Study on Learner Comprehensive Evaluation Model Driven by Multi-Source Process Data

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dc.contributor.authorHong, Hui
dc.contributor.authorViriyavejakul, Chantana
dc.date.accessioned2026-08-06T10:39:58Z
dc.date.available2026-08-06T10:39:58Z
dc.date.issued2023-01-01
dc.description.abstractIt is of great significance to develop an effective multimedia network education platform. This paper aims to build an analysis and evaluation model of online learning behavior based on formative evaluation. The system is divided into three modules: behavior acquisition, behavior statistical analysis and learning analysis. The study of online learning behavior is a part of online education research. It is an important basis for designing adaptive network learning platform and learning resources. By learning the characteristics of the analyst process, such as time management, interference control, attention retention and content processing strategies. The research shows that based on the analysis of common quantitative parameters of online learning behavior, the effectiveness of the model in supporting students’ reading evaluation and reflection has been verified. People have a clearer and deeper understanding of online learning behavior. This study is an effective evaluation of the development of effective educational resources, the organization of teaching and teaching courses, and the effective evaluation of learning resources and learners.
dc.identifier.citationRisti Revista Iberica De Sistemas E Tecnologias De Informacao, 2023(E55), 414-427, 2023
dc.identifier.issn16469895
dc.identifier.other2-s2.0-85162793207
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14020
dc.sourceRisti Revista Iberica De Sistemas E Tecnologias De Informacao
dc.subjectEvaluation Model
dc.subjectLearning Analysis
dc.subjectMulti-Source Process Data Drive
dc.subjectNetwork Learning
dc.titleStudy on Learner Comprehensive Evaluation Model Driven by Multi-Source Process Data
dc.typeArticle

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