MAJIC (Making a Just Inclusive Community) is a team within the Technological Innovations for Inclusive Learning and Teaching Lab (tiilt) that focuses on intergenerational learning and community partnerships. Our work has involved  workshops that brings caregivers and children to learn together, teacher training and prof, and work with refugee and immigrant youth. MAJIC work is currently on hiatus.

MAJIC team Art by Beck Mallwitz

Goals:

• Increasing confidence in building ideas and bringing them into reality

• Providing an environment for learners to experience their past experiences as and cultural knowledge as valuable to learning

• Using multi-modal approaches to data collection to understand learning (MMLA)

• Exploring pedagogies of care

Publications:

Best Paper Award - M. Perez, S.T. Jones, S. Lee, and M. Worsley. 2020. Intergenerational Making with Young Children. In Proceedings of Fablearn Conference Virtual New York 2020 (Fablearn’2020). ACM, New York, New York, USA.

S.T. Jones, M. Perez, S. P. Lee, K. Furuichi, and M. Worsley. 2019. Facilitation in an Intergenerational Making Activity: How Facilitative Moves Shift Across Traditional and Digital Fabrication. In Proceedings of IDC Boise conference (IDC’19). ACM, Boise, ID, USA, 6 pages.

Perez M., Furuichi K., Jones S., Lee S., Suzuki K., Worsley M., Using Multimodal Analytics to Analyze Family Interactions in a “Making” Activity. Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), CrossMMLA Workshop, 2019

The SportSense (formerly Data in Motion) project develops workshops for youth to interact with wearable technology in the context of sports. "The SportSense project imagines how unlocking new curiosities within athletes could transform the landscape of STEM learning, both in terms of who participates and types of innovations that emerge. In partnership with local organizations, we create learning environments where students are introduced to ways that technology can help them improve their athletic performance, and ways that sports can improve their understanding of STEM concepts." This project has led toward the development of Black Kids Predict.

Goals:

• Design and development of novel wearable devices in conjunction with teachers and youth

• Helping youth see the bidirectional learning opportunities between  physical computing and athletics.

• Provide opportunities for students and teachers to gain exposure and expertise in STEM+C through interdisciplinary activities.

Publications:

Stephanie T. Jones, JaCoya Thompson & Marcelo Worsley (2020): Data in Motion: Sports as a site for expansive learning, Computer Science Education, DOI: 10.1080/08993408.2020.1805287 (Link)

Clegg, T., Edouard, K., Greene, D., Jones, S., Melo, N., Nasir, N., Shapiro, R. B., Smith, M., Wright, C. G., Worsley, M., & Zimmermann-Niefield, A. (2020). Reconceptualizing Legitimate and Generative Learning Experiences in Sports and Technology. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 1 (pp. 461-467). Nashville, Tennessee: International Society of the Learning Sciences. (Link)

Melissa Perez, Stephanie Jones, JaCoya Thompson, and Marcelo Worsley. 2019. Data in motion: Supporting youth interest in athletics through multimodal data analytics. XRDS 25, 4 (July 2019), 50-53. DOI: https://doi.org/10.1145/3331073

A workshop held in collaboration with the MIT Media Lab.  The aims of this workshop were to support Kenyan students and professionals in developing technologies within the context of agriculture, accessibility, and design for manufacturing. We partnered with three local Kenyan companies in order to allow the participants to design for real applications. As a facilitator for this experience, Dr. Jones designed curriculum for using the ESP8266 IoT boards in Agriculture contexts and gave a presentation on AI and its applications.