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Showing 1 to 15 of 23 results Save | Export
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Rahm, Lina – Learning, Media and Technology, 2023
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the…
Descriptors: Automation, Artificial Intelligence, Educational History, Genealogy
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Tavares, Paula Correia; Gomes, Elsa Ferreira; Henriques, Pedro Rangel; Vieira, Diogo Manuel – Open Education Studies, 2022
Computer Programming Learners usually fail to get approved in introductory courses because solving problems using computers is a complex task. The most important reason for that failure is concerned with motivation; motivation strongly impacts on the learning process. In this paper we discuss how techniques like program animation, and automatic…
Descriptors: Learner Engagement, Programming, Computer Science Education, Problem Solving
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Asmaa Bengueddach; Djamila Hamdadou – International Society for Technology, Education, and Science, 2024
The COVID-19 pandemic, an unprecedented global health crisis, has not only significantly impacted public health but has also caused substantial disruptions to conventional education systems. In response to these challenges, our institution has undertaken innovative measures within the realm of education. A pivotal aspect of our response involves…
Descriptors: Personal Autonomy, Online Courses, Educational Change, Coding
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Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
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Fonseca, Samuel C.; Pereira, Filipe Dwan; Oliveira, Elaine H. T.; Oliveira, David B. F.; Carvalho, Leandro S. G.; Cristea, Alexandra I. – International Educational Data Mining Society, 2020
As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as 'Online Judges'. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, this may cause difficulties to learners that do not have the typical intrinsic motivation for…
Descriptors: Programming, Introductory Courses, Computer Science Education, Automation
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Qian, Yizhou; Lehman, James – Journal of Educational Computing Research, 2020
This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…
Descriptors: High School Students, Error Patterns, Introductory Courses, Computer Science Education
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Bonet, Nicolás; Garcés, Kelly; Casallas, Rubby; Correal, María Elsa; Wei, Ran – Computer Science Education, 2018
Bad smells affect maintainability and performance of model-to-model transformations. There are studies that define a set of transformation bad smells, and some of them propose techniques to recognize and--according to their complexity--fix them in a (semi)automated way. In academia it is necessary to make students aware of this subject and provide…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Programming
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Gonzalez, Ruben – International Association for Development of the Information Society, 2017
There are many difficulties with learning and teaching programming that can be alleviated with the use of software tools. Most of these tools have focused on the teaching of introductory programming concepts where commonly code fragments or small user programs are run in a sandbox or virtual machine, often in the cloud. These do not permit user…
Descriptors: Programming, Computer Science Education, Automation, Advanced 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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Byrne, Jake Rowan; O'Sullivan, Katriona; Sullivan, Kevin – IEEE Transactions on Education, 2017
This paper explores the use of a constructivist 21st-century learning model to implement a week-long workshop, delivered as a "hackathon," to encourage preuniversity teenagers to pursue careers in STEM, with a particular emphasis on computer science. For Irish preuniversity students, their experience of computing can vary from word…
Descriptors: Teaching Methods, Workshops, Models, Adolescents
Fridenfalk, Mikael – International Association for Development of the Information Society, 2013
A system was developed for automatic generation of problems and solutions for examinations in a university distance course in discrete mathematics and tested in a pilot experiment involving 200 students. Considering the success of such systems in the past, particularly including automatic assessment, it should not take long before such systems are…
Descriptors: Automation, College Mathematics, Item Banks, Test Items
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Taherkhani, Ahmad; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2012
In this study, we examined freshmen students' sorting algorithm implementations in data structures and algorithms' course in two phases: at the beginning of the course before the students received any instruction on sorting algorithms, and after taking a lecture on sorting algorithms. The analysis revealed that many students have insufficient…
Descriptors: Foreign Countries, Classification, Mathematics, Computer Science Education
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Fernandez Aleman, J. L. – IEEE Transactions on Education, 2011
Automated assessment systems can be useful for both students and instructors. Ranking and immediate feedback can have a strongly positive effect on student learning. This paper presents an experience using automatic assessment in a programming tools course. The proposal aims at extending the traditional use of an online judging system with a…
Descriptors: Programming, Computer Science Education, College Students, Student Evaluation
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Georgouli, Katerina; Guerreiro, Pedro – International Journal on E-Learning, 2011
This paper presents the successful integration of the evaluation engine of Mooshak into the open source learning management system Claroline. Mooshak is an open source online automatic judge that has been used for international and national programming competitions. although it was originally designed for programming competitions, Mooshak has also…
Descriptors: Foreign Countries, Electronic Learning, Programming, Internet
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Shroff, Ronnie H.; Deneen, Christopher – International Journal on E-Learning, 2011
This paper assesses textual feedback to support student intrinsic motivation using a collaborative text-based dialogue system. A research model is presented based on research into intrinsic motivation, and the specific construct of feedback provides a framework for the model. A qualitative research methodology is used to validate the model.…
Descriptors: Foreign Countries, Feedback (Response), Undergraduate Students, Student Motivation
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