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Richard E. Ferdig; Ilker Soytürk; Emily Baumgartner; Enrico Gandolfi – Journal of Technology and Teacher Education, 2024
Improving computer science (CS) education in PK-12 continues to be a priority for educators, researchers, and policymakers worldwide. One of the leading problems and mitigating factors of student CS success, however, is the lack of teachers prepared and qualified to teach computer science. Efforts have been made to address this issue through…
Descriptors: Computer Science Education, Self Efficacy, Beliefs, Teacher Attitudes
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Shahin Hossain; Patricia A. Young – AERA Online Paper Repository, 2024
This research introduces a culture-inclusive, systematic approach aimed at enhancing computational thinking (CT) skills among urban early childhood educators. The methodology includes pre- and post-intervention surveys, e-learning modules, and professional development workshops. Twelve urban early childhood educators from Baltimore participated in…
Descriptors: Thinking Skills, Computer Science Education, Urban Schools, Preschool Teachers
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Ramle, Rosni; Rosli, D'oria Islamiah; Nathan, Shelena Soosay; Berahim, Mazniha – International Journal of Evaluation and Research in Education, 2020
Dijkstra algorithm is important to be understood because of its many uses. However, understanding it is challenging. Various methods to teach and learn had been researched, with mixed results. The study proposes question-led approach of the algorithm in a game-based learning context. The game designed based on an existing game model, developed and…
Descriptors: Game Based Learning, Mathematics, Graphs, Instructional Effectiveness
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Zhou, Ninger; Cao, Yucheng; Jacob, Sharin; Richardson, Debra Jane – ACM Transactions on Computing Education, 2020
Effective and equitable CS [computer science] teaching is contingent on teachers' robust understanding of equity issues in CS classrooms. To this end, this study examined high school teachers' perceptions of equity during their participation in a CS teacher certificate program over two years. The participants are from various disciplines and from…
Descriptors: High School Teachers, Teacher Attitudes, Computer Science Education, Teacher Certification
Villamor, Maureen M. – Research and Practice in Technology Enhanced Learning, 2020
High attrition and dropout rates are common in introductory programming courses. One of the reasons students drop out is loss of motivation due to the lack of feedback and proper assessment of their progress. Hence, a process-oriented approach is needed in assessing programming progress, which entails examining and measuring students' compilation…
Descriptors: Novices, Problem Solving, Computer Science Education, Introductory Courses
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Weintrop, David; Coenraad, Merijke; Palmer, Jen; Franklin, Diana – ACM Transactions on Computing Education, 2020
In response to the growing call to bring the powerful ideas of computer science to all learners, education decision makers, including teachers and administrators, are tasked with making consequential decisions on what curricula to use. Often, these decision makers have not been trained in computer science and are unfamiliar with the concepts…
Descriptors: Computer Science Education, Curriculum Evaluation, Scoring Rubrics, Decision Making
Lynch, Tom Liam; Ardito, Gerald; Amendola, Pam – Eye on Education, 2020
"Integrating Computer Science Across the Core" is a guide to systematizing computer science and computational thinking practices in your school. While most books explain how to teach computer science as a stand-alone discipline, this innovative approach will help you leverage your existing curriculum to deepen and expand students'…
Descriptors: Elementary Secondary Education, Computer Science, Computer Science Education, Thinking Skills
Kathryn Irene Cunningham – ProQuest LLC, 2020
Introductory programming courses typically focus on building generalizable programming knowledge by focusing on a language's syntax and semantics. Assignments often involve "code tracing" problems, where students perform close tracking of code's execution, typically in the context of 'toy' problems. "Reading-first" approaches…
Descriptors: Programming, Coding, Teaching Methods, Introductory Courses
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Ma, Xiulin; Liu, Jingjing; Liang, Jing; Fan, Chenyu – Interactive Learning Environments, 2023
The online learning practice has already demonstrated that the quality of interaction and motivation in collaborative learning is not as good as expected, due to the loneliness and burnout feeling spawned by inadequate learning status information about others. This study proposed a model on group awareness to feedback information of group learning…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Electronic Learning
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Qian, Yingxiao; Choi, Ikseon – Educational Technology Research and Development, 2023
Echoing the increasing emphasis on STEM literacy, computational thinking has become a national priority in K-12 schools. Scholars have acknowledged abstraction as the keystone of computational thinking. To foster K-12 students' computational thinking and STEM literacy, students' ability to think abstractly should be enhanced. However, the existing…
Descriptors: Elementary Secondary Education, Computation, Thinking Skills, Abstract Reasoning
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Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
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Schwieger, Dana – Information Systems Education Journal, 2023
Many small organizations sponsor events and activities that could benefit from the data management and reporting capabilities provided through a centralized database. However, many of those organizations do not have the budget to afford a commercial solution or an on-going subscription to a cloud-based solution for a small scope event with limited…
Descriptors: Databases, Computer Software, Information Systems, Volunteers
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Mitra, Reshmi; Schwieger, Dana; Lowe, Robert – Information Systems Education Journal, 2023
Many universities have, or are facing, the task of providing high quality essential customer services with fewer financial and human resources. The growing diversity of students, their needs and proficiencies, along with the increasing variety of university program offerings, make providing customized, ondemand, automated solutions crucial to…
Descriptors: Universities, Academic Advising, Artificial Intelligence, Faculty Workload
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Sun, Junmei; Ma, Hongliang; Zeng, Yu; Han, Dong; Jin, Yunbo – Education and Information Technologies, 2023
With the rapid development of artificial intelligence (AI), the demand for K-12 computer science (CS) education continues to grow. However, there has long been a lack of trained CS teachers. To promote the AI teaching competency of CS teachers, a professional development (PD) program based on the technological pedagogical content knowledge (TPACK)…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Computer Science Education, Teacher Competencies
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He, Jie; Ma, Tingjuan; Zhang, Yongliang – Education and Information Technologies, 2023
This study implemented a blended learning mode with the aid of artificial intelligence teaching platform in the English language course. In this study, 110 students majoring in computer network were randomly selected as subjects, 55 of whom was the experimental group, the rest of 55 was the control group. Before the experiment, this study carried…
Descriptors: Blended Learning, Communities of Practice, Artificial Intelligence, College Students
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