, 2023 Creating and implementing a custom chatbot in engineering education Shameel Abdullah, Yasser-Al Hamidi, and Marwan Khraisheh Mechanical Engineering Program, Texas A and M University at QatarAbstractThis paper investigates the development and use of a chatbot in an engineering curriculum. Thechatbot helps students find course materials, answer general inquiries, schedule meetings withprofessors and teaching assistants, and much more. Students require assistance during their timeat university. College life is stressful, and tasks such as keeping track of deadlines, schedulingmeetings, and finding resources become daunting as the semester progresses. The constant emailexchanges about general course
ways of knowing and doing typical of their disciplines. To this end, his research asks about the long-term implications of graduate student and faculty AI use for the nature of knowledge and knowing writ large.Dr. Andrew Katz, Virginia Polytechnic Institute and State University Andrew Katz is an assistant professor in the Department of Engineering Education at Virginia Tech. He leads the Improving Decisions in Engineering Education Agents and Systems (IDEEAS) Lab. ©American Society for Engineering Education, 2025Automated Analysis of Knowledge Types in Computer Science Textbooks: ANatural Language Processing Approach to Understanding Epistemic ClimateIntroductionCurricular materials, such as textbooks
. She also serves as Director of the Craig and Galen Brown Engineering Honors Program. She received her BS, MS, and PhD from the College of Engineering at Texas A&M. Kristi works to improve the undergraduate engineering experience through evaluating preparation in areas, such as mathematics and physics, evaluating engineering identity and its impact on retention, incorporating non-traditional teaching methods into the classroom, and engaging her students with interactive methods.Dr. Michael S Rugh, Texas A&M University Michael S. Rugh is an Associate Research Scientist for the LIVE Lab at Texas A&M University. He has a B.S. and M.S. in Mathematics and a PhD in Curriculum and Instruction. He received the
posters to give you an idea of the caliber and diversity of thework that was presented during the symposium. The innovative research that was presented,which covered subjects including robots, artificial intelligence (AI), cybersecurity, and theInternet of Things (IoT), is encapsulated in these images.Figure [2]: From Basics to Bots with AI Testcases- Integrating Programmable Robots (Delvan Paulino, undergraduate researcher)Figure [3]: Advancing IoT Security Through Run-time Monitoring & Post Execution Verification (Mehdi Elahi, graduate researcher)Apart from the poster presentations, the symposium offered priceless networking opportunitiesthat helped students, scholars, and business professionals connect. Through these exchanges
pedagogy, fairness in AI, disinformation, social justice addressing theinequities of society, and ethics/professionalism topics. In most of these topics, equity incomputing is still forming and not widely seen as an integral part of the discipline.N. Washington [31] discusses the glaring omission of non-technical issues from the CScurriculum that would allow CS students, and future professionals, to understand, analyze, andoffer solutions about the inequity and lack of representation that exists in computing. Dr.Washington argues that there is a need for all CS students to have a level of cultural competenceso that students can begin to understand, critically analyze and look for solutions that willimprove equity in our field. Another CS Educator
Computing, Georgia Institute of Technology Abstract Sum-of-Products (SOP) expressions are two-level representations of Boolean functions consisting of an OR sum of AND terms. There exist many methods of SOP synthesis, but the Karnaugh map method is the most frequently taught in undergraduate curriculum. Unfortunately, most traditional approaches to teaching Karnaugh map-based SOP minimization are not very engaging for the learner. To increase student engagement, game-based approaches to teach- ing are increasingly being used to supplement traditional teaching methods. There has been limited research into extending such game-based teaching ap- proaches towards SOP minimization with Karnaugh maps. This paper pro
robot useful,while the AR robot scored highly in the interest portion of the MUSIC model.This study highlights the potential of AR and VR technology to motivate students in the field of robotics. Theimplementation studied was an effective proof of concept, and future iterations will include a fully immersiveprogramming interface within a virtual environment to allow collaboration over shared tasks and resources, evenwhen geographically separated. Future iterations will also incorporate accessibility and inclusivity to a greater degreeby leveraging Universal Design for Learning (UDL) principles to integrate the tool effectively into the curriculum of anundergraduate engineering course.Keywords: Virtual Reality, robotics, Engineering Education
, particularly in the education sector.Dr. Mihai Boicu, George Mason University Mihai Boicu, Ph.D., is Associate Professor in the Information Sciences and Technology Department at George Mason University. He is an expert in artificial intelligence, structured analytical methods, probabilistic reasoning, evidence-based reasoning, personalized education, active learning with technology, crowd-sourcing, and collective intelligence. He is the main software architect of the Disciple agent development platform and coordinates the software development of various analytical tools used in IC and education. He has over 150 publications, including 2 books and 3 textbooks. He has received the Innovative Application Award from the
students agreed or stronglyagreed that the system enabled them to identify areas for improvement in their interviewpreparation. The results from this work could be valuable for educators and administratorslooking to enhance their curriculum and integrate new technologies to improve the careertrajectory of students. We also hope to raise awareness of the effectiveness of using virtual realityas a career training approach to help students combat anxiety and gain practice usinglow-pressure interactive scenarios.1 IntroductionAs of March 2023, roughly 5.8 million individuals were seeking employment in the United States[1]. Although the hiring process can be intimidating for all applicants, it can be especiallydaunting for those new to the job market
, including customized courses, tests, and comments. APA that serves as an engaging tutor or guide can convey this content, creating the appearanceof a personal instructor while preserving the effectiveness of AI-driven customisation.Students can benefit from both individualized content and emotional support thanks to thiscollaboration, which makes their academic path efficient and interesting. Additionally, by integrating GenAI with PAs, educators may be able to monitor studentprogress in real time and offer customized interventions. PAs may provide timely help andmotivational support when GenAI pinpoints areas where students struggle, improving theeducational process. Teachers would have more time to devote to higher-level teaching taskslike
has mentored dozens of graduate and undergraduate students in research and K-12 outreach activities and is the Director of the Excellence in Computing and Information Technology Education (ExCITE) program. She is a fellow of the Center for the Advancement of STEM Leadership Program (CASL) and the Opportunities for Under-Represented Scholars (OURS) post-graduate institutional leadership certificate program and an alumna of the Frontiers of Engineering Education program (FOEE) of the National Academy of Engineering. She has been serving on the Project Kaleidoscope (PKAL) Capital Area Regional Network steering committee since 2016.Rui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College &
within these streams, and whether these opportunities affect real-timeproblem-solving for streamers. Additionally, we aim to identify the different types of interactionswithin the stream and how they lend themselves to forming an informal learningenvironment.Through studying human and social aspects of development, we aim to make severalcontributions to software engineering education research by: • observing the types of interactions in development live streams and how they impact a streamers’ software development practices • discussing the benefits of live streaming as a form of knowledge transfer, where knowledge transfer occurs, and who initiates transfer within a live streamThis work aims to better understand the human and
improving the classroom experience for both students and instructors. ©American Society for Engineering Education, 2023How much deadline flexibility on formative assessments should we be giving to our students?AbstractRecent studies have proposed new ways of providing learning experiences and measuringstudents’ achievement of learning goals, grounded on the principles of growth mindset, masterylearning, and specifications grading. In one initiative called “A’s for All (as time and interestallow)”, students are given the support to achieve the proficiency they want (not necessarily an A)as long as they are willing to put in the time and effort, thus providing students more control
traditionalmake that was just discussed, or the ninja build system, which is a like a stripped down version ofmake.Compared to using traditional make, CMake focuses more tightly C development, and has variousoptions to generate configuration files for static analyzers, which we will discuss in Section . It iswell supported by the development environments discussed in Section , such as Visual Studio,CLion, and Visual Studio Code. However, CMake configuration files (CMakeLists.txt) perferexplicit rules which make it more verbose than make.Unit Test FrameworkUnit testing is used in many programming courses. Test-driven development is already a wellestablished workflow for software development, so integrating unit tests into the curriculum ishelpful for
Paper ID #39344Identifying Collaborative Problem-Solving Behaviors Using SequentialPattern MiningYiqiu Zhou, University of Illinois, Urbana-ChampaignQianhui Liu, University of Illinois, Urbana-Champaign Qianhui (Sophie) Liu is a PhD student in the Department of Curriculum & Instruction, College of Edu- cation at UIUC. Her research interests are learning analytics, educational data mining, computer science education, and explainable AI.Sophia Yang, University of Illinois, Urbana-Champaign Sophia Yang is a second-year Ph.D. candidate with research work focused in the areas of Computing Education, Database Systems
equity, inclusion, andoverall representation in these areas need to be addressed more. In recent years, there has been arise of college-to-company pipeline initiatives with the purpose of increasing thedisproportionately under-representation of black women in tech. However, there has only been aslight increase in the representation of black women in tech from these initiatives, which stillindicate an insufficient level of their representation in tech.The objective of this research is to examine critical factors that impact the representation ofblack women in CS. To look at such factors directly, this article discusses a case-study consistingof a series of focus groups conducted on 24 black women, who were either current CS majors orrecent
Paper ID #43440Exploring Cybersecurity Hands-on Labs in Pervasive Computing: Design,Assessment, and ReflectionProf. Anyi Liu, Oakland University Anyi Liu received his Ph.D. degree in Information Technology from George Mason University, Virginia. He is currently an Associate Professor in the Department of Computer Science and Engineering at Oakland University, Michigan, USA. His research interests primarily lie at the intersection of system security, software security, intrusion detection, intrusion prevention, and digital forensics. His research is supported by the National Science Foundation and Michigan Space Grant
Senior Design during the Fall 2024 semester. Results are presented along with aqualitative analysis of student feedback. Considerations for improving the surveys and theirimplications on future sections of the capstone are also discussed.Keywords: Computer science capstone, senior design, teamwork, task planning, project-basedcourses, project management, collaborative learning, project scoping1. IntroductionDemonstrating proficiency in various systems, tools, and programming languages — while thesetechnical skills are indeed an integral part of the computer science curriculum, with the rise ofChatGPT and other LLMs, the so-called ‘soft skills’ of team-based communication andcollaboration are sought after now more than ever amongst industry
Paper ID #40242Data Science (Dataying) for Early ChildhoodDr. Safia A. Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic de- signer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Lior Shamir, Kansas State University Associate