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Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
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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
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Boberic-Krsticev, Danijela; Tešendic, Danijela – Informatics in Education, 2013
The paper elaborates on experiences and lessons learned from the course on object-oriented analyses and design at the Faculty of Sciences, Novi Sad. The course on OOAD is taught to students of computer science and to the students of mathematical programme. Conclusions made in this paper are based on results of students' assignments as well as…
Descriptors: Foreign Countries, Computer Science Education, Programming, College Students
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Stefik, Andreas; Siebert, Susanna – ACM Transactions on Computing Education, 2013
Recent studies in the literature have shown that syntax remains a significant barrier to novice computer science students in the field. While this syntax barrier is known to exist, whether and how it varies across programming languages has not been carefully investigated. For this article, we conducted four empirical studies on programming…
Descriptors: Programming Languages, Syntax, Computer Science Education, Novices
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Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
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Cadenas, José O.; Sherratt, R. Simon; Howlett, Des; Guy, Chris G.; Lundqvist, Karsten O. – IEEE Transactions on Education, 2015
This paper describes a virtual system that emulates an ARM-based processor machine, created to replace a traditional hardware-based system for teaching assembly language. The virtual system proposed here integrates, in a single environment, all the development tools necessary to deliver introductory or advanced courses on modern assembly language…
Descriptors: Cost Effectiveness, Feedback (Response), Student Attitudes, Computer Simulation
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Boticki, I.; Katic, M.; Martin,S. – IEEE Transactions on Education, 2013
This paper explores the educational benefits of introducing the aspect-oriented programming paradigm into a programming course in a study on a sample of 75 undergraduate software engineering students. It discusses how using the aspect-oriented paradigm, in addition to the object-oriented programming paradigm, affects students' programs, their exam…
Descriptors: Foreign Countries, Higher Education, Programming, Programming Languages
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Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
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Kortsarts, Yana; Morris, Robert W.; Utell, Janine M. – Information Systems Education Journal, 2010
Bioinformatics is a relatively new interdisciplinary field that integrates computer science, mathematics, biology, and information technology to manage, analyze, and understand biological, biochemical and biophysical information. We present our experience in teaching an interdisciplinary course, Introduction to Bioinformatics, which was developed…
Descriptors: Interdisciplinary Approach, Introductory Courses, Biology, Information Science
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Trenas, M. A.; Ramos, J.; Gutierrez, E. D.; Romero, S.; Corbera, F. – IEEE Transactions on Education, 2011
This paper describes how a new "Moodle" module, called "CTPracticals", is applied to the teaching of the practical content of a basic computer organization course. In the core of the module, an automatic verification engine enables it to process the VHDL designs automatically as they are submitted. Moreover, a straightforward…
Descriptors: Foreign Countries, Programming Languages, Open Source Technology, Integrated Learning Systems
Cavus, Nadire; Uzunboylu, Huseyin; Ibrahim, Dogan – Online Submission, 2006
The development of collaborative studies in learning has led to a renewed interest in the field of web-based education. In this experimental study, a highly interactive and collaborative teaching environment was created using Moodle, a learning management system with two types of Collaborative Tools (CTs): Standard CT and Advanced CT to create a…
Descriptors: Cooperative Learning, Management Systems, Web Based Instruction, Programming Languages