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An HCI-Based Cognitive Architecture for Learning Process Observation

An HCI-Based Cognitive Architecture for Learning Process Observation

Guimin Shi, Sheng Yang, Changyong Liu, Shimin Meng, Zhiming Luo, Shaozi Li
Copyright: © 2020 |Volume: 18 |Issue: 1 |Pages: 18
ISSN: 1539-3100|EISSN: 1539-3119|EISBN13: 9781799804857|DOI: 10.4018/IJDET.2020010101
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MLA

Shi, Guimin, et al. "An HCI-Based Cognitive Architecture for Learning Process Observation." IJDET vol.18, no.1 2020: pp.1-18. http://doi.org/10.4018/IJDET.2020010101

APA

Shi, G., Yang, S., Liu, C., Meng, S., Luo, Z., & Li, S. (2020). An HCI-Based Cognitive Architecture for Learning Process Observation. International Journal of Distance Education Technologies (IJDET), 18(1), 1-18. http://doi.org/10.4018/IJDET.2020010101

Chicago

Shi, Guimin, et al. "An HCI-Based Cognitive Architecture for Learning Process Observation," International Journal of Distance Education Technologies (IJDET) 18, no.1: 1-18. http://doi.org/10.4018/IJDET.2020010101

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Abstract

In this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer interaction. In addition, the authors have selected a tree topology as the topological structure of a low-dimensional learning space to process the observations for online learning. Furthermore, the mechanism for the BSM (brain cognitive body-situation of coupling-manifold of information) the coupling morphism is presented. The principle for the coupled observation of objects in a cognitive or learning manifold is proposed. Finally, a special system for teaching and learning is programmed to observe and evaluate learning and mental arithmetic training processes. This system not only provides students with a new ergonomic learning model but also records the students' learning processes. Thus, the teachers can summarize the knowledge points automatically rather than manually.

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