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Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Ng, Oi-Lam; Cui, Zhihao – ZDM: Mathematics Education, 2021
This paper reports on a design-based study within the context of a 3-day "digital making" (DM) summer camp attended by a group of students (aged 11-13) in grades 5 and 6. During the camp, students were presented with a set of mathematical problems to solve in a block-based programming environment, which was connected to various physical…
Descriptors: Elementary School Students, Problem Solving, Mathematics Education, Mathematical Models
Yildiz Durak, Hatice – Technology, Knowledge and Learning, 2020
The aim of this research is to determine the effects of Scratch and Alice tools and programming teaching practices on student engagement, reflective thinking and problem-solving skills and computational thinking (CT) comparatively. A quasi-experimental design was used in the research and patterns with pretest-posttest control group were chosen for…
Descriptors: Secondary School Students, Computer Science Education, Programming, Programming Languages
Chamidy, Totok; Degeng, I. Nyoman Sudana; Ulfa, Saida – Online Submission, 2020
This study aims to examine the effect of problem-based learning and tacit knowledge on problem-solving skills when students study in the laboratory. The method employed in this research was Quasi-Experimental Design. Data collection techniques were questionnaires and tests. Seventy-seven students were taken as the research participant and divide…
Descriptors: Problem Based Learning, Instructional Effectiveness, Knowledge Level, Problem Solving
Simon D. Weaver; G. Alex Ambrose; Rebecca J. Whelan – Journal of Chemical Education, 2022
Students completing undergraduate majors in chemistry are not typically required to undergo formal training in computer programming or coding. As a result, many chemistry students are graduating without skills in understanding, writing, or manipulating computer code. This skills gap places students at a disadvantage, considering the widespread and…
Descriptors: Coding, Undergraduate Students, Majors (Students), Chemistry
Lee, Joohi; Junoh, Jo – Early Childhood Education Journal, 2019
Coding is defined as the "process of assigning a code (command/rule)" (http://Techopedia.com) that allows a machine or a person to act or move (McLennan, https://www.naeyc.org/resources/pubs/tyc/feb2017/creating-coding-stories-and-games, 2017). Though machines operated by a coding system are common in children's everyday lives, there has…
Descriptors: Coding, Early Childhood Education, Developmentally Appropriate Practices, Teaching Methods
Matthee, Machdel; Turpin, Marita – Journal of Information Systems Education, 2019
Critical thinking and problem solving skills are included in the IS curriculum as foundational skills. IS education researchers recognize the importance of these skills for future IS practitioners given the complexity of the technology based society and economy of the future. However, there is limited work on how these skills are best taught in…
Descriptors: Teaching Methods, Critical Thinking, Problem Solving, Design
Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
Beckman, Joseph W. – ProQuest LLC, 2019
Information security practitioners and researchers who possess sufficient depth of conceptual understanding to reconstitute systems after attacks or adapt information security concepts to novel situations are in short supply. Education of new information security professionals with sufficient conceptual depth is one method by which this shortage…
Descriptors: Achievement Gains, Cognitive Processes, Coding, Technology
Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
Fields, Deborah; Lui, Debora; Kafai, Yasmin; Jayathirtha, Gayithri; Walker, Justice; Shaw, Mia – Computer Science Education, 2021
Background and Context: While assessment of computational thinking concepts, practices, and perspectives is at the forefront of K-12 CS education, supporting student "communication about computation" has received relatively little attention. Objective: To examine the usability of process-based portfolios for capturing students'…
Descriptors: Computer Science Education, Computation, Thinking Skills, Student Projects
Papamitsiou, Zacharoula; Economides, Anastasios A. – IEEE Transactions on Learning Technologies, 2020
Recommending educational resources to groups of students is a common task in collaborative learning contexts. However, differences in within-group motivational factors might lead to conflicts in students' intention to use the resources. Previous methods fail to achieve high goodness of recommendation for the majority of students in heterogeneous…
Descriptors: Student Motivation, Cooperative Learning, Game Theory, Educational Resources
Stange, Melissa – Inquiry, 2020
This paper will discuss why technical skills alone will not be enough for students to have successful careers in the digital age. Much of their success will hinge on critical soft skills, such as adaptability, inner strength, holistic thinking, and a collaborative spirit. Examples will be provided for inclusion with a computer science program, but…
Descriptors: Technological Literacy, 21st Century Skills, Computer Science Education, Adjustment (to Environment)
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement