Multimodal data fusion in learning analytics: A systematic review
S Mu, M Cui, X Huang - Sensors, 2020 - mdpi.com
Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …
provide an accurate understanding of learning processes. However, it is still unclear how …
How can high-frequency sensors capture collaboration? A review of the empirical links between multimodal metrics and collaborative constructs
This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …
CVPE: A computer vision approach for scalable and privacy-preserving socio-spatial, multimodal learning analytics
Capturing data on socio-spatial behaviours is essential in obtaining meaningful educational
insights into collaborative learning and teamwork in co-located learning contexts. Existing …
insights into collaborative learning and teamwork in co-located learning contexts. Existing …
A comprehensive literature review on children's databases for machine learning applications
The COVID-19 pandemic can be attributed as a main factor to accelerate the current digital
transformation and to encourage innovation and technological adoption. Consequently, the …
transformation and to encourage innovation and technological adoption. Consequently, the …
I know what you know: What hand movements reveal about domain expertise
This research investigates whether students' level of domain expertise can be detected
during authentic learning activities by analyzing their physical activity patterns. More expert …
during authentic learning activities by analyzing their physical activity patterns. More expert …
Designing for Embodied Sense-making of Mathematics: Perspectives on Directed and Spontaneous Bodily Actions
While mathematics is conventionally viewed as an abstract discipline, contemporary
perspectives on embodied cognition underscore the significance of integrating students' …
perspectives on embodied cognition underscore the significance of integrating students' …
The wonowa dataset: Investigating the transactive memory system in small group interactions
B Biancardi, L Maisonnave-Couterou… - Proceedings of the …, 2020 - dl.acm.org
We present WoNoWa, a novel multi-modal dataset of small group interactions in
collaborative tasks. The dataset is explicitly designed to elicit and to study over time a …
collaborative tasks. The dataset is explicitly designed to elicit and to study over time a …
Unsupervised learning in accordance with new aspects of artificial intelligence
Artificial Intelligence (AI) has evolved and there are many new generations that are taking
place for the management of data and intelligence learning. In this chapter, we will discuss …
place for the management of data and intelligence learning. In this chapter, we will discuss …
[PDF][PDF] Impact of Attention-based Video Strategy on Performance
X Ye - 2024 - research.tue.nl
Enhancing student attention in online learning poses a significant challenge, prompting the
exploration of various strategies aimed at improving engagement and learning outcomes …
exploration of various strategies aimed at improving engagement and learning outcomes …
音声と指差しの統合理解によるマルチモーダル幾何問題解答システムの構築
清原侃太， 西村良太， 北岡教英 - 第 82 回全国大会講演論文集, 2020 - ipsj.ixsq.nii.ac.jp
論文抄録 人が自身の意図を他人に伝えようとするとき, 様々なモダリティを使用している. **年では,
機械がこうした様々なモダリティを高精度に認識できるようになった. しかし, 主語や目的語が隠れた …
機械がこうした様々なモダリティを高精度に認識できるようになった. しかし, 主語や目的語が隠れた …