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Amanda Peel; Sugat Dabholkar; Gabriella Anton; Mike Horn; Uri Wilensky – Computer Science Education, 2024
Background and Context: To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings. Objective: Our team worked…
Descriptors: Biology, Computer Science Education, Science Instruction, Thinking Skills
Shah, Niral; Christensen, Julie A.; Ortiz, Nickolaus A.; Nguyen, Ai-Khanh; Byun, Sunghwan; Stroupe, David; Reinholz, Daniel L. – Computer Science Education, 2020
Background and Context: Computing is being integrated into a range of STEM disciplines. Still, computing remains inaccessible to many minoritized groups, especially girls and certain people of color. In this mixed methods study, we investigated racial and gendered patterns of equity and inequity in high school physics classrooms incorporating…
Descriptors: Physics, Science Instruction, Gender Differences, Equal Education
Armoni, Michal; Ginat, David – Computer Science Education, 2008
Reversing is the notion of thinking or working in reverse. Computer science textbooks and tutors recognize it primarily in the form of recursion. However, recursion is only one form of reversing. Reversing appears in the computer science curriculum in many other forms, at various intellectual levels, in a variety of fundamental courses. As such,…
Descriptors: Computer Science Education, Problem Solving, Computer Science, Models
Kolikant, Y. Ben-David; Mussai, M. – Computer Science Education, 2008
We studied students' conceptions of correctness and their influence on students' correctness-related practices by examining how 159 students had analyzed the correctness of error-free and erroneous algorithms and by interviewing seven students regarding their work. We found that students conceptualized program correctness as the sum of the…
Descriptors: Misconceptions, Computer Science Education, Science Instruction, Programming
Tutty, J.; Sheard, J.; Avram, C. – Computer Science Education, 2008
This paper builds on previous research into teachers' conceptions of learning and teaching with an investigation of information technology academics. Using a phenomenographic approach to build a model of IT academics experiences and practice of teaching, we aimed to identify any specific issues that academics in the IT discipline face and to…
Descriptors: Higher Education, Discipline, Information Technology, Teaching Methods
Muller, Orna; Haberman, Bruria – Computer Science Education, 2008
Abstraction is a major concept in computer science and serves as a powerful tool in software development. Pattern-oriented instruction (POI) is a pedagogical approach that incorporates patterns in an introductory computer science course in order to structure the learning of algorithmic problem solving. This paper examines abstraction processes in…
Descriptors: Computer Science Education, Problem Solving, Computer Software, Pattern Recognition
Clement, John M. – Computer Science Education, 2004
In educational research, investigators in one field are often ignorant of similar research in other fields. Physics education in particular has undergone dramatic reforms in recent years, all based on insights gained from conducting educational research. Often, pedagogical methods resulting from research in one field can be revised and transferred…
Descriptors: Computer Science Education, Educational Research, Action Research, Physics