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Towards Improving Students' Forum Posts Categorization in MOOCs and Impact on Performance Prediction

Fatima Harrak, Vanda Luengo, François Bouchet, Rémi Bachelet
2019 Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale - L@S '19  
Going beyond mere forum posts categorization is key to understand why some students struggle and eventually fail in MOOCs.  ...  We propose here an extension of a coding scheme and present the design of the associated automatic annotation tools to tag students' questions in their forum posts.  ...  We hypothesize that analyzing more finely the content of MOOC posts would help in particular to predict students' success.  ... 
doi:10.1145/3330430.3333661 dblp:conf/lats/HarrakLBB19 fatcat:47lkc3j5hraypfi6ro6erl3khu

Using Discourse Signals for Robust Instructor Intervention Prediction [article]

Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane Litman
2016 arXiv   pre-print
We tackle the prediction of instructor intervention in student posts from discussion forums in Massive Open Online Courses (MOOCs).  ...  In comprehensive experiments over 14 MOOC offerings from several disciplines, the PDTB discourse features improve performance on average.  ...  We would like to thank the University of Pittsburgh's Center for Teaching and Learning, for sharing their MOOC data.  ... 
arXiv:1612.00944v1 fatcat:pry6gq4mwraxfhweqbqmle4chq

Student success prediction in MOOCs

Josh Gardner, Christopher Brooks
2018 User modeling and user-adapted interaction  
In this article we review the state of the art in predictive models of student success in MOOCs and present a categorization of MOOC research according to the predictors (features), prediction (outcomes  ...  Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive interventions.  ...  Acknowledgements This work was funded in part by the Michigan Institute for Data Science (MIDAS) Holistic Modeling of Education (HOME) project, and the University of Michigan Third Century Initiative.  ... 
doi:10.1007/s11257-018-9203-z fatcat:pgrusb3jqrc7fmc4g4rutwqcne

Learning Instructor Intervention from MOOC Forums: Early Results and Issues [article]

Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C.Y. Tan, Kiruthika Ragupathi
2015 arXiv   pre-print
With large student enrollment, MOOC instructors face the unique challenge in deciding when to intervene in forum discussions with their limited bandwidth.  ...  Using a large sample of forum data culled from 61 courses, we design a binary classifier to predict whether an instructor should intervene in a discussion thread or not.  ...  The authors would like to thank Snigdha Chaturvedi and her coauthors for their help in answering detailed questions on the methodology of their work.  ... 
arXiv:1504.07206v1 fatcat:ibagvfof3vg7jccdo4s2ws7uua

Exploring the Effect of Student Confusion in Massive Open Online Courses

Diyi Yang, Robert Kraut, Carolyn Rose
2016 Zenodo  
Although thousands of students enroll in Massive Open Online Courses (MOOCs) for learning and self-improvement, many get confused, harming learning and increasing dropout rates.  ...  We first describe how we automatically estimate students' confusion by looking at their clicking behavior on course content and participation in the course discussion forums.  ...  Chaturvedi et al. (2014) targeted students who have forum posts and predicted instructor interventions in MOOC forums.  ... 
doi:10.5281/zenodo.3554605 fatcat:qywnqnvw3fgnpebced4bpfnq6i

Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses

Diyi Yang, Miaomiao Wen, Iris Howley, Robert Kraut, Carolyn Rose
2015 Proceedings of the Second (2015) ACM Conference on Learning @ Scale - L@S '15  
We conclude with implications for design of interventions towards improving the retention of students in MOOCs.  ...  We then apply survival analysis to quantify the impact of confusion on student dropout.  ...  ACKNOWLEDGEMENT This research was funded in part from a grant from Google.  ... 
doi:10.1145/2724660.2724677 dblp:conf/lats/YangWHKR15 fatcat:gifayyasezdxxa27kjndlc2d7m

Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model

Sabina Tomkins, Lise Getoor
2019 Zenodo  
We first analyze features of student behavior and their effect on post-test performance and then propose a novel probabilistic model for inferring student success on an AP exam post-test.  ...  By collectively inferring student success as a function of both unobserved individual characteristics and relational dynamics, we improve predictive performance by up to 6.8% over an SVM model with only  ...  To do so, we consider the following questions: • Does participation in forums impact post-test performance and learning?  ... 
doi:10.5281/zenodo.3594772 fatcat:nxnryv254renro2cmjgabmuabm

Learning Analytics in Massive Open Online Courses [article]

Mohammad Khalil
2018 arXiv   pre-print
The primary research of this dissertation focuses on the integration of learning analytics in MOOCs, and thereafter looks into examining students' behavior on one side and bridging MOOC issues on the other  ...  Their benefits are crystallized in the improvement of educational outcomes, reduction of costs and accessibility expansion.  ...  This might have left a psychological impact on the students' activity in the MOOC in general and in the forums in particular.  ... 
arXiv:1802.09344v1 fatcat:w42m2vuoibezpig5wewuh6so2i

Preface [chapter]

Santi Caballé, Stavros N. Demetriadis, Eduardo Gómez-Sánchez, Pantelis M. Papadopoulos, Armin Weinberger
2021 Intelligent Systems and Learning Data Analytics in Online Education  
by granting access to an audience way beyond students enrolled in any one higher education institution (HEI).  ...  MOOCs have been reported as an efficient and important educational tool, yet there are a number of issues and problems related to their educational impact.  ...  , level of confusion, and urgency of MOOC forum posts.  ... 
doi:10.1016/b978-0-12-823410-5.00016-4 fatcat:ljwaalgcobenzad4q3yxhyhmmu

Sentiment Analysis of Students' Feedback in MOOCs: A Systematic Literature Review

Fisnik Dalipi, Katerina Zdravkova, Fredrik Ahlgren
2021 Frontiers in Artificial Intelligence  
course performance and dropouts, and MOOC design model evaluation.  ...  This article is a systematic literature review on the use of sentiment analysis for evaluating students' feedback in MOOCs, exploring works published between January 1, 2015, and March 4, 2021.  ...  networks posts, understanding course performance and dropouts, and MOOC design model evaluation.  ... 
doi:10.3389/frai.2021.728708 pmid:34568815 pmcid:PMC8459797 fatcat:is7patb7mvcrrn3ryd2kjebxom

Massive Open Online Courses in Public Health

Ira Gooding, Brian Klaas, James D. Yager, Sukon Kanchanaraksa
2013 Frontiers in Public Health  
The authors describe the experience of developing and offering eight MOOCs on a variety of public health topics.  ...  Massive open online courses (MOOCs) represent a new and potentially transformative model for providing educational opportunities to learners not enrolled in a formal educational program.  ...  Enrollees who posted at least one time on the Discussion Forum are categorized as forum participants.  ... 
doi:10.3389/fpubh.2013.00059 pmid:24350228 pmcid:PMC3859968 fatcat:kanas3pjkja3ti4dsxk62chlmi

How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs

Srećko Joksimović, Oleksandra Poquet, Vitomir Kovanović, Nia Dowell, Caitlin Mills, Dragan Gašević, Shane Dawson, Arthur C. Graesser, Christopher Brooks
2017 Review of Educational Research  
Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain  ...  This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis of learning related constructs used in the prediction and measurement  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their helpful and constructive comments that greatly contributed to improving the final version of the paper.  ... 
doi:10.3102/0034654317740335 fatcat:am6rbxxxmvbennzldqkprl4khu

Modelling Student Behavior using Granular Large Scale Action Data from a MOOC [article]

Steven Tang, Joshua C. Peterson, Zachary A. Pardos
2016 arXiv   pre-print
In this paper, we draw an analogy to this work by treating student sequences of resource views and interactions in a MOOC as the inputs and predicting students' next interaction as outputs.  ...  In this study, we train only on students who received a certificate of completion.  ...  We seek to consider all actions of students in a MOOC such as viewing lecture videos or replying to forum posts and attempt to predict their next action.  ... 
arXiv:1608.04789v1 fatcat:4unssptxt5epzdzvpf5h2oznom

Comparing the Factors That Predict Completion and Grades Among For-Credit and Open/MOOC Students in Online Learning

Ma. Victoria Almeda, Joshua Zuech, Ryan S. Baker, Chris Utz, Greg Higgins, Rob Reynolds
2018 Online Learning  
Do , this body of literature has been split into two-subcategories: research on success in MOOCs and research on success in For-credit courses.  ...  Our findings indicate that our models perform well enough to predict students' course grades for new students across both of our populations.  ...  Comparing the Factors that Predict Completion and Grades Among For-Credit and Open/MOOC Students in Online Learning  ... 
doi:10.24059/olj.v22i1.1060 fatcat:plw2nz5tkjbcnk2fnvecptz7ca

Coursera's introductory human physiology course: Factors that characterize successful completion of a MOOC

Deborah Engle, Chris Mankoff, Jennifer Carbrey
2015 International Review of Research in Open and Distance Learning  
A greater proportion of students who passed the course or passed with distinction posted two or more times on the course discussion forum.  ...  We categorized students who completed the pre-course survey into groups based on the number of exams completed and corresponding course achievement level.  ...  Coursera's Introductory Human Physiology Course: Factors that Characterize Successful Completion of a MOOC Engle, Mankoff, and Carbrey  ... 
doi:10.19173/irrodl.v16i2.2010 fatcat:zdez37rozvhl3oyoqh7z33ql3m
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