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Showing 1 to 15 of 32 results Save | Export
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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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Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
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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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Silva-Maceda, Gabriela; Arjona-Villicaña, P. David; Castillo-Barrera, F. Edgar – IEEE Transactions on Education, 2016
Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…
Descriptors: Programming, Teaching Methods, Intermode Differences, Cohort Analysis
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Fridge, Evorell; Bagui, Sikha – International Journal of Information and Communication Technology Education, 2016
The goal of this research was to investigate the effects of automated testing software on levels of student reflection and student performance. This was a self-selecting, between subjects design that examined the performance of students in introductory computer programming classes. Participants were given the option of using the Web-CAT…
Descriptors: Computer Assisted Testing, Computer Software, Computer Software Evaluation, Reflection
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Lindén, Rolf; Laakso, Mikko-Jussi – Journal of Educational Computing Research, 2018
In this article, we report the results of the impact of prior programming knowledge (PPK) on lecture attendance (LA) and on subsequent final programming exam performance in a university level introductory programming course. This study used Spearman's rank correlation coefficient, multiple regression, Kruskal-Wallis, and Bonferroni correction…
Descriptors: Prior Learning, Programming, Computer Science Education, Lecture Method
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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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Uysal, Murat Pasa – Journal of College Teaching & Learning, 2014
Different methods, strategies, or tools have been proposed for teaching Object Oriented Programming (OOP). However, it is still difficult to introduce OOP to novice learners. The problem may be not only adopting a method or language, but also use of an appropriate integrated development environment (IDE). Therefore, the focus should be on the…
Descriptors: Programming, Program Evaluation, College Students, Educational Environment
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Qian, Yizhou; Lehman, James D. – Journal of Education and Learning, 2016
The demand for computing professionals in the workplace has led to increased attention to computer science education, and introductory computer science courses have been introduced at different levels of education. This study investigated the relationship between gender, academic performance in non-programming subjects, and programming learning…
Descriptors: Correlation, Introductory Courses, Success, Middle School Students
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Chang, Chih-Kai – Journal of Educational Computing Research, 2014
Scratch, a visual programming language, was used in many studies in computer science education. Most of them reported positive results by integrating Scratch into K-12 computer courses. However, the object-oriented concept, one of the important computational thinking skills, is not represented well in Scratch. Alice, another visual programming…
Descriptors: Foreign Countries, College Freshmen, Information Technology, Computer Science Education
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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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Ferreira, Deller James; da Silva, Hebert Coelho; Melo, Tatiane F. N.; Ambrósio, Ana Paula – Educational Technology & Society, 2017
Teachers usually expect that any form of a continuous assessment (CA) should contribute significantly to the student learning process in introductory programming courses. To foster teachers to go beyond the current practices of a CA applied when to programming, from 2011 to 2014, we investigated the use of the Boca Online Contest Administrator…
Descriptors: Introductory Courses, Programming, Teacher Student Relationship, Peer Relationship
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Sharp, Jason H.; Sharp, Laurie A. – Journal of Information Technology Education: Innovations in Practice, 2017
Aim/Purpose: Compared student academic performance on specific course requirements in a C# programming course across three instructional approaches: traditional, online, and flipped. Background: Addressed the following research question--When compared to the online and traditional instructional approaches, does the flipped instructional approach…
Descriptors: Comparative Analysis, Academic Achievement, Conventional Instruction, Web Based Instruction
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Lu, Owen H. T.; Huang, Jeff C. H.; Huang, Anna Y. Q.; Yang, Stephen J. H. – Interactive Learning Environments, 2017
As information technology continues to evolve rapidly, programming skills become increasingly crucial. To be able to construct superb programming skills, the training must begin before college or even senior high school. However, when developing comprehensive training programmers, the learning and teaching processes must be considered. In order to…
Descriptors: Learner Engagement, Outcomes of Education, Online Courses, Educational Research
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