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Tom Harrison; Gianfranco Polizzi; Shane McLoughlin; Francisco Moller – Education and Information Technologies, 2024
Cyber-wisdom is the ability to know and do the right thing at the right time, when using digital technologies, and is a concept that is gaining attention from educators. Whilst the theory and practice of cyber-wisdom education is established, to date there has been no attempt to investigate how the virtue of cyber-wisdom might be measured. This is…
Descriptors: Computer Literacy, Citizenship Education, Measurement, Computer Science Education
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Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – ACM Transactions on Computing Education, 2025
The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…
Descriptors: Artificial Intelligence, Middle School Students, High School Students, Computer Science Education
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Pruthikrai Mahatanankoon; James R. Wolf – Journal of Information Systems Education, 2025
Advances in information and communication technologies (ICT) coupled with artificial intelligence have made computer programming skills indispensable for IT majors and for an increasing number of other science, technology, engineering, and mathematics (STEM) disciplines. Like any hands-on skill, mastering computer programming requires dedicated…
Descriptors: Measures (Individuals), Programming, Undergraduate Students, Computer Science Education
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Rongxiu Wu; Susan Sunbury; Philip Sadler; Gerhard Sonnert – Education and Information Technologies, 2024
Student identity measures in Science, Technology, Engineering, and Mathematics (STEM) fields are a strong predictor of future persistence in those disciplines. However, there is a paucity of studies with validated measures of students' computer science (CS) identity. The aim of the present study was to assess the reliability and validity of a…
Descriptors: Test Reliability, Test Validity, Computer Science Education, Self Concept
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Nicole D. Martin; Stephanie N. Baker; Madeline Haynes; Jayce R. Warner – Computer Science Education, 2024
Background and Context: As computer science (CS) education expands and the need for well-prepared CS teachers grows, understanding what motivates teachers to teach CS can help address challenges to recruiting, preparing, and retaining teachers. Objective: The goal of this work was to develop and validate a scale that measures teachers' motivation…
Descriptors: Computer Science Education, Teacher Motivation, Measurement Techniques, Construct Validity
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Gamze Türkmen; Sinan Hopcan; Elif Polat – Journal of Learning and Teaching in Digital Age, 2024
This research explores how metacognitive strategies influence the metacognitive awareness of undergraduate students enrolled in an online flipped programming course. It specifically focuses on regulatory actions crucial for success in programming instruction and distance education settings. The primary objective is to contribute to the existing…
Descriptors: Undergraduate Students, Metacognition, Online Courses, Programming
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Roxana Quintero-Manes; Camilo Vieira – Journal of Computing in Higher Education, 2025
This study had two objectives: (1) to evaluate the validity of an instrument for measuring differentiated cognitive loads in its Spanish version; and (2) to evaluate the three types of cognitive loads and their relationship with self-efficacy, self-concept, and interest in programming of students in an introductory course. Understanding and…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Self Efficacy
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Luis Morales-Navarro; Michael T. Giang; Deborah A. Fields; Yasmin B. Kafai – Computer Science Education, 2024
Background and Context: Few instruments exist to measure students' CS engagement and learning especially in areas where coding happens with creative, project-based learning and in regard to students' self-beliefs about computing. Objective: We introduce the CS Interests and Beliefs Inventory (CSIBI), an instrument designed for novice secondary…
Descriptors: Computer Science Education, Student Attitudes, Beliefs, Self Concept
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Elif Polat; Zafer Kadirhan; Sinan Hopcan; Hatice Yildiz Durak; Sedef Canbazoglu Bilici – European Journal of Education, 2025
This study aims to examine the structures that affect the teaching motivation of in-service teachers. In this context, self-efficacy in teaching computational thinking and professional identity have been focused on. To that end, the relational screening model has been used. A demographic information form and three different scales were used to…
Descriptors: Teacher Motivation, Professional Identity, Turkish, Teacher Attitudes
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Lijun Shen; Zitsi Mirakhur; Sarah LaCour – Computer Science Education, 2025
Background and Context: Educators and researchers are interested in building the computational thinking (CT) skills of K-12 students. However, the availability of language-agnostic assessments for lower elementary graders remains limited. Objective: We present preliminary insights into the reliability and validity of the Computational Thinking…
Descriptors: Thinking Skills, Gender Differences, Computer Science Education, Elementary School Students
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Fu, Qian; Zhang, Li-Wen; Hong, Jon-Chao; Dong, Yan – Australasian Journal of Educational Technology, 2021
Learning programming challenges students who encounter difficulties such as resolving syntax and format errors. These challenges require students to invoke resilience to overcome programming problems and keep trying. In response, this study developed the programming resilience scale for university students (PRSUS). The snowball-sampling method was…
Descriptors: Test Construction, Test Validity, Programming, Resilience (Psychology)
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Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
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Poulsen, Seth; Herman, Geoffrey L.; Peterson, Peter A. H.; Golaszewski, Enis; Gorti, Akshita; Oliva, Linda; Scheponik, Travis; Sherman, Alan T. – ACM Transactions on Computing Education, 2022
We present a psychometric evaluation of a revised version of the "Cybersecurity Concept Inventory" ("CCI"), completed by 354 students from 29 colleges and universities. The CCI is a conceptual test of understanding created to enable research on instruction quality in cybersecurity education. This work extends previous expert…
Descriptors: Psychometrics, Computer Security, Measures (Individuals), Computer Science Education
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Filiz Kuskaya Mumcu; Branko Andic; Mirjana Maricic; Mathias Tejera; Zsolt Lavicza – Journal of Educational Technology and Online Learning, 2025
Many education policy strategy documents at the European Union level, as well as national strategies of various countries, recommend including computational thinking as a fundamental skill in curricula. The professional development of teachers should be supported to disseminate computational thinking in K12 education. Teachers' value beliefs about…
Descriptors: Teacher Attitudes, Value Judgment, Beliefs, Computation
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Gunbatar, Mustafa Serkan – Pakistan Journal of Distance and Online Learning, 2023
This study aimed to evaluate the Online Flipped Classroom (OFC) instruction process in the context of Transactional Distance (TD) and Cognitive Load (CL). The study was conducted using a mixed-methods design. The participants were nine graduate students. One of them participated in the process asynchronously and seven of them participated…
Descriptors: Online Courses, Cognitive Ability, Measures (Individuals), Synchronous Communication
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