Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses
نویسندگان
چکیده
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 interventions supporting instructors this endeavour. Paper Objectives This paper focuses on instructor-led mediated by LA tools MOOCs. Our goal answer how, what extent data-driven provided learners, its impact is. Methods We conducted a systematic literature review state-of-the-art LA-informed From pool 227 publications, we selected 38 articles that address topic MOOCs instructors. applied etic content analysis collected data. Results Conclusions The results revealed lack empirical studies exploring deliver feedback, limited attention pedagogy inform practices. findings suggest need for systematization evaluation feedback. Additionally, there conceptual guide instructors' design LA-based Takeaways point out envision research can support thus contributing bridge gap between practice
منابع مشابه
Learning Analytics in Massive Open Online Courses
Educational technology has obtained great importance over the last fifteen years. At present, the umbrella of educational technology incorporates multitudes of engaging online environments and fields. Learning analytics and Massive Open Online Courses (MOOCs) are two of the most relevant emerging topics in this domain. Since they are open to everyone at no cost, MOOCs excel in attracting numero...
متن کاملMassive Open Online Courses
Massive Open Online Courses (MOOCs) are a new addition to the open educational provision. They are offered mainly by prestigious universities on various commercial and non-commercial MOOC platforms allowing anyone who is interested to experience the world class teaching practiced in these universities. MOOCs have attracted wide interest from around the world. However, learner demographics in MO...
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ژورنال
عنوان ژورنال: Journal of Computer Assisted Learning
سال: 2023
ISSN: ['1365-2729', '0266-4909']
DOI: https://doi.org/10.1111/jcal.12799