Assistant Professor of Instructional Technology and Learning Sciences
Jina Kang loves to experience the world through travel, story, and photography. She encourages her students to take care of themselves and to set goals that will help them define the story of their career.
Jina’s professional story started in South Korea, where she studied Astronomy and Space Science. Then she joined the Learning Technologies program at the University of Texas at Austin.
Jina’s research focuses on how we can help students practice data literacy skills, and how we can use emerging technologies to understand STEM learning. Jina designs serious games and simulations, as well as studying how students interact with these technologies.
Jina is looking for research students interested in STEM education, data literacy, learning analytics, and educational data mining, as well as students interested in designing and developing games and simulations.
Connection of Earth and Sky with Augmented Reality (CEASAR)
In this project, small groups are tasked with designing solutions to engineering problems in future workplace scenarios. The project aims to develop a robust collaborative learning scenario and apply analytics to understand and measure the success of collaborative learning interactions within the CEASAR environment. See more at https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822796
An Embodied Cyberlearning Platform for Gestural Interaction
Embodied notions of cognition state that learning is supported by the physical movements of the learner. Advances in motion capture technology afford new learning environment design where learners create and manipulate digital representations of core ideas in a variety of domains using their movements. Jina works alongside Robb Lindgren at University of Illinois at Urbana-Champaign. Jina and the research team have developed a new platform, called ELASTIC³S, to develop and research such cyberlearning experiences.
Lindgren, R., Morphew, J., Kang, J., & Junokas, M. (2019). An Embodied Cyberlearning Platform for Gestural Interaction with Cross‐Cutting Science Concepts. Mind, Brain, and Education, 13(1), 53-61.
Student’s Full-Body Experience with a Science Learning Simulation
This project is part of Jina's Embodied Cyberlearning project, above. The goal is to analyze volume and speed of student movement generated from Kinect. The project investigates whether the massive amounts of dynamic data recorded from students can generate personalized artifacts that could be leveraged to improve an individual’s learning experience and system performance. (Kang, J., Lindgren, R., & Planey, J. (2018). Exploring emergent features of student interaction within an embodied science learning simulation. Multimodal Technologies and Interaction, 2(3), 39.)
Collaborative Problem-Solving of Student Interaction with a Science Serious Game
The goal of this project is to examine different data analytics methods and discover an appropriate method to analyze fine-grained data captured during students’ technology-supported collaborative learning.
Kang, J., An, D., Yan, L., & Liu, M. (in press). Collaborative problem-solving process in a science serious game: Exploring Group Action Similarity Trajectory. In Proceedings of the 12th International Conference on Educational Data Mining (EDM).
Dr. Jina Kang's research explores how students learn complex skills in open-ended learning environments. In particular, she studies diverse approaches of understanding multimodal data derived from different learning environments that could lead to novel insights into learners' unique behaviors such as solution paths to problems and actions in either physical or digital environments, and better designing learning environments including pedagogical approaches and materials.
Current Research interests include:
- Designing and Investigating Collaborative Learning Practices around Solar Engineering Design Challenges Using Models Of Planetary Astronomy In The Context Of Immersive Augmented Reality
- Investigating Students’ Full-body Interaction With An Embodied Science Learning Simulation
- Identifying Collaborative Problem-solving Process Within A Science Serious Game
ITLS 5290/6290 - Multimedia Production for Instruction and Training
ITLS 6195 - Practicum in eLearning
ITLS 6960 - Creative Project
ITLS (Fall 2019)- Data Visualization
ITLS (coming soon)- Game Analytics
Ph.D. in Curriculum and Instruction with concentration in Learning Technologies University of Texas at Austin–Texas, United States, 2017
M.A. in Curriculum and Instruction with concentration in Learning Technologies University of Texas at Austin–Texas, United States, 2012
M.S. in Astronomy and Space Science Kyung Hee University–Seoul, Republic of Korea, 2003
B.S. in Astronomy and Space Science Kyung Hee University–Seoul, Republic of Korea, 2001
See C.V or Google Scholar for a comprehensive list of publications.