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Peer reviewed
Direct linkPeidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Download full textWendy Haw; Adam Crawford – Journal of Learning Development in Higher Education, 2025
This article illustrates the potential for hackathons to serve as an innovative educational tool in addressing the underrepresentation of minority communities in science, technology, engineering, and mathematics (STEM) fields. Using Merced, California--a region recognised for its agricultural economy, socioeconomic disparities, and diverse…
Descriptors: Programming, Computer Science Education, Disproportionate Representation, STEM Education
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
Robin Samuelsson – British Journal of Educational Technology, 2025
Programming is becoming a key subject in early education globally, with surging problems of how computer science can become a subject for children of all ages and backgrounds. Problems of implementing new technologies in the old curricula have long been noted, and lately, concern over computer science education goals is often too narrow and…
Descriptors: Computer Science Education, Play, Early Childhood Education, Technology Integration
Bogdan Simion; Lisa Zhang; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil – ACM Transactions on Computing Education, 2025
Although ample research has focused on computing skill development over a single course or specific programming language, relatively little attention is paid to how computing skills evolve across a program. Our work aims to understand how specific skills develop throughout a progression of CS courses. We use qualitative content analysis to catalog…
Descriptors: Skill Development, Computer Science Education, Computer Literacy, Prerequisites
Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Güler Yavuz Temel; Julia Barenthien; Thore Padubrin – Education and Information Technologies, 2025
The integration of different technologies for formative assessment activities into the classroom is very important for the effectiveness of learning and teaching processes. This study is an experimental study in which the student teachers designed jupyter notebooks as formative assessment activities for specified aims and subject contents. For…
Descriptors: Computer Software, Formative Evaluation, Student Teachers, Student Teacher Attitudes
Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Mária Cujdíková; Ivan Kalaš – Informatics in Education, 2025
Tables are fundamental tools for handling data and play a crucial role in developing both computational thinking (CT) and mathematical thinking (MT). Despite this, they receive limited attention in research and design. This study investigates pupils' attitudes toward and approaches to working with tables in informatics education, focusing on the…
Descriptors: Foreign Countries, Elementary School Curriculum, Programming, Computation
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
Forest Mannan – International Journal of Mathematical Education in Science and Technology, 2024
This article considers starting with an existing SIMIODE modeling scenario [Winkel, B. (2015). 1-031-CoolIt-ModelingScenario. SIMIODE (Version 2.0). "QUBES Educational Resources." https://doi.org/10.25334/3WG8-EC31] that develops Newton's law of cooling by considering data on the cooling of a beaker of water in a room, and expanding upon…
Descriptors: Calculus, Mathematical Models, Programming, Heat
Yoonhee Shin; Jaewon Jung; Hyun Ji Lee – Metacognition and Learning, 2024
This study investigated the effects of concept-oriented faded in worked-out examples (WOE) and metacognitive scaffolding on learners' transfer performance and motivation in programming education. Two types of faded in WOE and metacognitive scaffolding were provided. A total of 140 participants were randomly assigned into one of four groups, with…
Descriptors: Metacognition, Concept Formation, Scaffolding (Teaching Technique), Learning Processes
Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024
Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…
Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses
