Visualizing students flows to monitor persistence
- Founded in 2013, OpenClassrooms is a French online learning company that offers both paid courses and free MOOCs on a wide range of topics, including computer science and education. In 2021, in partnership with the EDA research unit, OpenClassrooms shared a database to solve the problem of how to increase persistence in their paid courses, which consist of a series of MOOCs and human mentoring. Our statistical analysis aims to identify reasons for dropouts that are due to the course design rather than demographic predictors or external factors.We aim to identify at-risk students, i.e. those who are on the verge of dropping out at a specific moment. To achieve this, we use learning analytics to characterize student behavior. We conducted data analysis on a sample of data related to the “Web Designers” and “Instructional Design” courses. By visualizing the student flow and constructing speed and acceleration predictors, we can identify which parts of the course need to be calibrated and when particular attention should be paid to theseFounded in 2013, OpenClassrooms is a French online learning company that offers both paid courses and free MOOCs on a wide range of topics, including computer science and education. In 2021, in partnership with the EDA research unit, OpenClassrooms shared a database to solve the problem of how to increase persistence in their paid courses, which consist of a series of MOOCs and human mentoring. Our statistical analysis aims to identify reasons for dropouts that are due to the course design rather than demographic predictors or external factors.We aim to identify at-risk students, i.e. those who are on the verge of dropping out at a specific moment. To achieve this, we use learning analytics to characterize student behavior. We conducted data analysis on a sample of data related to the “Web Designers” and “Instructional Design” courses. By visualizing the student flow and constructing speed and acceleration predictors, we can identify which parts of the course need to be calibrated and when particular attention should be paid to these at-risk students.…
Author details: | Mehdi KhaneboubiORCiD |
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URN: | urn:nbn:de:kobv:517-opus4-623906 |
DOI: | https://doi.org/10.25932/publishup-62390 |
Title of parent work (English): | EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? |
Publisher: | Universitätsverlag Potsdam |
Place of publishing: | Potsdam |
Editor(s): | Christoph Meinel, Stefanie Schweiger, Thomas Staubitz, Robert Conrad, Carlos Alario Hoyos, Martin Ebner, Susanna Sancassani, Agnieszka Żur, Christian Friedl, Sherif Halawa, Dilrukshi Gamage, Jeffrey Scott, May Kristine Jonson Carlon, Yves Deville, Michael Gaebel, Carlos Delgado Kloos, Karen von Schmieden |
Publication type: | Article |
Language: | English |
Date of first publication: | 2023/11/14 |
Publication year: | 2023 |
Publishing institution: | Universität Potsdam |
Publishing institution: | Universitätsverlag Potsdam |
Release date: | 2024/01/31 |
Tag: | Digitale Bildung; Kursdesign; MOOC; Micro Degree; Online-Lehre; Onlinekurs; Onlinekurs-Produktion digital education; e-learning; micro degree; micro-credential; online course creation; online course design; online teaching |
Number of pages: | 11 |
First page: | 121 |
Last Page: | 131 |
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 / 000 Informatik, Informationswissenschaft, allgemeine Werke |
Peer review: | Referiert |
Publishing method: | Universitätsverlag Potsdam |
Open Access / Gold Open-Access | |
Collection(s): | Universität Potsdam / Sammelwerke (nicht fortlaufend) / EMOOCs 2023 / Beiträge |
License (German): | CC-BY - Namensnennung 4.0 International |