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Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
Hussein Sabra; Theresia Tabchi – ZDM: Mathematics Education, 2024
This contribution explores the teaching of graph theory in the context of engineering education. We examine how teachers use collectively designed resources in terms of their backgrounds. After a literature review, we justify the choice to develop an analytical framework for studying the materials in terms of connections to be established in the…
Descriptors: Foreign Countries, Graphs, Engineering Education, Computer Science
de Vries, E. W.; Delnooz, P.; Velthuijsen, H.; Pinxten, R. – Innovations in Education and Teaching International, 2023
Global developments ask for 21st-century skills. Creativity is one of those and can be defined as the production of novel ideas by connecting entities that have not been connected before and whose connection is useful in a certain domain. The growth of rhizomes is an example where unconnected entities become connected in an unpredictable way, and…
Descriptors: Educational Philosophy, College Students, Student Attitudes, Creativity
Ruth Z. Hauzel; Tanuja Pattnaik; Ranjani Vara; Surya Prabha Mandela – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: Despite playing a critical role in shaping the future, 70% of undergraduate engineers report low levels of motivation. Student disengagement and a lack of ownership of their learning are significant challenges in higher education, specifically engineering students in the computer science department. This study investigates the various…
Descriptors: Undergraduate Students, Engineering Education, Learner Engagement, Student Attitudes
Gavilán-Izquierdo, José María; Gallego-Sánchez, Inés; González, Antonio; Puertas, María Luz – Mathematics Teaching Research Journal, 2022
In this exploratory work, the discourse of first-year computer engineering undergraduate students of graph theory was analyzed with the aim of improving the teaching of this branch of mathematics. The theoretical framework used is the theory of commognition, specifically, we focus on commognitive conflicts because they are learning opportunities…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Graphs
David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
Chang, Jen-Chia; Shih, Hsiao-Fang; Liao, Fan-Ru – Education & Training, 2022
Purpose: This study used the industry-oriented capstone course to increase the employability of electrical engineering and computer science (EECS) students in technological university. Design/methodology/approach: In this study, EECS students were selected and divided into groups, and the non-equivalent pretest-posttest quasi-experimental research…
Descriptors: Industry, Capstone Experiences, Employment Potential, Engineering Education
Mehta, Neha; Bist, Siddarth Singh; Shah, Priya – Higher Education, Skills and Work-based Learning, 2022
Purpose: With past studies indicating a lack of skill development in engineering education, there is a need for new pedagogical tools that are application and skill-oriented. Hackathons are widely accepted in the corporate world, in the engineering domain for skill development and recruitment but have not gained acceptance in mainstream…
Descriptors: Engineering Education, Teachers, Computer Software, Teacher Attitudes
Malgorzata Charytanowicz – Informatics in Education, 2023
Nowadays, the rapid development of ICT has brought more flexible forms that push the boundaries of classic teaching methodology. This paper is an analysis of online teaching and learning forced by the COVID-19 pandemic, as compared with traditional education approaches. In this regard, we assessed the performance of students studying in the…
Descriptors: Teaching Methods, Electronic Learning, COVID-19, Pandemics
User Experiences of ChatGPT among Engineering Students, Teachers, and Working Professionals in India
G. S. Prakasha; R. Sanskriti; B. Ishani – Journal of Educators Online, 2024
The introduction of Chat Generative Pre-Trained Transformer (ChatGPT) in November 2022 brought about rapid changes in the workplace and academia. Its usage ranged from student assignments to workplace targets in the engineering field. Although it has brought novel ideas to its application in various fields and task efficiency in the workplace, its…
Descriptors: Users (Information), Artificial Intelligence, Computer Software, Synchronous Communication
Mapping Network Structure and Diversity of Interdisciplinary Knowledge in Recommended MOOC Offerings
Zhang, Jingjing; Yang, Yehong; Barbera, Elena; Lu, Yu – International Review of Research in Open and Distributed Learning, 2022
In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…
Descriptors: Network Analysis, Interdisciplinary Approach, MOOCs, Electronic Learning
Chih-Chang Yu; Leon Yufeng Wu – Educational Technology & Society, 2024
This study presents a new blended learning model that combines a computer-assisted learning system called Cognitive Apprenticeship Programming Learning System (CAPLS) with instructor co-teaching in an introductory programming course. CAPLS, as its unique aspect, functions as a master in cognitive apprenticeship, guiding learners throughout their…
Descriptors: Programming, Computer Science Education, College Entrance Examinations, Mathematics Tests
Agnese Ilaria Telloni – International Journal of Mathematical Education in Science and Technology, 2024
We present a model for roleplaying (RP) for university students that is aimed at fostering the interactions of each learner with the teacher and coursemates, self- and peer-assessment, as well as an awareness and meaningful learning of mathematics. Specific features of our model are its focus on metacognition and individualized learning, based on…
Descriptors: Advanced Courses, Mathematics Instruction, Metacognition, Engineering Education
Snead, Suzanne L.; Walker, Lyndon; Loch, Birgit – International Journal of Mathematical Education in Science and Technology, 2022
In Australian universities, mathematics is often an essential core subject for disciplines such as engineering, information technology and science. These first-year mathematics subjects may have large enrolments of which a significant number fail the subject and repeat. While interventions to retain students are common, those who have failed…
Descriptors: Foreign Countries, College Mathematics, Mathematics Achievement, College Freshmen
Wanjun Chen; Prasert Ruannakarn – Higher Education Studies, 2024
CIPP, as a decision-oriented new model of curriculum evaluation, is suitable for the evaluation needs of information-based physical education courses. The evaluation of teaching in information-based physical education courses based on the CIPP model is divided into four categories: context evaluation, input evaluation, process evaluation, and…
Descriptors: Information Technology, Technology Integration, Physical Education, Course Evaluation