Publications


 

Journals


Joksimovic, S., Siemens, G., Wang, Y. E., San Pedro, M.O.Z., & Way, J. (2020). Editorial: Beyond Cognitive Ability. Journal of Learning Analytics, 7(1), 1–4.


San Pedro, M. O. Z., Baker, R. S., & Heffernan, N. T. (2017). An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technology, Knowledge and Learning, 22(3), 243-270.


Ocumpaugh, J., San Pedro, M. O., Lai, H. Y., Baker, R. S., & Borgen, F. (2016). Middle school engagement with mathematics software and later interest and self-efficacy for STEM careers. Journal of Science Education and Technology, 25(6), 877-887.


San Pedro, M. O. Z., d Baker, R. S., & Rodrigo, M. M. T. (2014). Carelessness and Affect in an Intelligent Tutoring System for Mathematics. International Journal of Artificial Intelligence in Education, 24(2), 189-210. [PDF]


Pardos, Z.A., Baker, R.S., San Pedro, M.O.C.Z., Gowda, S.M., Gowda, S.M. (2014) Affective states and state tests: Investigating how affect and engagement during the school year predict end of year learning outcomes. Journal of Learning Analytics, 1 (1), 107-128. [PDF]


Rodrigo, M.M.T., Baker, R.S.J.d., Agapito, J., Nabos, J., Repalam, M.C., Reyes, S.S., San Pedro, M.O.Z. (2012) The Effects of an Interactive Software Agent on Student Affective Dynamics while Using an Intelligent Tutoring System. IEEE Transactions on Affective Computing, 3 (2), 224-236. [PDF]


 

Book/s


Wang, Y., Joksimovic, S., San Pedro, M.O.Z., Way, J., & Whitmer, J. (In preparation, proposal accepted for 2021 publication). Social and Emotional Learning - An Inclusive Learning Analytics Perspective. Springer Nature’s ‘Advances in Analytics for Learning and Teaching’ series.


 

Book Chapters


San Pedro, M.O.Z., Baker, R.S., Bowers, A.J., & Heffernan, N.T. (In Preparation). Exploring Selective College Attendance and Middle School Cognitive and Non-Cognitive Factors within Computer-Based Math Learning. Social and Emotional Learning and Complex Skills Assessment: An Inclusive Learning Analytics Perspective.


San Pedro, M. O. Z. & Baker, R. S. (Under Review). Adaptive Learning and Knowledge Inference Models. In von Davier, A., Mislevy, R. & Hao, J. (eds.) Computational Psychometrics: New Methods for a New Generation of Educational Assessment.


Bobek, B.L., Way, J., & San Pedro, M. O. Z. (In Press). A Noncognitive Roadmap to College Student Success. Building Bridges for Student Success: A Sourcebook for College and Universities . Consortium for Student Retention Data Exchange.


San Pedro, M.O.Z. & Baker, R. S. (2016). Adaptive Learning. In McCarthy, M. (Ed.) The Cambridge Guide to Blended Learning for Language Technologies, pp. 234-247.


 

White Papers / Technical Reports / Research Reports


Walton, K. E.. San Pedro, M.O.Z., Whitmer, J., Liu, R., Walton, K. E., Moore, J. L., & Lotero, A. A. (In Press) Using Feature Engineering from Online Learning Environments to Observe Social and Emotional Skills and Academic Performance. Iowa City, IA: ACT.


Payne, J. S., San Pedro, M.O.Z., Moore, R., & Sanchez, E. (2020). Educator Perspectives: Insights on Test Preparation in Schools with State and District Testing. Iowa City, IA: ACT.


Moore, R., Sanchez, E., & San Pedro, M.O.Z. (2019). College Entrance Exams: How Does Test Preparation Affect Retest Scores? Iowa City, IA: ACT.


Sanchez, E., Moore, R., & San Pedro, M.O.Z. (2018). Investigating test prep impact on score gains using quasi-experimental propensity score matching. Iowa City, IA: ACT.


San Pedro, M. O. Z. (2017). Carelessness in Online Learning Environments: An Evidence-Centered Design Perspective. SRI White Paper. Menlo Park, CA: SRI Education.


 

Published Conference Proceedings (Peer-Reviewed Full, Short, Poster and Workshop Proposals)


Schnieders, J.Z., San Pedro, M.O.Z., Paek, P.L., Claypool, A., & Coulson, A. (2020) Exploring the Utility of Eye-tracking in Identifying Misconceptions in a Mathematics Digital Game. In Proceedings of the 2020 International Conference of the Learning Sciences.


San Pedro, M.O.Z., Liu, R., & McKinniss, T. L. (2019). Developing Game-Based Models of Cooperation, Persistence and Problem Solving from Collaborative Gameplay. In Proceedings of the International Conference on Artificial Intelligence in Education (pp. 247-251).


Wang, Y., San Pedro, M.O.Z., Joksimovic, S., & Way, J. (2019). The 2nd Workshop on Online Learning & Social Emotional Learning (SEL). In Proceedings of the 9th International Conference on Learning Analytics and Knowledge.


San Pedro, M.O.Z. (2018). Discourse Engagement during Online Test Preparation: A Social Network Analysis Approach. In Proceedings of the 8th International Conference on Learning Analytics & Knowledge, 151-152.


Wang, Y., San Pedro, M.O.Z., Joksimovic, S., McKinniss, T, & Way, J. (2018). Workshop on non-cognitive assessments at scale for online learning. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 560-564.


McKinniss, T., San Pedro, M.O.Z., Dixon, A., & Way, J. (2018). Non-cognitive Skills: Relevance & Measurement during Online Learning. In Proceedings of Workshop at the 8th International Conference on Learning Analytics & Knowledge, 578-582.


Ocumpaugh, J., Baker, R. S., San Pedro, M. O. C. Z., Hawn, M. A., Heffernan, C., Heffernan, N. T., & Slater, S. A. (2017). Guidance counselor reports of the ASSISTments college prediction model (ACPM). In Proceedings The 7th International Learning Analytics & Knowledge Conference (pp. 479-488).


San Pedro, M.O.Z., Snow, E.L., Baker, R.S., McNamara, D., Heffernan, N. (2015) Exploring Dynamic Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. In Proceedings of the 8th International Conference on Educational Data Mining, 85-92. [PDF]


Snow, E.L., San Pedro, M.O.Z., Jacovina, M., McNamara, D.S., Baker, R.S. (2015) Achievement versus Experience: Predicting Students' Choices during Gameplay. In Proceedings of the 8th International Conference on Educational Data Mining, 564-565. [PDF]


San Pedro, M.O.Z., Baker, R.S., Heffernan, N.T., Ocumpaugh, J.L. (2015) Exploring College Major Choice and Middle School Student Behavior, Affect and Learning: What Happens to Students Who Game the System? Proceedings of the 5th International Learning Analytics & Knowledge Conference, 36-40. [PDF]


Jiang, Y., Baker, R. S., Paquette, L., San Pedro, M.O.Z., & Heffernan, N. T. (2015). Learning, Moment-by-Moment and Over the Long Term. In Proceedings of Artificial Intelligence in Education (pp. 654-657). Springer International Publishing. [PDF]


San Pedro, M.O.Z., Ocumpaugh, J.L., Baker, R.S., Heffernan, N.T. (2014) Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. Proceedings of the 7th International Conference on Educational Data Mining, 276-279. [PDF]


Bazaldua, D.A.L., Baker, R.S., San Pedro, M.O.Z. (2014) Combining Expert and Metric-Based Assessments of Association Rule Interestingness. Proceedings of the 7th International Conference on Educational Data Mining, 44-51.[PDF]


San Pedro, M.O.Z., Baker, R.S.J.d., Bowers, A.J., Heffernan, N.T. (2013) Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. Proceedings of the 6th International Conference on Educational Data Mining, 177-184. [PDF] [Erratum]


San Pedro, M.O.Z., Baker, R.S.J.d., Gowda, S.M., Heffernan, N.T. (2013) Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System. Proceedings of the 16th International Conference on Artificial Intelligence and Education, 41-50. [PDF]


Pardos, Z.A., Baker, R.S.J.d., San Pedro, M.O.C.Z., Gowda, S.M., Gowda, S.M. (2013) Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes. Proceedings of the 3rd International Conference on Learning Analytics and Knowledge, 117-124. [PDF]


San Pedro, M.O.Z., Rodrigo, M.M., Baker, R.S.J.d. (2011) The Relationship between Carelessness and Affect in a Cognitive Tutor. Proceedings of the 4th bi-annual International Conference on Affective Computing and Intelligent Interaction. [PDF]


San Pedro, M.O.Z., Baker, R., Rodrigo, M.M. (2011) Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics. Proceedings of 15th International Conference on Artificial Intelligence in Education, 304-311. [PDF]


 

Conference Presentations (Peer-reviewed sessions)


San Pedro, M.O.Z. & Liu, R (2020) Modeling Collaborative Problem Solving Skills from Team Interactions with an Educational Game. Paper accepted for individual presentation at the virtual 2020 Annual Meeting of the National Council on Measurement in Education (NCME).


Paek, P.L., San Pedro, M.O.Z., Coulson, A., Claypool, A., & Krier, C. (2019). Miscarry of Mathematics Learning from Online Games to High-Stakes Assessments. Presented at a paper session at the 2019 Annual Meeting of the National Council on Measurement in Education (NCME) on April 4-8. 2019.


San Pedro, M.O.Z. & Coulson, A. (2019). Content Knowledge versus Experience: Towards an Understanding of Student Hurdles during Gameplay in Math Learning. Presented at a poster session at the 2019 Annual Meeting of the American Educational Research Association (AERA) on April 5-9. 2019.


San Pedro, M.O.Z. & Coulson, A. (2019). Trends in Student Mastery and Math Content Knowledge through Spatial-Temporal Gameplay: A Twelve-Year Look. Presented at a structured poster session at the 2019 Annual Meeting of the American Educational Research Association (AERA) on April 5-9. 2019.


San Pedro, M.O.Z. & Zhou, Y. (2019). Exploring Teacher Noticing of Collaborative Problem-Solving with an Assessment Framework: Does Teacher Experience Matter? Presented at a roundtable session at the 2019 Annual Meeting of the American Educational Research Association (AERA) on April 5-9. 2019.


Paek, P.L., San Pedro, M.O.Z., Coulson, A., & Claypool, A. (2018). Uncovering conceptual misunderstandings that lead to short- and long-term challenges in mathematics. Paper presented at the 2nd the NCME Special Conference on Classroom Assessment, Lawrence, Kansas.


San Pedro, M.O.Z., Zhou, Y., & McKinniss, T. (2018). Investigating Teacher Noticing in Students' Collaborative Problem Solving Activities within a Physics Educational Game. Poster presentation at the 2018 Annual Meeting of the American Educational Research Association (AERA).


Zhou, Y., & San Pedro, M.O.Z. (2017). Exploring Teacher Noticing in Students’ Collaborative Problem-Solving Activities. Poster presentation at the 2017 Annual Conference of the Iowa Educational Research & Evaluation Association (IEREA)ß.


San Pedro, M.O.Z., Baker, R.S., Bowers, A.J., & Heffernan, N.T. (2015). Predicting College Enrollment from Machine-Learned Assessments of Knowledge, Academic Emotions and Behavior within Educational Software. Poster paper presented at the 9th Annual Machine Learning Symposium on March 13, 2015, New York, NY. [PDF]


San Pedro, M.O.Z., Ocumpaugh, J.L., Baker, R.S., & Heffernan, N.T. (2015) Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. Poster paper presented at the 8th Annual Subway Summit on Cognition and Education Research on January 23, 2015, New York, NY [PDF]


Baker, R.S., Heffernan, N.T., & San Pedro, M.O.Z.. (2012). Predicting STEM Career Choice from Computational Indicators of Student Engagement within Middle School Mathematics Classes. Poster paper for Worcester Polytechnic Institute's GRAD 2012 (Graduate Research Achievement Day) presented on March 28, 2012, Worcester, MA. [PDF] [link]


San Pedro, M.O.Z., Rodrigo, M.M., Baker, R.S.J.d. (2011) The Relationship between Carelessness and Affect in a Cognitive Tutor. Poster paper for the Young Researcher's Track (YRT) at the 15th International Conference on Artificial Intelligence in Education, Auckland, New Zelanda. [PDF] [photo]