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Allen, Oliver; Downs, Xavier; Varoy, Elliot; Luxton-Reilly, Andrew; Giacaman, Nasser – IEEE Transactions on Learning Technologies, 2022
Object-oriented programming (OOP) is not only an integral part of computing degrees but also a requirement in non-computing majors such as engineering. Understanding OOP concepts can be difficult for novice programmers, and often leads to the development of misconceptions. This is exacerbated when the discipline requires students to learn a…
Descriptors: Programming, Programming Languages, Majors (Students), Learning Activities
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Lin, Guan-Yu; Liao, Yi-Wen; Su, Zhi-Yuan; Wang, Yu-Min; Wang, Yi-Shun – Education and Information Technologies, 2023
This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e.,…
Descriptors: Undergraduate Students, Academic Persistence, Programming, Self Efficacy
Simon D. Weaver; G. Alex Ambrose; Rebecca J. Whelan – Journal of Chemical Education, 2022
Students completing undergraduate majors in chemistry are not typically required to undergo formal training in computer programming or coding. As a result, many chemistry students are graduating without skills in understanding, writing, or manipulating computer code. This skills gap places students at a disadvantage, considering the widespread and…
Descriptors: Coding, Undergraduate Students, Majors (Students), Chemistry
Zha, Shenghua; Jin, Yi; Moore, Pamela; Gaston, Joe – Journal of Digital Learning in Teacher Education, 2020
Informed by the person-object theory of interest, this study deployed a mixed-method concurrent triangulation design and investigated the impact of major/specialization, gender, and module design on preservice teachers' interest in teaching computational thinking. The study was conducted in a flipped computational thinking module hosted in three…
Descriptors: Blended Learning, Preservice Teachers, Teacher Attitudes, Interests
Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2023
NoSQL databases have been used in organizations for decades. Few database textbooks on the market, however, have suitable materials about NoSQL beyond general introductions for typical business students. In fact, users of the typical NoSQL systems on the software market need to have certain computer programming skills. This teaching tip introduces…
Descriptors: Databases, Programming, Computer Science Education, Business Administration Education
Verma, Amit; Purohit, Pratibha; Thornton, Timothy; Lamsal, Kamal – Industry and Higher Education, 2023
The fields of augmented reality (AR) and virtual reality (VR) have seen massive growth in recent years. Numerous degree programs have started to redesign their curricula to meet the high market demand for people qualified to fill related job positions. In this paper, the authors perform a content analysis of online job postings hosted on…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Caines Turnipseed, Melissa Arlette – ProQuest LLC, 2023
The computer science industry and college degree programs for computer science throughout the country suffer from the "pipeline shrinkage problem", which describes the declining number of qualified people in various industries (Kordaki & Berdousis, 2014). For computer science, the specific population decline relates to a shortage of…
Descriptors: High School Students, Females, Computer Science Education, Career Pathways
Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
Kim, ChanMin; Dinç, Emre; Lee, Eunseo; Baabdullah, Afaf; Zhang, Anna Y.; Belland, Brian R. – Journal of Educational Computing Research, 2023
Analogical reasoning is considered to be a critical cognitive skill in programming. However, it has been rarely studied in a block-based programming context, especially involving both virtual and physical objects. In this multi-case study, we examined how novice programming learners majoring in early childhood education used analogical reasoning…
Descriptors: Robotics, Programming, Novices, Thinking Skills
Jones, Leslie B.; Hopkins, Britney J. – PRIMUS, 2020
Computer programming and mathematical algorithms are natural partners in the development of programming skills, logical thought, and a deeper understanding of mathematical concepts. We present the details of a course which blends the two at the sophomore level. This course is required of our mathematics majors, but attracts mathematics minors from…
Descriptors: Mathematics Instruction, Programming, Teaching Methods, College Mathematics
Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Bridging the Gap between Set Theory and Logic: Leveraging Computing as a Mediating Tool for Learning
Antonio Estevan Martinez – ProQuest LLC, 2022
Undergraduate mathematics education research focused on Introduction to Proofs courses has gained traction as more students are experiencing challenges in their proof-based courses. While studies have analyzed the teaching and learning of proofs, there is a growing need for research in students' understanding of mathematical logic and set theory…
Descriptors: Mathematics Education, Mathematical Logic, Theories, Programming
Nathan H. Bean – ProQuest LLC, 2022
Learning to program has long been known to be a difficult task, requiring a student to develop both fluency in the syntax and grammar of a formal programming language and learn the problem-solving approaches and techniques of computational thinking. The successful teaching strategies of the past have involved maintaining small teacher-student…
Descriptors: Algorithms, Coding, Supplementary Education, Programming