Assessing the validity of a learning analytics expectation instrument: A multinational study.
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a pur...
| Publicado en: | Journal of Computer Assisted Learning Vol. 36; no. 2; pp. 209 - 241 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2020
|
| 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=142100947&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142100947 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2020 vid: 36 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 142100947 142100947 145772348 142100947 10.1111/jcal.12401 142100947 ppf: 209 ppct: 32 formats: tig: atl: Assessing the validity of a learning analytics expectation instrument: A multinational study. aug: au: Whitelock‐Wainwright, Alexander Gašević, Dragan Tsai, Yi‐Shan Drachsler, Hendrik Scheffel, Maren Muñoz‐Merino, Pedro J. Tammets, Kairit Delgado Kloos, Carlos affil: Portfolio of the DVC & VP (Education), Monash University, Victoria, Australia sug: subj: Learning Data Analytics Students, College Student Attitudes Evaluation Instrument Validation Questionnaires Human Estonia Spain Netherlands Male Female Adolescence Adult Middle Age Aged Aged, 80 and Over Validation Studies Translations Students, Undergraduate Ethical Issues Students, Graduate Ethical Issues Descriptive Statistics Summated Rating Scaling Factor Analysis Data Security Privacy and Confidentiality Feedback Learning Environment Multicenter Studies Culture Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of "Ethical and Privacy Expectations" and "Service Feature Expectations." As it stands, however, the SELAQ has only been validated with students from UK university, which is problematic on account of the interest in Learning Analytics extending beyond this context. Thus, the aim of the current work was to assess whether the translated SELAQ can be validated in three contexts (an Estonian, a Spanish, and a Dutch University). The findings show that the model provided acceptable fits in both the Spanish and Dutch samples, but was not supported in the Estonian student sample. In addition, an assessment of local fit is undertaken for each sample, which provides important points that need to be considered in future work. Finally, a general comparison of expectations across contexts is undertaken, which are discussed in relation to the General Data Protection Regulation (2018). Lay Description: What is currently known about the subject matter: Accounting for student expectations allows for a service that is meaningful.SELAQ measures student expectations towards Learning Analytics services.The 12 items of the SELAQ can be explained by a two‐factor structure (Ethical and Privacy Expectations and Service Feature Expectations). What their paper adds to this: Validation of the SELAQ in three contextsA discussion of localized sources of strainAn assessment of measurement quality in each contextA general comparison of student expectations across contexts The implications of study findings for practitioners: SELAQ can be used with Spanish and Dutch students.SELAQ responses provide a much needed input from end‐users in Learning Analytics implementations. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|