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Dr. Marek Hatala

MSc, Computer Science, Technical University in Kosice (Slovakia)
PhD, Artificial Intelligcence, Technical University in Kosice (Slovakia)

Dr. Marek Hatala is a Professor at the School Interactive Arts and Technology at Simon Fraser University and a Director of the Laboratory for Ontological Research. He received his PhD in Artificial Intelligence from the Technical University in Kosice (Slovakia). His research is driven by the problems arising between the computing systems and their users. The areas of his prior interests include configuration engineering design, organizational learning, semantic interoperability, ontologies and semantic web, user modeling in ubiquitous and ambient intelligence environments, and software engineering and service oriented architectures. Dr. Hatala’s current research is framed within the area of Learning Analytics. Specifically, he builds on the learning sciences to establishing the theories of effects of open learner models on learner’s motivation with the goal to improve their learning outcomes in the online learning environments.

Research Areas

Research interests in user modeling, learning analytics, technology-enhanced learning, and artificial intelligence.

Learning Analytics

I am interested in developing understanding how to build effective visualization tools that motivate learners in their learning.

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Open Learner Models

Developing a theoretical model for studying effectiveness of OLMs for improving students' learning and developing guidelines for selecting the most effective OLM form for a particular student in a particular learning situation.

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Technology-enhanced Learning

My long-term research goal in the area of Technology-enhanced Learning is to improve students' or workers' learning through developing models of learners, learning content, and learning context and applying pedagogies in the form of reasoning on these models. I also work on infrastructure aspects of learning networks with focus on interoperability and security.

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User Modelling in Ubiquitous Environments

How do you personalize system in environments that know very little about the user, such as in the museums? How you gather information about user and reason with it to create personalized experience?

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Adaptive Systems

Designers build adaptive systems with a particular conceptual model in mind, however users' perceptions may differ.

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Software Engineering

We have developed models and methods for combining ervice-Orientation and Software Product Line Engineering.

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Current Graduate Students

My students are my closest colleagues. My students work together as a team on a set of related questions, strengthening each others accomplishments. I strongly believe in graduate students growing as researchers by being a part of a larger research project and a team and taking responsibility for their research tasks. I put great focus on mentoring my students in their ability to communicate their results through academic publishing.

Liaquat Ali

PhD Candidate

Leveraging MSLQ Data for Predicting Student Achievement Goal Orientations

Halimat Alabi

PhD Student

Area: Visual Aspects of Learning Analytics Tools

Fatemeh Salehian Kia

PhD Student

Area: Learning Analytics for Students: Effective Visualizations for Behavioural Change

Selected Publications

2016

Trace-based Micro-analytic Measurement of Self-Regulated Learning Processes

Siadaty, M., Gasevic, D., Hatala, M. "Trace-based Micro-analytic Measurement of Self-Regulated Learning Processes", Journal of learning Analytics, Vol.3, No.1, 2016, pp.183-214

The Role of Achievement Goal Orientations When Studying Effect of Learning Analytics Visualizations

Shirazi, S., Hatala, M., Gasevic, D., Joksimovic, S. "The Role of Achievement Goal Orientations When Studying Effect of Learning Analytics Visualizations," In Proceedings of the 6th International Conference on Learning Analytics & Knowledge (LAK 2016), 2016, pp. 54-63

Associations between technological scaffolding and self-regulated learning

Siadaty, M., Gasevic, D., Hatala, M. "Associations between technological scaffolding and micro-level processes of self-regulated learning: A workplace study", Computers in Human Behavior, Vol.55, 2016, pp. 1007-1019

Meassuring mpact of technological scaffolding interventions on self-regulated workplace learning

Siadaty, M., Gasevic, D., Hatala, M. "Measuring the impact of technological scaffolding interventions on micro-level processes of self-regulated workplace learning", Computers in Human Behavior, Vol. 59, 2016, pp. 469-482

2015

Effects of interaction traces on academic achievement

Joksimovic, S., Gasevic, D., Loughin, T. M.,Kovanovic, V., Hatala, M, "Learning at distance: Effects of interaction traces on academic achievement," Computers & Education, Vol. 87, 2015, pp.204-217

Effects of Learning Technology Use on Cognitive Presence in Asynchronous Online Discussions

Kovanovic, V., Gasevic, D., Joksimovic, S., Hatala, M., Adesope, S., "Analytics of Communities of Inquiry: Effects of Learning Technology Use on Cognitive Presence in Asynchronous Online Discussions," The Internet and Higher Education, Vol. 27, 2015, pp. 74-89

It quality not quantity that matters

Joksimovic, S., Gasevic, D., Kovanovic, V., Hatala, M., Riecke, B., "It quality not quantity that matters: Social presence in online discussions as a process predictor of academic achievement," Journal of Computer Assisted Learning, Vol.31, No.6, 2015, pp. 638-654

What public media reveals about MOOCs?

Kovanovic, V., Joksimovic, S., Gasevic, D., Siemens, G., Hatala, M., "What public media reveals about MOOCs?," British Journal of Educational Technology, Vol. 46, No. 3, 2015, pp. 510–527

2014

Leveraging MSLQ Data for Predicting Student Achievement Goal Orientations

Ali, L., Hatala, M., Gasevic, D., Winne, P, "Leveraging MSLQ Data for Predicting Student Achievement Goal Orientations," Journal of Learning Analytics, Vol. 1, No. 3, 2014, pp. 157-160

The Effects of Visualization and Interaction Techniques on Feature Model Configuration.

Asadi, M., Soltani, S., Gasevic, D., Hatala, M. The Effects of Visualization and Interaction Techniques on Feature Model Configuration. Empirical Software Engineering, 2014, pp. 1-38

Learning Analytics for Communities of Inquiry.

Kovanovic, V., Gasevic, D., Hatala, M. Learning Analytics for Communities of Inquiry. Journal of Learning Analytics, Vol. 1, No. 3, 2014, pp. 195-198

Learning Analytics for Networked Learning Models.

Joksimovic, S., Gasevic, D., Hatala, M. Learning Analytics for Networked Learning Models. Journal of Learning Analytics, Vol. 1, No. 3, 2014, pp. 191-194

Psychological characteristics in cognitive presence of communities of inquiry: A linguistic analysis of online discussions.

Joksimovic, S., Gasevic, D., Kovanovic, V., Adesope, O., Hatala, M. Psychological characteristics in cognitive presence of communities of inquiry: A linguistic analysis of online discussions. The Internet and Higher Education, Vol. 22, July 2014, pp. 1-10

Toward Automated Feature Model Configuration with Optimizing Non-Functional Requirements.

Asadi, M., Soltani, S., Gasevic, D., Hatala, M., Bagheri, E. Toward Automated Feature Model Configuration with Optimizing Non-Functional Requirements. Information and Software Technology, Vol. 56, No. 9, 2014, pp. 1144-1165

A Case Study of Intended Versus Actual Experience of Adaptivity in a Tangible Storytelling System.

Tanenbaum, K., Hatala, M., Tanenbaum, J., Wakkary, R., Antle, A. A Case Study of Intended Versus Actual Experience of Adaptivity in a Tangible Storytelling System. Journal of User Modeling and User Adapted Interaction, Vol. 24, Issue 3, 2014, pp.175-217

 

Contact

 

School of Interactive Arts and Technology

Simon Fraser University
250-13450 102 Ave., Surrey, BC V3T 0A3, Canada
Phone: +1-778-782-7431, Email: mhatala [at] sfu.ca