Resources
Abstract : This QE Masterclass Series is designed to help researchers in learning analytics, policy analysis, and the social sciences more generally learn this emerging research methodology. The QE Masterclass consists of two parts: a talk on “Quantitative Ethnography: Human Science in the Age of Big Data” by our special guest Prof. David Williamson Shaffer, and followed by an “Introduction to Epistemic Network Analysis” workshop. Interested parties are welcome to participate in the International Conference for Quantitative Ethnography (ICQE23) at Monash University in Melbourne Australia.
Recording
https://video.wixstatic.com/video/c68fed_0ec487d1a54042078e873e891bd14864/1080p/mp4/file.mp4
Useful resources
1.ICQE23 - Research Agenda Development (RAD)
ICQE23 in Melbourne this October is a great opportunity for you to connect with the global community of researchers using QE in their own work. The conference has free workshops included as part of the registration and has ample opportunities to get mentorship and build collaborations around using QE.
Website: https://www.icqe23.org/rads/
2. Publications about Epistemic Network Analysis (ENA)
Shaffer, D. W., Collier, W., & Ruis, A. R. (2016). A tutorial on epistemic network analysis: Analyzing the structure of connections in cognitive, social, and interaction data. Journal of Learning Analytics, 3(3), 9-45. https://doi.org/10.18608/jla.2016.33.3
Shaffer, D. (2018). Big data for thick description of deep learning. Deep learning: Multi-disciplinary approaches.
Ruis, A., Siebert-Evenstone, A., Pozen, R., Eagan, B., & Shaffer, D. W. (2019). Finding common ground: a method for measuring recent temporal context in analyses of complex, collaborative thinking. In Lund, K., Niccolai, G. P., Lavoué, E., Hmelo-Silver, C., Gweon, G., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 1 (pp. 136-143). Lyon, France: International Society of the Learning Sciences.
Arastoopour Irgens, G. & Eagan, B. (2022). Foundations and Fundamentals of Quantitative Ethnography. Copenhagen, Denmark. Fourth International Conference of Quantitative Ethnography. ICQE 2022.
Shaffer, D. W. (2014). Formatting data for Epistemic Network Analysis. Technical Report 2014-1. Games and Professional Simulations (GAPS). Technical Report Series.
Siebert-Evenstone, A. L., Irgens, G. A., Collier, W., Swiecki, Z., Ruis, A. R., & Shaffer, D. W. (2017). In search of conversational grain size: Modeling semantic structure using moving stanza windows. Journal of Learning Analytics, 4(3), 123-139. https://doi.org/10.18608/jla.2017.43.7.
3. Supplementary videos on ENA
Tutorial video on uploading a data set to the ENA webtool.
Tutorial video on using the tutorial mode to create ENA models.
Using manual mode to create an ENA model
Tutorial video on manually creating ENA models.
Tutorial video on running statistics in the ENA webtool.
Clicking connections: data view
Tutorial video on using the data view to see what data led to a specific connection in an ENA model.
Tutorial video on creating samples or groups of ENA units.
If you are interested in other QE related resources, explore the International Society for Quantitative Ethnography website: https://www.qesoc.org/
Look for more previous publications using QE or ENA in free Zotero Library:
https://www.zotero.org/groups/2456859/quantitative_ethnography/library