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Goudouris, Cesar; de Abreu Mol, Antônio Carlos; Legey, Ana Paula; de Carvalho, Paulo Victor Rodrigues; Freire, Joana Loureiro; Martins, Bianca Maria Rego; Jatobá, Alessandro – Education and Information Technologies, 2020
Teaching computer programming to children and adolescents has become popular in recent years. This popularity has resulted in increased research into techniques for teaching introductory programming using visual languages, especially block-based languages. This study aims to explore new possibilities for teaching programming by adopting a hybrid…
Descriptors: High School Students, Computer Science Education, Programming, Teaching Methods
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Smith, Julie M. – Journal of Computers in Mathematics and Science Teaching, 2020
In contrast to the experience of other professional fields, the percentage of women in computer science has decreased substantially in recent decades. This phenomenon is a significant and growing problem in a society where new technologies impact nearly every facet of life, including criminal justice and health care. This study examines whether…
Descriptors: Females, Computer Science Education, College Students, Predictor Variables
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Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Malan, David J. – Journal of Computer Assisted Learning, 2020
Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students'…
Descriptors: Computation, Thinking Skills, Assignments, Predictor Variables
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Spieler, Bernadette; Grandl, Maria; Ebner, Martin; Slany, Wolfgang – Electronic Journal of e-Learning, 2020
Knowledge in Computer Science (CS) is essential, and companies have increased their demands for CS professionals. Despite this, many jobs remain vacant. Furthermore, computational thinking (CT) skills are required in all contexts of problem solving. A further serious problem arises from the gender disparity in technology related fields. Even if…
Descriptors: Computer Science Education, Online Courses, College Freshmen, Foreign Countries
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Bass, Eric; De Jong, David – International Journal of Educational Leadership Preparation, 2020
Computer science education has seen a large national push to be included in the K-12 curriculum (Fluck, Webb, Cox, Angeli, Malyn-Smith, Voogt, & Zagami, 2016; Theresa Avancena & Nishihara, 2014; Veletsianos, Beth, Lin, & Russell, 2016; Yadav, Gretter, Hambrusch, & Sands, 2016). Students are leaving schools and entering an economy…
Descriptors: Computer Science Education, Graduation Requirements, Elementary Secondary Education, High School Students
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Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
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Kussmaul, Clif – Information Systems Education Journal, 2020
This case describes a classroom activity that explores a fictional software product company to help students learn about ways that businesses make money from software, including Free & Open Source Software (FOSS). The activity shows how a company might evolve through different business models, but does not imply that some models are always…
Descriptors: Class Activities, Computer Software, Computer Science Education, Inquiry
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Iatrellis, Omiros; Savvas, Ilias K.; Kameas, Achilles; Fitsilis, Panos – Education and Information Technologies, 2020
The present research work proposes the development of an integrated framework for the personalization and parameterization of learning pathways, aiming at optimizing the quality of the offered services by the Higher Educational Institutions (HEI). In order to achieve this goal, in addition to the educational part, the EDUC8 framework encloses the…
Descriptors: Higher Education, Learning Processes, Electronic Learning, Semantics
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Saritepeci, Mustafa – Asia-Pacific Education Researcher, 2020
This paper is to investigate into the effect of design-based learning (DBL) activities and programing training on computational thinking (CT) skills. In total, 119 from the ninth grade students were recruited for this study conducted within the scope of Computer Science course. A semi-experimental research design was adopted, and DBL activities…
Descriptors: Computation, Thinking Skills, Skill Development, High School Students
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Celis Rangel, Jakeline G.; King, Melissa; Muldner, Kasia – ACM Transactions on Computing Education, 2020
Learning to program requires perseverance, practice, and the mindset that programming skills are improved through these activities (i.e., that everyone has the potential to become good at programming). In contrast to an entity mindset, individuals with an incremental mindset believe that ability is malleable and can be improved with effort. Prior…
Descriptors: Intervention, Cognitive Structures, Programming, Learning Activities
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Istiningsih, Istiningsih – World Journal on Educational Technology: Current Issues, 2022
To investigate the impact of the integration of information and communication technology (ICT) on the development of the Technological Pedagogical Content Knowledge (TPACK) framework for Vocational High School teachers in the Digital Era 4.0, this research will look at the integration of ICT. The evaluation of the Online Learning Implementation…
Descriptors: Educational Technology, Technology Uses in Education, Pedagogical Content Knowledge, Technological Literacy
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Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
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Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
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Bezerra, Juliana de Melo – International Association for Development of the Information Society, 2018
Beyond cognitive competence, other abilities are relevant to labor market nowadays, including critical thinking, self confidence, teamwork and communication. It is then important to introduce in the learning process practices that contribute to both the acquirement of knowledge and the development of soft skills. A prominent answer to this…
Descriptors: Group Testing, Cooperative Learning, Computer Science Education, Outcomes of Education
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