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Showing 1 to 15 of 68 results Save | Export
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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
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Mariyam Abdulhadi; Fred Awaah; Deborah Agbanimu; Emmanuel Okyere Ekwam; Emmanuella Sefiamor Heloo – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The lecture method has been compared with teaching methods such as flip learning, cooperative learning and simulations to establish which holds the key to students' understanding of concepts. What is bereft in the education literature is its comparative efficiency with the culturo-techno contextual approach (CTCA) in the teaching of…
Descriptors: Foreign Countries, Developing Nations, Computer Science Education, Cultural Context
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Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
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Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
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Ryan, Zachary D.; DeLiema, David – Instructional Science: An International Journal of the Learning Sciences, 2023
This paper articulates an approach to incorporating instructor feedback in design-based research. Throughout the process of designing and implementing curriculum to support middle school students' debugging practices in a summer computer science workshop, our research and practice team utilized instructor-generated conjecture maps as boundary…
Descriptors: Teaching Methods, Feedback (Response), Teacher Attitudes, Computer Science Education
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Hillary Chelednik; Cassie Quigley; Holly Plank; Amanda Godley; Tinukwa Boulder – Australian Educational Researcher, 2025
The purpose of this cross-case analysis is to understand how mathematics and English Language Arts (ELA) educators integrated social justice (SJ)-oriented computer science (CS) instruction into middle school classrooms. An integrated curriculum synthesises content and methods from two or more fields to teach curricular concepts and solve complex…
Descriptors: Computer Science Education, Teaching Methods, Social Justice, Mathematics Teachers
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Ana Paula da Silva; Aluizio Haendchen Filho; Edilson Ferneda; Hércules Antonio do Prado; André Luís Alice Raabe – Educational Technology Research and Development, 2025
Teaching Computer Science concepts, such as graph theory, is often challenging. This study proposes an approach for teaching graph theory using an unplugged game ("GraphGame") developed through a participatory design process that includes usage observation, clarifying meaning, prototyping, and implementation. This process was carried out…
Descriptors: Educational Games, Graphs, Computer Science Education, Teaching Methods
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Karen Woo; Garry Falloon – Computer Science Education, 2025
Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…
Descriptors: Coding, Computer Science Education, Curriculum Development, Thinking Skills
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Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
David E. Platt – ProQuest LLC, 2024
This qualitative, phenomenological research study explores the best practices that secondary Grades 6-12 educators employ when using microcontrollers in the classroom. Governmental and private organizations have investigated and promoted the importance of Science, Technology, Engineering, Math (STEM) and computer science in education (Code…
Descriptors: Best Practices, Teaching Methods, Computer Science Education, Programming
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Plangg, Simon; Fuchs, Karl Josef – International Journal for Technology in Mathematics Education, 2022
Using robot programming activities for learning in the classroom is one way to drive interest and engagement in the STEM field among students, especially girls. And this is afield that is particularly characterized by an underrepresentation of women. Accordingly, many countries are increasingly integrating activities related to computer science…
Descriptors: Robotics, Programming, STEM Education, Computer Science Education
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Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
Janice D. Gobert; Haiying Li; Rachel Dickler; Christine Lott – Grantee Submission, 2024
An intelligent tutoring system (ITS, henceforth) is currently defined as a computer system that delivers personalized instruction to students by using computational techniques to evaluate the learner in a variety of ways, including (but not limited to) their prior knowledge, competency/skill levels, motivation, and affective states. ITSs are…
Descriptors: Artificial Intelligence, Scaffolding (Teaching Technique), Computer Science Education, Teaching Methods
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Adeli Ynostroza-Ochoa; Sylvia Celedón-Pattichis; Marios S. Pattichis; Irán Tovar; Melissa Ibarra – International Journal of Multicultural Education, 2025
Although there have been efforts to broaden the participation of underrepresented students in Science, Technology, Engineering, and Mathematics (STEM), few studies have focused on how Latine bilingual students in rural contexts can access computer programming. The purpose of this case study is to examine how translanguaging facilitates…
Descriptors: Computer Science Education, Code Switching (Language), Second Language Learning, Native Language
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Ajay Kumar Yadav; Dil Prasad Shrestha – International Journal of Computer Science Education in Schools, 2025
This study analyses the Computer Science (CS) curricula for grades 9 and 10 in Nepal, emphasising students' interests and needs within the social context. The study applied the mixed-methods research design. The quantitative data were collected from questionnaire surveys with students and teachers. The qualitative information was collected from…
Descriptors: Computer Science Education, Curriculum Development, Secondary School Students, Student Interests
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