Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Bryan A. Jones, Mississippi State University; Jane N. Moorhead, Mississippi State University

Tagged Divisions

Computers in Education

RunestoneInteractive platform should provide additional insight into student learning using this novel ap-proach.In conclusion, the combination of a free, widely-used interactive e-book platform with the lit-erate programming paradigm provides authors with powerful tools to create engaging student ex-periences in a wide variety of electrical engineering and computer science topics.References[1] R. Saracco, "Guess what requires 150 million lines of code....," 13 January 2016. [Online]. Available: https://www.eitdigital.eu/news-events/blog/article/guess-what-requires-150- million-lines-of-code/. [Accessed 5 February 2017].[2] C. Watson and F. W. Li, "Failure rates in introductory programming revisited," in Proceedings of the 2014 conference on

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Bryan A. Jones, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Divisions

Computers in Education

State University, Mississippi State, MS. From 1996 to 2000, he was a Hardware Design Engineer with Compaq, where he specialized in board lay- out for high-availability redundant array of independent disks (RAID) controllers. His research interests include engineering education, robotics, and literate programming.Dr. Mahnas Jean Mohammadi-Aragh, Mississippi State University Dr. Jean Mohammadi-Aragh is an assistant professor in the Department of Electrical and Computer Engi- neering at Mississippi State University. Dr. Mohammadi-Aragh investigates the use of digital systems to measure and support engineering education, specifically through learning analytics and the pedagogical uses of digital systems. She also

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Natalia Ozymko, University of Illinois at Urbana - Champaign; Matthew Allan McCarthy, University of Illinois at Urbana - Champaign; Wade Fagen-Ulmschneider, University of Illinois at Urbana - Champaign; Karin Jensen, University of Illinois at Urbana - Champaign; Karle Flanagan, University of Illinois at Urbana - Champaign

Tagged Divisions

Computers in Education

, optimizing efficiency in office hours for large classes, and active learning methods for undergraduate statistics instruction. c American Society for Engineering Education, 2020 Work in Progress: Analysis of the impact of office hours on graded course assessments0. Abstract:In this work, we used log files gathered from an online queueing system and combined thoselogs with the scores students earned on graded assessments. With data from four sections acrosstwo semesters of a large sophomore-level computer science course, this work is the largestknown observational analysis of the impact of office hour attendance on graded assessments.This work in progress begins this analysis by

Conference Session

Social Media and In-class Technology: Creating Active Learning Environments

Collection

2012 ASEE Annual Conference & Exposition

Authors

Xin Chen, Purdue University, West Lafayette; Mihaela Vorvoreanu, Purdue University, West Lafayette; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

recommendation purposes. Thisstudy uses social media monitoring tool Radian6 to collect data from Twitter about engineeringstudents’ college experiences. The data are analyzed both in Radian6 and manually usingqualitative content analysis. The results shed light into the academic context and social contextof engineering students’ learning experiences. This exploratory study also considers the potentialof social analytics tools for engineering education research. Social media analytics toolsspecifically for educational purposes need to be developed in the future.1. IntroductionMaintaining the U.S. scientific and technical talent pool has been a top priority in highereducation. In 2005, the National Academies report “Rising Above the Gathering

Conference Session

Social Media and In-class Technology: Creating Active Learning Environments

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette; Erin E. Bowen, Purdue University, West Lafayette; Dawn D. Laux, Purdue University

Tagged Divisions

Computers in Education

, R. in 8th International Conference on Web Based Learning. (eds M. Spaniol, Q. Li, R. Klamma, & R.W.H. Lau) 78-87 (Springer).9 Stepanyan, K., Borau, K. & Ullrich, C. in 10th IEEE International Conference on Advanced Learning Technologies. 70-72.10 Ullrich, C., Borau, K. & Stepanyan, K. Who students interact with? A social network analysis perspective on the use of Twitter in language learning. Lecture Notes in Computer Science 6383, 432-437, doi:10.1007/978-3-642-16020-2_33 (2010).11 Sinnappan, S. & Zutshi, S. Using Mmcroblogging to facilitate community ofiInquiry: An Australian tertiary experience. ASCILITE 2011 (2011).12 Markham, S. A. & Belkasim, S. Collaborating across international

Conference Session

Social Media and In-class Technology: Creating Active Learning Environments

Collection

2012 ASEE Annual Conference & Exposition

Authors

John Patrick Hogan, Missouri University of Science & Technology; Dan Cernusca, Missouri University of Science & Technology

Tagged Divisions

Computers in Education

over issues related to the structure of educational process forboth students and instructors. The spreading of computer and information technology in bothsocial and educational environments enhanced the generational issues and stimulated morefocused research on those generations that were either exposed early or were born with advancedtechnology tools. Researchers identified, among others, the “Net Generation” 1, the “Millennials”2,3,4 or “Me Generation” 5,6, depending on the main characteristics used to define the generationalgroup. Among these, the Millennials attracted a significant body of research that extended fromgeneral characteristics7,8 , to learning4 and to work related issues and strategies9,10.From the learning and

Conference Session

Social Media and In-class Technology: Creating Active Learning Environments

Collection

2012 ASEE Annual Conference & Exposition

Authors

Gonca Altuger-Genc, University of Massachusetts, Lowell; Yegin Genc, Stevens Institute of Technology

Tagged Divisions

Computers in Education

students’experience with the process and their feedback. One of the questions was intended tolearn students’ commitment to help other students after they graduate. They werepresented with the question below; results are presented in Figure 2.“Once the semester is over, I will continue to “like” the page, so I can have access tomore links in the upcoming years. This could be beneficial for my career.” Figure 2. Students’ Post-Graduation Use of the Course Facebook PageThe implementation of computer-based technologies, simulations and systems are widelyimplemented into various courses. By the time students are in their senior year, they areintroduced to virtual learning environments, simulation-based projects and onlineassignments. Self-directed

Conference Session

Electrical and Computer Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Farrah Fayyaz, Concordia University

Paper ID #37378Work-in-Progress: Problems in learning related tomathematical and graphical representations of signalsFarrah Fayyaz Dr Farrah Fayyaz is a Lecturer in the Center for Engineering in Society in Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Canada. She got her PhD in Engineering Education from Purdue University. She holds Bachelors and Master degrees in Electrical Engineering from University of Engineering and Technology, Lahore, Pakistan. She has taught Electrical Engineering related courses for almost twenty years now. She is very passionate about teaching and

Conference Session

Electrical and Computer Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Chao Wang, Arizona State University

at thefreshmen/sophomore level. For all these developments, software programming on somemicrocontroller hardware is required to implement the IoT capability.Similar to IoT education, machine learning is also getting incorporated more and more intoundergraduate engineering curriculum. For example, machine learning concepts are integratedinto existing courses such as an introductory computer science programming class in [10] and adata structure course in [11]. In [12], a new deep learning course is developed for junior andsenior computer science students. In [13], computer science senior design teams are involved inmachine learning research. All of these efforts [10-13] and many others are geared towardscomputer science majors. To teach deep

Conference Session

Electrical and Computer Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ramakrishnan Sundaram, Gannon University; Benjamin Lubina, Gannon University

. Reinforcement learning models are applied in computer games [2]-[4], industrialautomation and robotics [5]-[7], traffic control systems [8]-[10], resources management systems[11]-[13], advertising [14]-[15]. Section 2 overviews the hardware and software requirements of the project. Section 3summarizes the project activities suitable for course and curriculum development. Section 4outlines the student and faculty-directed research possible with this project. Conclusions appear inSection 5.Section 2: Project Requirements Machine learning platforms for gaming applications typically require processor speeds inthe range of teraflops which can access memory in gigabits per second on buses with large bitwidth to deliver thousands of gigabits per

Conference Session

Computers in Education 3 - Modulus I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Brendan O'Handley, University of Notre Dame; Yuheng Wu; Chaoli Wang, University of Notre Dame

Paper ID #36509TreeVisual: Design and Evaluation of a Web-BasedVisualization Tool for Teaching and Learning TreeVisualizationBrendan O'Handley Software Engineer at Grafana Labs with a masters in computer science and engineering from the University of Notre Dame. I'm interested in data visualization, education analytics, dashboards and JavaScript.Yuheng WuChaoli Wang (Associate Professor) Dr. Chaoli Wang is a professor of computer science and engineering at the University of Notre Dame. He holds a Ph.D. degree in computer and information science from The Ohio State University. Dr. Wang's main research interest is

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shirley Qin, University of Toronto; Jiawei Tian, University of Toronto; Yuqi Yang; Qian Guo, University of Toronto; Junhao Liao, University of Toronto; Hamid S. Timorabadi, University of Toronto

Tagged Divisions

Computers in Education Division (COED)

Paper ID #38086Board 57: WIP - A Web-based Face Recognition Application for BetterIn-Person LearningShirley Qin, University of Toronto Shirley Qin is a fourth-year Computer Engineering student at the University of Toronto. Previously, she worked as a System Integrator in City of Toronto’s Infrastructure and Coordination Unit. She is interested in software programming and user interface design. She is proficient with C, C++, and JavaScript and familiar with Intel FPGA Verilog and ARM Assembly(v7).Jiawei Tian, University of Toronto Jiawei Tian is an undergraduate electrical and computer engineering student at the University

Conference Session

Computers in Education 5 - Modulus 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Yamuna Rajasekhar, zyBooks, A Wiley Brand; Chelsea Gordon, zyBooks, A Wiley Brand; Chi Yan Leung, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand

zyBooks titles. She formerly was an assistant professor of Electrical and Computer Engineering at Miami University. She received her M.S. and Ph.D. in Electrical and Computer Engineering from UNC Charlotte. © American Society for Engineering Education, 2022 Powered by www.slayte.com Analyzing the use of auto-graded labs with a built-in simulator to learn assembly programmingAbstractOur Computer Organization and Design (COD) online interactive textbook, adapted from aleading computer organization and systems title in 2015, introduced an embedded simulatorallowing students to practice assembly programming with MIPS, ARM, or RISC-V within

Conference Session

Computing & Information Technology Division Technical Session 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Tahir Khan; Emily Bonem; Hyun Jin Cho

Paper ID #38169Undergraduate Students' Motivation to Learn, Attitudes, andPerceptions of Assessments in a Cybersecurity CourseTahir Khan Dr. Tahir M. Khan is a Clinical Assistant Professor in the Department of Computer and Information Technology at the Purdue University in West Lafayette, Indiana. He is currently teaching and mentoring undergraduate and graduate students majoring in Cybersecurity. He has experience in developing and offering courses in the cybersecurity domain. His research interests include computer privacy, computer security, computer forensics, cybersecurity, the internet of things, cloud computing

Conference Session

Curricular Issues in Computer-Oriented Programs

Collection

2010 Annual Conference & Exposition

Authors

Ashley Banaszek, Missouri University of Science and Technology; Hong Sheng, Missouri University of Science and Technology; Richard Hall, Missouri University of Science and Technology; Ronaldo Luna, Missouri University of Science and Technology; Ghulam Bham, Missouri University of Science and Technology

Tagged Divisions

Information Systems

questionnaireitems. This analysis provided more detail regarding the perceived usefulness of the module.Combined analysis revealed a link between students’ perceived usefulness of the material andtheir motivation to learn. Analysis also supported the learning tool’s effectiveness and justifiedits further implementation and investigation.IntroductionA Geographic Information System is a computer application that allows data to by interpretedand visualized in many ways.1 This technology is being employed in the field of engineeringto better view and understand data collected by surveyors and satellites. Other industries,government, and education are using and exploring the applications of GIS as well. With thegrowing need for engineers that are knowledgeable

Conference Session

Curriculum Development in Computer Engineering Technology

Collection

2004 Annual Conference

Authors

Ming-Sung Koh; Mick Brzoska; William Loendorf

Session 1349 Implementing a Software Engineering Technology Program within the Context of Experienced-Based Learning William Loendorf, Mick Brzoska, Min-Sung Koh, and Esteban Rodriguez-Marek1 Eastern Washington University School of Computing and Engineering Sciences Department of Engineering Technology and Multimedia DesignAbstractThe Department of Engineering Technology and Multimedia Design (ETMD) within the Schoolof Computing and Engineering Sciences at Eastern Washington University (EWU) hasimplemented a new program in the emerging

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #43334Board #439: Work in Progress: Notebook: An AI-Based Personalized LearningResource ToolDr. Quintana (Quincy) Clark, Oregon State UniversityChidinma Grace OkoyeTheodore Ja ©American Society for Engineering Education, 2024 Work in Progress eNotebook: An AI-Based Personalized Learning Resource ToolAbstractOnline STEM learning environments present novel learning challenges and require self-regulationof learning. To self-regulate learning, students must develop notetaking study strategies. Yet 49%of online students don't take notes, and roughly 70% don't complete course readings

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Pulin Agrawal, Pennsylvania State University; Negein Immen, Pennsylvania State University; Angelina Krystal Valentin, Pennsylvania State University; Neha Sagi, Pennsylvania State University; Domenico Alford-Egizio, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Erie, the Behrend College.Dr. Pulin Agrawal, Pennsylvania State UniversityNegein Immen, Pennsylvania State UniversityAngelina Krystal Valentin, Pennsylvania State University I am currently a computer science major at Penn State Behrend.Neha Sagi, Pennsylvania State UniversityDomenico Alford-Egizio, Pennsylvania State University ©American Society for Engineering Education, 2024 Enhancing Lecture Material with Conceptual Videos: A Supplementary Learning ExperienceAbstract This research paper explores the use of conceptual videos to supplement a first-yearprogramming course, although our hypothesis can't be confirmed due to data issues, it alignswith other studies

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, Nigeria and the University of Cape Town, South Africa. Currently, His research focus is in the field of Computing and Engineering Education where he is involved with investigating team-based computational projects using qualitative, quantitative, and artificial intelligence-based tools. He is also involved with developing and redesigning a Team-Based transdisciplinary graduate course under the Purdue University EMBRIO Innovation Hub Grant project, where He has contributed by applying computational fluid dynamics methods in the development of partial differential equation (PDE) models to implement cell cytokinesis. His ongoing PhD research broadly investigates teamwork interactions and interdisciplinary learning in

Conference Session

Computers and Software in Teaching Mathmatics

Collection

2011 ASEE Annual Conference & Exposition

Authors

Lin Li, Prairie View A&M University; Yonggao Yang, Prairie View A&M University

Tagged Divisions

Mathematics

AC 2011-2537: ENHANCE ENGINEERING COLLEGE MATH TEACH-ING WITH GAMING AND VIRTUAL REALITY LEARNING MODULESLin Li, Prairie View A&M University Dr. Lin Li is an assistant professor in the Department of Computer Science at Prairie View A&M Uni- versity. He received his Ph.D. in Computer Science from the University of Nebraska-Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences, in 1996 and 1999, respectively. His research interests include Computer Networks, Educational Technology, and Web Applications and Information Management. His research has been supported by NSF, DOE, etc.Yonggao Yang, Prairie View A&M University Dr

Conference Session

The Computer, the Web, and the ChE

Collection

2002 Annual Conference

Authors

G.T. Lineberry; David Silverstein

the pre-engineeringand engineering distance course offerings.VI. Further DevelopmentAfter the initial deployment and assessment of the upgrade to an eITV system, addition of grouplearning capabilities will be added to selected sites on the state distance learning network. Thefirst step is placing networked computers at each student station, each outfitted with courseappropriate software along with access to suitable conferencing software. IBM/LotusLearningSpace9 appears especially suited to the intent of enabling in-class collaborativeactivities. Outside of class, Lotus9 Sametime or Microsoft8 MSN Messenger contain thefundamental communication tools required for groups of students to work on homework.VI. ConclusionsThe redesign of a distance

Conference Session

Multidisciplinary Engineering Division Technical Session - Machine Learning, IoT, Writing Center Peer Tutors, Conceptual Modeling

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mehrube Mehrubeoglu, Texas A&M University - Corpus Christi; Lifford McLauchlan, Texas A&M University - Kingsville; G. Beate Zimmer, Texas A&M University - Corpus Christi; David Hicks

has been an Associate Professor of Mathematics at Texas A&M University - Corpus Christi. She now works in machine learning, image analysis and environmental modeling and teaches a range of course including Calculus, Analysis and Numerical Methods. © American Society for Engineering Education, 2022 Powered by www.slayte.com Work-in-Progress: Developing an IoT-based Engaged Student Learning Environment and Tools for Engineering and Computer Science ProgramsAbstractThe COVID-19 pandemic forced education institutions everywhere to rapidly pivot to an onlineformat in which students must often work remotely. The rapid transition has been especiallychallenging for

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kelly S. Steelman, Michigan Technological University; Michelle E. Jarvie-Eggart, Michigan Technological University; Kay L. Tislar, Michigan Technological University; Charles Wallace, Michigan Technological University; Nathan D. Manser, Michigan Technological University; Briana C Bettin, Michigan Technological University; Leo C. Ureel II, Michigan Technological University

Tagged Divisions

Computers in Education

Paper ID #29988Work in Progress: Student Perception of Computer Programming WithinEngineering Education: An Investigation of Attitudes, Beliefs, andBehaviorsDr. Kelly S Steelman, Michigan Technological University Dr. Kelly Steelman is an Associate Professor in the Department of Cognitive and Learning Sciences and an Affiliated Associate Professor in the Department of Mechanical Engineering and Engineering Mechanics at Michigan Technological University.Dr. Michelle E Jarvie-Eggart P.E., Michigan Technological University Dr. Jarvie-Eggart is a registered professional engineer with over a decade of experience as an environ

Conference Session

First-Year Programs Division Technical Session 11: Program Descriptions and Learning Analytics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jasmine Batten, Florida International University; Alexandra Strong, Florida International University; Monique Ross, Florida International University; Elodie Billionniere, Miami Dade Community College; Myrian Herlle, Florida International University

Science in Computer Science with honors in 2019 from Florida International University. She is dedicated to improving women and minoritized students’ retention and persistence in computer science. Her research interests include exploring inclusive pedagogical practices, implicit theories of intelligence, disciplinary culture, and their effects on women’s and minoritized women’s persistence in computer science. She is passionate about improving diversity and equity in computer science by conducting research that promotes inclusive learning environments. Her goal is to complete her Ph. D. and become a computer science (education) faculty member to continue serving the computer science education community through

Conference Session

Innovative Pedagogical Techniques in Engineering Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alex M. Phan, University of California, San Diego; Jenna Metera, University of California, San Diego; Sonia Fereidooni, University of California, San Diego; Cham Yang, University of California, San Diego; Minju Kim, University of California, San Diego; Carolyn L. Sandoval, University of California, San Diego; Phuong Truong, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

Paper ID #41591WIP: A Novel Learning Log Application for Classifying Learning EventsUsing Bloom’s TaxonomyDr. Alex M. Phan, University of California, San Diego Dr. Alex Phan is the inaugural Executive Director for Student Success in the Jacobs School of Engineering at UC San Diego. Prior to his appointment, he has served as a project scientist, engineer, and lecturer, teaching across multiple divisions, including the Jacobs School of Engineering (Dept. of Electrical and Computer Engineering, Dept. of Mechanical and Aerospace Eng., Dean’s Office Unit) and UC San Diego Division of Extended Studies. His teaching interests and

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Michael M. Malschützky, Hochschule Bonn-Rhein-Sieg, Germany; Christine Kawa; Marco Winzker

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Management Engineer in the automotive industry, he returned to academia in 2013, receiving his B.Sc. in Business Psychology from H-BRS in 2017, and is currently pursuing his M.Sc. in Business Psychology at H-BRS.Christine KawaMarco Winzker ©American Society for Engineering Education, 2023 Computer-Supported Collaborative Learning in Higher Education: An Experimental Analysis of Small-Group Collaboration in Web-ConferencingAbstract: Computer-supported collaborative learning (CSCL) is a widely known and usedteaching and learning approach in higher education online and hybrid scenarios. When planningan online or hybrid session from a didactic point of view, in most cases only the maximumcapabilities of the planed

Conference Session

Women in Engineering Division (WIED) Technical Session 8

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rita Manco Powell, University of Pennsylvania; Henry Towsner, University of Pennsylvania; Brett Frankel, University of Pennsylvania

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

Paper ID #37331Impact of an Emerging Scholars/Peer-Led Team Learning Program on theRecruitment of Undergraduate Women and Underrepresented Minorities intoComputer Science and MathematicsDr. Rita Manco Powell, University of Pennsylvania Rita Manco Powell received her Ed.D. from the University of Pennsylvania in 2005. She has worked for over 20 years in Penn Engineering, first in the Department of Computer and Information Science and recently in the Office of Diversity, Equity and Inclusion, to develop programs and initiatives to recruit women and underrepresented minorities into computer science and to retain them. Powell was Co

Conference Session

First-Year Programs Division (FYP) - Technical Session 1: Course Design

Collection

2023 ASEE Annual Conference & Exposition

Authors

David H. Smith IV, University of Illinois at Urbana-Champaign; Ujjal K. Bhowmik, University of Illinois at Urbana-Champaign; Yuting W. Chen, University of Illinois Urbana-Champaign

Tagged Divisions

First-Year Programs Division (FYP)

- tion in computing. ©American Society for Engineering Education, 2023 Understanding the impacts of extra credit modules on student learning experience in a 100-level Electrical and Computer Engineering CourseAbstractThis Complete Evidence-based practice paper investigates students’ perceptions regarding thepresence of two extra credit (EC) modules on parallel computing topics in an introductoryelectrical and computer engineering course. Prior work investigating these EC modules showed ahigh participation rate (48-60%) across and high performance (80-88%) on the end-of-module ECquiz across three semesters [1]. The presence of extra credit has long been a topic of

Conference Session

Pre-College Engineering Education Division (PCEE) Technical Session 2: Let's Get Thinking Computationally

Collection

2023 ASEE Annual Conference & Exposition

Authors

Abeera P. Rehmat, Georgia Institute of Technology; Hoda Ehsan, The Hill School ; Monica E. Cardella, Florida International University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

International University Monica E. Cardella is the Director of the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University. She is also a Professor of Engineering and Computing Education in SUCCEED and FIU’s STEM Transformation Institute ©American Society for Engineering Education, 2023 K-2 Grade-Aged Children and their Parents' Experiences Engaging in Engineering andComputational Thinking Activities in Informal Learning Setting (Fundamental Research)AbstractThis research study explores children and their parents’ experiences engaging in engineering andcomputational thinking activities in an informal learning environment. The participants in thisstudy

Conference Session

Technical Session M1

Collection

2022 First-Year Engineering Experience

Authors

Jennifer I Clark, Montana State University - Bozeman; Bryce E. Hughes, Montana State University - Bozeman

Tagged Topics

Diversity, Works In Progress

Paper ID #36317Developing the next generation expert: What we learned fromunder-academically prepared students about academic self-efficacy inengineering and computingDr. Jennifer I Clark, Montana State University - Bozeman Jennifer Clark serves as the Student Success Coordinator for the Norm Asbjornson College of Engi- neering at Montana State University in Bozeman, Montana. Her research focuses on the retention of Freshman and Sophomore students in engineering and computing disciplines. As a scholarly practitioner, Jennifer considers factors involved in student persistence, building academic self-efficacy, re-defining