short-paper

Taking Informed Action on Student Activity in MOOCs

Authors:

Ralf Teusner,

Kai-Adrian Rollmann,

Jan RenzAuthors Info & Claims

L@S '17: Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale

Pages 149 - 152

https://doi.org/10.1145/3051457.3053971

Published: 12 April 2017 Publication History

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Abstract

This paper presents a novel approach to understand specific student behavior in MOOCs. Instructors currently perceive participants only as one homogeneous group. In order to improve learning outcomes, they encourage students to get active in the discussion forum and remind them of approaching deadlines. While these actions are most likely helpful, their actual impact is often not measured. Additionally, it is uncertain whether such generic approaches sometimes cause the opposite effect, as some participants are bothered with irrelevant information. On the basis of fine granular events emitted by our learning platform, we derive metrics and enable teachers to employ clustering, in order to divide the vast field of participants into meaningful subgroups to be addressed individually.

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Cited By

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Rohloff TRenz JSuarez GMeinel CEbeling WPöschel T(2019)A Ubiquitous Learning Analytics Architecture for a Service-Oriented MOOC PlatformLectures on Quantum Statistics10.1007/978-3-030-19875-6_19(162-171)Online publication date: 8-May-2019
https://doi.org/10.1007/978-3-030-19875-6_19
Teusner RHille TStaubitz TLuckin RKlemmer SKoedinger K(2018)Effects of automated interventions in programming assignmentsProceedings of the Fifth Annual ACM Conference on Learning at Scale10.1145/3231644.3231650(1-10)Online publication date: 26-Jun-2018
https://dl.acm.org/doi/10.1145/3231644.3231650
Rohloff TBothe MRenz JMeinel C(2018)Towards a Better Understanding of Mobile Learning in MOOCs2018 Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS.2018.8534685(1-4)Online publication date: Sep-2018
https://doi.org/10.1109/LWMOOCS.2018.8534685
Show More Cited By

Index Terms

Taking Informed Action on Student Activity in MOOCs
1. Applied computing
  1. Education
2. Information systems
  1. Information systems applications
    1. Data mining
      1. Clustering

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Information & Contributors

Information

Published In

L@S '17: Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale

April 2017

352 pages

ISBN:9781450344500

DOI:10.1145/3051457

General Chair:
Claudia Urrea
Massachusetts Institute of Technology, USA
,
Program Chairs:
Justin Reich
Massachusetts Institute of Technology, USA
,
Candace Thille
Stanford University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 April 2017

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L@S 2017

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L@S 2017: Fourth (2017) ACM Conference on Learning @ Scale

April 20 - 21, 2017

Massachusetts, Cambridge, USA

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L@S '17 Paper Acceptance Rate 14 of 105 submissions, 13%;

Overall Acceptance Rate 117 of 440 submissions, 27%

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Cited By

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Rohloff TRenz JSuarez GMeinel CEbeling WPöschel T(2019)A Ubiquitous Learning Analytics Architecture for a Service-Oriented MOOC PlatformLectures on Quantum Statistics10.1007/978-3-030-19875-6_19(162-171)Online publication date: 8-May-2019
https://doi.org/10.1007/978-3-030-19875-6_19
Teusner RHille TStaubitz TLuckin RKlemmer SKoedinger K(2018)Effects of automated interventions in programming assignmentsProceedings of the Fifth Annual ACM Conference on Learning at Scale10.1145/3231644.3231650(1-10)Online publication date: 26-Jun-2018
https://dl.acm.org/doi/10.1145/3231644.3231650
Rohloff TBothe MRenz JMeinel C(2018)Towards a Better Understanding of Mobile Learning in MOOCs2018 Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS.2018.8534685(1-4)Online publication date: Sep-2018
https://doi.org/10.1109/LWMOOCS.2018.8534685
Matthies CTeusner RHesse G(2018)Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8659205(1-9)Online publication date: Oct-2018
https://doi.org/10.1109/FIE.2018.8659205
Ortega-Arranz AKalz MMartinez-Mones A(2018)Creating engaging experiences in MOOCs through in-course redeemable rewards2018 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2018.8363464(1875-1882)Online publication date: Apr-2018
https://doi.org/10.1109/EDUCON.2018.8363464
Staubitz TWillems CHagedorn CMeinel C(2017)The gamification of a MOOC platform2017 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2017.7942952(883-892)Online publication date: Apr-2017
https://doi.org/10.1109/EDUCON.2017.7942952

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Visualizing patterns of student engagement and performance in MOOCs

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