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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
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
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
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
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
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
Cankaya, Serkan; Yunkul, Eyup – International Education Studies, 2018
The purpose of this study was to reveal the attitudes and views of university students about the use of Edmodo as a cooperative learning environment. In the research process, the students were divided into groups of 4 or 5 within the scope of a course given in the department of Computer Education and Instructional Technology. For each group,…
Descriptors: Social Networks, Cooperative Learning, Student Attitudes, Semi Structured Interviews
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
Lacave, Carmen; Molina, Ana I.; Redondo, Miguel A. – IEEE Transactions on Education, 2018
Contribution: Findings are provided from an initial survey to evaluate the magnitude of the recursion problem from the student point of view. Background: A major difficulty that programming students must overcome--the learning of recursion--has been addressed by many authors, using various approaches, but none have considered how students perceive…
Descriptors: Student Attitudes, Attitude Measures, Difficulty Level, Programming
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
Saito, Daisuke; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Research, 2017
Aim/Purpose: When learning to program, both text-based and visual-based input methods are common. However, it is unclear which method is more appropriate for first-time learners (first learners). Background: The differences in the learning effect between text-based and visual-based input methods for first learners are compared the using a…
Descriptors: Programming, Computer Science Education, Comparative Analysis, Questionnaires
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
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
Magana, Alejandra J.; Seah, Ying Ying; Thomas, Paul – Journal of Information Systems Education, 2018
Agile methods such as Scrum that emphasize technical, communication, and teamwork skills have been practiced by IT professionals to effectively deliver software products of good quality. The same methods combined with pedagogies of engagement can potentially be used in the setting of higher education to promote effective group learning in software…
Descriptors: Cooperative Learning, Class Activities, Design, Teaching Methods