Author(s)

Songcao Hou ¹

Affiliation(s)

¹ School of Modern Information Industry, Guangzhou College of Commerce, Guangzhou, China

Corresponding Author

Songcao Hou

ABSTRACT

In the context of smart education, the singularity and hysteresis of traditional learning analysis methods have become a bottleneck hindering the improvement of teaching quality. To address this issue, this study takes the Data Structures course as a practical vehicle to construct a multimodal learning analysis model based on the smart classroom. This model systematically integrates five-dimensional data—namely, students' class performance, lab results, attendance, task completion, and chapter quizzes—to achieve precise characterization of the learning process and outcomes. Through the correlation analysis of multimodal data, this study can not only dynamically diagnose knowledge weaknesses at both group and individual levels but also reveal the intrinsic connections between learning behaviors and academic performance, thereby generating personalized learning diagnostic reports. Ultimately, based on data-driven insights, the study proposes targeted teaching optimization strategies, aiming to achieve a shift from "experience-driven" to "data-driven" precision teaching and to provide a replicable pathway for enhancing the teaching quality of engineering courses.

KEYWORDS

Learning Analysis, Teaching Optimization, Smart Classroom, Data Structures

CITE THIS PAPER

Songcao Hou, A Multimodal Learning Analytics and Instructional Optimization Study for the Data Structures Course in Smart Classrooms. Curriculum and Teaching Methodology (2025) Vol. 8: 124-131. DOI: http://dx.doi.org/10.23977/curtm.2025.080716.

REFERENCES

[1] Yang J ,He J ,Li C .Learning Situation Analysis and Teaching Strategy Optimization based on Big Data[J].Region - Educational Research and Reviews,2025,7(2):DOI:10.32629/RERR.V7I2.3462.
[2] Li ,Jian .A Study of Learning Situation Analysis and Precision Teaching Strategies in Ideological and Political Education Assisted by Artificial Intelligence[J].Education Research and Innovation,2025,1(5):DOI:10.62639/ SSPERI05.20250105.
[3] Feng Y. Research on the Application of Blended Learning Model in Higher Vocational Teaching and Learning[J].Advances in Vocational and Technical Education,2023,5(11):DOI:10.23977/AVTE.2023.051106.

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education