A study of learning time patterns in asynchronous learning environments.
This research makes use of learning time intensity, burst evaluating equations, and state denotation approaches to evaluate the learning time characteristics of students. Through comparing learning time intensity, six burst styles and three diligence styles are categorized. From the statistical resu...
| Published in: | Journal of Computer Assisted Learning Vol. 20; no. 4; pp. 292 - 305 |
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| Main Authors: | , |
| Format: | equations & formulas research tables/charts Journal Article |
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Wiley-Blackwell
Aug2004
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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=106682518&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106682518 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2004 vid: 20 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 106682518 106682518 2004152885 10.1111/j.1365-2729.2004.00088.x 106682518 ppf: 292 ppct: 13 formats: tig: atl: A study of learning time patterns in asynchronous learning environments. aug: au: Hwang W Wang C affil: Dept of Computer Science and Information Engineering, Graduate School of Network Learning Technology, National Central University, Jung-li, Taoyuan 300, Taiwan, ROC; wyhwang@cc.ncu.edu.tw sug: subj: Learning Environment Learning Styles Evaluation Content Analysis Descriptive Statistics T-Tests Human ab: This research makes use of learning time intensity, burst evaluating equations, and state denotation approaches to evaluate the learning time characteristics of students. Through comparing learning time intensity, six burst styles and three diligence styles are categorized. From the statistical results and interaction content analysis, some pedagogical phenomena were found. The first finding is that the more diligent learners were, the higher the quality and quantity of their interaction. The second is that learners whose learning time intensity was mainly located in the early period of the course and whose interaction content included many complaints were suspected to be possible dropouts. The third finding is that learners whose learning time intensity was mainly located in the later period had achievements that were significantly different from those of the regular periodical reading learners whose learning time intensity was distributed in all periods of the course. The above findings raise some issues and suggestions for those concerned with proposing asynchronous courses. As students can pace their own learning in an asynchronous learning environment, it is hard to avoid getting used to intermittent intensive reading. Instructors should consider seriously how to guide students to learn in a proper sequence through a well-scheduled instructional programme. It is necessary to encourage students to exercise self-discipline in regular on-line reading for better learning outcomes. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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