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Improving Experienced Mathematics Teachers’ Classroom Talk: A Visual Learning Analytics Approach to Professional Development

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  • Chung Kwan Lo

    (Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong 999077, China)

  • Gaowei Chen

    (Faculty of Education, The University of Hong Kong, Hong Kong 999077, China)

Abstract

The professional development of experienced teachers has received considerably less attention than that of novice teachers. This study focuses on four experienced secondary mathematics teachers in Shanghai, China, with two participating in a year-long professional development program (treatment teachers) and the other two received conventional knowledge-based professional development (comparison teachers). The program introduced productive classroom talk skills which can facilitate teachers’ formative assessment of student learning during class. To encourage teachers to reflect on their classroom discourse when reviewing recordings of their teaching, we used visual learning analytics with the treatment teachers and theorized the use of this technology with activity theory. After completing the program, the treatment teachers were better able to use productive talk moves to elicit student responses and to provide timely formative feedback accordingly. Specifically, the percentage of word contributions in lessons from students and the length of their responses increased noticeably. Qualitative findings suggest that the use of visual learning analytics mediated the treatment teachers and improved classroom discourse. Based on these findings and activity theory, we provide recommendations for future use of visual learning analytics to improve teachers’ classroom talk and designing professional development activities for experienced teachers.

Suggested Citation

  • Chung Kwan Lo & Gaowei Chen, 2021. "Improving Experienced Mathematics Teachers’ Classroom Talk: A Visual Learning Analytics Approach to Professional Development," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8610-:d:606898
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    References listed on IDEAS

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    1. María Soledad Ramírez-Montoya & Lucy Andrade-Vargas & Diana Rivera-Rogel & May Portuguez-Castro, 2021. "Trends for the Future of Education Programs for Professional Development," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    2. Rodrigo Martín-García & Carmen López-Martín & Raquel Arguedas-Sanz, 2020. "Collaborative Learning Communities for Sustainable Employment through Visual Tools," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    3. Younyoung Choi & Young Il Cho, 2020. "Learning Analytics Using Social Network Analysis and Bayesian Network Analysis in Sustainable Computer-Based Formative Assessment System," Sustainability, MDPI, vol. 12(19), pages 1-13, September.
    4. Esther Roca-Campos & Ana Inés Renta-Davids & Fernando Marhuenda-Fluixá & Ramón Flecha, 2021. "Educational Impact Evaluation of Professional Development of In-Service Teachers: The Case of the Dialogic Pedagogical Gatherings at Valencia “On Giants’ Shoulders”," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    5. Merce Garcia-Mila & Andrea Miralda-Banda & Jose Luna & Ana Remesal & Núria Castells & Sandra Gilabert, 2021. "Change in Classroom Dialogicity to Promote Cultural Literacy across Educational Levels," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
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    Cited by:

    1. Jason D. Johnson & Linda Smail & Darryl Corey & Adeeb M. Jarrah, 2022. "Using Bayesian Networks to Provide Educational Implications: Mobile Learning and Ethnomathematics to Improve Sustainability in Mathematics Education," Sustainability, MDPI, vol. 14(10), pages 1-20, May.

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