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) …

This methodological-theoretical synergy provides an integrative framework of learning
analytics through the development of the human-and-machine symbiotic reinforcement …

Nowadays, the evaluation of students' learning effect in colleges and universities mainly rely
on manual management and supervision, which is inefficient and inaccurate. What's worse …

Recognizing human activities from multi-channel time series data collected from wearable
sensors has become an important practical application of machine learning. A serious …

The dissimilarity between real and virtual environments is getting closer rapidly. More
people are working on computers to accomplish a variety of tasks. Tasks like shopping …

The popularity of E-learning has grown significantly due to the continuous growth of Internet
usage and related technologies. However, the lack of face-to-face interaction in E-Learning …

Identifying emotions from human beings is the most challenging area in artificial intelligence.
There are different modules used to identify emotions like speech, face, EEG, Physiological …

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) …

E-learning is one of the modes of learning which is gaining popularity nowadays. To analyze
the effectiveness of the E-class, there are many ways like feedback at the end of the lecture …

Due to the spread of COVID-19, the online lecture has become more prevalent. However, it
was found that a lot of students and professors are experiencing lack of communication. This …