Real-Time Analytics and Interactive Platforms Enhance College Students’ Learning Through Smart Educational Management Systems

Smart Classrooms (SC) and Educational Management Systems (EMS) are revolutionizing Higher Education with Technology Enabled Learning. This study investigates how SC integration in EMS impacts academic performance, personalized learning, time management, student motivation and the quality of educational resources. A mixed method quasi-experimental design with purposive sampling was employed, with experimental and control groups. Quantitative data was collected using questionnaires, pre and post-testing and EMS log while qualitative data was obtain through semi-structured interviews and classroom observations. SPSS was applied in quantitative analysis; QDA Miner and VOSviewer were used for qualitative analysis. All outcomes improved significantly by 27.4 to 29.6%. The integration of SC significantly predicted academic performance (β = 0.533), personalized learning (β = 0.586), time management (β = 0.530), motivation (β = 0.515), and quality of academic resources (β = 0.528). SC integration in EMS provides students with significantly improved learning outcomes and learning experiences.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-08-24
DOI
https://doi.org/10.1080/10447318.2026.2718555
Primary Topic
E-Learning and COVID-19
Type
article
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article

Real-Time Analytics and Interactive Platforms Enhance College Students’ Learning Through Smart Educational Management Systems

Shengling Li, Shanying Huang, Yuhua Huang
International Journal of Human-Computer Interaction
E-Learning and COVID-19
article

Real-Time Analytics and Interactive Platforms Enhance College Students’ Learning Through Smart Educational Management Systems

Shengling Li, Shanying Huang, Yuhua Huang
article en

Abstract

Smart Classrooms (SC) and Educational Management Systems (EMS) are revolutionizing Higher Education with Technology Enabled Learning. This study investigates how SC integration in EMS impacts academic performance, personalized learning, time management, student motivation and the quality of educational resources. A mixed method quasi-experimental design with purposive sampling was employed, with experimental and control groups. Quantitative data was collected using questionnaires, pre and post-testing and EMS log while qualitative data was obtain through semi-structured interviews and classroom observations. SPSS was applied in quantitative analysis; QDA Miner and VOSviewer were used for qualitative analysis. All outcomes improved significantly by 27.4 to 29.6%. The integration of SC significantly predicted academic performance (β = 0.533), personalized learning (β = 0.586), time management (β = 0.530), motivation (β = 0.515), and quality of academic resources (β = 0.528). SC integration in EMS provides students with significantly improved learning outcomes and learning experiences.

International Journal of Human-Computer Interaction
Southwest University (CN), Southwest Medical University (CN), Chengdu Sport University (CN), Chongqing University of Education (CN), Jiangxi College of Applied Technology (CN)
Quality Education
Openalex Percentile: Top 2%
E-Learning and COVID-19
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