Faculty
Science
Supervisor Name
Mi Song Kim
Keywords
topic modeling, education, artificial intelligence, machine learning
Description
Given the growing recognition of the role of teachers as agents in 21st century learning environments, this proposed study builds on our work on ‘Teacher Design Knowledge’ (TDK) as critical capabilities for teachers in designing and implementing innovative curriculum, pedagogy, and technology through researcher-practitioner collaboration (SSHRC Insight Grant 2017-2024, Kim, M. S., PI). As one of TDK competencies, teacher data literacies (TDL), the ability to derive meaningful information from multimodal data (e.g., drawings, 3D modeling, gaze, gestures, emotions) in student learning, is a relatively new concept for teachers in contexts of cultural and linguistic diversity. Although the COVID-19 pandemic has accelerated digital transformation of education, most research methodological tools in data literacies have been still predominantly focusing on pre-collected datasets of written texts. Educational researchers have increasingly called for adapting research methodologies to analyze real-world, ecological, and multimodal datasets from culturally and linguistically diverse (CLD) students. There has been no consensus in research methods in multimodal data of CLD students. To respond to these challenges, this study utilizes a topic modeling approach TowaRds Automated aNalySis of research Methods In Teacher daTa Literacies ('TRANSMITTAL').
Acknowledgements
Thank you to Dr. Kim, the Western USRI program, and the Faculty of Education for their support.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Document Type
Paper
Included in
Topic Modeling
Given the growing recognition of the role of teachers as agents in 21st century learning environments, this proposed study builds on our work on ‘Teacher Design Knowledge’ (TDK) as critical capabilities for teachers in designing and implementing innovative curriculum, pedagogy, and technology through researcher-practitioner collaboration (SSHRC Insight Grant 2017-2024, Kim, M. S., PI). As one of TDK competencies, teacher data literacies (TDL), the ability to derive meaningful information from multimodal data (e.g., drawings, 3D modeling, gaze, gestures, emotions) in student learning, is a relatively new concept for teachers in contexts of cultural and linguistic diversity. Although the COVID-19 pandemic has accelerated digital transformation of education, most research methodological tools in data literacies have been still predominantly focusing on pre-collected datasets of written texts. Educational researchers have increasingly called for adapting research methodologies to analyze real-world, ecological, and multimodal datasets from culturally and linguistically diverse (CLD) students. There has been no consensus in research methods in multimodal data of CLD students. To respond to these challenges, this study utilizes a topic modeling approach TowaRds Automated aNalySis of research Methods In Teacher daTa Literacies ('TRANSMITTAL').