Title of Research Output

Topic Modeling

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

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Document Type

Paper

Included in

Education Commons

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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').

 

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