Toward an Assessment of Students’ (Social) Computational Literacy
Michael S. Foster, Matthew Dunham, Christian M. Cammarota, Mike Verostek, Ben Zwickl, Tony E. Wong · Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference · 2024
Computational tools, particularly computer programming and statistical software, have enabled new forms of computational course assignments using tools such as Jupyter Notebooks and Minitab.With computation becoming ubiquitous within STEM, and society writ large, computational literacy -or the skills, knowledge, and beliefs students need in order to use computation -is an important construct to assess.Indeed, there is a need for an assessment rubric that can be used across multiple computational tools to better understand students' performances with these tools.In this study, we focused on the development of an assessment rubric for students' social computational literacy.Building off Odden et al.'s (2019) framework, we analyzed three students' artifacts and interviews for social practices, knowledge, and beliefs.We present the beginning phase of an assessment rubric identifying social computational literacy through students' social knowledge and beliefs.