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DATA
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About |
In this workshop, we will focus on the design of contingent feedback for MOOCs. MOOC participants often tackle problems that, if unsolved, can lead to course disengagement and dropout (Adamopoulos, 2013; Shatnawi, Gaber, & Cocea, 2014; Topali, et. al, 2019). Usually students report problems in the course’s discussion forums, but they do not get the attention they require due to (among others) MOOC-specific aspects, such as (a) the massive nature of MOOCs, (b) learners' heterogeneity, (c) instructors’ high workload, and (d) the asynchronous learner-to-learner and learner-to-instructor interaction. |
Call For Paper |
To that end, we invite participants to submit their contributions (papers, short papers) on - but not limited to- the following topics (with an emphasis on MOOCs):
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Hotel Deals |
OTHER DATA EVENTS |
![]() EAI ADHIP 2021 : 5th EAI International Conference on Advanced Hybrid Information Processing
Yantai, People's Republic of China Oct 15, 2021 |
![]() BigDaCI 2021 : 6th International Conference on Big Data Analytics, Data Mining and Computational Intelligence
Online Jul 21, 2021 |
![]() DEBS 2021 : 15TH ACM INTERNATIONAL CONFERENCE ON DISTRIBUTED AND EVENT-BASED SYSTEMS
Milan, Italy Jun 28, 2021 |
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![]() CONF-CDS 2021 : The 2nd International Conference on Computing and Data Science
Kennedy Commons Stanford (Online) Jan 28, 2021 |