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Julio Daniel Guerra Hollstein

Julio Daniel Guerra Hollstein
Profesor Titular

Biografía

Nací en Santiago, viví en Antofagasta y luego en Valdivia, donde realicé mi educación media y mis estudios en la UACh. Me titulé de Ingeniero Civil en Informática el año 2004 y he trabajado en la UACh, tanto en proyectos de investigación, de transferencia tecnológica, y como profesor. Realicé mis estudios de doctorado en la Universidad de Pittsburgh, entre los años 2011 y 2017 bajo la tutela del Dr. Peter Brusilovsky y obtuve el grado de doctor en 2017 con mi tesis titulada «Open Learner Models for Self-Regulated Learning: Exploring the Effects of Social Comparison and Granularity». Mi investigación siempre ha estado relacionada con tecnologías de aprendizaje. Durante mi doctorado trabajé con modelos abiertos de aprendiz (open learner models) e implementé visualizaciones que incluyen elementos de comparación social y evalué su influencia en el uso de herramientas en línea para aprender a programar. En el Instituto y en la Escuela de Informática aporto con investigación y trabajo en el área de analíticas de aprendizaje, visualización de la información, minería de datos y educación en ingeniería. Como parte del consejo de escuela, y como profesor e integrante del claustro de Magister de Informática, donde también colaboro y dirijo cursos de postgrado. I was born in Santiago and lived in Antofagasta and Valdivia (Chile). In Valdivia I completed my high school and my university studies. I graduated (profesional title) as a Informatics Engineer in 2014 and since then I have worked at Universidad Austral de Chile (UACH) performing research and deployment work and teaching. Between 2011 and 2017 I studied under the advise of Peter Brusilovsky at the School of Computing and Information at University of Pittsburgh, and got my Ph.D. degree in 2017 with the thesis «Open Learner Models for Self-Regulated Learning: Exploring the Effects of Social Comparison and Granularity». My research has been always focused in technology in education. During my Ph.D. studies I worked with open learner models and developed, deployed and evaluated visualizations that incorporates social comparison features. As part of the Informatics Institute and School at UACh, I research in topics related to learning analytics, information visualization, data mining and engineering education. I am also part of the Informatics School Counsel at UACh and the (recently crated) Informatics Master program at UACh, where I teach and direct master students’ theses. Google scholar profile ORCID

Títulos y Grados

2017 Doctor of Philosophy (PhD) in Information Sciences, University of Pittsburgh
2004 Ingeniero Civil en Informática, Universidad Austral de Chile
2002 Licenciado en Ciencias de la Ingeniería, Universidad Austral de Chile

Áreas de Interes

Open Learner Models
Analíticas de Aprendizaje
Tecnologías de Aprendizaje

Docencia

INFO090 – Programación Orientada a Objetos (pregrado)
INFO104 – Taller de Construcción de Software (pregrado)
INFO340 – Visualización de la Información (postgrado)
INFO343 – Minería y Aprendizaje con Datos (postgrado)

Proyectos

Developing a Mobile App for Self-Monitoring to Improve Emotional Self-Awareness of University Engineering, Innoving FCI UACh, 2018
Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America (LALA), Erasmus+, 2017-2020
Guerra Hollstein, Julio Daniel (2018) Open Learner Models for Self-Regulated Learning: Exploring the Effects of Social Comparison and Granularity. Doctoral Dissertation, University of Pittsburgh. (Unpublished) English

Tesis doctoral (PhD thesis)

Guerra Hollstein, J. D. (2018). Open Learner Models for Self-Regulated Learning: Exploring the Effects of Social Comparison and Granularity (Doctoral dissertation, University of Pittsburgh).

Publicaciones – Journals

Somyürek, S., Brusilovsky, P., & Guerra, J. (2020). Supporting knowledge monitoring ability: open learner modeling vs. open social learner modeling. Research and Practice in Technology Enhanced Learning, 15(1), 1-24.
Guerra, J., Ortiz, M., Zúñiga-Prieto, M.A., Scheihing, E., Jiménez, A., Bross, T., De Laet, T., Verbert, K. Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. Accepted in special issue Applications of Learning Analytics in Latin America or the British Journal of Education Technology (2020).
Brusilovsky, P., Malmi, L., Hosseini, R., Guerra, J., Sirkiä, T., & Pollari-Malmi, K. (2018). An integrated practice system for learning programming in Python: design and evaluation. Research and Practice in Technology Enhanced Learning, 13(1), 18.
Scheihing, E., Vernier, M., Guerra, J., Born, J., & Cárcamo, L. (2018). Understanding the role of micro-blogging in b-learning activities: Kelluwen experiences in Chilean public schools. IEEE Transactions on Learning Technologies, 11(3), 280-293.
Guerra, J., Schunn, C. D., Bull, S., Barria-Pineda, J., & Brusilovsky, P. (2018). Navigation support in complex open learner models: assessing visual design alternatives. New Review of Hypermedia and Multimedia, 24(3), 160-192
Brusilovsky, P., Somyürek, S., Guerra, J., Hosseini, R., Zadorozhny, V., & Durlach, P. J. (2016). Open social student modeling for personalized learning. IEEE Transactions on Emerging Topics in Computing, 4(3), 450-461.

Publicaciones en Conferencias (con comité editorial)

2020

Hilliger, I., De Laet, T., Henríquez, V., Guerra, J., Ortiz-Rojas, M., Zuñiga, M. Á., Da Laet, T. & Pérez-Sanagustín, M. (2020, September). For Learners, with Learners: Identifying Indicators for an Academic Advising Dashboard for Students. In European Conference on Technology Enhanced Learning (pp. 117-130). Springer, Cham.
Akhuseyinoglu, K., Barria-Pineda, J., Sosnovsky, S., Lamprecht, A. L., Guerra, J., & Brusilovsky, P. (2020, September). Exploring Student-Controlled Social Comparison. In European Conference on Technology Enhanced Learning (pp. 244-258). Springer, Cham.

2019

Chevreux, H., Henríquez, V., Guerra, J., & Scheihing, E. (2019, September). Agile development of learning analytics tools in a rigid environment like a university: Benefits, challenges and strategies. In European Conference on Technology Enhanced Learning (pp. 705-708). Springer, Cham.
Guerra, J., Scheihing, E., Henríquez, V., Olivares-Rodríguez, C., & Chevreux, H. (2019, September). TrAC: Visualizing students academic trajectories. In European Conference on Technology Enhanced Learning (pp. 765-768). Springer, Cham.

2018

Bull, S., Brusilovsky, P., & Guerra, J. (2018, September). Which Learning Visualisations to Offer Students?. In European Conference on Technology Enhanced Learning (pp. 524-530). Springer, Cham.
Barria-Pineda, J., Guerra-Hollstein, J., & Brusilovsky, P. (2018, July). A Fine-Grained Open Learner Model for an Introductory Programming Course. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 53-61). ACM.

2017

Pollari-Malmi, K., Guerra, J., Brusilovsky, P., Malmi, L., & Sirkiä, T. (2017, November). On the value of using an interactive electronic textbook in an introductory programming course. In Proceedings of the 17th Koli Calling Conference on Computing Education Research (pp. 168-172). ACM.
Guerra-Hollstein, J., Barria-Pineda, J., Schunn, C. D., Bull, S., & Brusilovsky, P. (2017, July). Fine-Grained Open Learner Models: Complexity Versus Support. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (pp. 41-49). ACM. [Best student paper award]
Huang, Yun, Julio Guerra-Hollstein, Jordan Barria-Pineda, and Peter Brusilovsky. «Learner Modeling for Integration Skills.» In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, pp. 85-93. ACM, 2017.

2016

Guerra, J., Hosseini, R., Somyurek, S., Brusilovsky, P. (2016). An Intelligent Interface for Learning Content: Combining an Open Learner Model and Social Comparison to Support Self-Regulated Learning and Engagement. Intelligent User Interfaces. In press. English
R. Hosseini, T. Sirkiä, J. Guerra, P. Brusilovsky, L. Malmi, «Animated Examples as a Practice Content in Java Programming Course», Proc. of the 47th ACM technical symposium on Computer Science Education (SIGCSE), Memphis, Tennessee, March 2016. English

2015

Brusilovsky, P., Somyürek, S., Guerra, J., Hosseini, R., and Zadorozhny, V., Open Social Student Modeling for Personalized Learning. In Press. IEEE Transactions on Learning Technologies. 2015English
Hosseini, R., Hsiao, I. H., Guerra, J., & Brusilovsky, P. (2015, June). Off the Beaten Path: The Impact of Adaptive Content Sequencing on Student Navigation in an Open Social Student Modeling Interface. In Artificial Intelligence in Education (pp. 624-628). Springer International Publishing.English
Hosseini, R., Hsiao, I. H., Guerra, J., & Brusilovsky, P. (2015). What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling. In Design for Teaching and Learning in a Networked World (pp. 155-168). Springer International Publishing.English
Brusilovsky, P., Somyürek, S., Guerra, J., Hosseini, R., & Zadorozhny, V. (2015). The Value of Social: Comparing Open Student Modeling and Open Social Student Modeling. In User Modeling, Adaptation and Personalization (pp. 44-55). Springer International Publishing.English
Guerra, J., Huang, Y., Hosseini, R., & Brusilovsky, P. (2015, June). Graph Analysis of Student Model Networks. In Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (GEDM 2015). CEUR-WS.English
Guerra, J., Huang, Y., Hosseini, R., & Brusilovsky, P. Exploring the Effects of Open Social Student Model Beyond Social Comparison. In ISLG 2015 Fourth Workshop on Intelligent Support for Learning in Groups (p. 19).English

2014

Born, J., Scheihing, E., Guerra, J., & Cárcamo, L. (2014). Analysing Microblogs of Middle and High School Students. In Open Learning and Teaching in Educational Communities (pp. 15-28). Springer International Publishing.
Loboda, T. D., Guerra, J., Hosseini, R., & Brusilovsky, P. (2014). Mastery Grids: An Open Source Social Educational Progress Visualization. In Open Learning and Teaching in Educational Communities (pp. 235-248). Springer International Publishing. Best Paper AwardEnglish
Guerra, J., Sahebi, S., Brusilovsky, P., & Lin, Y. R. The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises. Educational Data Mining 2014, London; 07/2014English

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