On the public citation graph

On the Effectiveness of Self-Training in MOOC Dropout Prediction

https://doi.org/10.1515/comp-2020-0153
0 signed · 97 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22129openalex-snapshot
Virtual learning environment to predict withdrawal by leveraging deep learning
inferredcites →https://doi.org/10.1007/11430919_71openalex-snapshot
SETRED: Self-training with Editing
inferredcites →https://doi.org/10.1007/978-3-319-19773-9_6openalex-snapshot
Transfer Learning for Predictive Models in Massive Open Online Courses
inferredcites →https://doi.org/10.1007/978-3-319-63309-1_3openalex-snapshot
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses
inferredcites →https://doi.org/10.1007/978-3-319-66610-5_22openalex-snapshot
MOOC Dropouts: A Multi-system Classifier
inferredcites →https://doi.org/10.1007/978-3-642-40814-4_2openalex-snapshot
Analysing the Impact of Built-In and External Social Tools in a MOOC on Educational Technologies
inferredcites →https://doi.org/10.1007/978-3-662-48978-9_12openalex-snapshot
A Big Data Framework for Early Identification of Dropout Students in MOOC
inferredcites →https://doi.org/10.1016/j.chb.2015.12.007openalex-snapshot
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
inferredcites →https://doi.org/10.1016/j.compedu.2014.08.005openalex-snapshot
Instructional quality of Massive Open Online Courses (MOOCs)
inferredcites →https://doi.org/10.1016/j.compedu.2016.03.016openalex-snapshot
Exploring the factors affecting MOOC retention: A survey study
inferredcites →https://doi.org/10.1016/j.compedu.2019.103728openalex-snapshot
Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs
inferredcites →https://doi.org/10.1016/j.edurev.2014.05.001openalex-snapshot
Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges
inferredcites →https://doi.org/10.1016/j.iheduc.2014.07.001openalex-snapshot
Virtually unlimited classrooms: Pedagogical practices in massive open online courses
inferredcites →https://doi.org/10.1016/j.ins.2007.02.036openalex-snapshot
Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
inferredcites →https://doi.org/10.1080/01587919.2020.1724772openalex-snapshot
Going over the cliff: MOOC dropout behavior at chapter transition
inferredcites →https://doi.org/10.1080/10494820.2020.1727529openalex-snapshot
Prediction of students’ early dropout based on their interaction logs in online learning environment
inferredcites →https://doi.org/10.1086/227352openalex-snapshot
The Focused Organization of Social Ties
inferredcites →https://doi.org/10.1109/access.2018.2881275openalex-snapshot
An Integrated Framework With Feature Selection for Dropout Prediction in Massive Open Online Courses
inferredcites →https://doi.org/10.1109/access.2019.2962258openalex-snapshot
Semi-Supervised Learning for Fine-Grained Classification With Self-Training
inferredcites →https://doi.org/10.1109/educon.2018.8363340openalex-snapshot
MOOC dropout prediction using machine learning techniques: Review and research challenges
inferredcites →https://doi.org/10.1109/eitt.2019.00025openalex-snapshot
Deep Learning for Dropout Prediction in MOOCs
inferredcites →https://doi.org/10.1109/fcc.2009.68openalex-snapshot
Collaborative Filtering Based on Demographic Attribute Vector
inferredcites →https://doi.org/10.1109/icalt.2018.00052openalex-snapshot
A Time Series Classification Method for Behaviour-Based Dropout Prediction
inferredcites →https://doi.org/10.1109/iccse.2016.7581554openalex-snapshot
Machine learning application in MOOCs: Dropout prediction
inferredcites →https://doi.org/10.1109/icdmw.2015.174openalex-snapshot
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727598openalex-snapshot
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning
inferredcites →https://doi.org/10.1109/ijcnn.2017.7965922openalex-snapshot
Machine learning approaches to predict learning outcomes in Massive open online courses
inferredcites →https://doi.org/10.1109/tlt.2016.2633268openalex-snapshot
How Learners’ Interactions Sustain Engagement: A MOOC Case Study
inferredcites →https://doi.org/10.1145/2556325.2567879openalex-snapshot
Social factors that contribute to attrition in MOOCs
inferredcites →https://doi.org/10.1145/2724660.2724677openalex-snapshot
Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses
inferredcites →https://doi.org/10.1145/2724660.2724680openalex-snapshot
Attrition and Achievement Gaps in Online Learning
inferredcites →https://doi.org/10.1145/2835776.2835842openalex-snapshot
Modeling and Predicting Learning Behavior in MOOCs
inferredcites →https://doi.org/10.1145/2883851.2883931openalex-snapshot
Combining click-stream data with NLP tools to better understand MOOC completion
inferredcites →https://doi.org/10.1145/2883851.2883932openalex-snapshot
Forecasting student achievement in MOOCs with natural language processing
inferredcites →https://doi.org/10.1145/3126973.3126990openalex-snapshot
Deep Model for Dropout Prediction in MOOCs
inferredcites →https://doi.org/10.1155/2019/8404653openalex-snapshot
MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine
inferredcites →https://doi.org/10.1177/0165551515569651openalex-snapshot
A user-profile-based friendship recommendation solution in social networks
inferredcites →https://doi.org/10.1177/0273475303257762openalex-snapshot
Virtual Communities and the Assessment of Online Marketing Education
inferredcites →https://doi.org/10.1177/0273475307302016openalex-snapshot
The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model
inferredcites →https://doi.org/10.1177/0735633118757015openalex-snapshot
Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention
inferredcites →https://doi.org/10.12783/dtssehs/meit2017/12893openalex-snapshot
Finding out Reasons for Low Completion in MOOC Environment: An Explicable Approach Using Hybrid Data Mining Methods
inferredcites →https://doi.org/10.13140/2.1.5072.8320openalex-snapshot
MOOCs and Open Education: Implications for Higher Education
inferredcites →https://doi.org/10.13140/rg.2.1.2402.0009openalex-snapshot
Dropout Rates of Massive Open Online Courses: Behavioural Patterns
inferredcites →https://doi.org/10.1609/aaai.v29i1.9471openalex-snapshot
Identifying At-Risk Students in Massive Open Online Courses
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301517openalex-snapshot
Understanding Dropouts in MOOCs
inferredcites →https://doi.org/10.17718/tojde.727976openalex-snapshot
A Machine Learning Based Approach to Enhance Mooc Users’ Classification
inferredcites →https://doi.org/10.19173/irrodl.v16i3.2112openalex-snapshot
Massive open online course completion rates revisited: Assessment, length and attrition
inferredcites →https://doi.org/10.21100/compass.v10i1.371openalex-snapshot
The MOOC Revolution – massive open online courses: the answer to problems facing education or an experiment that could destroy centuries of tradition.
inferredcites →https://doi.org/10.2139/ssrn.2611750openalex-snapshot
Beyond Prediction: First Steps Toward Automatic Intervention in MOOC Student Stopout
inferredcites →https://doi.org/10.22318/cscl2013.2.42openalex-snapshot
The MOOC as Distributed Intelligence: Dimensions of a Framework & Evaluation of MOOCs
inferredcites →https://doi.org/10.25405/ncl.34464927openalex-snapshot
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses
inferredcites →https://doi.org/10.26599/tst.2018.9010110openalex-snapshot
Course drop-out prediction on MOOC platform via clustering and tensor completion
inferredcites →https://doi.org/10.26599/tst.2019.9010013openalex-snapshot
Consideration of the local correlation of learning behaviors to predict dropouts from MOOCs
inferredcites →https://doi.org/10.3115/1220835.1220855openalex-snapshot
Effective self-training for parsing
inferredcites →https://doi.org/10.3115/v1/w14-4110openalex-snapshot
Predicting Attrition Along the Way: The UIUC Model
inferredcites →https://doi.org/10.3115/v1/w14-4111openalex-snapshot
Predicting MOOC Dropout over Weeks Using Machine Learning Methods
inferredcites →https://doi.org/10.4135/9781452244174openalex-snapshot
Online Teaching in the Digital Age
inferredcites →https://doi.org/10.48550/arxiv.1408.3382openalex-snapshot
Likely to stop? Predicting Stopout in Massive Open Online Courses
inferredcites →https://doi.org/10.5580/1f21openalex-snapshot
A Brief Guide To Understanding MOOCs
inferredcites →https://doi.org/10.6018/red/50/2openalex-snapshot
MOOCs as disruptive technologies: strategies for enhancing the learner experience and quality of MOOCs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4651870openalex-extracted
Forecasting Goal-Oriented Activities: A Deep Learning Approach Leveraging Cross-Activity Relationships
inferred← citeshttps://doi.org/10.1007/978-3-031-11644-5_21openalex-snapshot
Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data
inferred← citeshttps://doi.org/10.1007/978-3-031-44146-2_35openalex-snapshot
Meta-features Based Architecture for the Automatic Selection of Prediction Models for MOOCs
inferred← citeshttps://doi.org/10.1007/978-3-031-96231-8_22openalex-snapshot
Semi-supervised Learning for Early Certification Prediction in MOOCs
inferred← citeshttps://doi.org/10.1007/978-3-032-30511-4_10openalex-snapshot
Unified Fairness-Aware Semi-supervised Learning: A Comparative Study on MBA and OULAD
inferred← citeshttps://doi.org/10.1007/978-981-99-8184-7_31openalex-snapshot
MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
inferred← citeshttps://doi.org/10.1007/s10639-022-11536-0openalex-snapshot
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
inferred← citeshttps://doi.org/10.1007/s10639-023-11954-8openalex-snapshot
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study
inferred← citeshttps://doi.org/10.1007/s44366-024-0019-6openalex-snapshot
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
inferred← citeshttps://doi.org/10.1063/5.0151451openalex-snapshot
A novel evaluation of e-learning with anensemble method for multilabel classification
inferred← citeshttps://doi.org/10.1080/10494820.2022.2124425openalex-snapshot
A systematic review for MOOC dropout prediction from the perspective of machine learning
inferred← citeshttps://doi.org/10.1080/10494820.2023.2300000openalex-snapshot
Early prediction of MOOC dropout in self-paced students using deep learning
inferred← citeshttps://doi.org/10.1080/14703297.2023.2200753openalex-snapshot
Understanding high dropout rates in MOOCs – a qualitative case study from Pakistan
inferred← citeshttps://doi.org/10.1108/lht-06-2022-0306openalex-snapshot
Factors of dropout from MOOCs: a bibliometric review
inferred← citeshttps://doi.org/10.1109/icrami64946.2025.11472636openalex-snapshot
Student Dropout Prediction: A Novel Hard Task Approach to Identify Ambiguous-Risk Students
inferred← citeshttps://doi.org/10.1109/rita.2025.3566095openalex-snapshot
An Investigation Into Dropout Indicators in Secondary Technical Education Using Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1109/tlt.2023.3267275openalex-snapshot
A Real-Time Predictive Model for Identifying Course Dropout in Online Higher Education
inferred← citeshttps://doi.org/10.1111/jcal.70058openalex-snapshot
Applications of Machine Learning for at‐Risk Student Prediction in Online Education: A 10‐Year Systematic Review of Literature
inferred← citeshttps://doi.org/10.1145/3576050.3576146openalex-snapshot
Cluster-Based Performance of Student Dropout Prediction as a Solution for Large Scale Models in a Moodle LMS
inferred← citeshttps://doi.org/10.1177/07356331211038168openalex-snapshot
An Interpretable Pipeline for Identifying At-Risk Students
inferred← citeshttps://doi.org/10.1186/s41239-022-00371-5openalex-snapshot
An early warning system to identify and intervene online dropout learners
inferred← citeshttps://doi.org/10.12962/j23373539.v13i1.129115openalex-snapshot
Implementasi Prediksi Siswa Dropout pada MOOC Menggunakan Metode Stacking Super Learner dalam Lingkungan Komputasi Berkinerja Tinggi
inferred← citeshttps://doi.org/10.15388/omee.2023.14.91openalex-snapshot
MOOCs: The Factors Impacting Learners’ Continuance Intention, the Intention to Complete or Cancel a Course
inferred← citeshttps://doi.org/10.17730/1938-3525-82.1.36openalex-snapshot
Living Toward a New Way of Thinking: Re-thinking Introduction to Anthropology Classes by Re-building the Learning Management System
inferred← citeshttps://doi.org/10.19173/irrodl.v25i1.7544openalex-snapshot
Towards Quality Assurance in MOOCs: A Comprehensive Review and Micro-Level Framework
inferred← citeshttps://doi.org/10.19173/irrodl.v25i3.7756openalex-snapshot
The Use of Deep Learning in Open Learning: A Systematic Review (2019 to 2023)
inferred← citeshttps://doi.org/10.20965/jaciii.2025.p0337openalex-snapshot
Design of a Distance Learning Supervision System Based on Time-Series Data of Learning Behaviors
inferred← citeshttps://doi.org/10.31637/epsir-2025-843openalex-snapshot
Alumnado subrepresentado e inteligencia artificial
inferred← citeshttps://doi.org/10.31992/0869-3617-2023-32-10-133-150openalex-snapshot
Online Education after the Pandemic: Student Problems and Opportunities Research Using Big Data Tools
inferred← citeshttps://doi.org/10.33093/jiwe.2023.2.2.3openalex-snapshot
Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM
inferred← citeshttps://doi.org/10.3389/fdata.2021.811840openalex-snapshot
Educational Anomaly Analytics: Features, Methods, and Challenges
inferred← citeshttps://doi.org/10.3390/app152212025openalex-snapshot
Comparative Analysis of Self-Labeled Algorithms for Predicting MOOC Dropout: A Case Study
inferred← citeshttps://doi.org/10.3390/educsci11050211openalex-snapshot
Some Web-Based Experiences from Flipped Classroom Techniques in AEC Modules during the COVID-19 Lockdown
inferred← citeshttps://doi.org/10.3390/mti9010003openalex-snapshot
A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms
inferred← citeshttps://doi.org/10.34044/j.kjss.2022.43.2.18openalex-snapshot
Exploring the factors influencing users’ satisfaction and continuance intention of MOOCs in China
inferred← citeshttps://doi.org/10.4000/dms.8739openalex-snapshot
Élaboration d’une échelle de mesure de la motivation dans un dispositif de cours en ligne ouvert et massif (EMOC-CLOM) en contexte francophone
inferred← citeshttps://doi.org/10.5753/rbie.2023.3594openalex-snapshot
A utilização de Metodologias Ativas com suporte de Mineração de Dados Educacionais e Learning Analytics para a mitigação da evasão em EaD: um mapeamento sistemático da literatura
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.