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CoFeeMOOC-v.2

  • Providing adequate support to MOOC participants is often a challenging task due to massiveness of the learners’ population and the asynchronous communication among peers and MOOC practitioners. This workshop aims at discussing common learners’ problems reported in the literature and reflect on designing adequate feedback interventions with the use of learning data. Our aim is three-fold: a) to pinpoint MOOC aspects that impact the planning of feedback, b) to explore the use of learning data in designing feedback strategies, and c) to propose design guidelines for developing and delivering scaffolding interventions for personalized feedback in MOOCs. To do so, we will carry out hands-on activities that aim to involve participants in interpreting learning data and using them to design adaptive feedback. This workshop appeals to researchers, practitioners and MOOC stakeholders who aim to providing contextualized scaffolding. We envision that this workshop will provide insights for bridging the gap between pedagogical theory and practiceProviding adequate support to MOOC participants is often a challenging task due to massiveness of the learners’ population and the asynchronous communication among peers and MOOC practitioners. This workshop aims at discussing common learners’ problems reported in the literature and reflect on designing adequate feedback interventions with the use of learning data. Our aim is three-fold: a) to pinpoint MOOC aspects that impact the planning of feedback, b) to explore the use of learning data in designing feedback strategies, and c) to propose design guidelines for developing and delivering scaffolding interventions for personalized feedback in MOOCs. To do so, we will carry out hands-on activities that aim to involve participants in interpreting learning data and using them to design adaptive feedback. This workshop appeals to researchers, practitioners and MOOC stakeholders who aim to providing contextualized scaffolding. We envision that this workshop will provide insights for bridging the gap between pedagogical theory and practice when it comes to feedback interventions in MOOCs.show moreshow less

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Metadaten
Author details:Paraskevi Topali, Irene-Angelica Chounta, Alejandro Ortega-Arranz, Sara L. Villagrá-Sobrino, Alejandra Martínez-Monés
URN:urn:nbn:de:kobv:517-opus4-517241
DOI:https://doi.org/10.25932/publishup-51724
ISBN:978-3-86956-512-5
Title of parent work (English):EMOOCs 2021
Subtitle (English):Designing Contingent Feedback for Massive Open Online Courses
Publisher:Universitätsverlag Potsdam
Place of publishing:Potsdam
Publication type:Article
Language:English
Date of first publication:2021/06/30
Publication year:2021
Publishing institution:Universität Potsdam
Publishing institution:Universitätsverlag Potsdam
Release date:2021/09/22
Volume:2021
Number of pages:9
First page:209
Last Page:217
RVK - Regensburg classification:ST 670
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Peer review:Referiert
Publishing method:Universitätsverlag Potsdam
Open Access / Gold Open-Access
Collection(s):Universität Potsdam / Sammelwerke (nicht fortlaufend) / EMOOCs 2021 / Beiträge
License (German):License LogoCC-BY - Namensnennung 4.0 International
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