journal article·2022-12-23Open access

A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era

Wenyan Wu, Qintai Hu, Guang Feng, Yaxuan He

Applied Sciences· Volume 13· Issue 1

Abstract

The development of intelligent information technology provides an effective way for cross-modal learning analytics and promotes the realization of procedural and scientific educational evaluation. To accurately capture the emotional changes of learners and make an accurate evaluation of the learning process, this paper takes the evaluation of learners’ emotional status in the behavior process as an example to construct an intelligent analysis model of learners’ emotional status in the behavior process, which provides effective technical solutions for the construction of cross-modal learning analytics. The effectiveness and superiority of the proposed method are verified by experiments. Through the analysis of learners’ cross-mode learning behavior, it innovates the evaluation method of classroom teaching in the intelligent age and improves the quality of modern teaching.
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Research context

OpenAlex topics: Online Learning and Analytics · Ideological and Political Education · Educational Technology and Pedagogy

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China

Center of Campus Network and Modern Educational Technology, Guangdong University of Technology, Guangzhou 510006, China

Funding

National Natural Science Foundation of China

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