On the public citation graph

Grade Prediction in Blended Learning Using Multisource Data

0 signed · 52 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/cae.22179openalex-snapshot
Mining opinions from instructor evaluation reviews: A deep learning approach
inferredcites →https://doi.org/10.1002/cae.22252openalex-snapshot
Weighted word embeddings and clustering‐based identification of question topics in MOOC discussion forum posts
inferredcites →https://doi.org/10.1002/cae.22310openalex-snapshot
Improving MOOC learning performance in China: An analysis of factors from the TAM and TPB
inferredcites →https://doi.org/10.1002/cae.22316openalex-snapshot
Improving learner engagement in MOOCs using a learning intervention system: A research study in engineering education
inferredcites →https://doi.org/10.1002/cae.22320openalex-snapshot
Construction and application of SPOC‐based flipped classroom teaching mode in Installation Engineering Cost curriculum based on OBE concept
inferredcites →https://doi.org/10.1002/cae.22328openalex-snapshot
Visual analytics of video‐clickstream data and prediction of learners' performance using deep learning models in MOOCs' courses
inferredcites →https://doi.org/10.1002/cae.22334openalex-snapshot
Reflections on the last decade of MOOC research
inferredcites →https://doi.org/10.1002/cpe.5909openalex-snapshot
Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
inferredcites →https://doi.org/10.1007/s00521-018-03983-zopenalex-snapshot
Big data analytics for MOOC video watching behavior based on Spark
inferredcites →https://doi.org/10.1007/s10044-003-0195-9openalex-snapshot
Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines
inferredcites →https://doi.org/10.1007/s10462-018-9620-8openalex-snapshot
Using machine learning to predict student difficulties from learning session data
inferredcites →https://doi.org/10.1007/s11257-018-9203-zopenalex-snapshot
Student success prediction in MOOCs
inferredcites →https://doi.org/10.1007/s11280-018-0559-0openalex-snapshot
Providing personalized learning guidance in MOOCs by multi-source data analysis
inferredcites →https://doi.org/10.1016/j.compedu.2019.103724openalex-snapshot
What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
inferredcites →https://doi.org/10.1016/j.eswa.2019.06.056openalex-snapshot
Automatic clustering by multi-objective genetic algorithm with numeric and categorical features
inferredcites →https://doi.org/10.1016/j.inffus.2016.11.004openalex-snapshot
NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem
inferredcites →https://doi.org/10.1016/j.inffus.2016.11.009openalex-snapshot
One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies
inferredcites →https://doi.org/10.1016/j.ins.2020.05.088openalex-snapshot
A ternary bitwise calculator based genetic algorithm for improving error correcting output codes
inferredcites →https://doi.org/10.1016/j.patcog.2013.03.014openalex-snapshot
A genetic-based subspace analysis method for improving Error-Correcting Output Coding
inferredcites →https://doi.org/10.1016/j.patcog.2019.01.047openalex-snapshot
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis
inferredcites →https://doi.org/10.1016/j.swevo.2020.100709openalex-snapshot
A novel multi-objective genetic algorithm based error correcting output codes
inferredcites →https://doi.org/10.1023/a:1013637720281openalex-snapshot
On the Learnability and Design of Output Codes for Multiclass Problems
inferredcites →https://doi.org/10.1080/08839514.2018.1508839openalex-snapshot
Prediction of Online Students Performance by Means of Genetic Programming
inferredcites →https://doi.org/10.1088/1742-6596/1860/1/012002openalex-snapshot
Sentiment analysis in higher education: a systematic mapping review
inferredcites →https://doi.org/10.1109/4235.887233openalex-snapshot
Designing classifier fusion systems by genetic algorithms
inferredcites →https://doi.org/10.1109/access.2020.2994561openalex-snapshot
Big Educational Data & Analytics: Survey, Architecture and Challenges
inferredcites →https://doi.org/10.1109/jstsp.2017.2692560openalex-snapshot
A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs
inferredcites →https://doi.org/10.1109/te.2020.3008751openalex-snapshot
Student Performance Prediction Based on Blended Learning
inferredcites →https://doi.org/10.1109/tsp.2015.2496278openalex-snapshot
Predicting Grades
inferredcites →https://doi.org/10.1109/tvcg.2018.2872961openalex-snapshot
ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses
inferredcites →https://doi.org/10.1145/2835776.2835842openalex-snapshot
Modeling and Predicting Learning Behavior in MOOCs
inferredcites →https://doi.org/10.1155/2016/2174613openalex-snapshot
Motivation Classification and Grade Prediction for MOOCs Learners
inferredcites →https://doi.org/10.1155/2020/7140797openalex-snapshot
Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree
inferredcites →https://doi.org/10.1613/jair.105openalex-snapshot
Solving Multiclass Learning Problems via Error-Correcting Output Codes
inferredcites →https://doi.org/10.17694/bajece.419538openalex-snapshot
Sentiment Analysis on Twitter Based on Ensemble of Psychological and Linguistic Feature Sets
inferredcites →https://doi.org/10.26599/tst.2019.9010011openalex-snapshot
Modelling the dropout patterns of MOOC learners
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/10.3390/app11010095openalex-snapshot
An Algorithm and a Tool for the Automatic Grading of MOOC Learners from Their Contributions in the Discussion Forum
inferredcites →https://doi.org/10.3390/educsci9020104openalex-snapshot
Predicting Learning Outcomes with MOOC Clickstreams

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-17601-2_35openalex-snapshot
Developing Novel Learning Spaces Through Social Media Channels for Sustainable CAD Engineering Education
inferred← citeshttps://doi.org/10.1007/978-981-96-3250-3_30openalex-snapshot
Adam Wild Horse Optimization with QRNN for Academic Performance Prediction in a Blended Learning Model
inferred← citeshttps://doi.org/10.1007/s10639-023-11740-6openalex-snapshot
ARCS approach to PTA-based programming language practice sessions: Factors influencing Programming Problem-Solving Skills
inferred← citeshttps://doi.org/10.1007/s44196-023-00395-3openalex-snapshot
Prediction of In-Class Performance Based on MFO-ATTENTION-LSTM
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e17195openalex-snapshot
Analysis of factors affecting the effectiveness of face-to-face marketing learning via TikTok, YouTube and video conferencing
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e29182openalex-snapshot
Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI
inferred← citeshttps://doi.org/10.1109/access.2022.3195531openalex-snapshot
IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining
inferred← citeshttps://doi.org/10.1109/access.2025.3533915openalex-snapshot
Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/iciscae55891.2022.9927654openalex-snapshot
A Grade Prediction Method Based on Long Short-Term Memory Network in Smart Campus
inferred← citeshttps://doi.org/10.1109/tlt.2022.3170494openalex-snapshot
Early Prediction of Students’ Final Grades in a Gamified Course
inferred← citeshttps://doi.org/10.1155/2022/3805235openalex-snapshot
Using Ensemble Learning Algorithms to Predict Student Failure and Enabling Customized Educational Paths
inferred← citeshttps://doi.org/10.3390/su14095205openalex-snapshot
Grade Prediction Modeling in Hybrid Learning Environments for Sustainable Engineering Education
inferred← citeshttps://doi.org/10.4018/979-8-3693-8382-7.ch005openalex-snapshot
Predicting Student Outcomes for Enhanced Learning Using Hybrid Machine Learning Approach
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.