Artificial intelligence applications in K-12 education: A systematic literature review

M Zafari, JS Bazargani, A Sadeghi-Niaraki… - Ieee …, 2022 - ieeexplore.ieee.org
Education is a vital part of the development of society and it is changing over time in terms of
methods, content, concepts, and models. Recently, it has been increasingly prevalent to …

Student engagement in adolescence: A scoping review of longitudinal studies 2010–2020

K Salmela‐Aro, X Tang, J Symonds… - Journal of Research …, 2021 - Wiley Online Library
We systematically mapped and analyzed the longitudinal research on adolescent student
engagement published during 2010–2020. A total of 104 studies of 104,304 adolescents …

The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review

H Alwahaby, M Cukurova, Z Papamitsiou… - The multimodal learning …, 2022 - Springer
There is a growing interest in the research and use of multimodal data in learning analytics.
This paper presents a systematic literature review of multimodal learning analytics (MMLA) …

Positive artificial intelligence in education (P-AIED): A roadmap

II Bittencourt, G Chalco, J Santos, S Fernandes… - International Journal of …, 2023 - Springer
The unprecedented global movement of school education to find technological and
intelligent solutions to keep the learning ecosystem working was not enough to recover the …

[PDF][PDF] Blockchain and IoT technology in transformation of education sector

P Agarwal, MI Sheikh, AJ Obaid - 2021 - ntnuopen.ntnu.no
Technology has impacted every field of life, and Education sector is no exception. It has
seen seismic changes off-late. The traditional classroom teaching-learning process involved …

Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals

L Zhao, M Li, Z He, S Ye, H Qin, X Zhu, Z Dai - Measurement, 2022 - Elsevier
Fatigue could lead to low efficiency and even serious disaster. In the educational field,
detecting fatigue could help adjust teaching strategies accordingly when a student is …

Wearable sensors for learning enhancement in higher education

S Khosravi, SG Bailey, H Parvizi, R Ghannam - Sensors, 2022 - mdpi.com
Wearable sensors have traditionally been used to measure and monitor vital human signs
for well-being and healthcare applications. However, there is a growing interest in using and …

Learning analytics based on wearable devices: A systematic literature review from 2011 to 2021

Z Liu, Y Ren, X Kong, S Liu - Journal of Educational …, 2022 - journals.sagepub.com
Wearable devices are an emerging technological tool in the field of learning analytics. With
the help of wearable technologies, an increasing number of scholars have a strong interest …

Interaction recognition and intervention based on context feature fusion of learning behaviors in interactive learning environments

X Xia - Interactive Learning Environments, 2023 - Taylor & Francis
Interactive learning environments can generate massive learning behavior data and the
support of learning behavior big data can ensure the completeness of data analysis and …

A learning analytics approach to monitoring the quality of online one-to-one tutoring

M Cukurova, M Khan-Galaria… - Journal of Learning …, 2022 - learning-analytics.info
One-to-one online tutoring provided by human tutors can improve students' learning
outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this …