Engaging with Massive Online Courses
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Abstract (arXiv)
The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollments, MOOCs have the potential to become a major new mechanism for learning. Despite this early promise, however, MOOCs are still relatively unexplored and poorly understood. In a MOOC, each student's complete interaction with the course materials takes place on the Web, thus providing a record of learner activity of unprecedented scale and resolution. In this work, we use such trace data to develop a conceptual framework for understanding how users currently engage with MOOCs. We develop a taxonomy of individual behavior, examine the different behavioral patterns of high- and low-achieving students, and investigate how forum participation relates to other parts of the course. We also report on a large-scale deployment of badges as incentives for engagement in a MOOC, including randomized experiments in which the presentation of badges was varied across sub-populations. We find that making badges more salient produced increases in forum engagement.
Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Mar 2014.
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Citing papers per year: 2021: 4; 2022: 4; 2023: 3; 2024: 8; 2025: 0; 2026: 1.
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- 2021Enhancing Knowledge Tracing via Adversarial Trainingcited by 30
- 2022Self-supervised Graph Learning for Long-tailed Cognitive Diagnosiscited by 13
- 2024Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networkscited by 12
- 2023Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systemscited by 7
- 2023Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Conceptscited by 5
- 2021LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequencescited by 4
- 2022Automatic Context-Driven Inference of Engagement in HMI: A Surveycited by 4
- 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosiscited by 4
- 2023Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Searchcited by 2
- 2024Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attentioncited by 2
- 2024A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environmentscited by 2
- 2021Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Predictioncited by 1
8 more
- 2022DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platformscited by 1
- 2024Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learnerscited by 1
- 2024Dual-State Personalized Knowledge Tracing with Emotional Incorporationcited by 1
- 2021MOOCRep: A Unified Pre-trained Embedding of MOOC Entitiescited by 0
- 2022Heterogeneous Line Graph Transformer for Math Word Problemscited by 0
- 2024Modeling and predicting students' engagement behaviors using mixture Markov modelscited by 0
- 2024Generalized Encouragement-Based Instrumental Variables for Counterfactual Regressioncited by 0
- 2026Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Educationcited by 0
- 2026Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education8 Apr 2026
- 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis23 Oct 2024
- 2024A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments19 Oct 2024
- 2024Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression10 Aug 2024
- 2024Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention2 Jul 2024
- 2024Dual-State Personalized Knowledge Tracing with Emotional Incorporation27 May 2024
- 2024Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks23 May 2024
- 2024Modeling and predicting students' engagement behaviors using mixture Markov models10 Feb 2024
- 2024Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners10 Feb 2024
- 2023Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems30 Dec 2023
- 2023Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts7 Aug 2023
- 2023Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search10 Jul 2023
8 more
- 2022DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms22 Oct 2022
- 2022Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis15 Oct 2022
- 2022Automatic Context-Driven Inference of Engagement in HMI: A Survey30 Sep 2022
- 2022Heterogeneous Line Graph Transformer for Math Word Problems11 Aug 2022
- 2021Enhancing Knowledge Tracing via Adversarial Training10 Aug 2021
- 2021MOOCRep: A Unified Pre-trained Embedding of MOOC Entities12 Jul 2021
- 2021Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction1 Jun 2021
- 2021LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences21 Apr 2021
- 2021Enhancing Knowledge Tracing via Adversarial Trainingcited by 30
- 2022Self-supervised Graph Learning for Long-tailed Cognitive Diagnosiscited by 13
- 2024Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networkscited by 12
- 2023Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systemscited by 7
- 2023Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Conceptscited by 5
- 2021LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequencescited by 4
- 2022Automatic Context-Driven Inference of Engagement in HMI: A Surveycited by 4
- 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosiscited by 4
- 2023Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Searchcited by 2
- 2024Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attentioncited by 2
- 2024A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environmentscited by 2
- 2021Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Predictioncited by 1
12 most cited of 20 All 20 (JSON)
- 2026Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education8 Apr 2026
- 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis23 Oct 2024
- 2024A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments19 Oct 2024
- 2024Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression10 Aug 2024
- 2024Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention2 Jul 2024
- 2024Dual-State Personalized Knowledge Tracing with Emotional Incorporation27 May 2024
- 2024Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks23 May 2024
- 2024Modeling and predicting students' engagement behaviors using mixture Markov models10 Feb 2024
- 2024Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners10 Feb 2024
- 2023Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems30 Dec 2023
- 2023Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts7 Aug 2023
- 2023Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search10 Jul 2023
12 newest of 20 All 20 (JSON)