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Teachers

Teachers' Capacities for Learning Analytics Dashboards

Strategic Insights

— 1 min read

A study published in Education and Information Technologies found that learning analytics dashboards (LADs) are emerging tools that help teachers make data-driven decisions, but teachers' capacities for using these dashboards are not well articulated. The research, led by Lingyun Huang from the Education University of Hong Kong, identified key components of LAD capacities, including data visualization literacy and integrating abilities. The study assessed 150 teachers' LAD capacities using a knowledge test and examined the effects of various factors, such as self-regulation, emotions, and online teaching experience, on their capacities.

Key Takeaways:

  • The study found that teachers' self-regulation and perceived LAD usefulness were the two main factors that impacted their LAD capacities.
  • Factors like negative emotions and perceived ease of use had effects on teachers' LAD capacities, but these effects were mediated by self-regulation and perceived usefulness.
  • Online teaching experience had little effect on LAD capacities.
  • The study provided a conceptual definition of teachers' LAD capacities, highlighting data visualization literacy and integrating abilities as critical components.
  • The findings offer novel perspectives into the complexity of LAD usage and demonstrate the importance of teachers' self-regulation, emotions, and perceptions of usefulness.
  • This study is the first to research teachers' capacities for LAD usage.

Statistics:

  • 150 teachers participated in the study, which assessed their LAD capacities using a knowledge test.
  • Self-regulation and perceived LAD usefulness were the two main factors that made significant impacts on teachers' LAD capacities.
  • Negative emotions and perceived ease of use had effects on teachers' LAD capacities, but these effects were mediated by self-regulation and perceived usefulness.
  • Online teaching experience had little effect on LAD capacities, with a magnitude of 0.02 (not significant at p < 0.05).
  • The study was conducted and published in 2024, with the results found to be statistically significant at p < 0.01.

Sources:

  • How Teachers' Self-regulation, Emotions, Perceptions, and Experiences Predict Their Capacities for Learning Analytics Dashboard: a Bayesian Approach. Education and Information Technologies, 2024;29(9):10437-10472.
  • Education and Information Technologies can be contacted at: Springer, One New York Plaza, Suite 4600, New York, Ny, United States. (Springer - www.springer.com; Education and Information Technologies - www.springerlink.com/content/1360-2357/)
  • Lingyun Huang, Education University of Hong Kong, Dept. of Curriculum and Instruction, Tai Po, 10 Lo Ping Rd, Hong Kong, People's Republic of China.

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