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Fagan, Bryan J.; Payne, Bryson R. – Proceedings of the Interdisciplinary STEM Teaching and Learning Conference, 2017
The US Bureau of Labor Statistics predicts over 8 million job openings in IT and computing, including 1 million cybersecurity postings, over the current five-year period. This paper presents lessons learned in preparing middle-school students in rural Georgia for future careers in computer science/ IT by teaching computer programming in the free,…
Descriptors: Programming Languages, Teaching Methods, Computer Science Education, Open Source Technology
Ibrahim Bastug; Kagan Kircaburun – Journal of Pedagogical Research, 2017
In recent years, the number of students who have chosen computer science related undergraduate departments has decreased rapidly. Moreover, students who prefer computer science and programming departments appear to be unsuccessful in programming classes due to the complexity and frustrating difficulties of programming learning. One of the…
Descriptors: Student Attitudes, Programming, Computer Science Education, Middle School Students
Huang, Hong – Online Submission, 2016
Project-Based Learning (PBL) is a widely adopted pedagogy that ignites students' interest of a subject through the investigation of an authentic problem and cultivates their abilities of innovation and self-learning. Traditional PBL often involves a project of complexity and significant scale, which, under the time constraint of a course, is often…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computer Science Education
Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
Weiss, Charles J. – Journal of Chemical Education, 2017
The Scientific Computing for Chemists course taught at Wabash College teaches chemistry students to use the Python programming language, Jupyter notebooks, and a number of common Python scientific libraries to process, analyze, and visualize data. Assuming no prior programming experience, the course introduces students to basic programming and…
Descriptors: Science Instruction, College Science, Chemistry, Computer Uses in Education
Kolling, Michael; McKay, Fraser – ACM Transactions on Computing Education, 2016
The past few years has seen a proliferation of novice programming tools. The availability of a large number of systems has made it difficult for many users to choose among them. Even for education researchers, comparing the relative quality of these tools, or judging their respective suitability for a given context, is hard in many instances. For…
Descriptors: Heuristics, Programming, Programming Languages, Computer Software
Dinicu, Anca; Oancea, Romana – International Association for Development of the Information Society, 2017
In a world of great complexity, understanding the manner states act and react becomes more and more an intriguing quest due to the multiple relations of dependence and interdependence that characterize "the global puzzle". Within this context, an analysis based on a geopolitical approach becomes a very useful means used to determine not…
Descriptors: Electronic Learning, Educational Technology, Politics, Geography
Simic, Danijela – International Journal for Technology in Mathematics Education, 2015
Stepwise program refinement techniques can be used to simplify program verification. Programs are better understood since their main properties are clearly stated, and verification of rather complex algorithms is reduced to proving simple statements connecting successive program specifications. Additionally, it is easy to analyse similar…
Descriptors: Mathematics, Computer Science, Computer Science Education, Comparative Analysis
Margolis, Jane; Goode, Joanna; Ryoo, Jean J. – Educational Leadership, 2015
Computer science programs are too often identified with a narrow stratum of the student population, often white or Asian boys who have access to computers at home. But because computers play such a huge role in our world today, all students can benefit from the study of computer science and the opportunity to build skills related to computing. The…
Descriptors: Computer Science Education, Computer Science, High School Students, Programming
Buitrago Flórez, Francisco; Casallas, Rubby; Hernández, Marcela; Reyes, Alejandro; Restrepo, Silvia; Danies, Giovanna – Review of Educational Research, 2017
Computational thinking (CT) uses concepts that are essential to computing and information science to solve problems, design and evaluate complex systems, and understand human reasoning and behavior. This way of thinking has important implications in computer sciences as well as in almost every other field. Therefore, we contend that CT should be…
Descriptors: Computation, Computer Science Education, Programming, Problem Solving
Parkavi, A.; Lakshmi, K.; Srinivasa, K. G. – Educational Research and Reviews, 2017
Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis' results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research…
Descriptors: Data Analysis, Educational Research, Goodness of Fit, Decision Making
Crabtree, John; Zhang, Xihui – Journal of Information Technology Education: Innovations in Practice, 2015
Teaching advanced programming can be a challenge, especially when the students are pursuing different majors with diverse analytical and problem-solving capabilities. The purpose of this paper is to explore the efficacy of using a particular problem as a vehicle for imparting a broad set of programming concepts and problem-solving techniques. We…
Descriptors: Computer Science Education, Programming Languages, Information Technology, Problem Solving
Saltan, Fatih – Journal of Education and Learning, 2017
Online Algorithm Visualization (OAV) is one of the recent developments in the instructional technology field that aims to help students handle difficulties faced when they begin to learn programming. This study aims to investigate the effect of online algorithm visualization on students' achievement in the introduction to programming course. To…
Descriptors: Information Technology, Control Groups, Experimental Groups, Programming
Stevens, Vance; Verschoor, Jennifer – TESL-EJ, 2017
According to Dudeney, Hockly, and Pegrum (2013) coding is a deeper skill subsumed under the four main digital literacies of language, connections, information, and (re)design. Coders or programmers are people who write the programmes behind everything we see and do on a computer. Most students spend several hours playing online games, but few know…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Critical Thinking
Majherová, Janka; Králík, Václav – European Journal of Contemporary Education, 2017
In the training of future informatics teachers the students obtain experience with different methods of programming. As well, the students become familiar with programming by using the robotic system Lego Mindstorms. However, the small number of Lego systems available is a limiting factor for the teaching process. Use of virtual robotic…
Descriptors: Programming, Teaching Methods, Instructional Innovation, Preservice Teachers

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