Links
Journal Articles
Borchers, C., Eder, T. F., Richter, J., Keutel, C., Huettig, F., & Scheiter, K. (in-press). A Time Slice Analysis of Dentistry Students’ Visual Search Strategies and Pupil Dilation during Diagnosing Radiographs. PloS one.
Pardos, Z. A., Borchers, C., & Yu, R. (2023). Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records. The Internet and Higher Education. https://doi.org/10.1016/j.iheduc.2022.100882 [pdf] [github]
Rosenberg, J., Borchers, C., Burchfield, M., Anderson, D., Stegenga, S., & Fischer, C. (2022). How educational institutions reveal students' personally identifiable information on Facebook. Learning, Media and Technology. https://doi.org/10.1080/17439884.2022.2140672
Rosenberg, J., Borchers, C., Burchfield, M., Anderson, D., Stegenga, S., & Fischer, C. (2022). Posts About Students on Facebook: A Data Ethics Perspective. Educational Researcher. https://doi.org/10.3102/0013189X221120538
Rosenberg, J., Burchfield, M., Borchers, C., Gibbons, B., Anderson, D., & Fischer, C. (2021). Social media and students’ privacy: What schools and districts should know. Phi Delta Kappan, 103(2), 49-53. https://doi.org/10.1177/00317217211051145
Rosenberg, J., Borchers, C., Dyer, E., Anderson, D. & Fischer, C. (2021). Understanding Public Sentiment About Educational Reforms: The Next Generation Science Standards on Twitter. AERA Open, 7(1), 1-17. https://doi.org/10.1177/23328584211024261 [github]
Conference Proceedings
Karumbaiah, S., Borchers, C., Shou, T., Falhs, A.-C., Liu, C., Nagashima, T., Rummel, N., & Aleven, V. (in-press). A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-enabled Classroom. In Proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED). Tokyo, Japan.
Shou, T., Borchers, C., Karumbaiah, S., & Aleven, V. (in-press). Optimizing Parameters for More Accurate Position Data Mining in Diverse Classrooms Layouts. In Proceedings of the 16th International Conference on Educational Data Mining (EDM). Bengaluru, India.
Borchers, C., Klein, L., Johnson, H., & Fischer, C. (in-press). Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics. In Proceedings of the 16th International Conference on Educational Data Mining (EDM). Bengaluru, India.
Karumbaiah, S., Borchers, C., Falhs, A.-C., Holstein, K., Rummel, N., & Aleven, V. (in-press). Teacher Noticing and Student Learning in Human-AI Partnered Classrooms: A Multimodal Analysis. In Proceedings of the 2023 Annual Meeting of the International Society of the Learning Sciences (ISLS). Montréal, Canada.
Borchers, C., & Pardos, Z. A. (2023). Insights into undergraduate pathways using course load analytics. In Proceedings of the 14th International Learning Analytics and Knowledge Conference (LAK). ACM. https://doi.org/10.1145/3576050.3576081 [pdf] [github] BEST FULL PAPER HONORABLE MENTION
Borchers, C., Rosenberg, J., Gibbons, B., Burchfield, M., & Fischer, C. (2021). To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data. Proceedings of the 14th International Conference on Educational Data Mining (EDM). Paris, France. [video presentation] [pdf]
Burchfield, M., Rosenberg, J., Borchers, C., Thomas, T., Gibbons, B., & Fischer, C. (2021). Are Violations of Student Privacy “Quick and Easy”? Investigating the Privacy of Students’ Images and Names in the Context of K-12 Educational Institution’s Posts on Facebook. Proceedings of the 14th International Conference on Educational Data Mining (EDM). Paris, France. [pdf] BEST POSTER AWARD
Workshop Publications
Borchers, C., Gala, D. S., Gilburt, B., Oravkin, E., Bounsi, W., Asano, Y. M., & Kirk, H. R. (2022). Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements. Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (NAACL). [pdf] [github]
Conference Presentations
Fischer, C., Morina, F., Borchers, C., & Klein, L. (2023, August). Online Communities of Practice on Twitter: A Case Study of the German Educational Twittersphere. Paper to be presented at the 20th Biennial EARLI Conference, Thessaloniki, Greece.
Borchers, C., & Braesemann, F.. Correlation networks predict success of digital technologies (2022, November). Paper to be presented at the the 11th International Conference on Complex Networks and their Applications, Palermo, Italy.
Fischer, C., Morina, F., Borchers, C., Klein, L., & Eich, M. (2022, April). Informal Professional Development in Online Communities of Practice at Scale: Mapping Nationwide Educational Twitterspheres. Paper to be presented at the 2022 Annual Meeting of the American Educational Research Association, San Diego, CA.
Borchers, C., Eder, T., & Scheiter, K. (2021, September). How Effective is Reflective search? A Time Slice Analysis of Dentistry Students’ Visual Search Strategies and Pupil Dilation during Diagnosing Radiographs. 2nd Workshop on Mental Effort, Virtual Conference.
Rosenberg, J., Borchers, C., Gibbons, B., Dyer, E., Anderson, D., & Fischer, C. (2021, April). Don’t worry, be happy? A sentiment analysis of the #NGSSchat Twitter community. Paper at the 2021 annual meeting of the American Educational Research Association, Virtual Conference.
Fischer, C., Morina, F., Borchers, C., & Klein, L. (2021, March). Using Big Data to Support Educational Change: Twitter as a Platform for Informal Professional Development. Paper presented at the 2021 annual meeting of the Leibniz Education Research Network, Hannover, Germany.
Student Conferences, White Papers, and Blog Posts
Borchers, C. (2020). Die Replikationskrise in der Psychologie – Reflexionen und Implikationen für die Erziehungswissenschaft in. Dynamiken des Pädagogischen Perspektiven auf Studium, Theorie und Praxis. Budrich. [Shop]
Borchers, C., Rosenberg, J., & Fischer, C. (2020). An Examination of the #NGSSchat Storify Database. [pdf]
Borchers, C., Ferdinand, J., & Fischer, C. (2020). Inquiry-based Learning: Forschendes Lernen im Unterricht. [Inquiry-based learning in classroom instruction]. [Blog Post]