Journals

Koleilat, M., Radcliffe, S., Kim, L., Frost, E., & Inventado, P. S. (2020). Postpartum Weight-Loss Tracker to Guide Low-Income Postpartum Women on their Weight-Loss Journey. Californian Journal of Health Promotion , 18 (1), 53-59.

Inventado, P., Scupelli, P., Ostrow, K. Heffernan, N., Ocumpaugh, J.,  Almeda, V., & Slater, (2018). Contextual Factors Affecting Hint Utility, International Journal of STEM Education, 5(1), 13.

Inventado, P.S., and Scupelli, P. (2017). An Online Learning Collaboratory to Address Multidisciplinary Learning Challenges at Scale. International Journal on Interaction Design & Architecture(s) (IXD&A), 33, 11 - 32.

Inventado, P.S. and Scupelli, P. (2015). Towards an open, collaborative repository for online learning system design patterns. eLearning Papers, 42(1), 14-27.

Inventado, P. S., Legaspi, R., Moriyama, K., Fukui, K. I., and Numao, M. (2014). Sidekick: A tool for helping students manage behavior in self-initiated learning scenarios. International Journal of Distance Education Technologies (IJDET), 12(4), 32-54.

Cabredo, R., Legaspi, R. S., Inventado, P. S., and Numao, M. (2013). Discovering Emotion-Inducing Music Features Using EEG Signals. Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 17(3), 362-370.

Inventado, P. S., Legaspi, R., Suarez, M., and Numao, M. (2011). Predicting student emotions resulting from appraisal of ITS feedback. Research and Practice in Technology Enhanced Learning, 6(2):107-133.

Conference Full Papers

Köppe, C., Kohls, C., Pedersen, A.Y., Nørgård, R.T., Inventado, P.S. (in press). Hybrid Collaboration Patterns. In Proceedings of the 25th Conference on Pattern Languages of Programs (PLoP 2018). The Hillside Group.

Inventado, P.S., Francisco Inventado, S.G., Matsuda, N., Li, Y., Scupelli, P., Ostrow, K., Heffernan, N., Tu, S., Mason, C., Logue, M., and McGuire, P. (2018). Using Design Patterns for Math Preservice Teacher Education. In Proceedings of the 23rd European Conference on Pattern Languages of Programs (EuroPLoP 2018). ACM.

Inventado, P.S., Scupelli, P., Heffernan C., and Heffernan, N. (2017). Feedback Design Patterns for Math Online Learning Systems. In Proceedings of the 22nd European Conference on Pattern Languages of Programs (EuroPLoP 2017). ACM.

Inventado, P.S., and Scupelli, P. (2017). Adapting Design Patterns Across Learning Environments. In   Proceedings of the VikingPLoP 2017 Conference on Pattern Languages of Program (VikingPLoP).   ACM.

Inventado, P.S. and Scupelli, P. (2016). Patterns for learning-support design in math online learning systems. In Proceedings of the 23rd Conference on Pattern Languages of Programs (PLoP 2016). The Hillside Group.

Köppe, C., Inventado, P.S., Scupelli, P., van Heesch, U., Hoppenbrouwers, S. (2016). Towards extending online pattern repositories: supporting the design pattern lifecycle. In Proceedings of the 23rd Conference on Pattern Languages of Programs (PLoP 2016). The Hillside Group.

Inventado, P.S. and Scupelli, P. (2016). Design patterns for helping students to learn to represent math problems in online learning systems. In Proceedings of the 21st European Conference on Pattern Languages of Programs (EuroPLoP 2016). ACM.

Inventado, P.S. and Scupelli, P. (2016). Design patterns for math problems and learning support in online learning systems. In Proceedings of the 21st European Conference on Pattern Languages of Programs (VikingPLoP 2016). ACM.

Slater, S., Ocumpaugh, J., Baker, R., Scupelli, P., Inventado, P.S., Heffernan, N. (2016). Semantic Features of Math Problems: Relationships to Student Learning and Engagement. In Proceedings of the 9th International Conference on Educational Data Mining (pp. 223-230).

Inventado, P.S. and Scupelli, P. (2015). Data-driven design pattern production: A case study on the assistments online learning system. In Proceedings of the 20th European Conference on Pattern Languages of Programs (EuroPLoP 2015). ACM.

Inventado, P.S. and Scupelli, P. (2015). A Data-driven methodology for producing online learning system design patterns. In Proceedings of the 22nd Conference on Pattern Languages of Programs (PLoP 2015). The Hillside Group.

Inventado, P. S., Legaspi, R., Cabredo, R., and Numao, M. (2013). Sidekick retrospect: A self-regulation tool for unsupervised learning environments. In Theory and Practice of Computation (Volume 7 of Proceedings of Information and Communications Technology) (pp. 195-205). Springer Japan.

Inventado, P.S., Legaspi, R., Moriyama, K., Fukui, K., and Numao, M. (2013). Modeling affect in self-directed learning scenarios. In Proceedings of 4th International Workshop on Empathic Computing.

Inventado, P.S., Legaspi, R., Moriyama, K., Fukui, K., Numao, M. (2013). Building policies for supportive feedback in self-directed learning scenarios. In Proceedings of Workshop on Computation: Theory and Practice (pp. 144-155). World Scientific.

Inventado, P.S., Legaspi, R., Moriyama, K., Fukui, K., Numao, M. (2013). An architecture for identifying and using effective learning behavior to help students manage learning. In AIED Workshop Proceedings: Formative Feedback in Interactive Learning Environments.

Vachiratamporn, V., Inventado, P.S., Legaspi, R., Moriyama, K., & Numao, M. (2013). An analysis of affective state transitions in survival horror game with the aid of player self-reports and physiological signals. In Proceedings of The 27th Annual Conference of the Japanese Society for Artificial Intelligence.

Cabredo, R., Legaspi, R. S., Inventado, P. S., and Numao, M. (2012). An Emotion Model for Music Using Brain Waves. In 13th International Society for Music Information Retrieval Conference (ISMIR) (pp. 265-270).

Inventado, P. S., Legaspi, R., Cabredo, R., and Numao, M. (2012). Modeling affect and intentions in unsupervised learning environments. In Proceedings of the 3rd International Workshop on Empathic Computing.

Inventado, P. S., Legaspi, R., Cabredo, R., and Numao, M. (2012). Student learning behavior in an unsupervised learning environment. In Proceedings of the 20th International Conference on Computers in Education (pp. 730-737). (Best Technical Design Paper Award)

Inventado, P. S., Legaspi, R., Suarez, M., and Numao, M. (2012). Categorizing and comparing behaviors of students engaged in self-initiated learning online. In Theory and practice of computation (Volume 5 of Proceedings in Information and Communications Technology) (pp. 133-144). Springer, Japan.

Mai, A., Legaspi, R., Inventado, P.S., Cabredo, R., Kurihara, S., & Numao, M. (2012). A Model for Sitting Postures in Relation to Learning and Non-learning Behaviors. In Proceedings of The 26th Annual Conference of the Japanese Society for Artificial Intelligence.

Inventado, P. S., Legaspi, R., Suarez, M., and Numao, M. (2011). Investigating transitions in affect and activities for online learning interventions. In Proceedings of the 19th Conference on Computers in Education (pp. 571-578). (Nominated for Best Student Paper Award)

Inventado, P. S., Legaspi, R., Suarez, M., and Numao, M. (2011). Observatory: A tool for recording, annotating and reviewing emotion-related data. In Third International Conference on Knowledge and Systems Engineering (pp. 261-265). IEEE.

Azcarraga, J., Suarez, M.T., and Inventado, P.S. (2010). Predicting the Difficulty Level Faced by Academic Achievers based on Brainwave Analysis. In Proceedings of the 18th International Conference on Computers in Education (pp. 107-109).

Cu, J., Cabredo, R., Cu, G., Legaspi, R., Inventado, P. S., Trogo, R., and Suarez, M. T. (2010). The TALA empathic space: integrating affect and activity recognition into a smart space. In 3rd International Conference on Human-Centric Computing (HumanCom) (pp. 1-6). IEEE.

Inventado, P. S., Legaspi, R., Bui, T. D., and Suarez, M. (2010). Predicting student's appraisal of feedback in an ITS using previous affective states and continuous affect labels from EEG data. In Proceedings of the 18th International Conference on Computers in Education (pp. 71-75).

Inventado, P.S., Suarez, M.T. and Legaspi, R. (2010). Tracking and modelling the behavior of students in learning online. In Proceedings of the 10th Philippine Computing Science Congress.

Inventado, P. S., Suarez, M., and Legaspi, R. (2010). Identifying student appraisal of feedback provided by an ITS using system logs and brainwave data. In Proceedings of the 15th Joint Academic Research Symposium of De La Salle and Osaka University.

Inventado, P.S. (2009). Tracking digital natives' online learning behavior. In Proceedings of the Osaka University - De La Salle University Academic Research Workshops.

Inventado, P.S. and See, S. (2009). Ai Cap'n: A game platform for learning artificial intelligence. In Proceedings of 2009 9th Philippine Computing Science Congress.

Roxas, R., Inventado, P.S., Asenjo, G., Corpus, M., Dita, S., Sison-Buban, R. and Taylan, D. (2009). Online corpora of Philippine languages. In Proceedings of the 2009 DLSU Art Congress.

Book Chapters

Baker, R.S. and Inventado, P.S. (2016). Educational data mining and learning analytics: Potentials and possibilities for online distance education. In G. Veletsianos (Ed.), Emergence and Innovation in Digital Learning: Foundations and Applications (pp. 83-98). Edmonton: Athabasca University Press.

Baker, R. S. and Inventado, P.S. (2014). Educational data mining and learning analytics. In Lárusson, J. A. and White, B. (Eds.), Learning Analytics: From Research to Practice, Computer-Supported Collaborative Learning Series (pp.61-75). New York, NY: Springer New York.

Conference Short Papers and Posters

Inventado, P.S., and Scupelli, P. (2017). Towards a Community-Centric Pattern Repository. In Proceedings of the 22nd European Conference on Pattern Languages of Programs (EuroPLoP 2017). ACM.

Inventado, P.S., Scupelli, P., Van Inwegen, E., Ostrow, K., Heffernan, N., Baker, R.S., Slater, S., Almeda, M.V., Ocumpaugh, J. (2016). Hint Availability slows completion times in summer work. In Proceedings of the 9th International Conference on Educational Data Mining (pp. 388-393).

Inventado, P.S. and Scupelli, P. (2016). A data-driven design pattern methodology to facilitate effective pedagogical practice in online learning systems. Poster session presented at: CMU Teaching and Learning Summit, Pittsburgh, PA, USA.

Inventado, P.S. and Scupelli, P. (2015). Addressing MOOCs’ sustainability issues using data-driven design pattern production. Poster session presented at: Learning with MOOCs II, New York, NY, USA.

Inventado, P.S., Legaspi, R., Moriyama, K., Fukui, K., Numao, M. (2013). Identification of effective learning behaviors. In Artificial Intelligence in Education (Volume 7926 of Lecture Notes in Computer Science) (pp. 670-673). Springer Berlin Heidelberg.

Inventado, P.S., Legaspi, R., Moriyama, K., Fukui, K., Numao, M. (2013). Building incremental affect models to help students annotate and analyze their their behavior in self-directed learning scenarios. In Proceedings 20th Conference on Computers in Education (pp. 170-172).

Inventado, P. S., Legaspi, R. S., Suarez, M., and Numao, M. (2011). Investigating the transitions between learning and non-learning activities as students learn online. In 4th International Conference on Educational Data Mining (pp. 367-368).

Inventado, P.S., Suarez, M.T. and Legaspi, R. (2009). Modelling digital natives in social learning environments. In Proceedings of the 17th International Conference on Computers in Education (ICCE 2009) (pp. 199-201).

Legaspi, R., Inventado, P.S., Cabredo, R., & Numao, M. (2012). Aiding digital natives learn positive learning behaviors through reflection. In Proceedings of the 20th International Conference on Computers in Education (ICCE 2012) (pp. 806-810).

Talks and Presentations

Inventado, P. (2019). Promoting Mastery Learning in an Introductory Programming Course. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE 2019)(pg. 1285)

Inventado, P. (2019). Exploring the use of unit tests, linters, and format checkers to enhance computer-programming instruction . Talk presented at the SPLICE Spring 2019 Workshop, Minneapolis, MN.

Inventado, P. (2019). A GitHub-Hosted Programming Problem Repository: Helping instructors create, check, and give feedback on programming problems in the classroom. Talk presented at SIGCSE 2019 Supporter Session - GitHub's Get to near-total automation with GitHub: Teacher stories, Minneapolis, MN.

Theses

 Inventado, P.S. (2014). Helping Students Manage Learning Behavior in Self-initiated Learning Scenarios (Doctoral Dissertation). Adviser: Professor Masayuki Numao.

Inventado, P.S. (2007). Disambiguating Novice Object Oriented Programming Errors (Masters Thesis). Adviser: Professor Merlin Suarez.

Inventado, P.S. (2005). DIGMA: A Role Playing Game with Plan Reformulation and Situational Reassessment (Undergraduate Thesis). Adviser: Professor Merlin Suarez.