Note-Taking Evaluation Using Network Illustrations Based on Term Co-occurrence in a Blended Learning Environment

Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hideaki

doi:10.1007/978-981-16-6104-4_4

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Many scholars have studied it. The discourse dilemma in the classroom teaching of political thought courses in higher education institutions was brought up by Nakayama et al Political thought teachers' discourses are rather dated, lack vividness, the theory is disconnected from reality, and it is not persuasive or appealing [9]. The integrated use of AI in education was investigated by Cuevas et al [10].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment

2022

Journal of Environmental and Public Health

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The importance of political thought courses in higher education institutions is directly related to the caliber and extent of staff development. This essay carefully examines and discusses the integration of network resources for political thought courses in higher education institutions from the standpoint of collaborative education. This article analyses the current state of the integration of network resources into higher education institutions’ political thought curricula. The general DM process and DM-related technologies are studied concurrently. The mining model based on the study of political thought course is chosen in conjunction with this course. Additionally, a teaching resource integration method based on the idea of collaborative learning is developed, including the development of an Arduino device identification program based on NN and an Arduino device learning resource base. In accordance with the design of the network resource integration method used in the political thought course, the article evaluates the model’s performance in a number of different areas. The proposed algorithm’s accuracy is 95.11 percent, according to experiments. The recall rate of this algorithm can also go as high as 93.94 percent. In order to further reform teaching and raise the standard of learning, this study can offer students learning direction.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment

2022

Journal of Environmental and Public Health

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“…To detect key phrases such as conceptual terminology, term connections or co-occurring terms were summarized. Concurrent term connections are called as 2-gram (Nakayama, Mutsuura, & Yamamoto, 2014b, 2016a, 2016b. For example, noun transitions of terms such as A-B and B-C were extracted from a text A-B-C.…”

Section: Lexical Analysis For Contents Of Notes Takenmentioning

confidence: 99%

The Possibility of Predicting Learning Performance Using Features of Note-Taking Activities and Instructions in a Blended Learning Environment

Nakayama¹,

Mutsuura²,

Yamamoto³

2021

Behaviormetrics: Quantitative Approaches to Human Behavior

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Note-Taking Evaluation Using Network Illustrations Based on Term Co-occurrence in a Blended Learning Environment

Cited by 2 publications

References 11 publications

[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment

[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment

The Possibility of Predicting Learning Performance Using Features of Note-Taking Activities and Instructions in a Blended Learning Environment

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