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Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
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
Bonet, Nicolás; Garcés, Kelly; Casallas, Rubby; Correal, María Elsa; Wei, Ran – Computer Science Education, 2018
Bad smells affect maintainability and performance of model-to-model transformations. There are studies that define a set of transformation bad smells, and some of them propose techniques to recognize and--according to their complexity--fix them in a (semi)automated way. In academia it is necessary to make students aware of this subject and provide…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Programming
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
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
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
Backenköhler, Michael; Scherzinger, Felix; Singla, Adish; Wolf, Verena – International Educational Data Mining Society, 2018
Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…
Descriptors: Data, Course Selection (Students), Information Utilization, Individualized Instruction
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
Osmani, Mohamad; Weerakkody, Vishanth; Hindi, Nitham M.; Al-Esmail, Rajab; Eldabi, Tillal; Kapoor, Kawaljeet; Irani, Zahir – Tertiary Education and Management, 2015
Graduate employability has become an issue since there are broad mismatches between the acquired graduate skills from university and the required skills by employers. While previous researches have outlined the salient skills that need to be embedded in graduate education, to date no studies have attempted to methodically identify and synthesize…
Descriptors: Foreign Countries, Employment Potential, College Graduates, Trend Analysis
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