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Deborah O. Agbanimu; Peter A. Okebukola; Franklin U. Onowugbeda; Esther O. Peter; Adekunle I. Oladejo; Olasunkanmi A. Gbeleyi; Ibukunolu A. Ademola – Journal of Educational Research, 2025
This study investigates the effectiveness of a culturo-techno-contextual approach (CTCA) in teaching flowcharts and algorithms to junior secondary school students. Despite their importance in programming, these concepts are often difficult for students to grasp. The study involved 196 students (average age 12) who were divided into experimental…
Descriptors: Junior High School Students, Flow Charts, Algorithms, Computer Science Education
Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
Abdüsselam, Mustafa Serkan; Turan-Güntepe, Ebru – International Journal of Computer Science Education in Schools, 2021
This study aims to determine the perceptions of undergraduates, who are receiving coding in a faculty of education, on modal representations employed in the teaching process and identify their transition skills between representations. The research used the quantitative research method, non-experimental design, and descriptive search models,…
Descriptors: Undergraduate Students, Computer Science Education, Coding, Student Attitudes
Touretzky, David; Gardner-McCune, Christina; Seehorn, Deborah – International Journal of Artificial Intelligence in Education, 2023
This article provides an in-depth look at how K-12 students should be introduced to Machine Learning and the knowledge and skills they will develop as a result. We begin with an overview of the AI4K12 Initiative, which is developing national guidelines for teaching AI in K-12, and briefly discuss each of the "Five Big Ideas in AI" that…
Descriptors: Electronic Learning, Artificial Intelligence, Elementary School Students, Secondary School Students