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Showing 1 to 15 of 36 results Save | Export
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Jacqui Taylor; Monica Whitty – Psychology Learning and Teaching, 2024
We propose that psychology graduates are uniquely placed to work in the cybersecurity industry due to their understanding of human behavior and the possession of skills needed to address cybersecurity issues. However, there are challenges in attracting psychology graduates to the cybersecurity industry as they may not be fully aware of how skills…
Descriptors: Psychology, Majors (Students), Student Attitudes, Literacy
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Tsai, Chun-Yen; Shih, Wen-Ling; Hsieh, Fu-Pei; Chen, Yun-An; Lin, Chien-Liang – International Journal of Educational Technology in Higher Education, 2022
The purpose of this research was to design a course based on the design-based learning (DBL) model to improve undergraduates' web design skills, and to explore the differences in learning effectiveness of students with different levels of knowledge integration. The quasi-experimental design was adopted in this study. Ninety-two participants…
Descriptors: Teaching Methods, Design, Undergraduate Students, Web Sites
Sina Rismanchian; Eesha Tur Razia Babar; Shayan Doroudi – Annenberg Institute for School Reform at Brown University, 2025
In November 2022, OpenAI released ChatGPT, a groundbreaking generative AI chatbot backed by large language models (LLMs). Since then, these models have seen various applications in education, from Socratic tutoring and writing assistance to teacher training and essay scoring. Despite their widespread use among high school and college students in…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
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Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
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Anastasia Angelopoulou; Rania Hodhod; Kristin Lilly; Ann Newland – Journal of Postsecondary Education and Disability, 2023
People with disabilities rely on a range of accessible technologies to interface with the digital world. However, their needs are often not considered when developing applications in introductory computer sciences courses. These courses traditionally focus on teaching technical skills that do not include those for designing and developing…
Descriptors: Computer Science Education, Accessibility (for Disabled), Disabilities, Design
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Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
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Pakpour, Nazzy; Nouredini, Sahar; Tandon, James – IEEE Transactions on Education, 2022
Contribution: Although engineering hackathon events are common, this is one of the first reports of such an event used for the purpose of teaching engineering students about public health concepts. Results from this study suggest that hackathons are an effective format for teaching topics that are not core to the engineering discipline in a short…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Programming
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Chrysafiadi, Konstantina; Virvou, Maria; Tsihrintzis, George A.; Hatzilygeroudis, Ioannis – Education and Information Technologies, 2023
Nowadays, the improvement of digital learning with Artificial Intelligence has attracted a lot of research, as it provides solutions for individualized education styles which are independent of place and time. This is particularly the case for computer science, as a tutoring domain, which is rapidly growing and changing and as such, learners need…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Programming
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Oliver J. Mason; Siobhan Collman; Stella Kazamia; Ioana Boureanu – Journal of Cybersecurity Education, Research and Practice, 2024
This pilot study aims to assess the acceptability of Open University's training platform called Gamified Intelligent Cyber Aptitude and Skills Training course (GICAST), as a means of improving cybersecurity knowledge, attitudes, and behaviours in undergraduate students using both quantitative and qualitative methods. A mixed-methods, pre-post…
Descriptors: Career Readiness, Computer Science, Computer Security, Gamification
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Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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Huo, Rongrong – European Journal of Science and Mathematics Education, 2023
In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…
Descriptors: Numbers, Computer Science Education, Knowledge Level, Algorithms
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Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
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Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
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Mirna Isabel Rivera García; Ingrid Margoth Vásquez Flores – International Society for Technology, Education, and Science, 2024
The study focused on analyzing the knowledge and application of cryptocurrencies in undergraduate programs across public and private universities in Honduras. Given the increasing relevance of cryptocurrencies in the global financial landscape. The primary objective was to assess the level of knowledge and application of cryptocurrencies among…
Descriptors: Foreign Countries, Computer Science Education, Information Science Education, College Faculty
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