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Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
[HTML][HTML] Automatic feedback in online learning environments: A systematic literature review
Feedback is an essential component of scaffolding for learning. Feedback provides insights
into the assistance of learners in terms of achieving learning goals and improving self …
into the assistance of learners in terms of achieving learning goals and improving self …
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
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 …
From signals to knowledge: A conceptual model for multimodal learning analytics
Multimodality in learning analytics and learning science is under the spotlight. The
landscape of sensors and wearable trackers that can be used for learning support is …
landscape of sensors and wearable trackers that can be used for learning support is …
Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms
When used in K-12 classrooms, intelligent tutoring systems (ITSs) can be highly effective in
hel** students learn. However, they might be even more effective if designed to work …
hel** students learn. However, they might be even more effective if designed to work …
Teaching analytics, value and tools for teacher data literacy: A systematic and tripartite approach
Teaching Analytics (TA) is a new theoretical approach, which combines teaching expertise,
visual analytics and design-based research to support teacher's diagnostic pedagogical …
visual analytics and design-based research to support teacher's diagnostic pedagogical …
Scalability, sustainability, and ethicality of multimodal learning analytics
Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting
learners in physical learning spaces through state-of-the-art sensing technologies and …
learners in physical learning spaces through state-of-the-art sensing technologies and …
Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning
Multimodal learning analytics provides researchers new tools and techniques to capture
different types of data from complex learning activities in dynamic learning environments …
different types of data from complex learning activities in dynamic learning environments …
Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms
Intelligent tutoring systems (ITSs) are commonly designed to enhance student learning.
However, they are not typically designed to meet the needs of teachers who use them in …
However, they are not typically designed to meet the needs of teachers who use them in …
[PDF][PDF] Multimodal learning analytics-Rationale, process, examples, and direction
This chapter is an introduction to the use of multiple modalities of learning trace data to
better understand and feedback learning processes that occur both in digital and face-to …
better understand and feedback learning processes that occur both in digital and face-to …