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Showing 1 to 15 of 98 results Save | Export
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Chen, Huan; Wang, Ye; Li, You; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Education and Information Technologies, 2023
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…
Descriptors: College Faculty, Computer Science Education, Control Groups, Data Science
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Gezgin, Deniz Mertkan – International Journal of Distance Education Technologies, 2019
This article investigates the effect of mobile learning support on students' academic success on a database management systems (DBMS) course. The research was carried out with 36 students attending a state university in Turkey. In this study, a mixed method was used, which includes both quantitative and qualitative data collection techniques. For…
Descriptors: Management Systems, Databases, Academic Achievement, Pretests Posttests
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Yavuzarslan, Mithat; Olgun, Hakan; Yazici, Selim – Online Submission, 2019
One of the main outcomes of the current period is to decrease in the cost and energy of accessing the information due to rapid growing of internet and Information Technologies. Therefore, transferring online courses to users via e-learning platforms has became more and more preferred in recent years. This paper aims to investigate the effect of an…
Descriptors: Foreign Countries, Blended Learning, Conventional Instruction, Teaching Methods
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Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
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Uz, Ruchan; Uzun, Adem – European Journal of Educational Research, 2018
The aim of this paper is to determine the influence of blended learning environments on self-regulated and self-directed learning skills of undergraduate students. The explanatory sequential mixed method was used. In total 167 students participated in the study. While sixty students taking "Programming Languages" course at Computer…
Descriptors: Blended Learning, Independent Study, Learning Strategies, Undergraduate Students
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Brita-Paja, J. L.; Gregorio, C.; Llana, L.; Pareja, C.; Riesco, A. – Interactive Learning Environments, 2019
During the last years online education, in particular Massive Open Online Courses (MOOCs), has contributed to spread and popularize educational methodologies such as peer-review, automatic assessment, self-paced courses, self-evaluation, etc. Although these techniques can benefit face-to-face courses, most of them are not yet widely used in these…
Descriptors: Online Courses, Synchronous Communication, Undergraduate Study, Peer Evaluation
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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
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Hamman, Seth T.; Hopkinson, Kenneth M.; Markham, Ruth L.; Chaplik, Andrew M.; Metzler, Gabrielle E. – IEEE Transactions on Education, 2017
The ability to anticipate the strategic actions of hackers, including where, when, and how they might attack, and their tactics for evading detection, is a valuable skill for cybersecurity. Therefore, developing the strategic reasoning abilities of cybersecurity students is an important cybersecurity education learning objective. This paper…
Descriptors: Game Theory, Information Security, Computer Science Education, Undergraduate Students
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Tibi, Moanes H. – Online Learning, 2018
This study aims to investigate and analyze the attitudes and opinions of computer science students at two academic colleges of education with regards to the use of structured and unstructured discussion forums in computer science courses conducted entirely online. Fifty-two students participated in two online courses. The students in each course…
Descriptors: Online Courses, Student Attitudes, Comparative Analysis, Computer Science Education
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Chang, Chih-Kai; Yang, Ya-Fei; Tsai, Yu-Tzu – Education for Information, 2017
Previous research indicates that understanding the state of learning motivation enables researchers to deeply understand students' learning processes. Studies have shown that visual programming languages use graphical code, enabling learners to learn effectively, improve learning effectiveness, increase learning fun, and offering various other…
Descriptors: Programming Languages, Student Motivation, Questionnaires, Correlation
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Peteranetz, Markeya S.; Flanigan, Abraham E.; Shell, Duane F.; Soh, Leen-Kiat – IEEE Transactions on Education, 2018
Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and…
Descriptors: Engineering Education, Evidence Based Practice, Problem Solving, Control Groups
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Velázquez-Iturbide, J. Ángel; Hernán-Losada, Isidoro; Paredes-Velasco, Maximiliano – IEEE Transactions on Education, 2017
An increase in student motivation is often cited as an expected effect of software visualization, but, as far as the authors are aware, no controlled experiments have yet demonstrated this. This paper therefore presents a controlled evaluation of this effect, conducted within the framework of self-determination theory. Students were tasked with…
Descriptors: Student Motivation, Computer Software, Incentives, Computer Science Education
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Estébanez, Raquel Pérez – EURASIA Journal of Mathematics, Science & Technology Education, 2017
In the way of continuous improvement in teaching methods this paper explores the effects of Cooperative Learning (CL) against Traditional Learning (TL) in academic performance of students in higher education in two groups of the first course of Computer Science Degree at the university. The empirical study was conducted through an analysis of…
Descriptors: Cooperative Learning, Higher Education, Comparative Analysis, Teaching Methods
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Petrovic, J.; Pale, P.; Jeren, B. – Education and Information Technologies, 2017
This study aimed to investigate the effects of using online formative assessments on students' learning achievements. Using a quasi-experimental study design with one control group (no formative assessments available), and two experimental groups receiving feedback in available online formative assessments (knowledge of the correct response--KCR,…
Descriptors: Computer Assisted Testing, Formative Evaluation, Feedback (Response), Difficulty Level
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Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing – Journal of Educational Computing Research, 2018
This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…
Descriptors: Computer Science Education, Programming, Programming Languages, Novices
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