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Chih-Hung Chen; Hsiang-Yu Chung – Journal of Educational Computing Research, 2024
Computational thinking (CT) has gained considerable attention and in-depth discussion over the last two decades. Although the significance of CT has been highlighted, it could be challenging for educators to teach CT. Fortunately, adopting robots in education has been evidenced to be of benefit to promoting students' learning motivation, CT, and…
Descriptors: Computation, Thinking Skills, Teaching Methods, Programming
Betül Tonbuloglu – Education and Information Technologies, 2024
The purpose of this research is to evaluate the potential of use for computer science course designs (CSCD) created by game-based learning method. Qualitative case study was used as the research design. CSCDs created for Minecraft Education Edition (MinecraftEdu) were examined in the context of various criteria by document analysis method, and…
Descriptors: Game Based Learning, Computer Science Education, Video Games, Computer Assisted Design
Katie A. McCarthy; Gregory A. Kuhlemeyer – Journal of Statistics and Data Science Education, 2024
To meet the demands of industry, undergraduate business curricula must evolve to prepare analytics-enabled professionals in fields such as finance, accounting, human resource management, and marketing. In this article, we provide a case study of developing a rigorous, integrated finance and data analytics course that was delivered using a…
Descriptors: Statistics Education, Finance Occupations, Course Content, Teaching Methods
Haipeng Wan; Xue Zhang; Xinxue Yang; Shan Li – Education and Information Technologies, 2024
This study investigated the impact of problematization-oriented scaffolding and structuring-oriented scaffolding, incorporated within instructional videos, on students' computational thinking and their performance in programming education. We recruited 86 participants from three senior classes at a high school. Each of the three classes was…
Descriptors: Scaffolding (Teaching Technique), Instructional Design, Thinking Skills, Computer Science Education
Anand Jeyaraj – Journal of Information Systems Education, 2024
A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…
Descriptors: Scaffolding (Teaching Technique), Business Administration Education, Data Analysis, Programming Languages
Anna Perez; Maria Svensson; Jonas Hallström – Design and Technology Education, 2024
This study explores the changing landscape of technology teacher education, in relation to the increasing integration of digital content, especially programming, in teacher education for grades 4-6 (pupils 10-12 years old) and how student teachers in Sweden perceive this content. Limited research exists on student teachers in technology,…
Descriptors: Teacher Education, Programming, Computer Science Education, Student Teachers
Fadip Audu Nannim; Nnenna Ekpereka Ibezim; Basil C. E. Oguguo; Emmanuel Chinweike Nwangwu – Education and Information Technologies, 2024
This study investigated the effect of project-based Arduino robot application on students' computational thinking skills development in robotics programming course using the quasi-experimental research design. The participants consist of 73 students in tertiary institutions in South-East Nigeria that offer Computer and Robotics Education…
Descriptors: Robotics, Computation, Thinking Skills, Skill Development

Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
Yuchen Chen; Yun-Fang Tu; Xinli Zhang; Gwo-Jen Hwang – Educational Technology & Society, 2024
As technology-enhanced children's learning has gained wide attention, programmable robots have been gradually introduced in early childhood education. Hence, it would be valuable to understand how young children perceive robot programming learning. Draw-a-picture technique is an ideal method to elicit ideas, thoughts, and feelings for children…
Descriptors: Robotics, Computer Science Education, Gender Differences, Freehand Drawing
Modesti, Paolo – Informatics in Education, 2020
As the number of software vulnerabilities discovered increases, the industry is facing difficulties to find specialists to cover the vacancies for security software developers. Considering relevant teaching and learning theories, along with existing approaches in software security education, we present the pedagogic rationale and the concrete…
Descriptors: Computer Security, Computer Software, Computer Science Education, Programming
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2020
Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…
Descriptors: Coding, Science Education, Science Instruction, Models
Ladwig, Christine; Schwieger, Dana – Information Systems Education Journal, 2020
This case provides an opportunity for classroom discussion of ethical issues addressed by computing technologists and the Association of Computing Machinery (ACM) Code of Ethics as the authors describe a recent lawsuit brought against Sutter Health. Security issues, data breaches and compliance with industry privacy rules are common concerns for…
Descriptors: Ethics, Coding, Programming Languages, Legislation
Menon, Pratibha; Kovalchick, Lisa – Information Systems Education Journal, 2020
Concept mapping, a tool originally developed to facilitate student learning by organizing and visualizing key concepts and their relationships, can also be used to represent the composition of the knowledge contained in a course. In this paper, the authors describe a specific application of concept mapping to help instructors and students…
Descriptors: Concept Mapping, Introductory Courses, Programming, Computer Science Education
Fronza, Ilenia; Corral, Luis; Pahl, Claus – Informatics in Education, 2020
Computer programming skills have been growing as a professional competence also to unqualified end-users who need to develop software in their professional practice. Quality evaluation models of end-user-developed products are still scarce. In this paper, we propose a metric that leverages "When", a condition typically found in…
Descriptors: Computer Software, Computer Software Evaluation, Difficulty Level, Programming Languages