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Showing 1 to 15 of 52 results Save | Export
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Velázquez-Iturbide, J. Ángel; Hernán-Losada, Isidoro; Paredes-Velasco, Maximiliano – IEEE Transactions on Education, 2017
An increase in student motivation is often cited as an expected effect of software visualization, but, as far as the authors are aware, no controlled experiments have yet demonstrated this. This paper therefore presents a controlled evaluation of this effect, conducted within the framework of self-determination theory. Students were tasked with…
Descriptors: Student Motivation, Computer Software, Incentives, Computer Science Education
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Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž – Interactive Learning Environments, 2017
Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…
Descriptors: Evaluation Methods, Information Systems, Intelligent Tutoring Systems, Computer Science Education
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Mustapha, Aida; Samsudin, Noor Azah; Arbaiy, Nurieze; Mohammed, Rozlini; Hamid, Isredza Rahmi – Turkish Online Journal of Educational Technology - TOJET, 2016
In programming, one problem can usually be solved using different logics and constructs but still producing the same output. Sometimes students get marked down inappropriately if their solutions do not follow the answer scheme. In addition, lab exercises and programming assignments are not necessary graded by the instructors but most of the time…
Descriptors: Programming, Computer Science Education, Scoring Rubrics, Grading
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Gençtürk, Abdullah Tarik; Korucu, Agah Tugrul – Higher Education Studies, 2017
It is observed that teacher candidates receiving education in the department of Computer and Instructional Technologies Education are not able to gain enough experience and knowledge in "Programming Languages" lesson. The goal of this study is to analyse the effects of web 2.0 technologies usage in programming languages lesson on the…
Descriptors: Web 2.0 Technologies, Programming Languages, Programming, Academic Achievement
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Ferguson, Roger C.; Leidig, Paul M.; Reynolds, John H. – Information Systems Education Journal, 2015
General education is more than a list of required courses a student must take to complete their degree. For most universities, general education is the groundwork for the student's university experience. These courses span multiple disciplines and allow students to experience a wide range of topics on their path to graduation. Programming classes,…
Descriptors: Programming, Programming Languages, General Education, Required Courses
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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
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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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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
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions
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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
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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
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Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen J. H.; Hwang, Gwo-Haur – Educational Technology & Society, 2015
Computer programming is an important skill for engineering and computer science students. However, teaching and learning programming concepts and skills has been recognized as a great challenge to both teachers and students. Therefore, the development of effective learning strategies and environments for programming courses has become an important…
Descriptors: Foreign Countries, Programming, Instructional Effectiveness, College Students
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Castillo, Antonio S.; Berenguer, Isabel A.; Sánchez, Alexander G.; Álvarez, Tomás R. R. – International Journal of Education and Development using Information and Communication Technology, 2017
This paper analyzes the results of a diagnostic study carried out with second year students of the computational sciences majors at University of Oriente, Cuba, to determine the limitations that they present in computational algorithmization. An exploratory research was developed using quantitative and qualitative methods. The results allowed…
Descriptors: Foreign Countries, Computation, Majors (Students), Mathematics
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Kuo, Feng-Yang; Wu, Wen-Hsiung; Lin, Cathy S. – Journal of Educational Computing Research, 2013
Today, information technology (IT) has permeated virtually every aspect of our society and the learning of software programming is becoming increasingly important to the creation and maintenance of the IT infrastructure critical to our daily life. In this article, we report the results of a study that demonstrates how the self-regulation paradigm…
Descriptors: Computer Science Education, Programming, College Students, Programming Languages
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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
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