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 &
, 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
to have all its undergraduate engineering, computer science, and cybersecurity degrees to be accredited by ABET (Accreditation Board for Engineering andTechnology). Pursuant to this goal, a capstone project course was added to the updatedcurriculum of the BSCS degree. Even though the six Educational Student Outcomes (ESOs)prescribed by ABET [6] are addressed by the core courses in the curriculum, adding a capstoneproject course to the core curriculum brings together all the six ESOs in one course in a polishedand refined manner for students to see the relationship among all six ESOs. The capstonespecifically focuses on ESO #3 (communication skills), ESO #4 (legal and ethical principles), andESO #5 (teamwork). The foundational block in the
Corporate CS Math/Stat Capstone Project (Optional) Certifications Figure 1. Cyber Security Degree ArchitectureTo complement education with training, the degree also requires students to pass two industrycertifications before they graduate. The course number for each certification is CYBI-3101-xxwhere xx stands for the student’s choice of certification such as Net+, Linux+, Security+, etc. Apool of certifications was carefully studied and approved, and we are
landscape ofPeducation, summative assessments, often called labs, are assigned on a weekly basis to students. The goals of these assessments are often to reinforce and to evaluate mastery of the concepts taught in the course. Upon graduation, students are tasked with programming complex projects. A key aspect of a CS student's success in the real world is their ability to develop complex software in professional IDEs (integrated development environments). In this paper we describe a new and powerful labs environment that enables students to master their skills in software development through a cloud-based IDE with support for over 50 programming languages. This labs environment supports an auto-grader and
presents a significant issue for assessment. How is aneducator able to formatively identify student misconceptions precisely, accurately and quicklywhen the topic is so complex?The result is that a troublesome percentage of students fail the course or drop their engineeringmajor because of the class. For example, a study across 55 offerings of introductorythermodynamics over eight years and nine instructors at the University of Texas, San Antonio,reports that only 52.7% of course enrolments led to completion, with subsequent attempts havinglower rates than initial attempts [6].In this Work in Progress paper, we describe a project to develop a fine-grained assessment ofcore thermodynamic concepts embedded within an interactive simulation
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
specifically to him. Out of this ˜$12m, ˜$5.45M has been allocated to the University of Toledo. These projects have been funded by various agencies including the NSF (National Science Foundation), AFRL (Air Force Research Lab), NASA-JPL, Department of Energy, and the State of Ohio. He also played a critical role in the cultivation of a private gift to support the CSTAR lab for cyber security research. He has published more than 90 peer-reviewed journal, conference, and poster papers. He has also served as a reviewer for several high impact journals and as a member of the technical program committee for several reputed conferences.Xiaoli Yang ©American Society for Engineering Education, 2023
Michigan, Ann Arbor Andrew DeOrio is a teaching faculty member at the University of Michigan and a consultant for web and machine learning projects. His research interests are in engineering education and interdisciplinary computing. His teaching has been recognized with the Provost’s Teaching Innovation Prize, and he has twice been named Professor of the Year by the students in his department. Andrew is trying to visit every U.S. National Park. ©American Society for Engineering Education, 2023 Office Hours, Demographic Groups and COVID Heidi Huang*, Kevin Yan*, Andrew DeOrio Department of Electrical Engineering and
Virtual Learning Environment (VLE) 3) Build the VLEs 4) Collect Feedback and Modify VLEs( Test and Validate the VLE content) 5) Perform Learning Interactions and Assess Learning outcomes. Figure 1 c: The main phases in the creation of the VLEs and the assessment tasks (from [29]).The project team includes the instructor (or knowledge source), the software engineering team(who designs and builds the VLEs) and an educational assessment expert. In the first phase, theinstructor identifies the learning objectives specific to the students in the course. Subsequently, acollaborative team of experts, VLE designers, and education assessment specialists design anddevelop the VLE under the supervision of the instructor in phases 2, 3
discovered my passion for UX design and the importance of that field. I am software engineering, who loves exploring complex projects in search of delightful user experiences. I am currently a Ph.D. candidate at the University of Patras and my research interests are mainly focused on Human-Computer Interaction (HCI). ©American Society for Engineering Education, 2024 Unlocking the Secrets of Student Success in Low-Code Platforms: An In-Depth Comparative Analysis Mariza Tsakaleroua, Semira Maria Evangeloub, Michalis Xenosb a School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan b
. Allowing students theopportunity to gain confidence in their ability by quickly learning coding andapplying introductory programming concepts could help them to master theseconcepts more quickly and defer programming environment set up to a later date.Accelerating the learning of programming may help to offset future needs, asgrowth in software development jobs is projected to significantly outpace growthin instructional jobs in computer science. This study implemented two versions ofthe same course content in self-paced and instructor-led formats. The instructor-led format included the delivery of online lectures combined with examples andpractice exercises. This was considered a more traditional approach wherestudents were taught using slides
were able to use the software in the class room and were able to practice the Fallsimulations using the VR (Virtual Reality) headset/sunglass by their own. The PICO Neo-2 VRHeadset with Controller was used to visualize, direct, move etc. purposes inside the virtualworld. The Miracast Dongle wifi adapter was used as the software had projection capability fromclassroom computer using overhead projector to show the students in the classroom how thingswere inside the VR world for instruction purposes.4. Descriptions of the Overview of Learning and Training Sequences: The learning objectives from this software were: identify major Fall hazards, describe typesof Fall hazards, protect everyone from these Fall hazards, recognize employer
contrast, the Spring semesters see a more varied mix ofsophomore, junior, and senior students from both the Computer Science and Electrical andComputer Engineering majors. Student performance has been evaluated through variousassessments, each contributing to the final grade:- Reading assignments (20%)- Lab assignments (20%)- Project assignments (20%)- In-class exams (20% for in-semester, 20% for the final exam)Students utilize an interactive online textbook zybook [16] which contains many small programsand short formative reading assessments. Fourteen reading assignments are distributedthroughout the semester.Students attend mandatory 2-hour lab sessions each week, working on practical assignments inpairs under the
independence, increasing self-efficacy gains,and reinforcing a growth mindset [16]. By taking time to cover the general problem solving stagesin class, they reduced the amount of students stuck in the design process that didn’t know how toapproach solving a problem by 2.3%. Additionally, Loksa and Ko explored how self-regulationimpacts student success on programming projects [5]. In their think-alouds, they found that themajority of participants explicitly verbalized planning. Only two of their participants from a CS1course did not mention planning. They noted that the more participants mentioned planning andcomprehension monitoring, the fewer errors the participants tended to have, indicating that havingstudents focus more on planning stages of
Paper ID #41349Constructing Reconfigurable and Affordable Robotic Arm Platform to TeachRobotics and AutomationCarl Joseph Murzynski, Pennsylvania State University, Behrend College Carl Murzynski is an undergraduate student in Electrical Engineering at Pennsylvania State University, The Behrend College. He specializes in robotics and automation, actively contributing to research projects aimed at advancing these fields.Dr. Hussein - Abdeltawab, Wake Forest UniversityDr. Omar Ashour, Pennsylvania State University, Behrend College Dr. Omar Ashour is an Associate Professor of Industrial Engineering at Pennsylvania State University
smoothly for educators and students.This gap in the literature of considering student experiences when engaging with PPs is criticalas it highlights the features of PPs to be considered when developing and implementing theminto the classroom. As such, this project seeks to understand two primary objectives ofunderstanding the types of features in PPs that impact student experiences and secondly tounderstand the salience and/or prevalence of these student experiences to prioritize theoptimization of the activities by each of feature. Thus, the project works to answer the followingresearch questions: (1) What are the features of Parsons Problems that impact student’sexperiences when engaging with the activity? and (2) How can researchers and
(see Fig. 1a) and total enrollments (see Fig. 1b).Excluding the academic year (AY) 2020-2021 during the COVID-19 pandemic, AY 2022-2023highlights our largest enrollment with approximately 15,000 students from over 50 courses takingexams each semester in the CBTF. During Fall 2023, the CBTF also administered a recordnumber of exams, recording over 90,000 reservations. The ability to support the growing numberof students and courses utilizing the CBTF is made possible through operating three dedicatedtesting facilities that offer testing sessions ten hours each day, seven days a week. We project thatthe utilization of our labs will continue to grow as we bring a fourth testing facility online inSpring 2024 in partnership with the College of
well in the course. We foundthat over all students who spend more time do not do better in the course perhaps becausetheir time is not spent effectively. Yet, students who spend more time on practice examsperformed better in the class. This is especially true for students who come into the coursewith low expectation to do well. In future work, we plan to examine how we might turn thisinformation into an intervention.5 AcknowledgementsWe would like to acknowledge the Grainger College of Engineering Strategic InstructionalInitiatives (SIIP) program for the funding for this project. We would also like to thank ourSIIP Education Innovation Fellow, Ashlynn Stillwell, for her guidance and support.References[1] E.L. Deci and R.M. Ryan. 2012. Self
Engineering Education, 2024 Improving Efficiency and Consistency of Student Learning Assessments: A New Framework Using LaTeXAbstractInstructors often rely on What-You-See-Is-What-You-Get (WYSIWYG) word processorapplications like Microsoft Word to create student learning assessments such as homeworkassignments and exams. The shortcomings in this traditional method led to the authors’motivation to develop a better method. This project focuses on the development, usage,evaluation, and dissemination of a student learning assessment system based on LaTeX, adocument preparation system commonly used for scientific documents. We call it the StudentLearning Assessment Modular System (SLAMS). With this system, educators
prices.The cost, students tend to avail the pirated or obtain from the sites in an unprofessionalmanner. It is highly imperative for teachers to promote open educational resources and infusegood learning practices. To promote OER, the faculty members need to be aware of the same.Hence sensitization workshop was conducted through online lectures (pre-recorded) anddelivered to more than 7000 learners. To measure the learning outcome, a change project isprovided to study their effective utilization of OER.In this research paper, the observation was made from the questionnaire survey administeredto 1633 faculty members about their awareness and adoption pattern of open educationalresources. The study was carried out in two phases during the month of
Conference on Innovation and Technology in Computer Science Education., 2, 2021, pp. 633–634.[26] KARAT.com. “The Karat interview process.” https://karat.com/candidates/how-it-works/. (Retrieved August 18, 2022).[27] M. Lev-Ram. “Apple commits more than $50 million to diversity efforts.” http://fortune.com/2015/03/10/apple-50-milliondiversity/. (Retrieved August 18, 2022).[28] Bureau of Labor Statistics. “Occupational Employment Projections to 2022, Bureau of Labor Statistics Monthly Labor Review.” https://www.bls.gov/opub/mlr/2013/article/occupationalemployment projections-to- 2022.htm/. (Retrieved August 18, 2022).[29] A. Pears, S. Seidman, L. Malmi, L. Mannila, E. Adams, J. Bennedsen, M. Devlin, and J. Paterson. “A
, and VR were investigated to determine the correlations between these preferencesand academic outcomes in the courses. This exploration extends to understanding the impact ofvarious factors on student outcomes when engaged with different instructional modes.The research questions explored in this study are: 1. What are students’ instructional mode preferences? 2. How do these preferences relate to their academic performance in engineering modules such as statistics, material jetting, and Python programming?MethodsThis study is part of a larger NSF project exploring the impact of educational modules ondifferent populations (industry professionals and students) to gain knowledge that contributes toAdditive Manufacturing and Data Science
the needsof the user. Additionally, including comprehensive tutorials, guides, and instructional resourcesempowers educators, researchers, and enthusiasts to build, program, and use the robot in the mostappropriate way for their needs. Since the entire project follows the principles of open-sourcehardware, it fosters collaboration and knowledge sharing, thereby enabling a global community oflearners and innovators. Finally, there will be a discussion on how open-source robotics, combined with modularityand accessible educational materials, revolutionizes robotics education by providing acustomizable, hands-on learning experience to serve as a valuable resource for diversecommunities, fostering a passion for technology, and
projects can foster the inclusion of students with learning disabilities (Daniela and Lytras, 2019; Nanou and Karampatzakis, 2022). In the case of tertiary education, industrial-scale robots are used to prepare students for careers in industry by emphasizing aspects such as hardware, software, and human-machine interfaces (Nagai, 2001; Brell-Çokcan and Braumann, 2013). However, industrial-scale robots are expensive to purchase. In addition, there is usually some oversight over their usage due to time-sharing and to prevent damage, which prevents "free-play" by students. Some solutions to this include the use of miniature robots and the use of online labs (Mallik and Kapila, 2020; Stein and Lédeczi, 2021). Though these reduce the cost of the setups
many engineering andcomputer science. Video creation posed more work and time for both students and instructors;however, there are educational benefits of requiring students to review and explain their work: itprovides authentic engineering communication practice and seeds a habit of metacognition.Introduction and Related WorkEducators design pedagogical methods, activities to support student learning, and assessments ofstudent learning, while often considering the theoretical framing of how students learn. Whileengineering and computer science learning experiences include hands-on, practical experienceswith active learning exercises, laboratory work, experiments, projects, and internships, examsremain a primary tool for assessing students
Paper ID #37309The ”besTech” Technology Practice Framework for Early Childhood Educa-tionDr. Safia 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 workshopsJoshua Levi Weese, Kansas
Paper ID #42251Board 44: CampNav: A System for Inside Buildings and Campus NavigationMr. Jiping Li, University of Toronto Jiping Li is an ECE undergraduate at the University of Toronto.Zhiqiang Yin, University of TorontoDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2024 Work In Progress: CampNav: A
technical, relating to the stream content, technology in general, technicalemployment, or general encouragement and suggestions from viewers. Some streams had mixedsocial and technical interactions where streamers might go off-topic due to a chat message orbuilt-in social time.RQ2 Knowledge Transfer Knowledge transfer in streams occurs most generally through thethink-aloud nature of streamers who, at a high level, talk through what they are working on orplan to work on during stream. In most streams, a viewer may pose a question to the streamerseeking information about what they are working on or something entirely different, but stilltechnology related. In S3’s stream, a viewer asks why the streamer works on a particular project,S3 responds:7 “I
taking the input sentenceand determining what type of simple sentence it is or if it is invalid. Such a model can be avaluable tool for engineering education research studies. Some potential uses of this modelinclude assistance in writing research papers, as it will help the students write completesentences by aiming to write with specific types of sentences, such as declarative sentences.When students in group work must communicate through written form with each other whilesharing ideas or thoughts related to their project, they can use our model to receive help inwriting complete sentences to fully convey their thoughts. It will allow students to write specifictypes of sentences that will help better convey their thoughts and ideas to other