Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses.
Background: Providing feedback in massive open online courses (MOOCs) is challenging due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) solutions aim at scaling up feedback interventions and supporting instructors in this endeavour. Paper Objectives: This paper...
| Publicado en: | Journal of Computer Assisted Learning Vol. 39; no. 4; pp. 1039 - 1061 |
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| Autores principales: | , , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2023
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| 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=164914324&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164914324 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2023 vid: 39 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 164914324 162227461 164914324 164914324 10.1111/jcal.12799 164914324 ppf: 1039 ppct: 22 formats: tig: atl: Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses. aug: au: Topali, Paraskevi Chounta, Irene‐Angelica Martínez‐Monés, Alejandra Dimitriadis, Yannis affil: Department of Pedagogy, Universidad de Valladolid, Valladolid, Spain sug: subj: Online Education MOOC Feedback Teachers Learning Methods Students Human Systematic Review Content Analysis Teaching Methods Computer-Assisted Instruction Funding Source ab: Background: Providing feedback in massive open online courses (MOOCs) is challenging due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) solutions aim at scaling up feedback interventions and supporting instructors in this endeavour. Paper Objectives: This paper focuses on instructor‐led feedback mediated by LA tools in MOOCs. Our goal is to answer how, to what extent data‐driven feedback is provided to learners, and what its impact is. Methods: We conducted a systematic literature review on the state‐of‐the‐art LA‐informed instructor‐led feedback in MOOCs. From a pool of 227 publications, we selected 38 articles that address the topic of LA‐informed feedback in MOOCs mediated by instructors. We applied etic content analysis to the collected data. Results and Conclusions: The results revealed a lack of empirical studies exploring LA to deliver feedback, and limited attention on pedagogy to inform feedback practices. Our findings suggest the need for systematization and evaluation of feedback. Additionally, there is a need for conceptual tools to guide instructors' in the design of LA‐based feedback. Takeaways: We point out the need for systematization and evaluation of feedback. We envision that this research can support the design of LA‐based feedback, thus contributing to bridge the gap between pedagogy and data‐driven practice in MOOCs. Lay Description: What is known about this topic: Learners' scale and diversity hinder timely feedback in massive open online courses (MOOCs).Learning analytics (LA) can optimise learners' support by scaling the feedback interventions. What this paper adds: We present a literature review on LA‐based feedback in MOOCs in the last 12 years.We focused on LA approaches that support instructors in providing feedback.Results show a scarcity of empirical studies related to these LA‐based tools.Results show that limited attention is paid to pedagogical and contextual aspects. Implications of the study findings for practitioners: We address knowledge gaps related to LA‐based tools for feedback in MOOCs.There is a need of LA‐based interventions to consider the course context.There is a need to evaluate the impact of LA‐based feedback in MOOCs empirically. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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