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Does it make a difference if students exercise on the web or in the classroom?

Published: 24 June 2002 Publication History

Abstract

Several Web-based learning environments which can automatically give immediate feedback to the students have been reported within the past few years. The quality of feedback can be relatively high in these systems, but it does not achieve the level a trained teacher can provide. However, the lack of the best possible feedback can be compensated for, to some extent, by providing immediate and individualised feedback at any place or time. The question is whether the systems providing automatic feedback are good enough to compete with humans.This paper reports on a randomised large scale intervention study. We found that there was no significant difference in the final examination results between students doing instructed simulation exercises in a classroom session and students using a web-based learning environment, if the exercises were the same. However, with more challenging exercises, there was a significant difference in the examination results, while the drop out rate was higher. Thus, the chosen teaching method and medium did not effect the level of learning, but the quality of the exercises did.

References

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  • (2021)QRing Specialties’ Mobile Course Elements to Support VET Learners’ Cognitive LevelEducating Engineers for Future Industrial Revolutions10.1007/978-3-030-68198-2_25(272-283)Online publication date: 12-Mar-2021
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Published In

cover image ACM SIGCSE Bulletin
ACM SIGCSE Bulletin  Volume 34, Issue 3
September 2002
269 pages
ISSN:0097-8418
DOI:10.1145/637610
Issue’s Table of Contents
  • cover image ACM Conferences
    ITiCSE '02: Proceedings of the 7th annual conference on Innovation and technology in computer science education
    June 2002
    262 pages
    ISBN:1581134991
    DOI:10.1145/544414
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2002
Published in SIGCSE Volume 34, Issue 3

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  1. automatic assessment
  2. randomised intervention study

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Cited By

View all
  • (2018)The development of a web-based assessment system to identify students’ misconception automatically on linear kinematics with a four-tier instrument testPhysics Education10.1088/1361-6552/aac69553:4(045022)Online publication date: 11-Jun-2018
  • (2007)On the use of resubmissions in automatic assessment systemsComputer Science Education10.1080/0899340060091242616:3(229-240)Online publication date: 16-Feb-2007
  • (2021)QRing Specialties’ Mobile Course Elements to Support VET Learners’ Cognitive LevelEducating Engineers for Future Industrial Revolutions10.1007/978-3-030-68198-2_25(272-283)Online publication date: 12-Mar-2021
  • (2020)Incorporating Active Learning Strategies and Instructor Presence into an Online Discrete Mathematics ClassProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366904(1186-1192)Online publication date: 26-Feb-2020
  • (2017)Introducing “Kodu” to Implement Cross Curricular Based Scenarios in English for K-12 LearnersTeaching and Learning in a Digital World10.1007/978-3-319-73210-7_67(572-581)Online publication date: 27-Dec-2017
  • (2017)“Classrooms Without Borders” – Instructive Scenarios Based on Mobile Learning to Support Differentiated Learning in Vocational School SettingsInteractive Collaborative Learning10.1007/978-3-319-50340-0_35(398-414)Online publication date: 1-Jan-2017
  • (2016)Online CS1Proceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844578(323-328)Online publication date: 17-Feb-2016
  • (2013)Empirical Study on the Effect of Achievement Badges in TRAKLA2 Online Learning EnvironmentProceedings of the 2013 Learning and Teaching in Computing and Engineering10.1109/LaTiCE.2013.34(47-54)Online publication date: 21-Mar-2013
  • (2005)On the effectiveness of visualizations in a theory of computing courseProceedings of the 2005 joint Chinese-German conference on Cognitive systems10.5555/1762624.1762627(15-24)Online publication date: 7-Mar-2005
  • (2005)Automatic test-based assessment of programmingJournal on Educational Resources in Computing10.1145/1163405.11634095:3(4-es)Online publication date: 1-Sep-2005
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