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2020 ASEE Virtual Annual Conference, ASEE 2020

作者： Chen, Chao Chen, Zesheng Department of Electrical and Computer Engineering Purdue University Fort Wayne United States Department of Computer Science Purdue University Fort Wayne United States

Communication is a key element for classroom teaching and group project management in higher education. In this paper, we describe in detail how an online tool, Slack, helps improve communication and collaboration in courses and group projects at Purdue University Fort Wayne, and thus enhances students' learning. Specifically, we highlight the features in Slack that are helpful in teaching and team projects. In the end-of-semester surveys, the students gave positive feedback on their usage of Slack. We believe that Slack serves as an excellent online tool to enhance communication and collaboration in computer science and computer engineering courses. © American Society for engineering Education 2020.

关键词： Project management

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***: Empowering SQL Learning and SocialChange Through IT-Enabled Smart Tutoring in computer science and engineering

***: Empowering SQL Learning and SocialChange Through IT-Ena...

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2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Dixit, Rashmi Gajjam, Nikhil Walchand Institute of Technology Computer Science and Engineering Maharashtra Solapur India

ISBN: (纸本)9798331517953

In order to support query-based learning, this research focuses on the applications of an AI tool named *** in the instruction of computer science and engineering students in Structured Query Language (SQL). As the foundation for obtaining data from databases and manipulating vast volumes of data in a variety of vocations, SQL is essential to the field of data management. For computer science students, database knowledge and skills - especially SQL - are essential because they provide them with insights into the querying, altering, and analyzing of data - a crucial component of software engineering, data administration, and database management. Appropriate and effective techniques, including tutoring, which provide the student with individualised support, are particularly beneficial for learning SQL. It was noted that both situations allowed for the temporary usage of ***, as well as feedback to encourage selfdirected product immersion. In an effort to provide *** in a learning environment, this article reports on variations in student performance, practical SQL skills, and engagement levels. The article compares the efficacy of ***'s case studies and effectiveness studies to other traditional tutoring methods, describing how the platform encouraged students to practise SQL outside of the classroom. The findings demonstrate that nearly all students made progress in both writing and composing SQL queries. © 2024 IEEE.

关键词： Structured Query Language

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Multiplex Collaboration Network of the Faculty of computer science and engineering in Skopje 15th

Multiplex Collaboration Network of the Faculty of Compute...

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15th International Conference on ICT Innovations, ICT Innovations 2023

作者： Ivanoska, Ilinka Trivodaliev, Kire Ilijoski, Bojan Faculty of Computer Science and Engineering Ss Cyril and Methodiuos University Skopje Macedonia

ISBN: (纸本)9783031543203

Multiplex collaboration networks facilitate intricate connections among individuals, enabling multidimensional collaborations across various domains and fostering synergistic knowledge exchange. This study focuses on the construction and basic analysis of a multiplex collaboration network among employees at the Faculty of computer science and engineering (FCSE), Ss. Cyril and Methodius University in Skopje. The multiplex network is built with three layers based on: scientific collaborations resulting from joint project participations by FCSE employees, joint employees participations in the FCSE graduation thesis committees, and scientific FCSE employees collaborations defined by co-authorships in Google Scholar papers. The network’s structure plays a vital role in determining the information accessibility and cooperative opportunities for individuals within FCSE institution. The aim here is to investigate the FCSE multiplex collaboration network’s internal structure for discovering its latent knowledge and understand its implications. We perform identification of key individuals within the network, by computing various centrality and hubs detection network metrics. Additionally, we employ a community detection algorithm to reveal the underlying modular structure of the network. By comprehensively analyzing the acquired multiplex collaboration network model, we contribute to a better understanding of the collaboration patterns among FCSE employees. The findings can potentially inform decision-making processes and foster strategic planning aimed at enhancing collaboration and knowledge sharing within the institution. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Decision making

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Using ChatGPT in Undergraduate computer science and Software engineering Courses: A Students' Perspective 54

Using ChatGPT in Undergraduate Computer Science and Software...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Andersen-Kiel, Noah Linos, Panagiotis Butler University Computer Science and Software Engineering Dept. IndianapolisIN United States

ISBN: (纸本)9798350351507

This innovative practice full paper presents an empirical study aimed at evaluating the potential of ChatGPT, an advanced AI-driven chatbot, as a supplementary educational tool in undergraduate computer science and Software engineering (CSSE) courses. The study, initiated in the summer of 2023, focused on assessing ChatGPT's capabilities in generating accurate and complete computer code, identifying and rectifying code defects (bugs), and its scalability in handling larger programs. To achieve this, we conducted a series of experiments with ChatGPT. In one experiment, we introduced bugs into small programs from introductory CSSE courses. ChatGPT was tasked with detecting these defects and providing recommendations for fixing them. We evaluated ChatGPT's effectiveness in bug detection, the quality of its recommendations, and the completeness of the proposed solutions. We sought answers to questions such as whether ChatGPT found all injected defects, provided appropriate recommendations, and delivered high-quality solutions based on criteria like code completeness, size, complexity, and readability. In another experiment, ChatGPT was asked to generate code for assignments from previous CSSE courses, including Intro to computer science and Programming in C++, Intro to Python Programming, and Object-Oriented Programming and Data Structures using Java. We assessed the generated code's correctness and quality in comparison to student-written code. Similarly, in a third experiment, we evaluated ChatGPT's ability to generate larger programs using requirement specifications from an upper-division CSSE course on Agile Software engineering. Analyzing both qualitative and quantitative data from these experiments during the summer, we determined that ChatGPT showed promise as an educational tool. Consequently, we developed a plan to integrate ChatGPT into select CSSE courses for the fall semester of 2023. Specifically, ChatGPT was integrated into two of our introductory CSSE cou

关键词： Object oriented programming

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Moodle plugin for real-time face recognition in online exams for Systems engineering and computer science students at Universidad Continental, Huancayo, Peru 5

Moodle plugin for real-time face recognition in online exams...

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5th International Conference on Robotics and computer Vision, ICRCV 2023

作者： Vargas, Miguel Torres Valle, Luis Fernando Rojas Vera, Diego Porras Moreno, Daniel Gamarra School of System Engineering and Computer Science Universidad Continental Huancayo Peru

ISBN: (纸本)9798350326369

Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39% for face detection similarity distance. © 2023 IEEE.

关键词： Students

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Effective Supervision for Enhancing Quality of Doctoral Research in computer science and engineering

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SN computer science 2023年第5期4卷 678页

作者： Malekian, Reza Department of Computer Science and Media Technology Malmö University Malmö 205 06 Sweden Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria 0083 South Africa

This article reflects on effective supervision and possible guidance for enhancing quality of doctoral research in the computer science and engineering field. The aims of this study are (1) to understand supervision and the role of supervisors in the quality of doctoral research, (2) to elaborate on effective supervision in the computer science and engineering field and challenges in effective supervision, and (3) to identify key indicators for evaluating effective supervision with a view to improving the quality of doctoral research. After studying various pieces of literature and conducting interviews with experienced supervisors and doctoral students, the article concludes by describing important characteristics in effective supervision. Some of the features for effective supervision are common to other areas of research;however, in computer science and engineering and similar fields, it is important that a supervisor takes the role of a team member by giving proper advice on the reports, algorithm and mathematical modeling developed in the research, and demonstrating the ability to provide advice on complex problems with practical approaches. © 2023, The Author(s).

关键词： computer science and engineering Doctoral research Doctoral students Effective supervision Quality Supervisor

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Undergraduate Research Experience Impact on Retention in an Electrical engineering and computer science (EECS) Program

Undergraduate Research Experience Impact on Retention in an ...

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2023 Congress in computer science, computer engineering, and Applied Computing, CSCE 2023

作者： Salmani, Hassan Mosleh, Mohsen Washington, Gloria Department of Electrical Engineering and Computer Science WashingtonDC United States Department of Mechanical Engineering WashingtonDC United States

ISBN: (纸本)9798350327595

Research has demonstrated the positive influence of Undergraduate Research Experience (URE) programs in science, Technology, engineering, and Mathematics (STEM) on students' educational journey and their development as scientists, ultimately aiding them in making informed career choices. However, traditionally, URE programs have primarily targeted junior and senior students who already possess disciplinary knowledge and exhibit a strong inclination to persist in STEM fields. This study aims to examine the effects of involving freshmen in the Industry-Research Inclusion in STEM Education (I-RISE) program, specifically in the disciplines of electrical engineering (EE) and computer science (CS), on student retention. The I-RISE program integrated research opportunities for undergraduate students with mentorship activities, facilitating the acquisition of relevant skills in applied computing and engineering techniques, research methodologies, and the attainment of internships. Analyzing the retention rates of three distinct cohorts of I-RISE participants over a span of three years revealed significantly higher retention rates compared to students who did not partake in the I-RISE program. © 2023 IEEE.

关键词： Mentoring Retention Undergraduate Research Experience

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Work-in-Progress: Integrating Generative AI with Evidence-based Learning Strategies in computer science and engineering Education 53

Work-in-Progress: Integrating Generative AI with Evidence-ba...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Lauren, Paula Watta, Paul Lawrence Technological University Department of Mathematics and Computer Science SouthfieldMI United States University of Michigan-Dearborn Department of Electrical and Computer Engineering DearbornMI United States

ISBN: (纸本)9798350336429

Generative AI assistants are AI-powered applications that can provide personalized responses to user queries or prompts. A variety of AI assistants have recently been released, and among the most popular is OpenAI's ChatGPT. In this work-in-progress in innovative practice, we explore evidence-based learning strategies and the integration of Generative AI for computer science and engineering education. We expect this research will lead to innovative pedagogical approaches to enhance undergraduate computer science and engineering education. In particular, we describe how ChatGPT was used in two computing-based courses: a Junior-level course in database systems and a Senior-level class in mobile application development. We identify four evidence-based learning strategies: well-defined learning goals, authentic learning experiences, structured learning progression, and strategic assessment. We align these strategies with the two aforementioned courses and evaluate the usefulness of ChatGPT specifically in achieving the learning goals. Combining Generative AI with evidence-based learning has the potential to transform modern education into a more personalized learning experience. © 2023 IEEE.

关键词： Artificial Intelligence in Education (AIEd) Generative AI pedagogy

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WIP: Beyond Code: Evaluating ChatGPT, Gemini, Claude, and Meta AI as AI Tutors in computer science and engineering Education 54

WIP: Beyond Code: Evaluating ChatGPT, Gemini, Claude, and Me...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Nath, Sagnik Yoon, So Yoon University of California Santa Cruz Dept. of Computer Science and Engineering Santa Cruz United States University of Cincinnati Dept. of Engineering and Computing Education Cincinnati United States

ISBN: (纸本)9798350351507

This Work-in-Progress research paper evaluates the validity of Large Language Models (LLMs) as conversational AI tutors for computer science learning. While current engineering education literature has predominantly emphasized the rapid evolution of LLMs as conversational AI tutors for programming languages, the exploration into their effectiveness within general STEM topics remains comparatively scarce. This WIP study thus centers on evaluating the potential of LLMs to facilitate understanding of core hardware design concepts critical to computer science and engineering (CSE) education. By cross-checking the responses from generative AI chatbots to an openended CSE-based question, we aimed to uncover how LLMs, such as ChatGPT-3.5, Claude, Gemini, and Meta AI, can contribute to teaching and learning of general CSE courses instead of a specifically coding-based one. Our method involved simulating a student query on the popular debate between CISC vs. RISC related to computer architecture and analyzing the chatbots' responses. This initial collection of data served as the foundation for a continual comparative analysis aimed at determining the inherent instructional value of each LLM and its validity and reliability. To systematically assess the responses, we introduced an evaluation framework focusing on metrics, such as response accuracy, persuasiveness, and depth of explanation. The current work anticipates not only enriching our understanding of how these advanced LLMs can support general CSE education but also identifying areas where further development is needed for a more holistic integration of LLM-based chatbots in assisting student comprehension in the overarching engineering education. © 2024 IEEE.

关键词： engineering education

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THE ETHICAL UNDERSTANDING OF ENTRY LEVEL engineering AND computer science STUDENTS 50

THE ETHICAL UNDERSTANDING OF ENTRY LEVEL ENGINEERING AND COM...

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50th Annual Conference of the European Society for engineering Education, SEFI 2022

作者： Watterson, C.A. Lundqvist, K. Quilty, J.W. School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

ISBN: (纸本)9788412322262

Ethics is considered an essential aspect of tertiary computer science and engineering education and forms a core part of professional accreditation for degree providers. The authors have been unable to locate a study in New Zealand on computer science and engineering students' ethical beliefs, making this study an important exploration in this field. This study investigates the incoming first-year cohort's beliefs and understanding of ethical issues across three areas: students, future employees and members of society. We conducted the study over two consecutive years to investigate cohort beliefs. For most questions, the students provided high ethical responses, except in the areas of "software piracy and copyright" and "misuse of computer resources". In one year a small but significant number of female students indicated very low agreement that plagiarism is unethical. This research identified the importance of gaining an insight into student ethical beliefs as cohorts can differ in opinions. The findings challenge the common practice of teaching the same material over multiple years with the recommendation that teaching is adapted to address differences in students' ethical beliefs. © 2022 SEFI 2022 - 50th Annual Conference of the European Society for engineering Education, Proceedings. All rights reserved.

关键词： engineering education

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