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[HTML][HTML] Internet of Things for sustainable smart education: An overview
In the realm of fourth-generation industrialization, there will be great demand for a skilled
workforceTo produce a skilled workforce, we need sustainable education with quality and …
workforceTo produce a skilled workforce, we need sustainable education with quality and …
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 …
Prediction of students' early dropout based on their interaction logs in online learning environment
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
A survey of machine learning approaches and techniques for student dropout prediction
N Mduma, K Kalegele, D Machuve - 2019 - dspace.nm-aist.ac.tz
School dropout is absenteeism from school for no good reason for a continuous number of
days. Addressing this challenge requires a thorough understanding of the underlying issues …
days. Addressing this challenge requires a thorough understanding of the underlying issues …
In‐memory stateful logic computing using memristors: gate, calculation, and application
Combining Boolean logic and nonvolatile memory functions, memristor‐based stateful logic
circuits can minimize data movement during the computing process to achieve futuristic in …
circuits can minimize data movement during the computing process to achieve futuristic in …
[PDF][PDF] Multimodal Learning Analytics' Past, Present, and Potential Futures.
The first workshop on Multimodal Learning Analytics took place in 2012 at the International
Conference of Multimodal Interaction in Santa Monica, California. Since then researchers …
Conference of Multimodal Interaction in Santa Monica, California. Since then researchers …
Uncovering insights from big data: change point detection of classroom engagement
Expectations of big data across various fields, including education, are increasing. However,
uncovering valuable insights from big data is like locating a needle in a haystack, and it is …
uncovering valuable insights from big data is like locating a needle in a haystack, and it is …
[HTML][HTML] An applicable predictive maintenance framework for the absence of run-to-failure data
As technology advances, the equipment becomes more complicated, and the importance of
the Prognostics and Health Management (PHM) to monitor the condition of the equipment …
the Prognostics and Health Management (PHM) to monitor the condition of the equipment …
A predictive approach based on efficient feature selection and learning algorithms' competition: Case of learners' dropout in MOOCs
MOOCs are becoming more and more involved in the pedagogical experimentation of
universities whose infrastructure does not respond to the growing mass of learners. These …
universities whose infrastructure does not respond to the growing mass of learners. These …
A machine learning-based methodology to predict learners' dropout, success or failure in MOOCs
Purpose Even if MOOCs (massive open online courses) are becoming a trend in distance
learning, they suffer from a very high rate of learners' dropout, and as a result, on average …
learning, they suffer from a very high rate of learners' dropout, and as a result, on average …