Displaying all 9 results
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- Computing and Information Technology Division (CIT) Technical Session 2
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- 2023 ASEE Annual Conference & Exposition
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- Opeyemi Taiwo Adeniran, Morgan State University; Md Mahmudur Rahman, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Eric Sakk; Chukwuemeka Duru; Frank Efe; Pelumi Olaitan Abiodun, Morgan State University; Jumoke 'Kemi' Ladeji-Osias, Morgan State University
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. ©American Society for Engineering Education, 2023 Preliminary Experience and Impact of Experiment-focused Teaching Approach in a Computer Architecture Course in Computer ScienceAbstract—One of the key knowledge areas in Computer Science (CS) is Digital Logic andComputer Architecture where the learning outcome is an understanding of Boolean algebra, logicgates, registers, or arithmetic logic units, etc. and explaining how software and hardware arerelated to a computing system. Experimental Centric based Instructional Pedagogy (ECP) withportable laboratory instrumentation might provide real hands-on experience to obtain a practicalunderstanding of those concepts at a lower cost compared to virtual hands-on laboratories thatlack direct
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 7
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- 2023 ASEE Annual Conference & Exposition
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- Sagnik Nath, University of California, Santa Cruz; Jennifer Quynn, University of California, Santa Cruz; Jose Renau
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Paper ID #37199Developing the ITL framework and committing to inquiry as a method forreducing equity gaps in high-impact, computer science and engineeringcoursesDr. 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 En- gineering division of Baskin Engineering at UC Santa Cruz. His research interests include incorporating DEI in
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 4
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- 2023 ASEE Annual Conference & Exposition
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- Computing and Information Technology Division (CIT)
the fundamentals ofembedded systems and IoT.” Some other student responses to this question are as follows.“developing real world work”,“The professor really helped us in anyway she could.”Next, the students were asked “Did you understand what was expected of you in this course?”. Inresponse to this question, 50% replied Extremely well, 25% Well and 25% reasonably well. As areply of the question “Were you adequately prepared in the prerequisite course to take this course?”, 50% response was Extremely Well, 25% replied Well and 25% students responded poorly.5 ConclusionsIn this paper, I presented some laboratories that the students conducted using a remote simulationtool: Tinkercad. The pedagogical approach of remote teaching was briefly
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 5
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- 2024 ASEE Annual Conference & Exposition
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- Yumin Zhang, Southeast Missouri State University
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and Computer Engineering havebeen called upon to teach certain CS courses. From their standpoint, there appears to be adisparity between software and hardware, with CS students often lacking fundamental awarenessof the digital circuits that form the backbone of software operations. While courses in computerorganization and architecture are the most relevant in addressing hardware aspects, their primaryfocus tends to be on register-transfer level optimizations [1-3].To furnish CS students with a comprehensive understanding of computer systems from theground up, we offer a course that commences with the fundamentals of basic logic gates. Asshown in Fig. 1, it covers layers 4-7 on logic gates, digital circuits, micro-architecture, and ISAthat
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 3
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- 2023 ASEE Annual Conference & Exposition
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- Catalina Aranzazu-Suescun, Embry-Riddle Aeronautical University; Luis Felipe Zapata-Rivera
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the past worked as an assis- tant researcher in the group of educational Technologies at Eafit University in Medellin, Colombia. His research area is the online Laboratories ©American Society for Engineering Education, 2023 Learning Outcomes as a Self-evaluation Process Catalina Aranzazu-Suescun, Ph.D.1 and Luis Felipe Zapata-Rivera, Ph.D.2 1 Assistant Professor, Department of Cyber Intelligence and Security 2 Assistant Professor, Department of Computer, Electrical and Software Engineering Embry-Riddle Aeronautical University, Prescott CampusAbstractLearning outcomes are measurable statements that can be used to
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 2
- Collection
- 2023 ASEE Annual Conference & Exposition
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- Hashmath Fathima, Morgan State University; Kofi Nyarko, Morgan State University
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Computer Engi- neering at Morgan State University. He also serves as Director of the Engineering Visualization Research Laboratory (EVRL). Under his direction, EVRL has acq ©American Society for Engineering Education, 2023 Holistic Review of Multi-Site Combined REU/RET Program and the Long-Term Effects of Hybrid Mode of Instruction AbstractTo increase the participation and graduation rates of post-secondary students fromunderrepresented and minority groups in the field of engineering, the Smart City ResearchExperience for Undergraduates (REU) and Research Experience for Teachers (RET) (SCR2)Mega-Site program was introduced in 2018. The SCR2
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 3
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- 2023 ASEE Annual Conference & Exposition
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- Chris Marriott; Menaka Abraham; Heather E. Dillon, University of Washington
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Paper ID #38210Labor-based Grading in Computer Science: A Student-Centered PracticeChris MarriottMenaka AbrahamDr. Heather E. Dillon, University of Washington Dr. Heather Dillon is Professor and Chair of Mechanical Engineering at the University of Washington Tacoma. Her research team is working on energy efficiency, renewable energy, fundamental heat transfer, and engineering education. Before joining academia, she worked for the Pacific Northwest National Laboratory (PNNL) as a senior research engineer working on both energy efficiency and renewable energy systems, where she received the US Department of Energy Office of
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 5
- Collection
- 2023 ASEE Annual Conference & Exposition
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- Robin A.M. Hensel, West Virginia University; Katerina Goseva-Popstojanova, West Virginia University; Sadaf Amna Sarwari
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roles within higher education; secured over $5.5M support for STEM education research; and led several program development efforts, including: a childcare facility at a federal research laboratory, an M.S. Molecular Biology/Biotechnology degree program at a small internationally-focused teaching insti- tution, and a first-year engineering program and a B.S. Engineering Technology degree program at an R1 research institution. She has been recognized for her teaching, advising, and service, and as an Exemplary Faculty Member for Excellence in Diversity, Equity, and Inclusion.Prof. Katerina Goseva-Popstojanova, West Virginia University Dr. Katerina Goseva-Popstojanova is a Professor at the Lane Department of Computer
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 6
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University
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concerns and family responsibilitiesas key factors affecting students’ mental well-being, with many students juggling multiple responsibilities alongsidetheir academic pursuits ([34]).Development of rPPG Technology In the development of rPPG technologies, significant challenges arise in real-time data acquisition and processing,particularly when integrating with systems like LLMs. One of the key challenges has been adapting rPPG algorithmsto work effectively across diverse demographics and in various environmental conditions, as traditional connectedPPG algorithms often focus on homogenous subject groups in stationary laboratory settings. Recent advancementsin rPPG have enhanced its accuracy and adaptability, particularly in varied environmental