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we learn scale understanding and supporting peer feedback at massive learning scale skip to content welearn scale synergy publications workshops seminars and talks news contact welearn scale welearn scale understanding and supporting peer feedback at massive learning scale background and research goals not every individual accessing moocs equally benefits from them in particular learners who have limited or no background on a topic that they are enthusiastic to learn about often struggle to master the concepts submit assignments and complete the course the dropout of such students is inevitable particularly given the limited instructor guidance in moocs it learn more welearn scale welearn scale understanding and supporting peer feedback at massive learning scale background and research goals not every individual accessing moocs equally benefits from them in particular learners who have limited or no background on a topic that they are enthusiastic to learn about often struggle to master the concepts submit assignments and complete the course the dropout of such students is inevitable particularly given the limited instructor guidance in moocs it is not feasible for instructors to monitor every student and provide formative feedback tailored to their unique needs as a result many mooc learners who are at risk of dropping out miss the opportunity of receiving feedback on their work to improve their learning and performance thus feedback which is imperative to learning is troublesome in moocs and it needs to be addressed so that every learner can maximally benefit from mooc education attending to this gap this project aims to advance the understanding of feedback phenomenon at massive learning scale and improve the current mooc practice in this regard by enabling the provision of timely constructive personalized peer feedback this research aims to generate design guidelines for effective feedback exchange among mooc learners and use these guidelines to build an adaptive crowdsourced peer feedback system called welearn scale wl s research team this research project is hosted by gsic emic interdisciplinary research group located at the university of valladolid universidad de valladolid this project is funding by the european union s horizon 2020 research and innovation programme under the marie sklodowska curie grant agreement no 793317 the research fellow in this project is erkan er who is supervised by yannis dimitriadis universidad de valladolid and co supervised by dragan gasevic monash university senior researchers of gsic emic eduardo gómez sánchez miguel luis bote lorenzo and juan ignacio asensio pérez are also involved in the project this project as received funding from the european union s horizon 2020 research and innovation programme under the marie sklodowska curie grant agreement no 793317 proudly powered by wordpress theme corporate plus by acme themes
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