Matthew Berland, “Creative Agency: Making, Learning, and Playing towards Understanding Computational Content”
2020-02-13 17:00 - 18:30 (America/New_York) | MIT Building E15, Room 318 (Common Area), 20 Ames Street, Cambridge, MA, 02139, United States
Matthew Berland, Associate Professor of Design, Informal, and Creative Education in the Department of Curriculum and Instruction at the University of Wisconsin–Madison
People often learn complex computational content most easily and deeply when they have “creative agency” – the social network, ability, skills, resources, and support to collaboratively and playfully make creative computational content in feedback-rich environments. This talk will present a lens on how we can create environments where learners are supported in developing creative agency, and how we might assess or evaluate success. Matthew Berland will cover his projects in museums, computer science classrooms, after-school clubs, and universities, showing how we can use design-based research, learning analytics, and games to enable creative agency towards more equitable outcomes and better understand how, why, and when people make and learn complex computational content together.
Matthew Berland is an Associate Professor of Design, Informal, and Creative Education in the Department of Curriculum and Instruction at the University of Wisconsin–Madison, spending 2019-2020 as a visiting scholar in CMS/W at MIT. In addition, he is the director of the UW Games Program and the Complex Play Lab and Affiliate Faculty in Computer Sciences, Information Studies, STS, and the Learning Sciences. He uses design-based research and learning analytics to design, create, and study learning environments that support students’ creativity in learning computational literacies, systems literacies, and computer science & engineering content.

Desmond Upton Patton, “Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing”
2020-02-20 17:00 - 18:30
Desmond Upton Patton, Associate Professor of Social Work, Columbia University
While natural language processing affords researchers an opportunity to automatically scan millions of social media posts, there is growing concern that automated computational tools lack the ability to understand context and nuance in human communication and language. Columbia University’s Desmond Upton Patton introduces a critical systematic approach for extracting culture, context and nuance in social media data. The Contextual Analysis of Social Media (CASM) approach considers and critiques the gap between inadequacies in natural language processing tools and differences in geographic, cultural, and age-related variance of social media use and communication. CASM utilizes a team-based approach to analysis of social media data, explicitly informed by community expertise. The team uses CASM to analyze Twitter posts from gang-involved youth in Chicago. They designed a set of experiments to evaluate the performance of a support vector machine using CASM hand-labeled posts against a distant model. They found that the CASM-informed hand-labeled data outperforms the baseline distant labels, indicating that the CASM labels capture additional dimensions of information that content-only methods lack. They then question whether this is helpful or harmful for gun violence prevention.

Marina Bers, “Coding in Early Childhood: Storytelling or Puzzle Solving?”
2020-02-27 17:00 - 18:30
Professor Marina Bers, Tufts University
Computer programming is an essential skill in the 21st century and new policies and frameworks are in place for preparing students for computer science. Today, the development of new interfaces and block-programming languages, facilitates the teaching of coding and computational thinking starting in kindergarten. However, as new programming languages that are developmentally appropriate emerge, it is not enough to copy models developed for older children, which mostly grew out of traditional STEM (Science, Technology, Engineering and Math) disciplines and instructional practices. In this talk, Prof. Marina Bers will describe current research on a pedagogical approach for early childhood computer science education called “Coding as Another Language” (CAL), grounded on the principle that learning to program involves learning how to use a new language (a symbolic system of representation) for communicative and expressive functions. Due to the critical foundational role of language and literacy in the early years, the teaching of computer science can be augmented by models of literacy instruction. Case studies of young children using either the KIBO robot or the ScratchJr app, designed by Prof Bers, to illustrate the instructional practices of CAL curriculum will be presented, as well as novel approaches using fMRI to explore what regions of the brain activate when coding.

Marina Umaschi Bers (tufts.edu/~mbers01) is a professor at the Eliot-Pearson Department of Child Study and Human Development and an adjunct professor in the Computer Science Department at Tufts University. She heads the interdisciplinary Developmental Technologies research group. Her research involves the design and study of innovative learning technologies to promote children’s positive development. She also developed and serves as director of the graduate certificate program on Early Childhood Technology at Tufts University.
Prof. Bers is passionate about using the power of technology to promote positive development and learning for young children. Bers’ philosophy and theoretical approach as well as the curriculum and assessment methods can be found in her books “Coding as Playground: Programming and Computational Thinking in the Early Childhood Classroom” (Routledge, 2018); “The Official ScratchJr Book” (2015; No Starch Press); “Designing Digital Experiences for Positive Youth Development: From Playpen to Playground” (2012, Oxford University Press); and “Blocks to Robots: Learning with Technology in the Early Childhood Classroom” (2008; Teacher’s College Press).
Prof. Bers loves teaching and in 2016 she received the Outstanding Faculty Contribution to Graduate Student Studies award at Tufts University which recognizes her mentorship.
