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Divasón, Jose; Martinez-de-Pison, Francisco Javier; Romero, Ana; Saenz-de-Cabezon, Eduardo – IEEE Transactions on Learning Technologies, 2023
The evaluation of student projects is a difficult task, especially when they involve both a technical and a creative component. We propose an artificial intelligence (AI)-based methodology to help in the evaluation of complex projects in engineering and computer science courses. This methodology is intended to evaluate the assessment process…
Descriptors: Student Projects, Student Evaluation, Artificial Intelligence, Models
Rebecca L. Matz; Mark Mills; Holly A. Derry; Benjamin T. Hayward; Caitlin Hayward – British Journal of Educational Technology, 2024
Mastery-based assignments typically provide students with multiple opportunities to improve their performance, but getting students to take advantage of these opportunities is difficult. We report on the implementation of a two-part series of nudges designed to improve students' engagement with and performance on mastery-based assignments in…
Descriptors: Mastery Learning, Scores, Assignments, Prompting
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
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
Danielak, Brian – Cognition and Instruction, 2022
This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…
Descriptors: Design, Computer Science Education, Programming, Introductory Courses
John F. Hutton – ProQuest LLC, 2022
All engineering careers require some level of programming proficiency. However, beginning programming classes are challenging for many students. Difficulties have been well-documented and contribute to high drop-out rates which prevent students from pursuing engineering. While many approaches have been tried to improve the performance of students…
Descriptors: Skill Development, Engineering Education, Epistemology, Delphi Technique
Hollister, Brad; Leon, Juan – International Journal on E-Learning, 2022
An introductory survey course in software engineering is now required at many accredited undergraduate institutions in the United States. The usual presentation of material consists of student projects that showcase design, development, and testing methodologies. While this approach does provide a foundation, students are left without professional…
Descriptors: Open Source Technology, Engineering Education, Computer Software, Undergraduate Students
Ma, Lili – Journal of STEM Education: Innovations and Research, 2021
This paper summarizes our experience of teaching undergraduate robotic courses in the past ten years. The objective is to introduce students to the fundamental knowledge in robotics. Lecture topics covered subjects in both Autonomous Mobile Robots and Robotic Manipulator. In the lab sessions, students work on physical robots to acquire basic…
Descriptors: Teaching Methods, Robotics, Engineering Education, Computer Science Education
Riese, Emma; Stenbom, Stefan – IEEE Transactions on Education, 2023
Contribution: This study evaluates the generalizability of previously identified perceptions among engineering students of assessments in introductory programming (CS1). The students' perceptions of their instructors' and teaching assistants' (TAs) roles in these assessments are also studied, and differences based on prior programming experience,…
Descriptors: Student Attitudes, Educational Experience, Computer Science Education, Student Evaluation
Carlson, Charles; Peterson, Garrett; Day, Dwight – IEEE Transactions on Education, 2020
Contribution: Portable learning instrumentation has become common in university classrooms and laboratories, but few publications assess the effects of these technologies on student retention. This paper addresses this under-researched connection between the use of portable learning technologies, incorporated into an Introduction to Computer…
Descriptors: Active Learning, Educational Technology, Technology Uses in Education, Learner Engagement
Thuné, Michael; Eckerdal, Anna – European Journal of Engineering Education, 2019
Previous research shows that many students find it difficult to learn computer programming. To learn computer programming includes both gaining theoretical understanding and learning to develop programmes in practice. To this end, teachers commonly design programming exercises for the students in the computer laboratory. To be able to improve the…
Descriptors: Programming, Computer Science Education, Theory Practice Relationship, Science Laboratories
Lakshminarayanan, Srinivasan; Rao, N. J.; G. K., Meghana – Higher Education for the Future, 2021
The introductory programming course, commonly known as CS1 and offered as a core course in the first year in all engineering programs in India, is unique because it can address higher cognitive levels, metacognition and some aspects of the affective domain. It can provide much needed transformative experiences to students coming from a system of…
Descriptors: Transformative Learning, Mastery Learning, Computer Science Education, Programming
Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
Galindo, Cipriano; Fernandez-Madrigal, Juan-Antonio – IEEE Transactions on Education, 2020
Contribution: There exist software tools designed for professional or research purposes that may serve for grounding the learning of real-time scheduling within introductory courses. This article contributes with a hardware and software infrastructure aimed at improving the learning process of the essentials of real-time scheduling in…
Descriptors: Scheduling, Computer Software, Introductory Courses, Learning Processes
Lee, V. C. S.; Yu, Y. T.; Tang, C. M.; Wong, T. L.; Poon, C. K. – Journal of Computer Assisted Learning, 2018
Many students need assistance in debugging to achieve progress when they learn to write computer programs. Face-to-face interactions with individual students to give feedback on their programs, although definitely effective in facilitating their learning, are becoming difficult to achieve with ever-growing class sizes. This paper proposes a novel…
Descriptors: Computer Science Education, Programming, Computer Software, Feedback (Response)