Error detection through mouse movement in an online adaptive learning environment.
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision‐making, is computer mouse tracking, where mouse attraction towards different locations may reflect the...
| Published in: | Journal of Computer Assisted Learning Vol. 37; no. 1; pp. 242 - 253 |
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| Main Authors: | , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Feb2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148185162&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148185162 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Feb2021 vid: 37 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 148185162 145897976 148185162 148185162 10.1111/jcal.12483 148185162 ppf: 242 ppct: 11 formats: tig: atl: Error detection through mouse movement in an online adaptive learning environment. aug: au: Mooij, Susanne M. M. Raijmakers, Maartje E. J. Dumontheil, Iroise Kirkham, Natasha Z. Maas, Han L. J. affil: Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK sug: subj: Learning Environment Online Education Learning Methods User-Computer Interface Mouse (Computer) Video Games Mathematics Human Feedback Child, Preschool Child Adolescence Male Female Descriptive Statistics Pearson's Correlation Coefficient Fisher's Exact Test Funding Source Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Male Female ab: While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision‐making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options. Using a speedy arithmetic multiple‐choice game in an online adaptive learning environment, we examined whether mouse movements could reflect arithmetic difficulties when error rates are low. Results showed that mouse movements towards alternative responses in correctly answered questions mapped onto the frequency of errors made in this online learning system. This mapping was stronger for the younger children, as well as for easy arithmetic problems. On an individual level, users showed more mouse movement towards their previously made response errors than towards other alternative options. This opens the possibility of adapting feedback and instruction on an individual basis through mouse tracking. Lay Description: What is currently known about this topic: In online learning environments, detecting systematic difficulties for students during learning is challenging due to the required high success rate.Previous studies have found that computer mouse tracking offers a window into the cognitive process of considering multiple alternatives before deciding.What is lacking is a validation outside the lab, whether mouse tracking can be a source for detecting systematic difficulties students might have. What the paper adds to this: Mouse tracking was implemented outside the lab in a large‐scale online learning environment for primary school children practicing maths.Novel mouse metrics were developed to measure attraction towards multiple distractors instead of one.Findings show that mouse movements reveal cues to arithmetic difficulties without the need for errors. Implications of the study findings: Mouse tracking is a useful tool to investigate difficulties in the learning process in a motivating practice system.Diagnosing these arithmetic misconceptions for individuals can help to adapt feedback and instruction.The developed mouse method can be used for more daily‐life complex designs with multiple attractors. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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