Cluster and Time-Series Analyses of Computer-Assisted Pronunciation Training Users: Looking Beyond Scoring Systems to Measure Learning and Engagement
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| Publikašuvnnas: | International Journal of Computer - Assisted Language Learning and Teaching vol. 4, no. 1 (2014), p. 1 |
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| Váldodahkki: | |
| Almmustuhtton: |
IGI Global
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| Fáttát: | |
| Liŋkkat: | Citation/Abstract Full Text - PDF |
| Fáddágilkorat: |
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| 003 | UK-CbPIL | ||
| 022 | |a 2155-7098 | ||
| 022 | |a 2155-7101 | ||
| 024 | 7 | |a 10.4018/ijcallt.2014010101 |2 doi | |
| 035 | |a 2931868069 | ||
| 045 | 2 | |b d20140101 |b d20141231 | |
| 084 | |a 203028 |2 nlm | ||
| 100 | 1 | |a John-Michael Nix |u National Taiwan Normal University, Taipei, Taiwan | |
| 245 | 1 | |a Cluster and Time-Series Analyses of Computer-Assisted Pronunciation Training Users: Looking Beyond Scoring Systems to Measure Learning and Engagement | |
| 260 | |b IGI Global |c 2014 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The present study utilized hierarchical agglomerative cluster (HAC) analysis to categorize users of a popular, web-based computer-assisted pronunciation training (CAPT) program into user types using activity log data. Results indicate an optimal grouping of four types: Reluctant, Point-focused, Optimal, and Engaged. Clustering was determined by aggregate data on seven indicator variables of mixed types (e.g., ratio, continuous, and categorical). It was found that measurements of effort: lines recorded and episodic effort served best to distinguish the user types. Subsequent time-series analysis of cluster members showed that groupings exhibited distinct trends in learning behavior which explain performance outcomes. Four waves of data were collected during one semester of EFL instruction wherein CAPT usage partially fulfilled course requirements. This study follows an exploratory, data-driven approach. In addition to the findings above, suggestions for future research into interactions between individual differences variables and CALL platforms are made. | |
| 653 | |a Individual differences | ||
| 653 | |a Learning | ||
| 653 | |a Pronunciation instruction | ||
| 653 | |a Clustering | ||
| 653 | |a Computer assisted language learning | ||
| 653 | |a Time series | ||
| 653 | |a English as a second language instruction | ||
| 653 | |a Training | ||
| 653 | |a Computer assisted instruction--CAI | ||
| 653 | |a Aggregate data | ||
| 653 | |a Teaching | ||
| 653 | |a Pronunciation | ||
| 653 | |a Variables | ||
| 653 | |a Scores | ||
| 653 | |a Multivariate Analysis | ||
| 653 | |a Copyrights | ||
| 653 | |a Independent Study | ||
| 653 | |a Questionnaires | ||
| 653 | |a Video Technology | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Attrition (Research Studies) | ||
| 653 | |a Language Teachers | ||
| 653 | |a Computers | ||
| 653 | |a Measurement Techniques | ||
| 653 | |a English (Second Language) | ||
| 653 | |a Electronic Equipment | ||
| 653 | |a Periodicals | ||
| 653 | |a Predictor Variables | ||
| 653 | |a Time | ||
| 653 | |a Research Design | ||
| 653 | |a Computer Assisted Instruction | ||
| 653 | |a Systems Analysis | ||
| 653 | |a Program Effectiveness | ||
| 653 | |a Instructional Effectiveness | ||
| 653 | |a Second Language Learning | ||
| 653 | |a English Learners | ||
| 653 | |a Quasiexperimental Design | ||
| 773 | 0 | |t International Journal of Computer - Assisted Language Learning and Teaching |g vol. 4, no. 1 (2014), p. 1 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2931868069/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2931868069/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |