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Marowka, Ami – Education and Information Technologies, 2018
Python is gaining popularity in academia as the preferred language to teach novices serial programming. The syntax of Python is clean, easy, and simple to understand. At the same time, it is a high-level programming language that supports multi programming paradigms such as imperative, functional, and object-oriented. Therefore, by default, it is…
Descriptors: Computer Science Education, Programming Languages, Computer Software, Engineering Education
Harichandran, Ronald S.; Erdil, Nadiye O.; Carnasciali, Maria-Isabel; Nocito-Gobel, Jean; Li, Cheryl – Advances in Engineering Education, 2018
An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and computer science students is being developed and implemented. The approach consists of the development of short e-learning modules on 18 entrepreneurial topics and the integration of these modules into regular courses in programs. A flipped classroom…
Descriptors: Entrepreneurship, Engineering Education, Electronic Learning, Computer Science Education
Khosravi, Hassan; Cooper, Kendra M. L. – Journal of Learning Analytics, 2018
Educational environments continue to evolve rapidly to address the needs of diverse, growing student populations while embracing advances in pedagogy and technology. In this changing landscape, ensuring consistency among the assessments for different offerings of a course (within or across terms), providing meaningful feedback about student…
Descriptors: Graphs, Academic Achievement, Student Evaluation, Models
Arslan Namli, Nihan; Senkal, Ozan – International Journal of Assessment Tools in Education, 2018
The overall objective of this study is to understand how the fuzzy logic theory can be used in measuring the programming performance of the undergraduate students, as well as proving the advantages of using fuzzy logic in evaluation of students' performance. 336 students were involved in the sample of this quantitative study. The first group was…
Descriptors: Undergraduate Students, Programming, Computation, Student Evaluation
Schneider, Johannes; Bernstein, Abraham; Brocke, Jan vom; Damevski, Kostadin; Shepherd, David C. – IEEE Transactions on Learning Technologies, 2018
All methodologies for detecting plagiarism to date have focused on the final digital "outcome", such as a document or source code. Our novel approach takes the creation process into account using logged events collected by special software or by the macro recorders found in most office applications. We look at an author's interaction…
Descriptors: Plagiarism, Assignments, Programming, Computer Software
Buyukkarci, Aysegul; Taslidere, Erdal – Journal of Educational Technology, 2021
Coding education has been offered to primary school students due to certain reasons: (1) coding improves students' problem solving and creative thinking skills; and (2) it has high visual-quality and easy-to-use block-based tools. In this study, the effects of coding education on 4th grade students' self-efficacy and scratch coding achievement…
Descriptors: Computer Science Education, Programming Languages, Coding, Thinking Skills
Abdrabou, Atef; Shakhatreh, Walid – Journal of Technology and Science Education, 2021
In the era of the Internet-of-everything, learning the principles of data communications and networking is inevitable for many electrical engineering disciplines. The paper addresses the effectiveness of teaching the fundamentals of data communications and networking using a dedicated lab course as a co-requisite to a classic lecture-based course.…
Descriptors: Computer Networks, Computer Science Education, Engineering Education, Instructional Effectiveness
Stone, Jeffrey A.; Cruz, Laura – Teaching & Learning Inquiry, 2021
Higher education has embraced integrative learning as a means of enabling students to tackle so-called "wicked" problems, i.e. problems that are sufficiently complex, contested, and ambiguous that conventional, disciplinary specific approaches are inadequate to address. However, challenges remain in defining integrative learning…
Descriptors: Introductory Courses, Computer Science Education, Interdisciplinary Approach, Integrated Activities
Luan, Hui; Tsai, Chin-Chung – Educational Technology & Society, 2021
In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI technique, machine learning is viewed as an important means to realize it. In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed…
Descriptors: Artificial Intelligence, Individualized Instruction, Individual Differences, Educational Trends
Fraire, Juan A.; Duran, Juan E. – IEEE Transactions on Education, 2021
Contribution: In a context where hands-on courses are biased toward specific technologies, a novel creativity-provoking instructional approach for networking undergraduate courses is successfully applied following action research principles and active and creative learning techniques. Background: Extensive engineering-oriented networking courses…
Descriptors: Experiential Learning, Creativity, Curriculum Development, Teaching Methods
Smith, Sally; Caddell, Martha; Taylor-Smith, Ella; Smith, Colin; Varey, Alison – Journal of Vocational Education and Training, 2021
This article compares policy aims with experiences following the introduction of a new model for STEM apprenticeships in the UK. Degree apprentices work while studying for a degree, undertaking work-based learning and attending on-campus classes. Specifically, this study explores an implementation in Scotland, where computing degrees are designed…
Descriptors: Apprenticeships, STEM Education, Educational Policy, Foreign Countries
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Oliveira, Eduardo; de Barba, Paula; Corrin, Linda – Australasian Journal of Educational Technology, 2021
Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Undergraduate Students
Smith, Sally; Taylor-Smith, Ella; Fabian, Khristin; Zarb, Mark; Paterson, James; Barr, Matthew; Berg, Tessa – Journal of Education and Work, 2021
This mixed-method study at six universities asked degree apprentices about their trajectories into the apprenticeship, to better understand the social mobility potential of apprenticeships. The degree apprenticeship offers a route to a degree for apprentices, who are employees studying for a degree. As a new model, little is known about the…
Descriptors: Social Mobility, Apprenticeships, College Students, Student Interests
Kroustalli, Chrysoula; Xinogalos, Stelios – Education and Information Technologies, 2021
Serious games, or else educational games, for programming are considered to have a positive impact on learning programming. Specifically, serious games are considered to motivate students and engage them in playing and learning programming. However, more research is required in order to study their effects in learning programming, as well as their…
Descriptors: Instructional Effectiveness, Teaching Methods, Computer Science Education, Programming Languages

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