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Peer reviewed
Direct linkZinagul Suranchiyeva; Bektas Bostanov; Serik Kenesbayev; Salamat Idrissov; Kuralay Turganbay – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model,…
Descriptors: Electronic Learning, Elective Courses, Mathematics Instruction, Computer Science Education
Download full textDhaifallah Saleh Alsuhaymi; Ohood Mohammed Alotaibi – Journal of Education and e-Learning Research, 2023
This study aims to demonstrate the efficacy of gamification in developing HTML programming skills and academic achievement motivation for 10th-grade students. Despite the significance of computer programming in developing students' thinking, many students still need more motivation to learn it. One of the entertaining strategies of computer…
Descriptors: Gamification, Programming, Academic Achievement, Student Motivation
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Ma. Louise Antonette N. De Las Peñas; John Chris T. Kwong; Peter Antonio B. Banzon; Philip A. Martinez; Wilbur Isaac G. Lapada; Julian N. Eballa III; John Emil C. Sebastian; Miguel D. Asido; Jan Daryl M. San Juan; Debbie Marie B. Verzosa; Jumela F. Sarmiento; Agnes D. Garciano; Mark Anthony C. Tolentino; Maria Alva Q. Aberin; Juan Carlo F. Mallari – International Association for Development of the Information Society, 2023
This paper discusses the distribution, through a digital datacasting framework, of mathematical resources for Grades 1 to 7 to two schools in a community in the Philippines. Among the mathematical resources made available, are mathematical applications (apps), which run on mobile technologies, that have been created to help in the mathematical…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Computer Assisted Instruction
Melissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Jingjing Qiu; Anneke Moeller; Janet Zhen; Hansen Yang; Lily Din; Nicole Adelstein – Journal of Chemical Education, 2023
An integrated inorganic chemistry laboratory experience focusing on heterogeneous electrocatalysis with nickel (Ni)- and cobalt (Co)-based electrocatalysts is designed for upper-division, major-level chemistry students. In this laboratory, students will be guided through the fabrication of an indium tin oxide (ITO)-coated glass working electrode,…
Descriptors: Programming Languages, Computer Software, Computer Simulation, Educational Technology
W. Jake Thompson – Grantee Submission, 2023
In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…
Descriptors: Bayesian Statistics, Measurement, Psychometrics, Educational Research
Holo, O. E.; Kveim, E. N.; Lysne, M. S.; Taraldsen, L. H.; Haara, F. O. – Education Inquiry, 2023
This review article focuses on the teaching of computer programming in primary school mathematics, as reported by 37 empirical studies. Our findings show that a variety of research methods are used, which often combine qualitative and quantitative approaches. Furthermore, we found the focus of attention to vary from emphasis on the teacher and the…
Descriptors: Literature Reviews, Computer Science Education, Programming, Elementary School Mathematics
Ardith D. Bravenec; Karen D. Ward – Journal of Chemical Education, 2023
Chemistry simulations using interactive graphic user interfaces (GUIs) represent uniquely effective and safe tools to support multidimensional learning. Computer literacy and coding skills have become increasingly important in the chemical sciences. In response to both of these facts, a series of Jupyter notebooks hosted on Google Colaboratory…
Descriptors: Chemistry, Interaction, Computer Simulation, Undergraduate Students
Wahid Yunianto; Adi Nur Cahyono; Theodosia Prodromou; Shereen El-Bedewy; Zsolt Lavicza – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2025
Creativity and problem-solving are 21st-century skills that we need to develop in our students. Research on computational thinking (CT) integration in school subjects and STEAM activities has shown a positive effect on students' problem-solving skills and creativity. Our study extends our previous work from the integration of CT in a mathematics…
Descriptors: Computation, Thinking Skills, STEM Education, Creativity
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Xin Gong; Zhixia Li; Ailing Qiao – Education and Information Technologies, 2025
Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…
Descriptors: Artificial Intelligence, Technology Uses in Education, Dialogs (Language), Feedback (Response)
Nikolaos Pellas – Computers in the Schools, 2024
There is substantial evidence that incorporating interactive environments for game-based instruction has a significant potential to support the development of computational thinking and programming skills in primary education students. However, it is not clear whether a simulation game (SG) with different user interface elements, created via…
Descriptors: Foreign Countries, Extracurricular Activities, Computer Science Education, Elementary School Students
David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
Anas Husain – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to investigate the perceptions of programming instructors among the Information Technology faculty members at AL al-Bayt University regarding the effectiveness of ChatGPT in supporting the programming instructional process. This study also aims to explore their experiences concerning the potential benefits and adverse…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Programming
