The impact of multiple real-time scaffolding experiences on science inquiry practices

Haiying Li, Janice Gobert, Rachel Dickler, Raha Moussavi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Computer-assisted assessment environments, such as intelligent tutoring systems, simulations, and virtual environments are now being designed to measure students’ science inquiry practices. Some assessment environments not only evaluate students’ inquiry practice competencies, but also provide real-time scaffolding in order to help students learn. The present study aims to examine the impact of real-time scaffolding from an animated, pedagogical agent on students’ inquiry performance across a number of practices. Participants were randomly assigned to one of two conditions: receiving scaffolding or no scaffolding. All participants completed three virtual labs: Flower (a general pretest), Phase Change, and Density. Results showed that students who received immediate feedback during assessment performed better on subsequent inquiry tasks. These findings have implications for designers and researchers regarding the benefits of including real-time scaffolding within intelligent assessment systems.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
PublisherSpringer Verlag
Pages99-109
Number of pages11
ISBN (Print)9783319914633
DOIs
StatePublished - 2018
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: Jun 11 2018Jun 15 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Intelligent Tutoring Systems, ITS 2018
Country/TerritoryCanada
CityMontreal
Period6/11/186/15/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Educational data mining
  • Real-Time scaffolding
  • Science inquiry

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