Students' self‐report and observed learning orientations in blended university course design: How are they related to each other and to academic performance?
This study examines the extent to which the learning orientations identified by student self‐reports and the observation of their online learning events were related to each other and to their academic performance. The participants were 322 first‐year engineering undergraduates, who were enrolled in...
| Publicado en: | Journal of Computer Assisted Learning Vol. 36; no. 6; pp. 969 - 981 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2020
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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=147049860&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 147049860 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2020 vid: 36 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 147049860 147049860 147049860 10.1111/jcal.12453 147049860 ppf: 969 ppct: 12 formats: tig: atl: Students' self‐report and observed learning orientations in blended university course design: How are they related to each other and to academic performance? aug: au: Han, Feifei Pardo, Abelardo Ellis, Robert A. affil: Office of Pro‐Vice‐Chancellor (Arts, Education and Law), Griffith University, Brisbane Queensland,, Australia sug: subj: Student Attitudes Self Report Learning Course Evaluation Academic Performance Human Funding Source Cluster Analysis One-Way Analysis of Variance Students, College Adolescence Adult Australia Learning Environment Adolescent: 13-18 years Adult: 19-44 years ab: This study examines the extent to which the learning orientations identified by student self‐reports and the observation of their online learning events were related to each other and to their academic performance. The participants were 322 first‐year engineering undergraduates, who were enrolled in a blended course. Using students' self‐report on a questionnaire about their approaches to learning and perceptions of the blended learning environment, 'understanding' and 'reproducing' learning orientations were identified. Using observations of student activity online, a Hidden Markov Model (HMM) and agglomerative sequence clustering detected four qualitatively different patterns of online learning orientations. Cross‐tabulations showed significant and logical associations amongst the learning orientations derived by the self‐report and observational methods. Significant differences were also consistently found in the students' academic performance across the mid‐term and final assessments based on their learning orientations detected by both self‐report and observational methods, results which have important implications for learning research. Lay Description: What is currently known about the subject matter: Learning analytics research uses observational data to investigate learning.Students Approaches to Learning research uses self‐report data to examine learning experiences.Little research combines observational and self‐report data to investigate variations in learning outcomes. What this paper adds: This study uses both observational and self‐report data to investigate learning orientations.The learning orientations predicted mid‐ and final‐ assessment marks.Significant associations were found between learning orientations identified by observational and self‐report data. Implications for practitioners: Combining data sources enables teachers to better understand students' learning orientations.Interventions can be designed based on an understanding of different learning orientations to improve learning.The approach used in this study is transferrable to other similar research. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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