基本信息
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个人简介
My research interests include computing education, learning analytics, artificial intelligence, and user experience. I create and test interactive electronic books for introductory computing courses. Interactive ebooks have a great potential for improving learning through active learning, immediate feedback, and spaced practice. Log file data can be analyzed to provide teachers and students with actionable information. My ebooks use principles from educational psychology to improve learning. In particular, I reduce the frustration that many learners feel, by using a worked example plus low cognitive load practice approach. In this approach, students study expert solutions to programming problems and then solve similar practice problems. I focus on Parsons problems in which the correct code for a problem is given, but the code is broken into blocks and mixed up. The learner must select blocks and place them in the correct order. I invented adaptive Parsons problems to better scaffold learning. I am currently studying and refining adaptive Parsons problems. Future plans include creating and supporting a community of learners and authors in online learning environments. I am also passionate about increasing diversity in computing. I created Rise UP 4 CS to help underrepresented high school students succeed in their Advanced Placement Computer Science courses. This project provides additional help sessions to high school students in AP CS courses and uses undergraduate students as near-peer role models and mentors. It uses one of the interactive ebooks I created.
研究兴趣
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Technical Symposium on Computer Science Educationpp.1000-1006, (2024)
CoRR (2024): 1686-1687
Technical Symposium on Computer Science Educationpp.1662-1663, (2024)
SIGCSE (2) (2023)
International Computing Education Research Workshoppp.15-26, (2023)
PROCEEDINGS OF THE 2022 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2022, VOL. 1pp.15-26, (2023)
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