This is a partial list that is not updated regularly. For a complete and most current list of publications check my Google Scholar profile
Journal articles
[9] John, D. & Mitra, R. (2023) Rethinking Pedagogical Use of Eye Trackers for Visual Problems with Eye Gaze Interpretation Tasks. Frontline Learning Research, 11(2), 31-48. (link)
[8] Chavan, P., Mitra, R., and Aditya Panwar Chavan, P., Mitra, R., Sarkar, A., & Panwar, A. (2023). A contextualized assessment of reliability and validity of student-initiated momentary self-reports during lectures. Educational technology research and development, 1-37. (Link)
[7] Chavan, P. & Mitra, R. (2022). Tcherly : A Teacher-facing Dashboard for Online Video Lectures. Journal of Learning Analytics, 9(3), 125-151. (Link)
[6] Negi, S., & Mitra, R. (2022) Native language subtitling of educational videos: A multimodal analysis with eye tracking, EEG and self-reports. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13214 (link)
[5] Chavan, P., Mitra, R. & Muralidharan, J.S.(2022) Multiscale nature of student and teacher perceptions of difficulty in a mechanical engineering lecture. European Journal of Engineering Education, 1-20. https://doi.org/10.1080/03043797.2022.2047159 (link)
[4] Negi, S., & Mitra, R. (2020). Fixation duration and the learning process: an eye tracking study with subtitled videos. Journal of Eye Movement Research, 13(6). https://doi.org/10.16910/jemr.13.6.1 (link)
[3] Mitra, R., Marchitto, T. M., Ge, Q., Zhong, B., Kanakiya, B., Cook, M.S., Fehrenbacher, J. S., Ortiz, J. D., Tripati, A., and Lobaton, E. (2019) Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance. Marine Micropaleontology. (link) (in media) (in media)
[2] Mitra, R., McNeal, K.S. and Bondell, H.D. (2017) Pupillary response to complex interdependent tasks: A cognitive-load theory perspective. Behavior Research Methods, pp: 1-15. doi: 10.3758/s13428-016-0833-y. (link)
[1] McNeal, K.S., Spry, Mitra, R. and Tipton, J. (2014) Measuring Student Engagement, Knowledge, and Perceptions of Climate Change in an Introductory Environmental Geology Course. J. of Geosc. Ed., 62(4), 655-667. (link)
Conference proceedings and abstracts
[20] Pal, S., Paikrao, A.M. and Mitra, R. (2023, December). A roadmap for using multimodal data for epistemic network analysis (2023), December. Fifth International Conference on Quantitative Ethnography supplementary proceedings (pp 137-142). (Link)
[19] Paikrao, A. M., & Mitra, R. (2023, December). Modeling expertise as a continuum through epistemic network analysis of multichannel data (2023, December). Fifth International Conference on Quantitative Ethnography supplementary proceedings (pp 29-32). (Link)
[18] Paikrao, A. M., & Mitra, R. (2023, September). Expert-Novice Differences In Electrical Circuit Analysis Based On The Order Of Attention On Elements Using A Concurrent Think-Aloud Protocol. SEFI conference. (link)
[17] Chavan, P., & Mitra, R. Developing a student feedback system using a design-based research approach To appear in Proceedings of the 2019 IEEE Eleventh International Conference on Technology for Education (T4E) (link)
[16] Kumar, A., Chavan, P., & Mitra, R. Can EEG signal predict perceived difficulty of learners? To appear in Proceedings of the 27th International Conference on Computers in Education (ICCE)
[15] Mitra, R., & Chavan, P. (2019, March). DEBE feedback for large lecture classroom analytics. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge(pp. 426-430). ACM. (link)
[14] Deep, A., Pathan, R., & Mitra, R. (2018, December). Comparing Experts' Systems Thinking Skill Across Contexts. In 2018 IEEE Tenth International Conference on Technology for Education (T4E) (pp. 154-157). IEEE. (link)
[13] Padhi, D. R., Chavan, P., & Mitra, R. (2018, December). Understanding systems thinking from the perspectives of experience and diversity. In 2018 IEEE Tenth International Conference on Technology for Education (T4E) (pp. 122-125). IEEE.(link)
[12] Negi, S., & Mitra, R. (2018, October). EEG Metrics to Determine Cognitive Load and Affective States: A Pilot Study. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 182-185). ACM. (link)
[11] Chavan, P., Gupta, S. and Mitra, R.(2018) A Novel Feedback System for Pedagogy Refinement in Large Lecture Classroom. Proceedings of the26th International Conference on Computers in Education (ICCE), Manila, Philippines, November 26 - 30. (link)
[10] Marchitto Jr, T. M., Mitra, R., Zhong, B., Ge, Q., Kanakiya, B., & Lobaton, E. (2017, December). Automated species-level identification and segmentation of planktonic foraminifera using convolutional neural networks. In AGU Fall Meeting Abstracts.(link)
[9] Zhong, B., Ge, Q., Kanakiya, B., Mitra, R.,Marchitto, Jr, T.M., & Lobaton, E. (2017, November). A comparative study of image classification algorithms for Foraminifera identification. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-8). IEEE. (link)
[8] Ge, Q., Zhong, B., Kanakiya, B., Mitra, R., Marchitto, T., & Lobaton, E. (2017, November). Coarse-to-fine foraminifera image segmentation through 3D and deep features. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-8). IEEE. (link)
[7] Urbalejo, A. A., Bhattacharya, A., Gee, J. S., Mitra, R., Carilli, J., Hangsterfer, A., & Feinberg, J. M. (2016, December). Characterizing Magnetic Properties in Belize Corals. In AGU Fall Meeting Abstracts.(link)
[6] Mitra, R. and McNeal, K.S. (2015) Pupil diameter as a predictor of cognitive load: A novel tool for geoscience education research. In American Geophysical Union, Fall Meeting, San Francisco, USA, Dec. 14-18. (link)
[5] McNeal, K.S., Mitra, R., Luginbuhl, S. and Atkins, R. (2015). Eye Tracking, Pupillometry, and Hand Biosensors in Geoscience Education: Current trends and future directions. In Earth Educators Rendezvous, Colorado, USA, July 13-17. (link)
[4] Mitra, R., Cook, G. and McNeal, K.S. (2014). Incorporating systems thinking in traditional geoscience curriculum - outcomes from an innovative laboratory assignment. In American Geophysical Union, Fall Meeting, San Francisco, USA, Dec. 15-19. (link)
[3] Mitra, R., McNeal K.S. and Bondel, H.S. (2014) Can knowledge deficit explain the societal perception of climate change risk? In American Geophysical Union, Fall Meeting, San Francisco, USA, Dec. 15-19. (link)
[2] Mitra, R. and McNeal K.S. (2014) Assessment of science knowledge in climate change risk perception studies. In Geological Society of America (GSA), Vancouver, Canada, Oct. 18-22. Vol. 45, No. 7, p. 729. (link)
[1] McNeal, K.S., Tipton, J., Spry, J. and Mitra, R. (2013). Supporting the affective domain during teaching and learning about climate change in an undergraduate geology course. In Geological Society of America (GSA), Denver, USA, Oct. 27-30. Vol.45, No. 7, p. 729.