. More than 20 instructors were involvedincluding UBCO faculty, postgraduate students, technicians, staff and one physics teacher fromKSS. The course was originally planned to be delivered in-person in KSS as follows: • UBCO faculty and postgraduate students teach their preferred modules, with the postgraduate students mainly assisting with hands-on or lab activities. • UBCO technicians are responsible for safety workshop, machine shop demos, and setting up labs conducted at UBCO. • UBCO staff hold the admission and scholarship session and provides support on coordination if needed. • KSS physics teacher develops and conducts the assessments during the flex classes. He is also responsible for coordination
understanding of what is required byeducators to successfully plan, design, implement, and realize the students’ learning process inan ICT-assisted, multi-campus course. Learning activities provide interaction, communityparticipation, collaboration, and communication for stakeholders during training to promotepedagogical, technological, and organizational learning of key themes in course.As implemented, the curriculum includes both self-paced asynchronous and synchronouscomponents and is intended to be offered in conjunction with a learning management system(LMS). A complete course has been developed from the curriculum herein discussed with initialdelivery in 2022. Immediate, measurable improvements to the design and delivery of multi-campus courses
).Out of the 12 respondents, 8 had been involved in CEL projects in their student groups and 4indicated they had not been involved in CEL. There was overlap between targeted student groupswith participants from one student group indicating involvement in CEL, while others from thesame student group indicating no involvement in CEL. One likely explanation for this is that subteams within each group may engage or not engage in CEL. Further analysis is broken down intoresponses from students involved in CEL and not involved in CEL.Respondents who had indicated they were involved in CEL in their student groups indicated theirinvolvement in several activities in CEL including mentorship (5), event planning (4), technicaldesign projects (2), workshop
has been teaching. Her re- search domain is Sustainable Urban Infrastructure Planning using Remote Sensing, GIS, Modeling, and Observation techniquesDr. Laura E Sullivan-Green, San Jose State University Dr. Laura Sullivan-Green is a Professor and Department Chair in the Civil and Environmental Engineering Department at San Jos´e State University. She obtained her BS from the University of Dayton (Dayton, OH) in 2002 and her MS (2005) and PhD (2008) from Northwestern University (Evanston, IL). She teaches in the areas of Geotechnical Engineering, Engineering Mechanics, and Forensic Engineering. Her research interests include forensic engineering education, STEM education pedagogy, and incorporating general
collaborative and inclusive environment, establish goals, plan tasks, and meet objectives6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.Brief background of the senior design sequence The engineering capstone course sequence has evolved over more than three decades.Initially, electrical engineering was SPU’s only engineering major with a capstone project. Itfocused on team design projects but did not include close teaming guidance or connections withindustry professionals. The presentations and documentation requirements mid-project were lessformal
the kits (only photo diagrams of the proper configurations were provided). Onestudent suggested; “Some more in-depth questions (the TA was very good about prodding ourgroup to continue to think about the problem) could be included at the end to help withunderstanding beyond the base level.” Overall, the trend of student feedback providesencouraging justification to continue development of this activity and the accompanying hands-on components. In the future, we plan to investigate the students’ cognitive gain regarding rigidbody kinematics through pre and post activity assessments.AcknowledgmentsThis work was funded in part by the California Governor’s Office of Planning and Research aspart of the Learning Lab (https://calearninglab.org
barriers to graduating and extend the time to graduate for transferstudents. To support transfer students, 2- and 4- year universities need to establish articulationagreements that guarantee credits will transfer toward required coursework within the major. Forexample, the state of California has well-defined agreements between community colleges and theCalifornia State University system (CSU) as well as the University of California system (UC) [5].Students can build their transfer plan of study on the ASSIST.org platform based on the existingagreements by defining their 2-year college and the major they would like to transfer to in the 4year university[5]. Other aspects that facilitate the transfer process are the possibility of
solutions and quantitatively rank them against the requirements. 4. Develop the selected design concept into a preliminary design typically including CAD models and a system performance model; this step often involves lower-level trade studies. 5. Develop a detailed design ready for prototype manufacturing; formal engineering drawings document the design, and detailed analyses show compliance to requirements. 6. Validate the design through prototype testing carefully planned to confirm that the design meets the specified requirements and solves the defined problem.Capstone students struggle with each of these steps because they lack experience with theprocess. They resist documenting a clear problem statement as they assume everyone
acceptance process based on skills important to research, de-emphasizing or eliminating aspects like GPA, experience, or reference letters that may have a disproportionate impact on some groups of students. 3. Support students by providing summer research skill courses, training their mentors, and providing cross-cohort social/learning opportunities.In this paper, we will focus on the evaluation of program aspects outside of the two summercourses.ContextInstitutionAt our large, research-intensive institution, undergraduate research experiences were prioritizedas part of the latest overall institutional strategic plan [11]. In concert with this strategic plan, afund was created by the Office of the Vice President Academic and
Amazon offices around the world, along with techworkers from other companies in the worlds’ first “cross-tech” walk out tried to encourage thecompany to take a stronger leadership role in combating climate change. The day before thewalkout, Bezos announced plans—the company’s “Climate Pledge,” to convert to renewableenergy by 2030 and to be carbon neutral by 2024. The activists applauded this gesture, butclaimed that it was not enough, and that the company needed a more urgent and intensiveresponse. Additionally, the Climate Pledge was perhaps intended to assuage customers that thecompany is in fact making changes (Peltz, J, 2019).This protest apparently (according to employees) led to Amazon enforcing a strictercommunications policy for its
the bottom-up, student-centric process usedfor updating the CE/ENVE PEOs, the stakeholders involved, and the students’ key contributionsto the process. A comparison between the revitalized PEOs and the original PEOs are presented.The focus of the work encompasses the challenges encountered during this experience and thelessons learned. Finally, this paper outlines the CE/ENVE Department’s plan to integrate thenew PEOs into the curriculum, including specific examples of implementation of the PEOs intoselected courses and development of appropriate metrics for student outcomes. This update ofthe PEOs is a critical step towards re-shaping the CE/ENVE curriculum to educate the studentsabout social justice and its strong connection to engineering
initial videoand written analysis and plans for the subsequent think-aloud interviews, all focused on thespecific attributes of the models that students use to make sense of course concepts. The ultimategoal of this work is to develop some general guidelines for the design of manipulatives tosupport student learning in a variety of STEM topics.IntroductionIn engineering statics courses, students learn foundational concepts such as vectors, forces,moments, and free-body diagrams. These interrelated concepts can be applied in a broad range ofreal-world contexts. Drawing free-body diagrams in particular is a fundamental statics skill thatstudents often approach in a procedural way, leading to strategies that focus on memorizingsupport reaction
engineering. IEEETransactions on Aerospace and Electronic Systems, AES-20(4), 306–310.[2] Rodrigues Y. R., Eberle W., . Metcalfe M. S, and Souza A. C. Z. (2015), "Impact of appliancesharmonic content in microgrid environments," IEEE PES Innovative Smart Grid TechnologiesLatin America, 701–705.[3] Miklosik A., and Evans N. (2020), "Impact of Big Data and Machine Learning on DigitalTransformation in Marketing: A Literature Review," IEEE Access, (8), 101284–101292.[4] Ribeiro, P., Polinder, H., & Verkerk, M. (2012). Planning and designing smart grids:Philosophical considerations. IEEE Technology and Society Magazine, 31(3), 34–43.[5] Rodrigues Y. R., Souza M. F. Z., and Souza A. C. Z. (2016), "Considerations on islandedmicrogrid frequency control
andthe kind of speech that occurred when they participated. Further, the data can also be scrutinizedat different units of analysis, including sequences of discourse and student exchanges to betterunderstand how particular patterns might emerge and how ideas and conversations might evolve.The following sections outline some of these analytic plans and approaches in more detail andoffers some recommendations for future research in this area.As part of the present research project, we will use this codebook in two primary ways. First,applying this codebook allows researchers to count the number and percentage of different kindsof utterances within a brainstorming session. This kind of descriptive analysis can give educatorsand design teams
some applications, the use of motion platforms [4], [5]further amplifies the realism of the virtual environment. Along with the development offunctionality and realism, VR has seen a continuous rise in its affordability and a mushroomingsoftware and hardware industry [6], [7].The expansion of VR applications to education was but obvious. This aspect is recognized byparents. In a study in 2017 [8], of over 12,000 parents, 64% of them who did not own a VRdevice were of the opinion that VR will provide educational experiences, as compared to 84% ofthe parents who owned a VR device. According to a 2018 survey [9], 28% of a sample of 350university respondents had deployed VR to some extent and 53% had plans to do so. A review ofliterature [10
assignment during asecond-year rigid body dynamics course. A second survey, distributed after the assignment wascompleted, asked students (both those who submitted problems and those who didn't) toself-evaluate their understanding, and ask whether or not they plan to incorporate problemcreation into their regular studying habits (and why or why not).Then, a third separate survey was sent out to 13 current and previous members of our openeducational resource (OER) mechanics homework problem project (which we will designate as“OER students”). This project is an ongoing 2-year project where students create ~50-100problems each per work term. We wanted to evaluate whether creating their own problemsimproved their understanding of dynamics and/or statics