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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
Anna van der Meulen; Mijke Hartendorp; Wendy Voorn; Felienne Hermans – Computer Science Education, 2024
Background and Context: In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract computational concepts. Objective: In this study, we use the model of the layers of abstraction to explore how learners with…
Descriptors: Blindness, Visual Impairments, Students with Disabilities, Programming
Christina N. Morra; Sarah J. Adkins; M. Elizabeth Barnes; Obadiah J. Pirlo; Ryleigh Fleming; Bianca J. Convers; Sarah P. Glass; Michael L. Howell; Samiksha A. Raut – Journal of Microbiology & Biology Education, 2024
Misinformation regarding vaccine science decreased the receptiveness to COVID-19 vaccines, exacerbating the negative effects of the COVID-19 pandemic on society. To mitigate the negative societal impact of the COVID-19 pandemic, impactful and creative science communication was needed, yet little research has explored how to encourage COVID-19…
Descriptors: Undergraduate Students, COVID-19, Immunization Programs, Pandemics
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
Hui Zhang; Haihan Zhang; Qian Zhang – Innovations in Education and Teaching International, 2024
Computer programming and municipal engineering (ME) students' specialised knowledge are still poorly integrated, leading to limited improvement of students' programming abilities. This paper describes an effective attempt in ME at Xi'an University of Architecture and Technology (XAUAT). Students were divided into several teams and required to…
Descriptors: Engineering Education, Municipalities, Skill Development, Universities
Hedia Mhiri Sellami – Education and Information Technologies, 2024
This study describes an experiment in which engineering students create serious games (SG) that tackle problems relevant to their jobs. This experiment was conducted as part of the "Business Games" module we taught students enrolled in the Master's program "Innovation Management" at the National School of Engineers of Tunis. By…
Descriptors: Engineering Education, College Students, Game Based Learning, Foreign Countries
Ipek Isik Arslanoglu; Serhat Bahadir Kert; Ismail Tonbuloglu – Education and Information Technologies, 2024
This study aims to examine the effect of augmented reality-assisted programming education supported by participatory design on the basic and computational thinking skills of preschoolers. In the study, a pretest-posttest single-group semi-experimental design, which is one of the quantitative research methods, was used. The study group of the…
Descriptors: Young Children, Kindergarten, Computation, Thinking Skills
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Andrew Pilsch – Learning, Media and Technology, 2024
This article considers what 'minimal' might mean in the context of using minimal computing tools in the humanities classroom. Specifically, it recounts experiences teaching students to make websites using Jekyll, a popular minimal website generation tool, using different understandings of 'minimal.' In one, students were encouraged to use a Web…
Descriptors: Educational Technology, Technology Uses in Education, Humanities Instruction, Web Sites
Nurul Hazlina Noordin; Kamil Khalili Bin Haji Abdullah; Phuah Soon Eu – IEEE Transactions on Education, 2024
Contribution: This study presents an innovative experiential learning model utilizing an educational pico satellite kit as a tool for cultivating digital making skills. The distinct approach showcases a positive impact on students' learning experiences and serves as a motivating force, offering valuable implications for engineering and technical…
Descriptors: Digital Literacy, Skill Development, STEM Education, Instructional Effectiveness
Almabrok Musa Almdahem – International Journal of Computer Science Education in Schools, 2024
A national curriculum for the study of computing became compulsory in English secondary schools in September 2014, replacing the study of information and communications technology with computer science (CS). This posed difficulties for teachers and students who did not have knowledge or experience of programming. This study was designed to…
Descriptors: Secondary School Students, Computer Science Education, Programming, Student Attitudes
Daevesh Singh; Ramkumar Rajendran – Smart Learning Environments, 2024
The relationship between cognitive engagement and learning gains in computer programming has not been well-studied. This study examined the relationship between students' cognitive engagement and learning gains in the context of Python programming. Cognitive engagement, defined by the Interactive, Constructive, Active, Passive (ICAP) framework,…
Descriptors: Programming, Learner Engagement, Thinking Skills, Time Management
Chenchen Ma; Jing Ouyang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…
Descriptors: Algorithms, Item Response Theory, Scoring, Accuracy
Seong-Won Kim; Youngjun Lee – Education and Information Technologies, 2024
In this study, the influence of socio-cultural factors on attitudes toward artificial intelligence (AI) was investigated. In total, 1,677 Korean middle school students were selected to participate, and a test tool was used to measure the attitude toward AI. As a result, according to socio-cultural factors, middle school students' attitudes toward…
Descriptors: Foreign Countries, Middle School Students, Artificial Intelligence, Sociocultural Patterns