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Faezeh Rezvanifard; Farzad Radmehr – IEEE Transactions on Education, 2024
Contribution: Although a limited number of studies have compared textbooks used in introductory science courses (ISCs) and technical engineering courses (TECs), such a study has not been conducted regarding the Laplace transform (LT). The LT is one of the important topics that electrical engineering students learn as part of their undergraduate…
Descriptors: Engineering, Engineering Education, Textbook Content, Content Analysis
Maria Jose Canet; Maria Asuncion Perez-Pascual; Lorena Atares; Macarena Trujillo – IEEE Transactions on Education, 2025
Contribution: This article presents significant contributions in the field of understanding and addressing misconceptions (MCs) related to Ohm's law. First, it provides a comprehensive list and detailed description of 16 MCs commonly observed among students, and identifies and emphasizes 11 good practices that educators can adopt to effectively…
Descriptors: College Freshmen, Universities, Fundamental Concepts, Flipped Classroom
Singh, Pooja; Singh, Lalit Kumar – IEEE Transactions on Education, 2023
Contribution: This article presents an Instrumentation and Control (I&C) prototype for engineering postgraduate laboratory program designed to fulfill the quality objectives of the institution. Background: The syllabus and teaching methodology for engineering students have been periodically updated by universities and higher education…
Descriptors: Engineering Education, Laboratories, Graduate Students, Instructional Effectiveness
Mahbub Hasan; Jason M. Lodge; Azharul Karim; Md. Shahadat Hossain Khan – IEEE Transactions on Education, 2024
Contributions: This article provides valuable insights into the varying approaches of engineering students in their understanding and application of project-based learning (PBL) and its relationship with student success. The findings can be used to improve the design and implementation of effective learning environments, evaluate the effectiveness…
Descriptors: Active Learning, Student Projects, Engineering Education, Instructional Improvement
Rocio Ramos-Rodriguez; Maria Calle; Garis Coronell; John E. Candelo Becerra – IEEE Transactions on Education, 2024
Contribution: Team-based learning (TBL) with a transdisciplinary (TD) approach is applied in one introductory programming course with different cohorts. The approach reduces the failure rate in the course. In addition, the approach helped students understand the application of programming to different engineering professional areas. Background:…
Descriptors: Interdisciplinary Approach, Teamwork, Programming, Introductory Courses
Seth, Arjit; Redonnet, Stephane; Liem, Rhea P. – IEEE Transactions on Education, 2023
Contribution: A multidisciplinary computational framework to support undergraduate engineering education is introduced. It is posed as an open-source tool that students can use to understand and apply computational methods commonly required in engineering problems. Background: This framework development is motivated by past experiences of teaching…
Descriptors: Engineering Education, Undergraduate Students, Aerospace Education, Teaching Methods
Asef, Pedram; Kalyvas, Christos – IEEE Transactions on Education, 2022
One-dimensional (1-D) demonstrations, e.g., the black-box systems, have become popular in teaching materials for engineering modules due to the high complexity of the system's multidimensional (e.g., 2-D and 3-D) identities. The need for multidimensional explanations on how multiphysics equations and systems work is vital for engineering students,…
Descriptors: Computer Assisted Instruction, Cartoons, Engineering Education, Teaching Methods
Aziz, Asma; Islam, Shama Naz – IEEE Transactions on Education, 2022
Contribution: This article explores the impact of the combination of various pedagogical approaches to deliver high-quality learning experiences for online-based engineering students. Though existing research extensively studied online education approaches, limited research has investigated how to bridge the gap between online cloud-based and…
Descriptors: Teaching Methods, Engineering Education, Online Courses, Electronic Learning
Lei, Zhongcheng; Zhou, Hong; Hu, Wenshan; Liu, Guo-Ping – IEEE Transactions on Education, 2022
Contribution: This article introduces the teaching and learning with remote laboratories and MATLAB for an undergraduate system identification (SI) course, which can be employed for students at the advanced level with a control background. Background: SI has been widely used in all engineering fields; thus, the SI course that includes complex…
Descriptors: Distance Education, Engineering Education, Laboratories, Undergraduate Study
Korhan Kayisli; Ruhi Zafer Caglayan; Ilhami Colak – IEEE Transactions on Education, 2024
This article aims to present the design of a GUI application that serves as an educational and analytical tool. The GUI application is intended for educational purposes, allowing users to learn about the linear and renewable energy sources. This GUI has been designed to explain, teach, and implement maximum power point tracking (MPPT) techniques…
Descriptors: Engineering Education, Energy, Scientific Concepts, Teaching Methods
Samardzic, Natasa M.; Sekulic, Dalibor L. – IEEE Transactions on Education, 2022
Contribution: This article presents the innovative prototypes used in materials and fabrication technologies in medical devices (MFTIMD) laboratory course, under the curriculum of Biomedical (BME) and Electrical Engineering (EE) undergraduate studies. A special part of the course is devoted to state-of-the-art topics, such as flexible and wearable…
Descriptors: Undergraduate Students, Engineering Education, Biomedicine, Instructional Materials
Saxena, Nitin Kumar; Chauhan, Bhavesh Kumar; Gouri, Sonia; Kumar, Ashwani; Gupta, Anmol – IEEE Transactions on Education, 2023
Contribution: The proposed work carries out the training and testing of the available data through an artificial neural network and develops a model to allocate the subject for maximum outcome. The system also provides percentagewise correlation among all the possible subjects of best fit to allocate among the faculty members. Background: Data…
Descriptors: Knowledge Management, Artificial Intelligence, Higher Education, Information Technology
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)
Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
Guimaraes, Leovani Marcial; da Silva Lima, Renato – IEEE Transactions on Education, 2023
Contribution: This article presents a novel approach that demonstrates how students' learning can be improved by increasing classroom adherence to active learning (AL) application, in a typical engineering education (EE) environment. It does that by using classroom observation protocol data and student assessment grades analyzed by a statistical…
Descriptors: Engineering Education, Teaching Methods, Active Learning, Outcomes of Education