Students' Sense-Making of Personalised Feedback Based on Learning Analytics

Autor/inn/en	Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Fudge, Anthea; Pardo, Abelardo; Gentili, Sheridan
Titel	Students' Sense-Making of Personalised Feedback Based on Learning Analytics
Quelle	In: Australasian Journal of Educational Technology, 36 (2020) 6, S.15-33 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lim, Lisa-Angelique) ORCID (Dawson, Shane) ORCID (Gaševic, Dragan) ORCID (Joksimovic, Srecko) ORCID (Fudge, Anthea) ORCID (Pardo, Abelardo) ORCID (Gentili, Sheridan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1449-5554
Schlagwörter	Individualized Instruction; Learning Analytics; Data Collection; Student Attitudes; Undergraduate Students; Nontraditional Students; Research Universities; Self Management; Learning Strategies; Goal Orientation; Teacher Student Relationship; Dialogs (Language); Interpersonal Communication; Electronic Mail; Time Management; Student Motivation; Foreign Countries; Australia + Suchen Sie Ihr Suchwort? Individualisierender Unterricht; Data capture; Datensammlung; Schülerverhalten; Forschungseinrichtung; Selbstmanagement; Learning methode; Learning techniques; Lernmethode; Lernstrategie; Zielorientierung; Zielvorstellung; Teacher student relationships; Lehrer-Schüler-Beziehung; Dialog; Dialogs; Dialogue; Dialogues; Interpersonale Kommunikation; Elektronischer Briefkasten; Zeitmanagement; Schulische Motivation; Ausland; Australien
Abstract	Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students' sense-making of learning analytics--based personalised feedback across four courses. Results from a combination of thematic analysis and epistemic network analysis show an association between student perceptions of their personalised feedback and how these map to subsequent self-described self-regulated learning processes. Most notably, the results indicate that personalised feedback, elaborated by personal messages from course instructors, helps students refine or strengthen important forethought processes of goal-setting, as well as to reduce procrastination. The results highlight the need for instructors to increase the dialogic element in personalised feedback in order to reduce defensive reactions from students who hold to their own learning strategies. This approach may prompt reflection on the suitability of students' current learning strategies and achievement of associated learning goals. Implications for practice or policy: (1) Personalised feedback based on learning analytics should be informed by an understanding of students' self-regulated learning; (2) Instructors implementing personalised feedback should align this closely with the course curriculum; (3) Instructors implementing personalised feedback in their courses should consider the relational element of feedback by using a positive tone; and (4) Personalised feedback can be further enhanced by increasing the dialogic element and by including more information about learning strategies. (As Provided).
Anmerkungen	Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01