructured activity, and (iii) the relationship between the adapted behaviours and learning. A repeated-measures MANOVA suggests that students adapt their learning behaviours according to the demands and affordances of the task and the environment, and that these strategies transfer from a scaffolded to an unstructured activity. No significant relationships were found between these patterns and learning.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
Pages348-353
Number of pages6
DOIs
StatePublished - 2014
Externally publishedYes
Event12th International Conference on Intelligent Tutoring Systems, ITS 2014 - Honolulu, HI, United States
Duration: 5 Jun 20149 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8474 LNCS

Conference

Conference12th International Conference on Intelligent Tutoring Systems, ITS 2014
Country/TerritoryUnited States
CityHonolulu, HI
Period5/06/149/06/14

Keywords

  • inquiry learning
  • interactive simulations
  • microworlds
  • scaffolding
  • self-regulated learning
  • transfer

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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