Incorporating student choice in E-learning

Avi Segal, Naor Guetta, Amir Taboul, Guy Shani, Ya’akov Kobi Gal

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

Abstract

We investigate the possibility of increasing students’ performance and motivation in e-learning through choice: allowing students to choose educational material and questions while learning online. We ran a user study in which 5th grade students were repeatedly able to choose between a pair of math questions that were chosen from ascending skill levels based on performance. Our results show that students answered more difficult questions and obtained better grades when they were allowed to choose the questions than a baseline approach which did not allow choice. Also, we found a strong correlation between the skill levels that were obtained by the students in the choice based system and their class grades. Finally, most students preferred the choice system over a non-choice system.

Original languageAmerican English
Title of host publicationIntelligent Tutoring Systems - 13th International Conference, ITS 2016, Proceedings
EditorsAlessandro Micarelli, John Stamper, Kitty Panourgia
PublisherSpringer Verlag
Pages443-446
Number of pages4
ISBN (Print)9783319395821
StatePublished - 1 Jan 2016
Event13th International Conference on Intelligent Tutoring Systems, ITS 2016 - Zagreb, Croatia
Duration: 7 Jun 201610 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9684

Conference

Conference13th International Conference on Intelligent Tutoring Systems, ITS 2016
Country/TerritoryCroatia
CityZagreb
Period7/06/1610/06/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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