). A systematic literature review to identifyempirical evidence on the use of computer games in business education and training. InEuropean Conference on Games Based Learning (p. 232). Academic Conferences InternationalLimited.[7] Ashinoff, B. K. (2014). The potential of video games as a pedagogical tool. Frontiers inPsychology, 5, 1109. https://doi.org/10.3389/fpsyg.2014.01109[8] Rosas, R., Nussbaum, M., Cumsille, P., Marianov, V., Correa, M., Flores, P., ... & Salinas,M. (2003). Beyond Nintendo: design and assessment of educational video games for first andsecond grade students. Computers & Education, 40(1), 71-94. https://doi.org/10.1016/S0360-1315(02)00099-4[9] Solorzano Alcivar, N. I., Pincay Lino, A. J., Toapanta Cedeno, G. N
Paper ID #41059Enhancing High-Level Language Concept Comprehension through a NotionalMachine Approach of Assembly Language EducationDr. SAGNIK NATH, University of California, Santa Cruz Sagnik Nath received his PhD in Electrical Engineering from Renssalaer Polytechnic in 2020 and his B.E. in Electronics and Communications Engineering in 2015 from Indian Institute of Engineering Science and Technology, Shibpur, India. He is currently a Teaching Professor at the Computer Science and Engineering division of Baskin Engineering at UC Santa Cruz. His research interests include incorporating DEI in engineering education, computer
as teaching materials, teaching strategies, and unclearenhance the quality of learning for our students and provide syllabi.industry with a resource of skilled graduates. Through mutu- By creating a blueprint, we have consistent course materialsally beneficial forms of engagement, we support the lifelong and a common syllabus between different sections of eachlearning needs of our alumni. We promote economic and social course. The effective pedagogy goal we strive for is drivendevelopment in communities that include Boston and beyond. by course coordination that happens in the CS I and CS II classes, which results in common
. Townsend, K. Stewart, and A. Johnson, “Recruiting students of color through a student organization.”, in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, Mar. 2021, pp. 1249-1249.
electrical engineering from the University of Wisconsin-Madison in 1992. Currently, he is a Distinguished Professor and Schweitzer Engineering Laboratories Endowed Chair in Power Engineering in the Department of Elec ©American Society for Engineering Education, 2023 Building and Testing an Economic Faraday Cage for Wireless, IoT Computing Education and Research Colton R. Hotchkiss, Ananth A. Jillepalli, Stu A. Steiner, Daniel Conte de Leon, Herbert Hess, Brian K. Johnson University of Idaho, Eastern Washington University [hotchkiss, ajillepalli, dcontedeleon, hhess, bjohnson]@uidaho.edu, ssteiner
engineering education, computer architecture and VLSI design.Jennifer Quynn, University of California, Santa Cruz Jenny Quynn, a curriculum advisor at UC Santa Cruz, specializes in innovative professional development for engineering instructors. Her faculty-centered approach addresses the needs and concerns of teach- ers, focusing on measuring program efficacy through instructor morale and student outcomes. With 30+ years of experience as a teacher and educator, Jenny offers customized support solutions for any teaching challenge. She holds a PhD in Educational Psychology from the University of Washington (2013) and continues to contribute to the field, driving innovation in engineering education and enhancing teaching
interested in the project topic. I have also not (yet) removed afinal exam in the course, however, I think there is a case to be made for replacing the final examaltogether with BYOP.[21]Though BYOP requires more investment by the instructor the benefits to this approach areconsiderable: • Increased engagement • Continued engagement beyond the first programming course • Students strengthen their learning in material that they need to accomplish their project, thus “catching up” in a sense • Students learn material not directly covered in class • Underrepresented students can feel supported because projects they are introduced are validated as being worth doing • Continuous learning beyond the course through
with someone who can see theirsurroundings via the phone’s camera and answer any question the user might have. There are other smart home devices that, while not specifically targeted to disabled users,can be leveraged to great effect by those needing extra assistance in their homes. Voice-activateddevices such as Alexa and Google Home can serve as a valuable source of information andentertainment for people who have difficulty seeing or using a standard keyboard. Smart outletscan allow remote access to appliances or lights, making it easier for those with mobility issues tointeract with their environment without needing to walk all the way through their house. Ringdoorbells and internal cameras can also help those with mobility issues
connected to the internet through Wi-Fi to be remotely monitored and controlled.WSN technologies allow placing different sensors and actuators around the home to gatherinformation and process it to monitor and control the home efficiently.As mankind has evolved, technology has grown and expanded with it. Educational excellencerequires exposing students to the current edge of research. To ensure that student projects arealong the same trajectory that the industry is moving, educators must continually introduceemerging techniques, practices, and applications into the curriculum. The fields of IoTs andWSNs are growing rapidly, and there is increasing interest in providing undergraduate studentswith a foundation in these areas. This paper presents IoT
Students to Navigate Technical InterviewsAbstractObtaining a computing position can entail hiring practices distinct from other domains in thatthey frequently involve technical interviews, an approach which emphasizes real-time evaluationof programming abilities. Apart from requiring that job candidates find the correct solution, theyare also encouraged to find one that is efficient and optimal while also speaking through theirthinking. Although computing students may be familiar with the theoretical and foundationaltopics necessary to succeed, traversing the employment process may be particularly daunting andnecessitate immense preparation. To better understand how education may enhance students’readiness, we conducted a focus
(ICACIT), IEEE, 2019, pp. 1–4.[8] O. Saidani, L. J. Menzli, A. Ksibi, N. Alturki, and A. S. Alluhaidan, “Predicting student employability through the internship context using gradient boosting models,” IEEE Access, vol. 10, pp. 46472–46489, 2022.[9] S. Mchugh, K. Quille, L. Carmody, and K. Nolan, “Developing an On-Campus Internship Model for Computing Students-An Alternative Experiential Learning Pathway,” presented at the Proceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research, 2022, pp. 1–7.[10] N. Kumar et al., “Factors Affecting the Future Career Pathway Decisions of Lower-income Computing Students,” presented at the 2023 ASEE Annual Conference & Exposition, 2023.[11] İ
Intelligence(AI). This category of AI, utilizing deep learning, a subset of Machine Learning (ML), excels inprocessing and generating natural language text. The ChatGPT model undergoes training onextensive datasets, empowering it to grasp the details and complexities inherent in humanlanguage. ChatGPT has a significant ability to produce high-quality text that seamlessly mirrorshuman writing. Its proficiency extends to extracting knowledge and addressing challengingacademic queries. This inherent capability enables it to tackle examination questions that mayprove elusive through conventional web searches, delivering responses that are not only accuratebut also dependable [5]. ChatGPT stands as a promising tool with versatile applications
students earn theirfirst undergraduate degree; and 2) different intersectional groups. We focused specifically onstudents from CIP6 11, Computer and Information Sciences and Support Services. Our analysisof MIDFIELD illustrated that many intersectional populations of students who transferred intocomputing came from another engineering field. However, several racial and ethnic groups ofwomen primarily entered through non-STEM fields. Among these women, those who identifiedas Black and those who identified as Hispanic or Latinx most often switched from a Businessmajor, at 31.5% and 29.4%, respectively. Meanwhile, women classified as International and thosewho identified as White most often transferred from the Liberal Arts/Humanities, at 41.7
dynamics,which bolsters understanding through the exchange of shared ideas. Meanwhile, Hadfield-Menellet al. [17] study on cooperative inverse reinforcement learning concentrated on theoreticalaspects, lacking practical, real-world validation. Additionally, Vliet et al. [19] explored theeffects of flipped-class pedagogy on student motivation and learning strategies, notingimprovements in critical thinking and peer learning. However, the observed benefits wereshort-lived, suggesting the necessity for continuous application.In the Computer Architecture curriculum, teaching the challenging topics of single cycle andpipelined datapath design to senior students requires an innovative approach beyond traditionaltextbook methods. This paper introduces a
experience working with educational and learning systems for K-12 education in rural Nepal has shaped his research focus on building system support for resource-constrained environments. His current research interests include edge computing and distributed systems, adaptive systems, middleware, sustainable and scalable edge systems, educational technologies and learning sciences.Zheng Song, University of Michigan, Dearborn Dr. Song received his second PhD in Computer Science (with a focus on distributed systems and software engineering) from Virginia Tech USA in 2020, and the first PhD (with a focus on wireless networking and mobile computing) from Beijing University of Posts and Telecommunications China in 2015. He worked
theoretical concepts such as syntax and semantics but also practicalconcepts such as problem-solving at the same time, which results in cognitive overload.Furthermore, the current university students are mobile-savvy, and their learning needs areimmediate and interactive. They prefer autonomy, learning in a short period, and immediateapplication of the knowledge they acquired. Thus, to engage and motivate these students, a newinstructional strategy that is cognizant of their learning needs is needed.This work entails the complete redesign of CIT 21400 through microlearning-based instructionbased on student needs and course learning objectives. Microlearning is a successful form oflearner-centered instructional approach with many features that should
pathways: A look into upward transfer students’ sense of belonging in computing,” New Dir. Community Coll., vol. 2022, no. 198, pp. 63–75, 2022, doi: 10.1002/cc.20511.[7] S. Lunn, M. Ross, Z. Hazari, M. A. Weiss, M. Georgiopoulos, and K. Christensen, “How Do Educational Experiences Predict Computing Identity?,” ACM Trans. Comput. Educ., vol. 22, no. 2, pp. 1–28, Jun. 2022, doi: 10.1145/3470653.[8] S. N. Runa, B. A. Becker, and C. Mooney, “Variations in Sense of Belonging in Undergraduate Computing Students Through the COVID-19 Pandemic,” in The United Kingdom and Ireland Computing Education Research (UKICER) Conference, Dublin Ireland, Sep. 2022, pp. 1–1. doi: 10.1145/3555009.3555029.[9] J. Mahadeo, Z. Hazari, and G
, and 3, one can see the decreasing horizontal trend: thenumber of students taking CS3 is less than the number of students taking CS2, and the number ofstudents taking CS2 is less than the number of students taking CS1. This decreasing trend isexpected as the pool of students who are required to take CS1, CS2, and CS3 decreases throughoutthis course sequence for non-CST majors. This jump in enrollment is demonstrated in Figure 1. Itmust be pointed out that the pattern of higher enrollment for CS1 in the Fall semesters and lowerenrollment for CS1 in the Spring semesters was a typical pattern before COVID-19. It looks likethis pattern holds in post-COVID-19 terms as well. However, further analysis beyond Spring 2022is necessary for reliable
network connecting the participating schools.IntroductionInitially established in 1987, the REU program expands access to research opportunities forstudents from minority groups and non-research-focused tertiary institutions [1]. The NationalScience Foundation (NSF) launched the Research Experience for Undergraduates (REU)program to support this. This program has been proven to support undergraduates to pursueThis material is based upon work supported by the National Science Foundation under GrantNo. 1849454.graduate study in science, technology, engineering, or mathematics (STEM) [2-4]. This researchprogram has also improved students' ability to work through the uncertainty in researchproblems, sharpening their leadership skills, gaining a more
Department of Education Office of Educational Technology, the priorities of k-12 schools are focused on basics: improved Internet connectivity, student access to betterlearning devices, development of high-quality digital learning content, and creation ofResponsible Use Policies (RUPs) [5]. Ninety-nine percent (99%) of United States schools havefiber connectivity; however, only percent (38%) of all school districts meet the FCC’s 1 Mbpsper student standard for broadband connectivity [6]. Reliable access to electricity, computers,and a high-speed Internet connection are essential prerequisites for an operational LMS-CRMcapability; however, these are not available in many schools, especially in antiquated schoolbuildings [7], [8]. Large-scale
public sectors for their help and support to the ACCESS program. We also thank theNSF S-STEM ACCESS program external evaluators from the Center for Evaluation & Researchfor STEM Equity (CERSE) at the University of Washington.References[1] R. Hensel and K. Goseva-Popstojanova, “Development of a Cybersecurity Professional Identity” in Proceedingsof the 2022 ASEE Annual Conference & Exposition, June 2022, Minneapolis, MN, 18 pages,[https://peer.asee.org/41591][2] S. Krause-Levy, W. G. Griswold, L. Porter, and C. Alvarado. “The Relationship Between Sense of Belongingand Student Outcomes in CS1 and Beyond” in Proceedings of the 17th ACM Conference on InternationalComputing Education Research (ICER 2021), August 16–19, 2021, Virtual Event, USA