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Nattaphol Thanachawengsakul; Ittipaat Suwathanpornkul; Orn-uma Charoensuk – International Education Studies, 2024
The purpose of this research was to analyze the confirmatory components of the computational thinking learning competency measurement model. The sample group consisted of 240 students in the Bachelor of Education Program in Computer and Digital Technology for Education in Years 2-4 of five of the Rattanakosin Rajabhat Universities. Data collection…
Descriptors: Factor Analysis, Undergraduate Students, Thinking Skills, Computer Science Education
Yusuf, Abdullahi; Noor, Norah Md – Journal of Computer Assisted Learning, 2023
Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students'…
Descriptors: Programming, Computer Science Education, Attitude Measures, Student Attitudes
Torres Jiménez, Stephanie; Ramírez-Echeverry, Jhon Jairo; Restrepo-Calle, Felipe – Journal of Educational Computing Research, 2024
This article presents the design, construct validation, and reliability of a self-report instrument in Spanish that aims to characterize different types of strategies that students can use to learn computer programming. We provide a comprehensive overview of the identification of learning strategies in the existing literature, the design and…
Descriptors: Test Construction, Construct Validity, Test Reliability, Questionnaires
Miitta Järvinen; Katriina Sipiläinen; Janne Roslöf; Sami Lehesvuori; Lauri Kettunen; Raija Hämäläinen – European Journal of Engineering Education, 2025
This study explored the learning experiences of first-year information technology students at the beginning of their studies. Identifying the early experiences is important, as we know they can predict later challenges and persistence in studies. We focus on a novel understanding of relations between learning approaches, self-efficacy and burnout…
Descriptors: Information Technology, College Freshmen, Computer Science Education, Self Efficacy
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)
Melike Hanedar; Gizem Ozyazici; Gaye Defne Ceyhan – Environmental Education Research, 2024
Plausibility perceptions about climate change influence learner engagement, motivation, and knowledge acquisition, thereby shaping the effectiveness of climate change education. The Plausibility Perception Measure (PPM) was originally developed following the Fourth Assessment Report of the Intergovernmental Panel on Climate Change in 2007. There…
Descriptors: Measures (Individuals), Test Validity, Climate, Change
Josef Guggemos; Roman Rietsche; Stephan Aier; Jannis Strecker; Simon Mayer – International Association for Development of the Information Society, 2024
Technological advancements, particularly in artificial intelligence, significantly transform our society and work practices. Computational thinking (CT) has emerged as a crucial 21st-century skill, enabling individuals to solve problems more effectively through an automation-oriented perspective and fundamental concepts of computer science. To…
Descriptors: Computation, Thinking Skills, 21st Century Skills, Test Construction
Mahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
Ragazou, Vasiliki; Karasavvidis, Ilias – Interactive Technology and Smart Education, 2023
Purpose: Software training is a new trend in software applications. A key problem with software training is that video tutorials are developed without considering the target audience. Although video tutorials are popular, little attention is given to their design features. This study aims to investigate how two multimedia research principles,…
Descriptors: Visual Aids, Cues, Task Analysis, Video Technology
Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes
Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
Mese, Can – International Journal of Contemporary Educational Research, 2021
Interest has a key role in the learning and teaching processes. However, interest could be categorized as individual, situational, and topic interest. Situational interest that educators could design, develop, and organize with instructional design is the most significant. The structure of situational interest consists of triggered situational…
Descriptors: Foreign Countries, Likert Scales, Interest Inventories, Instructional Design
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Anthonysamy, Lilian; Ah Choo, Koo; Soon Hin, Hew – Malaysian Journal of Learning and Instruction, 2021
Purpose: The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes…
Descriptors: Metacognition, Learning Strategies, Private Colleges, Foreign Countries