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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
Saito, Daisuke; Yajima, Risei; Washizaki, Hironori; Fukazawa, Yoshiaki – Education Sciences, 2021
In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the…
Descriptors: Scoring Rubrics, Computer Science Education, Programming, Reliability
Zhao, Yijun; Lackaye, Bryan; Dy, Jennifier G.; Brodley, Carla E. – International Educational Data Mining Society, 2020
Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…
Descriptors: Artificial Intelligence, College Admission, Masters Programs, Professional Education
Furtado, Julio; Oliveira, Sandro Ronaldo Bezerra; Chaves, Rafael Oliveira – International Journal of Information and Communication Technology Education, 2021
In organizations that are seeking a high degree of maturity, it is necessary to achieve a statistical control of software processes and to know their behavior and operational performance. The approach adopted for the research involves reading articles and experience performance reports, practical cases, discussion, the use of games and simulators,…
Descriptors: Undergraduate Students, Computer Science Education, Teaching Methods, Computer Software
Khosravi, Hassan; Cooper, Kendra M. L. – Journal of Learning Analytics, 2018
Educational environments continue to evolve rapidly to address the needs of diverse, growing student populations while embracing advances in pedagogy and technology. In this changing landscape, ensuring consistency among the assessments for different offerings of a course (within or across terms), providing meaningful feedback about student…
Descriptors: Graphs, Academic Achievement, Student Evaluation, Models
Xinogalos, Stelios; Pitner, Tomáš; Ivanovic, Mirjana; Savic, Miloš – Education and Information Technologies, 2018
The choice of the first programming language (FPL) has been a controversial issue for several decades. Nearly everyone agrees that the FPL is important and affects students' subsequent education on programming. The study presented in this article investigates the suitability of various C-like and Pascal-like programming languages as a FPL.…
Descriptors: Student Attitudes, Programming Languages, Computer Software, Questionnaires
Berdousis, Ioannis; Kordaki, Maria – Gender and Education, 2018
This study focuses on the investigation of gender representation of faculty members of all ranks (professors, associate professors, assistant professors and lecturers) of Computing and STEM (Science, Technology, Engineering and Mathematics) in Greek tertiary education during the decade 2003-2013. To this end, a quantitative study was conducted,…
Descriptors: STEM Education, College Faculty, Foreign Countries, Gender Differences
Xia, Belle Selene; Liitiäinen, Elia – European Journal of Engineering Education, 2017
The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate…
Descriptors: Computer Science Education, Electronic Learning, Programming, Academic Achievement
Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N. – Journal of Educational Psychology, 2016
Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower…
Descriptors: Gender Differences, Computer Science, Sex Stereotypes, Computer Science Education
Coetzee, Bronwynè; Kagee, Ashraf – Africa Education Review, 2021
In psychology departments in South Africa, the Statistical Package for the Social Sciences (SPSS) is routinely used for quantitative analysis. While SPSS has a user-friendly interface, it does not permit application of some of the more sophisticated analytic approaches and therefore has limited functionality. The programming language R can perform…
Descriptors: Teaching Methods, Faculty Development, Psychology, Programming Languages
Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
Yagci, Mustafa – Journal of Educational Computing Research, 2018
In the relevant literature, it is often debated whether learning programming requires high-level thinking skills, the lack of which consequently results in the failure of students in programming. The complex nature of programming and individual differences, including study approaches, thinking styles, and the focus of supervision, all have an…
Descriptors: Problem Based Learning, Web Based Instruction, Programming, Computer Science Education
Jevremovic, Aleksandar; Shimic, Goran; Veinovic, Mladen; Ristic, Nenad – IEEE Transactions on Learning Technologies, 2017
The case study presented in this paper describes the pedagogical aspects and experience gathered while using an e-learning tool named IPA-PBL. Its main purpose is to provide additional motivation for adopting theoretical principles and procedures in a computer networks course. In the proposed model, the sequencing of activities of the learning…
Descriptors: Problem Based Learning, Computer Networks, Case Studies, Electronic Learning
Gezgin, Deniz Mertkan; Adnan, Muge; Acar Guvendir, Meltem – Turkish Online Journal of Distance Education, 2018
Mobile learning has started to perform an increasingly significant role in improving learning outcomes in education. Successful and efficient implementation of m-learning in higher education, as with all educational levels, depends on users' acceptance of this technology. This study focuses on investigating the attitudes of undergraduate students…
Descriptors: Electronic Learning, Comparative Analysis, Foreign Countries, Higher Education
Lai, Ching-San – Journal of Education in Science, Environment and Health, 2018
The major purpose of this study was to investigate whether or not the inquiry-based method is effective in improving students' learning in STEM (Science, Technology, Engineering, and Mathematics) education. Both quantitative and qualitative methods were used. A total of 73 college students studying Information Technology (IT) were chosen as…
Descriptors: Inquiry, Active Learning, STEM Education, Computer Science Education