Personalized Learning Analytics-Based Feedback on a Self-Paced Online Course

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http://hdl.handle.net/10138/333437

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Pesonen , J , Palo-oja , O-M & Ng , K 2021 , Personalized Learning Analytics-Based Feedback on a Self-Paced Online Course . in M Scheffel , N Dowell , S Joksimovic & G Siemens (eds) , Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge (LAK’21) : The impact we make: The contributions of learning analytics to learning: April 12-16, 2021, Online, Everywhere . Society for Learning Analytics Research , [Beaumont, Alberta] , pp. 13-14 , Learning Analytics & Knowledge 2021 , 12/04/2021 . < https://www.solaresearch.org/core/lak21-companion-proceedings/ >

Titel: Personalized Learning Analytics-Based Feedback on a Self-Paced Online Course
Författare: Pesonen, Joonas; Palo-oja, Outi-Maaria; Ng, Kwok
Editor: Scheffel, Maren; Dowell, Nia; Joksimovic, Srecko; Siemens, George
Medarbetare: University of Helsinki, Department of Education
Utgivare: Society for Learning Analytics Research
Datum: 2021-04
Språk: eng
Sidantal: 2
Tillhör serie: Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge (LAK’21) The impact we make: The contributions of learning analytics to learning: April 12-16, 2021, Online, Everywhere
Permanenta länken (URI): http://hdl.handle.net/10138/333437
Abstrakt: Self-regulated learning skills are very important on self-paced online courses, where students have great autonomy but limited guidance. We combined goal setting strategies and personalized feedback to support students’ self-regulation and keep them engaged in a self-paced online course. We describe our setup and the findings of the project.
Subject: 516 Educational sciences
113 Computer and information sciences
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