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Stella Xin Yin; Dion Hoe-Lian Goh; Choon Lang Quek; Zhengyuan Liu – Educational Technology & Society, 2025
With the growing popularity of computational thinking (CT) classes in K-12 schools, it is important to investigate public perceptions of these initiatives. Analyzing public discussions and opinions provides valuable insights that can inform future educational policies and reforms. In this paper, we collected questions and answers related to CT…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Public Opinion
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Qing Li; Mahnaz Moallem; Jeremy Boettinger; Qijie Cai; Michael Levi – Educational Technology Research and Development, 2025
Aiming to promote equity in computing, this study proposes an educational model that offers an alternative approach to inspire K-12 students to become interested in CS and develop their computational thinking (CT) skills. It also examines the experience of marginalized students during the COVID pandemic in a learning environment grounded in the…
Descriptors: Equal Education, Student Experience, COVID-19, Pandemics
Shuqiong Lin; Megha Joshi; Kate Caton; Joseph Patrick Wilson – American Institutes for Research, 2024
The American Institutes for Research® (AIR®) partnered with Girls Who Code (GWC) to conduct an independent study evaluating the effectiveness of two GWC summer virtual programs, the Summer Immersion Program (SIP) and the Self-Paced Program (SPP), on promoting the pursuit of Computer Science (CS)-related postsecondary education for high school…
Descriptors: Females, Womens Education, Summer Programs, Program Effectiveness
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Apple, Lillian; Baunach, John; Connelly, Glenda; Gahlhoff, Sonia; Romanowicz, Colleen Megowan; Vieyra, Rebecca Elizabeth; Walker, Lucas – Physics Teacher, 2021
Multiple initiatives contend that all students should master computational thinking, including the "Next Generation Science Standards, the K-12 Framework for Computational Thinking," and Code.org. In turn, many physics teachers have begun to explore a variety of approaches to integrating computational modeling through programming. These…
Descriptors: Science Instruction, High Schools, Secondary School Science, Physics
Allison Master; Daijiazi Tang; Desiree Forsythe; Taylor M. Alexander; Sapna Cheryan; Andrew N. Meltzoff – Grantee Submission, 2023
Learning coding during early childhood is an effective way for children to practice computational thinking. Aspects of children's motivation can increase the likelihood that children approach computational thinking activities with enthusiasm and deep engagement. Gender inequities may interfere with children's readiness to take advantage of…
Descriptors: Coding, Gender Differences, Equal Education, Computer Science Education
Kim Luttgen; Kevin Huang; Eunice Chow; Shuangting Yang; Linlin Li – Grantee Submission, 2024
Rural students often face challenges in receiving high-quality education in science, technology, engineering, and math (STEM). Yet without meaningful STEM educational opportunities, rural students might not develop the knowledge and skills needed to compete in a technology-driven workforce. The Learning by Making program (LbyM), an innovative…
Descriptors: Rural Schools, STEM Education, Educational Innovation, Achievement Gap