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Wenrui Huang; Dajanae Palmer; Ekaete Udoh; Yung Chun; Jason Jabbari – Annenberg Institute for School Reform at Brown University, 2025
The shortage of STEM workers, particularly in computer science, is compounded by the underrepresentation of women and certain minoritized racial/ethnic groups in these fields. Efforts to address worker shortages and broaden participation include improving traditional STEM education pathways and creating alternative pathways. While persistence has…
Descriptors: STEM Education, Programming, Internship Programs, Minority Group Students
Dennis Tay – Journal of Statistics and Data Science Education, 2024
Data analytics and programming skills are increasingly important in the humanities, especially in disciplines like linguistics due to the rapid growth of natural language processing (NLP) technologies. However, attitudes and perceptions of students as novice learners, and the attendant pedagogical implications, remain underexplored. This article…
Descriptors: Data Analysis, Programming, Linguistics, Graduate Students
Crabtree, John; Zhang, Xihui; Ray, Daniel – International Journal of Teaching and Learning in Higher Education, 2022
Learning how to solve problems using computer programming is very challenging for beginners. Supplemental instructors (SIs), who lead tutoring sessions outside of normally scheduled class time and are usually peers of the students they tutor, can be of great assistance. However, since these tutors are also taking classes themselves, it can be…
Descriptors: Peer Teaching, Tutoring, Programming, Mentors
Gökoglu, Seyfullah; Kilic, Servet – E-Learning and Digital Media, 2023
This study investigates pre-service computer science (CS) teachers' perspectives on the factors affecting their programming abilities, concerns about their future professional lives, and pedagogical suggestions for effective programming teaching. The participants of the study were twenty-eight pre-service CS teachers studying at eighteen different…
Descriptors: Programming, Computer Science Education, Preservice Teachers, Teaching Methods
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Hellings, Jan; Haelermans, Carla – Higher Education: The International Journal of Higher Education Research, 2022
We use a randomised experiment to study the effect of offering half of 556 freshman students a learning analytics dashboard and a weekly email with a link to their dashboard, on student behaviour in the online environment and final exam performance. The dashboard shows their online progress in the learning management systems, their predicted…
Descriptors: Learning Analytics, College Freshmen, Student Behavior, Electronic Learning
Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
McCarron, Elizabeth; Frydenberg, Mark – Information Systems Education Journal, 2023
Students today are often assumed to be digitally literate and prepared for college, but that is not always the case. Introductory technology courses at the college level provide students with the technology and digital skills necessary for them to succeed in college. This study, conducted at a small New England "business school" that…
Descriptors: College Freshmen, Technological Literacy, Educational Technology, Business Schools
Varga, Erika B.; Sátán, Ádám – Hungarian Educational Research Journal, 2021
The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…
Descriptors: Identification, At Risk Students, Computer Science Education, Undergraduate Students
Trenton W. Dawson – ProQuest LLC, 2022
This study aimed to understand the identity and attitude of students enrolled in computer science (CS) or programming-related course at community colleges nationwide. This study quantitatively evaluation data for estimating the relationships between students' identity and attitudes toward computer science with prior programming experience and…
Descriptors: Computer Science Education, Trend Analysis, Programming, Community College Students
Ramadan Abdunabi; Ilham Hbaci; Teddy Nyambe – Information Systems Education Journal, 2024
Programming is a major subject in various Information Systems (IS) programs, with students often finding it a challenging skill to acquire. While there is extensive literature on factors helping students learn to program, most of which focuses on non-IS students. Due to the increasing demand for professionals with programming skills, there is a…
Descriptors: Influences, Programming, Self Efficacy, Computer Science Education
Kittur, Javeed – IEEE Transactions on Education, 2020
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all…
Descriptors: Measures (Individuals), Programming, Self Efficacy, Engineering Education
So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
Olipas, Cris Norman P.; Cochanco, Rose Anne G. – Online Submission, 2021
This study aimed at assessing the cognitive determinants of the BSIT students during the second semester of the academic year 2019-2020. A total of three hundred ninety-four (394) respondents participated in this study to understand the relationship of the cognitive determinants to their academic performance in a major programming course. Results…
Descriptors: Information Technology, Cognitive Ability, Programming, Gender Differences