Multimodal data capabilities for learning: What can multimodal data tell us about learning?
K Sharma, M Giannakos - British Journal of Educational …, 2020 - Wiley Online Library
Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …
source of quantitative data. This study presents the outcomes of a systematic literature …
[HTML][HTML] Massive open online course evaluation methods: Systematic review
Background Massive open online courses (MOOCs) have the potential to make a broader
educational impact because many learners undertake these courses. Despite their reach …
educational impact because many learners undertake these courses. Despite their reach …
Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data
The pedagogical modelling of everyday classroom practice is an interesting kind of
evidence, both for educational research and teachers' own professional development. This …
evidence, both for educational research and teachers' own professional development. This …
Towards portability of models for predicting students' final performance in university courses starting from moodle logs
Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. This section is not mandatory. Abstract …
application or a potential application of the work. This section is not mandatory. Abstract …
Generalizing predictive models of admission test success based on online interactions
To start medical or dentistry studies in Flanders, prospective students need to pass a central
admission test. A blended program with four Small Private Online Courses (SPOCs) was …
admission test. A blended program with four Small Private Online Courses (SPOCs) was …
Classifying MOOC forum posts using corpora semantic similarities: a study on transferability across different courses
Abstract Information overload in MOOC discussion forums is a major problem that hinders
the effectiveness of learner facilitation by the course staff. To address this issue, supervised …
the effectiveness of learner facilitation by the course staff. To address this issue, supervised …
Designing a transferable predictive model for online learning using a bayesian updating approach
Predictive modeling in online education is a popular topic in learning analytics research and
practice. This study proposes a novel predictive modeling method to improve model …
practice. This study proposes a novel predictive modeling method to improve model …
Transferable student performance modeling for intelligent tutoring systems
R Schmucker, TM Mitchell - arXiv preprint arXiv:2202.03980, 2022 - arxiv.org
Millions of learners worldwide are now using intelligent tutoring systems (ITSs). At their core,
ITSs rely on machine learning algorithms to track each user's changing performance level …
ITSs rely on machine learning algorithms to track each user's changing performance level …
Can Typical Behaviors Identified in MOOCs Be Discovered in Other Courses?.
TS An, C Krauss, A Merceron - International Educational Data Mining Society, 2017 - ERIC
The emergence of Massive Open Online Courses (MOOCs) has enabled new research to
analyze typical behaviors of learners. In this paper, we investigate whether this research is …
analyze typical behaviors of learners. In this paper, we investigate whether this research is …
Comparative study of two different MOOC forums posts classifiers: analysis and generalizability issues
Massive Open Online Courses (MOOCs) offer a wide range of opportunities for learning.
Their growing popularity has resulted in a large amount of data being available for learning …
Their growing popularity has resulted in a large amount of data being available for learning …