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Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
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Nouri, Jalal; Zhang, Lechen; Mannila, Linda; Norén, Eva – Education Inquiry, 2020
Teachers around the world have started teaching programming at the K-9 level, some due to the formal introduction of programming in the national curriculum, others without such pressure and on their own initiative. In this study, we attempted to understand which skills -- both CT-related and general -- are developed among pupils in the process of…
Descriptors: Skill Development, Computer Science Education, 21st Century Skills, Thinking Skills
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Csernoch, Mária; Biró, Piroska; Abari, Kálmán; Máth, János – Acta Didactica Napocensia, 2015
Within the framework of the Testing Algorithmic and Application Skills project we tested first year students of Informatics at the beginning of their tertiary education. We were focusing on the students' level of understanding in different programming environments. In the present paper we provide the results from the University of Debrecen, the…
Descriptors: Foreign Countries, Information Science Education, College Freshmen, Mathematics
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Carruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
Scanlan, Neda S. – Computers, Reading and Language Arts, 1984
Delineates the five skill areas needed to maximize computer competency--concept formation, comprehension, problem solving, study techniques, and occupational reading and employability skills. (CRH)
Descriptors: Basic Skills, Comprehension, Computer Science, Computer Science Education
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Dyck, Jennifer L.; Mayer, Richard E. – Journal of Educational Psychology, 1989
Computer-naive university students (N=124) were taught the BASIC programing language by solving and receiving feedback on program comprehension problems stated in BASIC or on corresponding problems stated in English followed by problems stated in BASIC. Results support a sequential method of instruction beginning with use of natural language…
Descriptors: College Students, Comprehension, Computer Assisted Instruction, Computer Science Education
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Shibli, Abdullah – College Teaching, 1992
In college courses in statistics and computer programing, learning can be enhanced when students are required to express formulas and notations in writing. This approach helps improve concept formation, comprehension, problem solving, and ability to draw conclusions and interpretations. Attention to syntax and form is important. (MSE)
Descriptors: College Instruction, College Mathematics, Comprehension, Computer Science