standard deviation and the number of participants for each semester. The Likert-scale used in the surveyconcepts across various ranged from "Excellent" (5) to "Poor" (1), enabling participants to rateinstructional delivery formats. The their perceptions regarding the effectiveness of the take-home kits ormodules' effectiveness is widely desk-scale modules in aiding their understanding of theoretical concepts underlying physicochemical phenomena and unit operations.acknowledged among students,reflected in small standarddeviations. Emphasizing the importance of face-to-face components in blended learning, thesemodules received high
to improve student teamwork experience and academic performance in circuits analysis course Proceedings of the 129th American Society for Engineering Education (ASEE) Annual Conference and Exposition, 2022 https://peer.asee.org/40873[34] *S. Claussen, V. Dave. “Reflection and metacognition in an introductory circuits course,” Proceedings of the 124th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Columbus, Ohio, 2017. https://peer.asee.org/28788[35] *B. H. Ferri, D. M. Majerich, N. V. Parrish, A. A. Ferri. “Use of a MOOC platform to blend a linear circuits course for non-majors,” Proceedings of the 121st American Society for Engineering Education (ASEE) Annual Conference and
results from the preceding analysis,including further interpretation of the results, and propose some possible explanations.Beginning with demographic variables, Asian students reported stronger beliefs in the value ofcollaborative learning compared to white students. This may reflect cultural differences inlearning styles, or the value placed on group harmony and collective effort. Additionally,Mechanical Engineering (ME) and Industrial Engineering (IE) students showed lowercollaborative learning beliefs compared to their counterparts in Electrical and ComputerEngineering (ECE). These findings suggest that there may be disciplinary differences in thevalue and integration of collaborative learning in different degree programs.Turning to other
gender choice of “Other”was excluded due to the limited number of degrees awarded, reported only for 2019. Our“Native” category reflects combining the racial reporting options of “American Indian/AlaskaNative” and “Native Hawaiian/Other Pacific Islander.” Similarly, our “Multi” category reflectscombining “Foreign,” “Multiracial,” and “Unknown.” Other racial categories are used asreported by ASEE (e.g., “Asian,” “Black,” “Hispanic,” and “White”). Procedurally, the data was first downloaded into a CSV file. A self-generated Jupyter filewas created to clean the data and create the tidy format [21] XLSX files needed by Tableau forcreating the infographics [11]. Once the charts were styled with shapes, colors, and categorieschosen for visual
-learning systems [21]. To assess students’learning styles, this study used the Visual, Aural, Read/Write, or Kinesthetic (VARK) learningstyles inventory which is a questionnaire consists of 16 items used to assess the respondent’slearning style [21]. The study also used the Dixion scale to measure students’ engagement usingthe adaptive or non-adaptive e-learning system; this scale includes the factors of skills,participation/interaction, performance, and emotion [21]. This study found that students wholearned through the adaptive system learned more, reflected by their engagement scale responsesand overall course outcomes. While this study does not model the relationship between students’learning styles and intentions to use, has a small sample
incorporated into the class to help students toaddress these questions. The lab experimentation provided students with a hands-on opportunity to assess the biological impact of various biomaterials. Through thisexperiment, students gained practical skills in experimental design, data analysis,and interpretation, fostering a deeper understanding of biomaterials beyondtheoretical concepts. The inclusion of ethical considerations in the biomaterialcurriculum was addressed through a debate. This encouraged students to reflect onthe societal implications of biomaterials research, fostering a sense of responsibilityand ethical awareness among future practitioners.The study employed both qualitative and quantitative assessment methods,including pre- and post
self-advocacy processes. A brief reflective assignment that asks allstudents to consider personal assets and challenges that they are facing in their collegiatejourneys might be beneficial. The FYED course already introduces students to social styles, andthis information is often used in teaming. The instructional team could consider whether thisexercise could be modified to introduce other diversity characteristics and specifically addressneurodivergence and potentially mental health issues. The faculty development series forinstructors could also introduce topics related to ND and encourage faculty to integrate UDLprinciples.AppendixSurvey items to measure teamwork experiences during the semester (response options): Rate your experience on
disciplines.This collaborative approach reflects the team's dedication to merging diverse skill sets for thesuccessful realization of their electric vehicle project. As students mentioned, “Our team iscomposed of students from various departments across HKU, each contributing their expertise tothe project. We have ME students dedicated to the mechanical design of our race car, EEstudents focused on the electrical aspects, and CS and EE students working on the controlsystem. Additionally, our team also includes Medical and Engineering students who form ourSim Racing Team, while Art, Science, and Business students handle sponsorship and publicrelation matters.”Recognizing the fact that fabricating a fully functional racing car is beyond the scope and
specific skills and experiences that can inspire them andopen doors to various career paths. In engineering programs, research is an excellent way ofproviding project-based learning opportunities to students while working toward meaningfulgoals that have the potential to change society for the better.In this paper, we describe the efforts of a team of undergraduate mechanical engineering studentsin creating and demonstrating an experimental silicone venous valve model and flow controlsystem for use in future scientific research aimed at ultimately reducing the impact of awidespread but often unseen disease. We describe the experimental test systems and reflect onstudent learning from this project. In order to understand on a basic level the need
explicitly emphasized in any of the approaches discussed above, yet it hasbeen argued they remain essential for fostering a successful semiconductor manufacturingenvironment [23]. How the approaches are embedded in the respective cultures, be it learningculture or a general one, for example, is an important element to examine whether thesemiconductor workforce preparation could succeed or not.Finally, this study should prompt a more in-depth reflection on the definition of the “talentshortage” in the semiconductor industry, and how HEIs policy follows and responds. Do theprograms discussed above solely seek to train high-level engineers, or does it encompass abroader spectrum, such as engineering technicians? If the latter is the case, how can we
a get out clause, then they'll use it, right? So they say, oh, no, [we have] nothing to do with those [graduate students]. That's those guys. Then I say, yeah, that is true. And… then you can't use faculty resources, right? Because… we don't have a lot of resources anyway.” (Professor 9, Donnybrook)This sentiment is reflected in other studies that note it is often unclear what departments areresponsible for specific aspects of graduate student services within universities [16, 17].Recommendations and ConclusionsThere were a number of recommendations that arose from the opinions offered by faculty andstudents during their interviews. In terms of addressing the admission processes, while fourprofessors mentioned that they
solution for everything in our field. The instructormust reflect on whether all course assignments should be turned into games, or if there can bealternatives that could be considered instead.Design Weaknesses:First, building these games requires a substantial amount of effort. Attempting to figure out howbest to convey a topic in a novel manner is a very difficult task when you have never doneanything like this before. Making sure each game is unique and also does not detract from thelesson is a difficult balancing act. In addition, many classes are limited in the amount of time thatcan be spent on instructing how best to play the game at the expense of the time that can beallotted to playing said games.In addition, games have a habit of “running
VL helped me to understand concepts from my previous courses. Q29 This VL affirmed concepts from my previous classes. Q30 This VL helped me make the connections between previous course concepts. IEO The VL motivated me to want to seek more knowledge about this subject Model + Q31 outside of class. Q32 I was able to interpret the data from the lab using only resources provided in the class. Usefulness of the virtual lab for future career Q33 I do not think that the real life of an engineer was reflected in this VL. Q34 The virtual Lab was a good learning experience
, play a crucial role ineducating and training engineers in the southeastern region [50], [51]. The state's commitment toengineering education is reflected in the development of pre-college engineering curricula, theestablishment of specialized engineering facilities, and the implementation of programs aimed atbridging technical skills gaps between high school students and local employers [52]. Florida'suniversities, designated as R1 or R2 in Figure 1, exhibit varying degrees of research intensity.These universities typically have robust research programs across various engineering disciplines,such as materials science, power systems, and micro aerial vehicle aerodynamics [53], [54].2.5. Benchmarking Student Success for Institutional
partially focused ontesting or proving that all three domains are connected in the overall learning process -- they areconnected [17]. It found all the domains to be correlated when evaluating students’ learning,meaning more research should be conducted on how to better connect all three domains in a classstructure for deeper understanding, the rest of their findings predominately relate to the affectiveand psychomotor domain [17]. This idea is directly echoed in another report finding that all threedomains need to be intentionally integrated into a class for more effective learning [10]. This ideathat the domains are connected is reflected in the fact that many studies focus on two domains ata time instead of only one domain at a time [4-5], [10