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Leah Bidlake; Eric Aubanel; Daniel Voyer – ACM Transactions on Computing Education, 2025
Research on mental model representations developed by programmers during parallel program comprehension is important for informing and advancing teaching methods including model-based learning and visualizations. The goals of the research presented here were to determine: how the mental models of programmers change and develop as they learn…
Descriptors: Schemata (Cognition), Programming, Computer Science Education, Coding
Per Anderhag; Niklas Salomonsson; Andre Bürgers; Cesar Estay Espinola; Birgit Fahrman; Dana Seifeddine Ehdwall; Maria Sundler – International Journal of Technology and Design Education, 2024
During a relatively short period of time, programming has been implemented in the national curriculum of the compulsory school in Sweden. Since 2018, programming is a new content in the technology subject and the research field has discussed some of the challenges teachers and students, who generally have little experiences of programming, face…
Descriptors: Learning Strategies, Programming, Robotics, Technology Education
Gus Greivel; Alexandra Newman; Maxwell Brown; Kelly Eurek – INFORMS Transactions on Education, 2024
Industrial-scale models require considerable setup time; hence, once built, they are used in myriad ways to consider closely related cases. In practice, the code for these models frequently evolves without appropriate notational choices, largely as a result of the lengthy development time of, and the number of individuals contributing to, their…
Descriptors: Models, Best Practices, Mathematical Concepts, Energy
Aimei Yang – Journalism and Mass Communication Educator, 2025
At the forefront of industries profoundly influenced by artificial intelligence (AI), public relations (PRs) are undergoing a transformative revolution. The increasing applications of AI in PRs are driving a demand for proficient practitioners. Recognizing this, PR educational institutions must adapt by delivering tailored AI education. Despite…
Descriptors: Artificial Intelligence, Public Relations, Programming, Coding
David Shilane; Nicole Di Crecchio; Nicole L. Lorenzetti – Teaching Statistics: An International Journal for Teachers, 2024
Educational curricula in data analysis are increasingly fundamental to statistics, data science, and a wide range of disciplines. The educational literature comparing coding syntaxes for instruction in data analysis recommends utilizing a simple syntax for introductory coursework. However, there is limited prior work to assess the pedagogical…
Descriptors: Programming, Data Science, Programming Languages, Coding
Stephanie A. Blanda – PRIMUS, 2024
This article describes the author's experience designing and implementing an inquiry-based learning (IBL) pedagogical approach to an upper-division undergraduate cryptology course. The author shares the course goals and how the IBL style supports their achievement. The article concludes with sample activities -- in-class exercises that touch on…
Descriptors: Technology, Undergraduate Students, Inquiry, Active Learning
Abdullahi Yusuf; Norah Md Noor – Smart Learning Environments, 2024
In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…
Descriptors: Students, Programming, Algorithms, Problem Solving
Joohi Lee; Sham'ah Yunus; Joo Ok Lee – Early Childhood Education Journal, 2025
Robotics has emerged as a popular interdisciplinary pedagogical approach in the field of education to teach children STEM concepts. By providing playful learning experiences, the use of robots engages children in an active learning process, making it an effective tool to promote their targeted knowledge, skills, and disposition towards STEM,…
Descriptors: Preschool Children, Preschool Education, Programming, Skill Development
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Davi Bernardo Silva; Deborah Ribeiro Carvalho; Carlos N. Silla – IEEE Transactions on Learning Technologies, 2024
Throughout a programming course, students develop various source code tasks. Using these tasks to track students' progress can provide clues to the strengths and weaknesses found in each learning topic. This practice allows the teacher to intervene in learning in the first few weeks of class and maximize student gains. However, the biggest…
Descriptors: Computation, Models, Ability Grouping, Programming
Jeremy Jon Bro – ProQuest LLC, 2023
Secure Code Education (SCE) is the compliance requirement for many organizations in the U.S. Consequently, many U.S. companies spend large sums on programs and tooling to meet this requirement and to upskill their developers. This tooling is largely underutilized. Classes beyond the bare required minimum are often not taken advantage of, leaving…
Descriptors: Coding, Gamification, Vignettes, Programming
Yuhan Lin – ProQuest LLC, 2024
Block-based programming environments have become increasingly commonplace in computer science education. Despite a rapidly expanding ecosystem of block-based programming environments, text-based languages remain the dominant programming paradigm outside of educational contexts, motivating the transition from block-based to text-based programming.…
Descriptors: Computer Science Education, Programming, Coding, Scaffolding (Teaching Technique)
Pavlos Toukiloglou; Stelios Xinogalos – Education and Information Technologies, 2024
Hour of Code is a widely recognized global event that aims to introduce programming to novice users and integrate computer science into education. This paper presents an analysis of the effectiveness of the support system and user interface of Minecraft Adventurer, a serious game designed for the Hour of Code global event. Although previous…
Descriptors: Novices, Programming, Coding, Computer Science Education
Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles