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Aoife Hennessy; Kieran Murphy – Irish Educational Studies, 2025
The importance of student engagement is long recognised. Students who are more engaged will be more motivated and inclined to complete their studies. The aim of this study is to understand barriers to engagement for first-year computing students, a cohort that traditionally have high non-progression rates. A qualitative descriptive design was…
Descriptors: Barriers, Learner Engagement, Computer Science Education, College Freshmen
Danielle Edwards; Alanah Mitchell – Journal of Information Systems Education, 2025
Careers in information systems and technology are top-rated and growing, yet universities are challenged to recruit students into information technology (IT) majors and organizations struggle to find talent with IT and digital skills. Experiential mentorship programs offer an opportunity for both academia and industry to attract students into…
Descriptors: Computer Science Education, Information Systems, Mentors, Internship Programs
Mohanarajah, Selvarajah; Sritharan, Thambithurai – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The key objective of this research is to examine whether fix-and-play educational games improve students' performance in learning programming languages. We also quantified the flow experiences of the students and analyzed how the flow contributes to their academic performances. Background: Traditionally, learning the first computer…
Descriptors: Game Based Learning, Educational Games, Programming, Learner Engagement
Yin, Jiaqi; Goh, Tiong-Thye; Yang, Bing; Xiaobin, Yang – Journal of Educational Computing Research, 2021
This study investigated the impact of a chatbot-based micro-learning system on students' learning motivation and performance. A quasi-experiment was conducted with 99 first-year students taking part in a basic computer course on number system conversion. The students were assigned to a traditional learning group or a chatbot-based micro-learning…
Descriptors: Educational Technology, Technology Uses in Education, Student Motivation, Academic Achievement
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
Yeomans, Lucy; Zschaler, Steffen; Coate, Kelly – ACM Transactions on Computing Education, 2019
Programming skills are an increasingly desirable asset across disciplines; however, learning to program continues to be difficult for many students. To improve pedagogy, we need to better understand the concepts that students find difficult and which have the biggest impact on their learning. Threshold-concept theory provides a potential lens on…
Descriptors: Programming, Student Attitudes, Attitudes, Concept Formation
Lin, Yen-Yu – Taiwan Journal of TESOL, 2023
This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…
Descriptors: Grammar, Teaching Methods, Second Language Learning, English (Second Language)
Schreglmann, Sinan – Journal of Education and Learning, 2018
This study aimed to develop Academic Motivation Scale for Learning Information Technology for university students. For this purpose, 120 randomly selected university students studying in different classes and faculties at KSU were invited to the study during the 2016-2017 academic year. To define the scale indicators students were asked to answer…
Descriptors: Test Construction, Student Motivation, College Students, Test Validity
Lukose, Jose; Mammen, Kuttickattu John – Asia-Pacific Forum on Science Learning and Teaching, 2018
Research reports using global data show that the failure rates in introductory programming courses average about 32%. As learners from schools join the university and enrol for different courses, they find the sudden transformation quite challenging. This makes it more challenging for first year university students, especially in difficult courses…
Descriptors: Academic Achievement, Introductory Courses, Programming, Computer Science Education
Budinoff, Hannah; McMains, Sara – Engineering Design Graphics Journal, 2018
The impact of spatial visualization ability on student outcomes in a freshman-level, 3D modeling class is explored by analyzing connections between students' spatial ability pre- and post-test scores, course grades, and self-reported difficulty of an assignment. Analysis of the results indicate that spatial visualization ability, as measured by…
Descriptors: Correlation, Visualization, Spatial Ability, Scores
Végh, Ladislav; Stoffová, Veronika – Informatics in Education, 2017
Algorithms are hard to understand for novice computer science students because they dynamically modify values of elements of abstract data structures. Animations can help to understand algorithms, since they connect abstract concepts to real life objects and situations. In the past 30-35 years, there have been conducted many experiments in the…
Descriptors: Teaching Methods, Animation, College Freshmen, Pretests Posttests
Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
Kori, Külli; Pedaste, Margus; Must, Olev – ACM Transactions on Computing Education, 2018
Low retention rates in higher education Information Technology (IT) studies have led to an unmet demand for IT specialists. Therefore, universities need to apply interventions to increase retention rates and provide the labor market with more IT graduates. However, students with different characteristics may need different types of interventions.…
Descriptors: Information Technology, Computer Science Education, Intervention, School Holding Power
Larraza-Mendiluze, Edurne; Garay-Vitoria, Nestor; Soraluze, Iratxe; Martín, José; Muguerza, Javier; Ruiz-Vazquez, Txelo – ACM Transactions on Computing Education, 2016
The computer input/output (I/O) subsystem and its functioning are very abstract concepts that are difficult for undergraduate freshmen to understand. However, it is important that freshmen assimilate these low-level concepts if they are going to be taught about the operating systems (OS) working over that architecture layer, or working directly…
Descriptors: Active Learning, Student Projects, Computer Science Education, College Freshmen
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