Internet of Things for sustainable smart education: An overview
K Zeeshan, T Hämäläinen, P Neittaanmäki - Sustainability, 2022 - mdpi.com
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
IG Ndukwe, BK Daniel - International Journal of Educational Technology in …, 2020 - Springer
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
AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
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
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 …
Uncovering insights from big data: change point detection of classroom engagement
K Nakamura, M Ishihara, I Horikoshi… - Smart Learning …, 2024 - Springer
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 …
[PDF][PDF] Multimodal Learning Analytics' Past, Present, and Potential Futures.
M Worsley, R Martinez-Maldonado - CrossMMLA@ LAK, 2018 - ceur-ws.org
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 …
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 …
An applicable predictive maintenance framework for the absence of run-to-failure data
D Kim, S Lee, D Kim - Applied Sciences, 2021 - mdpi.com
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 …
Smart schoolhouse—Designing IoT study kits for project-based learning in STEM subjects
STEM (Science, Technology, Engineering and Math) subjects are of critical importance to
students but too few students are genuinely interested in them. There is also a common …
students but too few students are genuinely interested in them. There is also a common …