Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 55 |
Since 2006 (last 20 years) | 175 |
Descriptor
Statistical Analysis | 177 |
Computer Science Education | 164 |
Foreign Countries | 100 |
College Students | 70 |
Student Attitudes | 60 |
Undergraduate Students | 58 |
Programming | 56 |
Teaching Methods | 47 |
Questionnaires | 45 |
Student Surveys | 44 |
Comparative Analysis | 39 |
More ▼ |
Source
Author
Ferguson, Roger C. | 3 |
Leidig, Paul M. | 3 |
Reynolds, John H. | 3 |
Adams, D. Robert | 2 |
Al-Azawei, Ahmed | 2 |
Chaves, Rafael Oliveira | 2 |
Harris, Robert V. | 2 |
Hung, Yen-Chu | 2 |
Hwang, Gwo-Jen | 2 |
Laakso, Mikko-Jussi | 2 |
Lang, Guido | 2 |
More ▼ |
Publication Type
Education Level
Audience
Location
Taiwan | 13 |
Turkey | 13 |
Australia | 6 |
Malaysia | 6 |
Spain | 6 |
Brazil | 4 |
Canada | 4 |
Germany | 4 |
Greece | 4 |
California | 3 |
Finland | 3 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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
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
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
Reynolds, John H.; Adams, D. Robert; Ferguson, Roger C.; Leidig, Paul M. – Information Systems Education Journal, 2017
All curricula for any given academic discipline evolves over time. This is also true for the Information Systems (IS) model curriculum. Curriculum evolution is driven by several factors, such as changes in technologies, industry shifts to meet customer needs, and perceived student deficiencies. One outcome of such factors has been a change in the…
Descriptors: Information Systems, Programming, Curriculum Development, Computer Science Education
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
Alakeel, Ali M. – Universal Journal of Educational Research, 2015
Learning computer programming is one of the main requirements of many educational study plans in higher education. Research has shown that many students face difficulties acquiring reasonable programming skills during their first year of college. In Saudi Arabia, there are twenty-three state-owned universities scattered around the country that…
Descriptors: Foreign Countries, Programming, Computer Science, College Freshmen
Wang, Yanqing; Liang, Yaowen; Liu, Luning; Liu, Ying – Interactive Learning Environments, 2016
Multi-peer assessment has often been used by teachers to reduce personal bias and make the assessment more reliable. This study reviews the design and development of multi-peer assessment systems that detect and solve two common issues in such systems: non-consensus among group members and personal radicalness in some assessments. A multi-peer…
Descriptors: Peer Evaluation, Programming Languages, Computer Science Education, Bias
Çoknaz, Dilsad; Aktag, Isil – Educational Research and Reviews, 2017
In this study computer self-efficacy of Turkish undergraduate sport management students was investigated. There were a total of 295 sport management students from three universities. Data were collected by survey which was developed by Compeau and Higgins, 1995, translated to Turkish and adapted for students by Aktag, 2013. The results showed that…
Descriptors: Undergraduate Students, Gender Differences, Computer Literacy, Self Efficacy
Fernández-Alemán, José Luis; Carrillo-de-Gea, Juan Manuel; Meca, Joaquín Vidal; Ros, Joaquín Nicolás; Toval, Ambrosio; Idri, Ali – IEEE Transactions on Education, 2016
This paper presents the results of two educational experiments carried out to determine whether the process of specifying requirements (catalog-based reuse as opposed to conventional specification) has an impact on effectiveness and productivity in co-located and distributed software development environments. The participants in the experiments…
Descriptors: Productivity, Computer Science Education, Computer Software, Course Descriptions
Aydogan, Tuncay; Ergun, Serap – European Journal of Contemporary Education, 2016
Concept mapping is a method of graphical learning that can be beneficial as a study method for concept linking and organization. Concept maps, which provide an elegant, easily understood representation of an expert's domain knowledge, are tools for organizing and representing knowledge. These tools have been used in educational environments to…
Descriptors: Concept Mapping, Computer Science Education, Tests, Student Attitudes