.114] were developed to measure systems thinking competencies in contexts beyond self-reported attitudesand behaviors. The problem scenario is a hypothetical vignette that asks students to consider multipledetails in an ill-structure problem context. The scenario provides information that possibly representsengineering and technical skills, economic feasibility, ethical considerations, and cultural sensitivity,which can be considered when studying potential solutions [21, p. 114]. "The Village of Abeesee has about 50,000 people. Its harsh winters and remote location make heating a living space very expensive. The rising price of fossil fuels has been reflected in the heating expenses of Abeesee residents. In fact, many
assessments are conducted at each course with CPS/IoT infusion. The outcomesand impacts of the course modules are monitored via student surveys as indirect measure andcourse assignment evaluations by instructor as direct measure. The student surveys reflect theiropinions on the course and their learning. Rubrics are developed for each course module onexercises and/or lab exercises, class projects, and independent projects to provide directmeasurements that quantify students’ achievements on the educational objectives presented inthe module outline. Each rubric includes the outcome indicators that align with some of the newABET students learning outcomes “1 through 7” and the levels of achievements for theexperience of CPS/IoT. For each instructional
them a desirable candidate for careeradvancement, or even help them pivot their careers entirely [7].Project management education has been shown to have a positive impact on engineeringstudents. It enhances their technical skills while fostering innovation, critical thinking, andteamwork. By undertaking innovative and practical projects, students can make a real-worldimpact and contribute to their field. Studies have shown that incorporating project-basedassignments positively impacts student learning, motivation, and performance both in the shortand long term [8]. By participating in a project-based learning model, students are able toconstruct their own knowledge and reflect upon their learning projects, resulting in increasedmotivation and
can make required changes to anexisting process to increase either efficiency or effectiveness. Proper measurement requires thatwe identify sufficient measurement points throughout our process, and, that these measurementpoints are reflective of how the process is running.Step #3 – The Assignment of PeopleOnce disciplines have been identified and defined, the final step is to allocate human resources tothe vertically identified disciplines/functions. To be optimal, this step must occur as the finalstep, after Step #1 and Step #2 above.Why is the allocation after step #1 and step #2 above important? The answer resides in thecultural implications of change. Change management is premised on the idea change happens allthe time and is no more
authors and do not necessarily reflect the views of the NationalScience Foundation. We would also like to thank the entire Dr. E’s Challenges team, for creatingsuch a rich dataset for us to analyze and learn from.Sources[1] S. Evripidou, K. Georgiou, L. Doitsidis, A. A. Amanatiadis, Z. Zinonos, and S. A. Chatzichristofis, “Educational Robotics: Platforms, Competitions and Expected Learning Outcomes,” IEEE access, vol. 8, pp. 219534–219562, 2020, doi: 10.1109/ACCESS.2020.3042555.[2] A. Takacs, G. Eigner, L. Kovacs, I. J. Rudas, and T. Haidegger, “Teacher’s Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education,” IEEE Robot. Autom. Mag., vol. 23, no. 2, pp. 30–39, doi: 10.1109
takeplace online in October or November of 2021. Instructors and students will complete anothersurvey, after instructors attend the workshop, and instructors will again complete a follow-upsurvey in the spring of 2022.AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] M. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, vol. 93, pp. 223-232, July, 2004, doi: 10.1002/j.2168-9830.2004.tb00809.x.[2
needed to equip students with the necessary skills that reflect their learning styles tomaximize students’ academic and professional successes.Engineering Technology StudentsThere are various reasons for students pursuing an engineering technology degree. Somestudents directly matriculate into engineering technology programs. Others are not accepted intotheir first-choice program and often selecting engineering technology as a major. Others maytransfer to engineering technology from other fields [7].The Gregorc Style Delineator's use provides a greater understanding of how students perceiveand organize their thoughts [7]. This instrument categorizes the reasoning into concrete random,abstract random, concrete sequential, and abstract sequential
, prior andafter engaging in the project-based learning activities. Therefore, further studies might include apre-test and written reflections from the students related to their recognition, interests andenjoyment, performance or competence in engineering design. In addition, we did not havesufficient data to assess students’ scientific understanding or engineering performances. Hence,we could not draw conclusions on whether the project-based learning approach in this studyimproved students scientific understanding and engineering skills.In conclusion, our results show that project-based learning has the potential of improvingstudents’ interest and performance in engineering. Specifically, we learned that students’ interestis highly correlated to
, discernable difference in design understanding orapplication between the cohorts that did and did not take the Intro to ME course. Thesesentiments are corroborated by the lack of statistical significance between the two cohortsmentioned previously.ConclusionCourses that provide early exposure to the design process will most likely remain ubiquitous inthe mechanical engineering curriculum of the United States. Although they consume a portionof any program’s resources, they tend to provide a relatively low-threat, high-impact firstexperience in engineering. These courses are often designed to be interactive, team-based, andapplied, which are all reflective of how engineers typically operate in professional practice.These types of courses may also
concern for the authors was how to continue to provide a meaningful design experienceto the students and the second one was how to complete the projects to meet sponsors’expectations. Based on the feedback from the students and sponsors, the authors successfullymanaged both concerns. Typically, the student teams perform fabrication, testing and validationin the machine shop. They were asked to perform more rigorous analysis than initially requiredand revised grading scheme reflects increased weight for analytical methods and validation.They were evaluated, still under a team setting, on how they managed to include additionalanalysis or more detailed design work, and verified their work presented as part of their criticaldesign review during the
services they need to succeed. As faculty,we need to be advocate and champion for talented students who have been impacted bycatastrophic event if we want to retain and graduate them to become successful STEMprofessionals.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantsNo. 1354156 (Nanotechnology Center); 1833989 (EECOS); 1833869 (PEARLS); 1832468 and1832427 (RISE-UP). Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation. The authors are greatly thankful to the advisory board members andevaluators for their valuable input and feedback. We are also greatly
increased byexperiences, there were two participants who had experienced a decrease in confidence, or whosaw that in others. The decreases in confidence were only reported by direct pathway students.One direct pathway student reported that an internship had impacted “the level of confidencewith which I proclaim results,” but in a way that reflected less confidence instead of more. Hereported having given specific numerical results as “a figure of speech”, and after beingchallenged on that in the workplace, changed his approach. As he stated, I throw a lot of disclaimers before I give specific numbers now because unless you have data to back it up, people will latch onto the numbers and then when it comes back and it’s only a 40
the use of student evaluations ofteaching in peer review and tenure and promotion processes. Given the abrupt switch to onlineeducation in spring 2020, as well as continued virtual delivery of most classes in the 2020-2021academic year, task force members were concerned that traditional course evaluation metrics andstudent feedback would reflect student dissatisfaction with online education, rather thansummative feedback as to teaching quality. This concern was compounded by the known bias instudent evaluations of teaching, where female faculty, faculty of color, and those from othermarginalized groups are disadvantaged [8], [21]. For both spring 2020 and the full 2020-2021academic year, student course feedback is to be included in future
coursewas 98%.The TTI survey was administered again in the junior year in the context of the ProfessionalPractice of Engineering course, which is a required lecture-based course that students take aftercompletion of a minimum of one co-op semester. The survey was required and was used in asignificant assignment in which students reflect on their strengths and weaknesses and on how toleverage the former and mitigate the latter. The survey participation for junior students whocompleted the course was 100%.The TTI survey was also administered to ninety-three (93) graduate students in a professionalmasters program in product development, which draws early career engineering professionals.This group is considered to be successful in their careers as
respected by theirmembers. The U.S. score is below average, represented by a degree of acceptance of new ideasand trying new things. This can also be reflected in the good perception that innovation andcreating new products have [16].Finally, in terms of masculinity, the dimension that explains how much a society is driven bycompetition, achievement, and success, Ecuador and the U.S. have very similar rankings in themiddle of the spectrum. The countries can be considered highly success-oriented and drivensocieties, competitive, and status-oriented [16]. While these two countries rank similarly, thecompetitive drive differs according to their cultural dimension of Individualism. For example,Ecuador is a highly collectivistic country, so competition
4 5 am comfortable documenting my biases, assumptions, and predictions.2 As I work on a project, I 1 2 3 4 5 actively reflect on my biases, assumptions, and predictions.3 I am comfortable generating 1 2 3 4 5 potential solutions to a problem.4 In design, I know how to 1 2 3 4 5 generate multiple alternative solutions.5 I know how to develop a plan 1 2 3 4 5 of action that outlines next steps and possible challenges.6 I know how to create a prototype. 1 2 3 4 57 I know how to communicate 1 2 3 4
reuse. These lessons can guide professionaldevelopments for not only K-12 teachers, but also for engineering educators in cybersecurity andcomputer science.Funding:This work was supported by the Wyoming Department of Education (WDE) and theNational Science Foundation (NSF) through the CS for All: RPP - Booting Up ComputerScience in Wyoming (WySLICE Award #1923542) and Sustaining Wyoming’s AdvancingReach in Mathematics and Science (SWARMS Award #1339853). Any opinions, findings, andconclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF.ASEE 2021 ReferencesAbramovich, S. (2016). Understanding digital badges in higher education
and students. 3In this first experience, we and the teacher coordinated several lessons in which we used freesoftware to introduce the science of waves. After this introduction, students developed a projectin which they created sound installations and reflected on how their installations vibrated andgenerated sound [2].We used free sound editor Audacity [11] for students to visualize waveforms (as anoscilloscope), create pure tones (as a signal generator), and create sound compositions. For aspectrogram, we used free software UltimaSound (See Figure 1). Using and installing thesoftware on the school’s computers was possible because we were
material for Industry 4.0 qualifications so students can appreciate the marketabilityof the new degree in RET. Furthermore, the creation of stackable micro-credits, certificates andworkshops is aimed to enable non-traditional students and professionals to select content mostrelevant to their needs. Experiential learning will be incorporated in the educational activities bydeveloping the hand-on lab experiences in a design iterative approach that creates opportunitiesto reflect on the outcomes and results of an experiment, and then requires the synthesis of a newor evolved approach.Furthermore, the development of the RET curriculum will strengthen and improve the quality ofengineering technology education for undergraduate students by creating
sloping downward away from theridges without forming a bowl shape (Figure 4). Once the landscape is created, students areasked questions regarding the contour lines shown in the sandbox, reflecting on what the spacingof contours reveals about slopes. Students then use their hands to create shadows over thesandbox, which simulates rain and subsequent overland flow on the sand, which is observedrelative to the sandbox slope as well as the defined ridgeline. With the simulated water flowingin opposite directions away from the ridgeline, students visualize the concept of a watershedboundary. A discussion on the timing of water moving through the landscape ensues, withstudents asked to comment on what characteristics impact how long it takes water to
education must continue. Our work adds to the conversation by providing directevidence of school, district, and state administrators’ perspectives. We will continue to engage inmultiple reflections and discussions with administrators across the nation in the coming years asthe e4usa scales up to create district-level partnerships. The study has implications for how schooland district partnerships may be developed to allow for reciprocal support as pre-collegeengineering education continues to grow.AcknowledgementsThis material is based upon work primarily supported by the National Science Foundation (NSF)under NSF Award Number EEC-1849430. Any opinions, findings and conclusions, orrecommendations expressed in this material are those of the author(s
barriers to student success in highereducation. The goal is to provide participants with opportunities to critically examine theintersections of their strengths with their social/cultural identities to support students as theytransfer from community college to a highly selective predominantly white institution. Ultimately, though the data currently reflects a small number of transfer studentparticipants, our plan is to gather more information over the course of the next academic year toquantify how and how many transfer students participate in extra- and co-curricular activities.Ultimately, we intend to describe the impact participation has on their sense of belonging and thedevelopment of their engineering and computer science identity, and
(reflective of the overall idea of its contents) isapplied to a unit of data–– were used to analyze her responses. (Example of Holistic Codeapplied to represent data excerpts from student interview can be found in Appendix F.) Belowwe describe ideas and observations derived from Jamie’s interview which may relate to thequantitative findings.Idea 1: The student faced challenges during the programming portion of the intervention.Jamie discussed some of her experiences programming, stating: That if one tiny little thing is wrong, your whole entire problem could be wrong…I was using different variables because I thought I didn't have that variable [made]. So then I'd have two different variables and then something wouldn't work for
. 81.0% 86.2%The instructor communicated the course material clearly. 67.8% 69.7%The instructor engaged students by encouraging participation 75.9% 73.7%during classThe instructor engaged students by encouraging course preparation, 86.2% 88.8%reflection or other activities outside of class.The instructor displayed a personal interest in students and their 78.8% 81.2%learning.The instructor used technology appropriately 86.1% 85.4%Taking
have proven to be especially beneficial intechnical fields, such as engineering. Interactive tools assist students in learning fundamentalconcepts using hands-on experience. This experience can help students visualize how theseconcepts are applied to real world challenges. One of the primary benefits of interactive tools isthat they provide instant feedback to the user. In engineering, these tools can be used toencourage students to problem solve, experiment, realize, and reflect on difficult concepts. Suchan experience enables students to apply their conceptual knowledge to real world difficulties on asmaller scale. This application can help them understand how variables, seen in calculation, caninfluence a problem. This experience also
skills,knowledge, and attitudes of a faculty can be a roadblock to training and determining facultyreadiness [13]. Teaching behaviors by faculty that reflect knowledge, skills, and attitudes must beidentified prior to a faculty training program, and training content must be developed to meet theirneeds at the appropriate level [14].Instructor and Learner’s InteractionBolliger & Halupa [15] stated the need to place a high value on communication between theinstructor and students, and the instructor’s timely responsiveness. Interaction facilitates dialogueand promotes active and collaborative learning. Unlike synchronous or face-to-facecommunication, online courses may lack interaction due to the physical separation of students andinstructor
practices in remote and online teaching. We then describe our institutionalteaching model, which is built upon best practices in traditional classroom instruction. Next, wecompare and contrast these models of instruction as we describe how we adapted our workshop,based on traditional classroom instruction, for remote instruction. We close with feedback fromparticipants on the effectiveness of the workshop.Much like moving classes online, moving the workshop online was a challenge, but it wasrewarding. It opened our eyes to new ways of doing things and allowed us to reflect on teachingmore broadly rather than the specific techniques we have honed in the classroom. There are somechanges we will happily abandon when we can meet in person — such as
moreclosely with industry partners in order to meet their workforce expectations and develop curriculathat align with the workforce of tomorrow based on cloud computing job roles.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1801024. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] S. Fayer, A. Lacey and W. Watson, A. “BLS spotlight on statistics: STEM occupations- past, present, and future,” U.S. Department of Labor, Bureau of Labor Statistic, 2017. [Online]. Available: https://www.bls.gov/spotlight/2017/science-technology
exam format.However, more students shifted and disagreed that the exam was structured to reflect theirknowledge of the content. Figure 6: Spring 2020 Pre and Post-Grading Survey FeedbackIn addition to the Likert scale responses to assessment items, students were also given theopportunity to provide qualitative feedback to explain their responses. Overall, the commentswere very positive. The least favorable and most favorable/valuable comments are reportedbelow:Least favorable comments:• I am nervous to see my grade on exam 3 because it is different.• The practice exam made it harder because those types of questions could not be used.Most favorable/valuable comments:• Can’t really mess up a rubric.• Without the rubric, I
into being when people select and activate it by taking appropriate action) and created(i.e., the environment in which people create the nature of their situations to serve their purposes)[22]. While research has yet to examine the impact of these types of educational environments canhave on student learning, empirical studies have corroborated that students tend to adjust theirlearning strategies on the basis of their perceptions of their learning environments [11, 31]. Placing these elements together, Figure 1 illustrates the general conceptual framework for thisstudy. Engineering students enter an online learning environment with their self-directed learningcapabilities, which are mainly reflected in their motivation for learning and