The application of Simulation-Assisted Learning Statistics (SALS) for correcting misconceptions and improving understanding of correlation.
Simulation-based computer assisted learning (CAL) is recommended to help students understand important statistical concepts, although the current systems are still far from ideal. Simulation-Assisted Learning Statistics (SALS) is a simulation-based CAL that is developed with a learning model that is...
| Publicado en: | Journal of Computer Assisted Learning Vol. 26; no. 2; pp. 143 - 159 |
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| Autores principales: | , , |
| Formato: | clinical trial pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105173186&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105173186 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2010 vid: 26 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105173186 2010587918 10.1111/j.1365-2729.2009.00330.x 105173186 ppf: 143 ppct: 16 formats: tig: atl: The application of Simulation-Assisted Learning Statistics (SALS) for correcting misconceptions and improving understanding of correlation. aug: au: Liu T Lin Y Kinshuk affil: Graduate Institute of Learning & Instruction, National Central University, Taiwan sug: subj: Computer-Assisted Instruction Simulations Statistics Education Analysis of Covariance Child Clinical Trials Descriptive Statistics Female Funding Source Human Lecture Male Mann-Whitney U Test McNemar's Test Pretest-Posttest Design Questionnaires Random Assignment Semi-Structured Interview Summated Rating Scaling Teaching Methods Unpaired T-Tests Child: 6-12 years Female Male ab: Simulation-based computer assisted learning (CAL) is recommended to help students understand important statistical concepts, although the current systems are still far from ideal. Simulation-Assisted Learning Statistics (SALS) is a simulation-based CAL that is developed with a learning model that is based on cognitive conflict theory to correct misconceptions and enhance understanding of correlation. In this study, a mixed method (embedded experiment model) was utilized to examine the effects of SALS-based learning compared with lecture-based learning. The sample was composed of 72 grade-12 students, who were randomly assigned to either the experimental group or the comparison group. The findings reveal that the SALS-based learning approach is significantly more effective than lecture-based learning, in terms of correcting students' misconceptions and improving their understanding of correlation. The study also uses quantitative and qualitative data to examine how the learning model of the SALS-based learning approach contributes to the enhanced learning outcomes. Finally, practical suggestions were made with regard to directions for future studies. pubtype: Academic Journal doctype: clinical trial pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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