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) …

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 …

Scalability, sustainability, and ethicality of multimodal learning analytics

L Yan, L Zhao, D Gasevic… - LAK22: 12th international …, 2022 - dl.acm.org
Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting
learners in physical learning spaces through state-of-the-art sensing technologies and …

[PDF][PDF] Multimodal learning analytics-Rationale, process, examples, and direction

X Ochoa, C Lang, G Siemens, A Wise… - The handbook of …, 2022 - researchgate.net
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 …

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 …

Toward a systematic survey on wearable computing for education applications

W Gao, T Wei, H Huang, X Chen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Technology is gradually being incorporated as an integral part of education. This technology
includes the now pervasive presence of the Internet, but also the inclusion of devices that …

Student in-class behaviors detection and analysis system based on CBAM-YOLOv5

SQ Yang, YH Chen, ZY Zhang… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Analyzing the students' in-class behaviors is able to intuitively reflect their learning states,
which are important for teaching evaluations and for designing instruction. In order to …

[PDF][PDF] 多模态数据支持的课堂教学行为分析模型与实践框架

张乐乐, 顾小清 - Open Education Research, 2022 - openedu.sou.edu.cn
随着人工智能技术, 可穿戴传感设备的发展, 课堂教学多模态数据的获取和分析成为可能,
加速了课堂教学从数字化向智能化的转型升级. 本研究聚焦智能时代多模态数据支持的课堂教学 …

Analytics for supporting teaching success in higher education: A systematic review

D Ifenthaler, JYK Yau - 2022 IEEE Global Engineering …, 2022 - ieeexplore.ieee.org
Learning analytics are utilized to support learners' educational needs as well as to enhance
their study success, for example, via the use of real-time prompts, motivational dashboards …

Employing automatic content recognition for teaching methodology analysis in classroom videos

MA Rafique, F Khaskheli, MT Hassan, S Naseer… - Plos one, 2022 - journals.plos.org
A teacher plays a pivotal role in grooming a society and paves way for its social and
economic developments. Teaching is a dynamic role and demands continuous adaptation …