in design orentrepreneurship fields. Specifically, it provides a means to help both novice and expertdesigners and entrepreneurs organize, communicate, refine, and reflect on their ideas. Thecanvas also provides a means of design-thinking documentation in which comparisons betweeninitial, mid, and final versions of the canvas could be used to assess student learning.The prototype version of the innovation canvas is shown in Figure 2 below and is availableonline for educators and practitioners to test, evaluate, and provide feedback36. In addition to thedetails presented in the remainder of this paper, a brief description of the canvas’s themes can befound in the appendix of this paper. The canvas is shared under a Creative Commons (CC
emphasis on increasing the proportion of engineering majors, theToys’n MORE project seeks to increase the number of students in STEM majors at thePennsylvania State University by as much as 10 percent. Please note that any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation.This project is being conducted by the College of Engineering at Penn State through an NSF-sponsored Science, Technology, Engineering, and Mathematics Talent Expansion Program grant(STEP grant, DUE #0756992). The project involves the College of Engineering and 13 regionalcampuses in the Penn State system. These campuses offer 2-year degrees, 4-year
pedagogical changes made throughout the study and facilitatedsharing of feedback to make course improvements. Qualitative data were collected through aseries of open-ended surveys and focus groups to determine the effectiveness of the instructionalmethods. Data were collected after each semester, and results were disseminated to the team toguide course modifications for the next semester.Qualitative research, known for its flexibility in theoretical frameworks and methodologies,emphasizes the importance of context, researcher/participant engagement, perceptions ofparticipants, inductive data analysis, and reflection by researchers and participants.13 Quality ofresearch findings in qualitative research is established through the “high standards of
compare to topics in same sections Using puzzles to solve math problems; Self-explanatory or useless tipsActivity: Explain what is wrong with speed limit signs:From the user’s point of view: What’s wrong with speed limit sign/driving/enforcement (forexample, we don’t feel “guilty” by driving above it). Suggest ideas to solve the problem.Students’ responses:Right: Max speed limit required by law Higher speed limits in Highways Safe way not to get a speeding ticket People can agree that the octagonal shape of a stop sign is an unmistakable symbol Reflective properties of signs and reflectors make it easier to drive during the nightWrong: People do not follow the speed limit Speed limit signs are
activelyinvolved in the learning process (based on the results of each survey feedback), which is inagreement with its decision to register in the course. The students feel very comfortable learningat its own pace but not so much deciding in what order to learn. It is very plausible that, whilethe course materials and virtual lab are available at any time, the sequential presentation of someof the scientific content of the modules limit in what order the modules could be completed. Thetasks to complete each module are clearly stated and the perceived interactivity of the course andexperiments reflects that the choices that students make are meaningful and not just not for thesake of making choices. However, in general, the responses amongst the surveyed
amount of change (AE #3, AE #6) deal with the perceptions ofthe students own discipline as collaborative and their understanding of the integrateddesign process. The small percentage difference does not necessarily reflect a lowlevel of comprehension of that particular question, but that it started with a high overalllevel of understanding.The questions that showed medium to high levels of change more directly addressdesign issues and performance metrics about daylight and energy. These questionsreveal whether or not the students were beginning to understand the complexrelationship between design and performance. Figure 4 shows the results fromimportant individual questions that relate to this particular learning objective organizedfrom most
education research focused on young learners raises questions such as howengineering experiences can be integrated into existing school curricula, and which engineeringframeworks are significant, engaging, and inspiring to students 7,8. There are many differenttheories of how to engage students in what they are learning. One of these is ExperientialLearning Theory (ELT), which was developed by educational theorist David Kolb and hiscolleagues. In ELT, “knowledge is created through the transformation of experience” 9, andultimately provides students with the opportunity to directly involve themselves in a learningexperience, reflect on their experiences using analytic skills, and eventually gain a betterunderstanding of the new knowledge and retain
the fall of 2008, there was one section with 50students completing the course. Last fall, there were 69 students completing the course in onesection and 49 in the other. Even the spring section has grown to the initial fall 2008 levels asthere are currently 54 students in the course, up from the 29 students completing the course in thefirst spring offering of 2009. I would like to reiterate that these numbers reflect only thosestudents who have completed the course, since there are a handful of students who drop thecourse every semester.For direct student comments, all of the IDEA Survey comments have been gathered, beginningwith the initial offering of the course in fall 2008. Below are all of the comments with thekeyword project. When asked
Room IS 105Worcester Polytechnic InstituteTeaching laboratories is an essential component of chemical engineering education. They are designed to help students think criticallyabout chemical engineering principles and practices by planning and execution of experimental work followed by reflection, analysis, andinterpretation of data. However, operating teaching laboratories with social distancing measures poses significant logistical and safetychallenges, and alternative modes of delivery could be a realistic way forward in adapting engineering curricula to the post COVID-19world. This paper is aimed at identifying common approaches and strategies implemented in transforming hands-on labs into hybrid, virtualor remote operation to achieve
relationships or be used throughout a mentorshipexperience.DevelopmentThe first decision was to set the topics for the Mentorship Seminar Series. The College ofEngineering Mentoring Fellows reflected on the gradSERU data findings, unmet needs post-developing the IDP, and personal mentorship experiences during the brainstorming phase, withthe final topics being elected on a majority-vote basis. Topics elected to be pursued through theMentorship Seminar Series included: (1) creation, implementation, and other vital resources forgraduate student success under the title “Creating Individual Development Plans,” (2)“Navigating Toxic Environments, (3) “Building Healthy Mentorship Relationships, and (4)“Mentoring, Managing and Diversifying Graduate Student
includes four sections: an‘intro’ session; a ‘play’ session in which students experiment with materials; a ‘learn’ session inwhich students review and practice relevant algebra standards; and a ‘build’ component, inwhich students build a design using algebra skills, following the Engineering Design Process[20]. Example mission topics are technical rescue, machine learning, soundproofing, businessoptimization, and urban heat islands. The course was conceptualized as an Algebra I applicationscourse; each mission integrated relevant Algebra I standards (refer to Appendix A) and built onthe Engineering Design Process (Ask, Research, Imagine, Plan, Create, Test, Reflect, andImprove). Moreover, the course functioned as a survey course to engineering
opportunities. The GEMS program, recognizing the need toprepare all high school students, has since expanded to include male students, leading to itsrebranding as Girls & Guys in Engineering, Math, and Science (G2EMS). This change reflects abroader effort to align more closely with both local and national priorities related to pre-collegepreparation and workforce readiness. However, for consistency, the program will continue to usethe previously established acronym throughout this paper.GEMS has partnerships with schools in San Antonio ISD, Judson ISD, Southwest ISD, andSouthside ISD to host miniGEMS After-School STEAM and Robotics clubs throughout theacademic school year [1], [2], [9]. Each of these districts is home to Title I schools in
analysis method, a review of the codes and memoing was conducted toconsolidate the information collected and then collated into the various categories. A caseanalysis was then conducted with the informant to verify and validate the findings. A vignettewas generated reflecting on the particulars shared by the informant. Lastly used the pre-structured case outline to assist with formulating the theme of the findings.VignetteThe pilot study informant is a PDM who enjoys solving problems with real solutions. For thisinformant, the PDM should be detail oriented and be able to see the big picture. Additionally, beable and willing to make contributions towards successful implementations.The informant stated the roles and responsibilities of the PDM
authorsFigure 8. Textbooks used in first-term courses. N = 39.Computational or simulation activities are done in 54% (22 of 41) first-term courses, which islower than in any other term. Computational fluid dynamics is a topic in only six first-termcourses (15%). None of these computational activities are incorporated into the course grade in18% of the courses with them, some in 59%, and all in 23%. Excel and MATLAB are the most-commonly used packages, as seen in Figure 9, again reflecting the low coverage ofcomputational fluid dynamics. Excel Python MATLAB Software packages Mathematica
students (and faculty) involved.To briefly summarize, USAFA provided a single-semester rocketry design course for many decades,beginning in 1964. [8] The content and structure of that course is largely reflected by the materialdescribed in the following section. The purpose of that course was to provide a hands-on, practicalrocketry experience to USAF cadets desiring to pursue a career in astronautical engineering. Thecourse was highly successful, as the author can personally attest, in that it drew students from aroundthe country to USAFA to partake in this dynamic and exciting experience. As both an instructor for thecourse and an academic advisor over a span of some 8 years, I encountered numerous cadets whoclaimed the rocketry experience was a
andminorities in research despite knowing that they exhibit different symptoms and have risk factorsdifferent to mainstream groups. Some facial recognition software has shown a bias in favor oflighter skin tones. If AI is trained on electronic health records, it is building on only people whocan access healthcare and is perpetrating any limits that are included those records. Health-related AI data need to represent a wide range of social and economic backgrounds; otherwise,algorithms will merely reflect the pre-existing biases of society when faced with situations thatinvolve ethical and social complexity. For example, if poor patients’ health conditions are foundnot to improve after chemotherapy, machine learning algorithms might recommend against
- Moderately effective 4 - Very effective 7 5 - Extremely effective What value does your project provide, and to whom? Who are the potential users or beneficiaries of your project? (Open-ended response)Revenue Streams/Cost Structure: Did your team consider the financial aspect of your project, such as potential costs and revenues? Yes/No Briefly develop a cost structure for your project.Final Reflection: What were the most significant lessons you learned from this project? (Open-ended response)3.2 Project – Design and Fabricate an S-Binder with Additive Manufacturing forMaximum Strength-to-Weight Ratios (Additive Manufacturing)The
exploration and critical thinking. This will help ensure that studentsmaintain confidence and receive appropriate guidance as the topics become more complex. Thestudent feedback also underscores the value of hands-on learning experiences in IoT education.Many students praised the course’s emphasis on practical application and experimentation, whichhelped them develop a deeper understanding of complex concepts and technologies. However,given the breadth of topics covered in the course, managing the workload of hands-on activities isimportant to avoid overwhelming students. Overall, when students were asked to reflect on whatthey hoped to learn from the course, 47 students (96%) indicated that the course either met orsurpassed their expectations (23
The use of OERs benefits educators by fosteringtraditional training that relies solely on textual or logical collaboration. For example, a mathematics teacher may adaptstimuli, such immersive environments engage both conscious openly licensed word problems to include locally relevantand unconscious processes, reflecting the bio-psycho-social language and then share these revised exercises with peers.interactions highlighted by recent neuroscientific research. Such collaboration helps
leads to publications, all of which are vital for career advancement. Reflecting on the Kezar framework for systemic change, the GIANT program exhibits its characteristics. Mobilize: individuals within The Grainger College of Engineering at all levels are empowered to propose projects to address an IDEA issue. A broad range of ideas and some suggested topics are open for submission. Implement: projects are provided with funding, mentoring, and a supportive community to achieve their goals and disseminate findings. Institutionalize: Within the GIANT program, there are examples of projects that are institutionalized. For example, the Grainger Engineering Graduate Student Diversity Ambassadors Program is now
avariety of digital tools. Their choices reflect their degree of awareness and understanding ofavailable tools, showcasing whether they are acquainted with a diverse range of technologiesrelevant to the construction industry. On the other hand, assessing students' comfort levels inusing a specific digital tool provides insights into their confidence and self-perceivedcompetence. This subjective measure complements the objective evaluation of their toolselection, offering a holistic view of their digital skill awareness, confidence, and readiness toapply their knowledge.These scenarios were crafted to assess participants' knowledge of digital technologies and theirreadiness to apply them in practical construction scenarios. By presenting authentic
disabilities Postsecondary education, inclusive postsecondary, postsecondary settings Learning disabilities, disabilities ldFigure 4. Visualization of trending topics in abstracts across the timespan of the dataset.Figure 4 contains the 44 top trending topics from the Abstract field, showing the time span foreach topic with the circle indicating the median year of usage. Some phrases have fallen out ofusage, such as “vocational education”, and others have come into use in recent years, such as“mental health” and “social support.” The trending topics visualization also reflects a change inthe way that disabilities are described and understood medically. Phrases we now consider to bepejorative, such as mental retardation, have fallen out of
incentives to engageand retain users. The prospect of profit serves as a catalyst for tech industry growth, promptingus to pause and reflect on not just “what” products are being developed, but also “why” and“how” they are being created, as well as considering “who” is using those products.Undergraduate coursework offers an ideal setting in which to incorporate ethical andpsychological principles into engineering training. Traditionally, academic programs haveoffered diverse classes and training methods with focus on requisite technical and proceduralskills for innovation. There are varying treatments of how ethical and psychological conceptsare integrated in engineering and computer science programs where technology products arebuilt as part of
in Table 5 and visualized in Figure 8. This survey was aimed at evaluating students’ cognitive and physical workload while interacting with the module within the MR-shared environment. Table 5 shows that Q2.2 (Presence) received the highest mean value (M=3.79, SD=0.86), indicating that the majority of students felt a strong sense of presence and immersion during the task. As shown in Figure 8, 72% of the students (71 out of 98) rated their experience between “Moderate” and “Very High”, reflecting the effectiveness of the MR-shared environment in creating a sense of engagement among the players (users).On the other hand, Q2.3 (Physical Demands), Q2.7 (Situational stress), and Q2.8 (Distraction)received the lowest mean values with (M=1.57, SD
practice, students whose MGUDS-S scores declined were found to have provided negativefeedback, and Slack logs revealed that tasks had been disproportionately assigned to certainindividuals. This suggests that the students' subjective evaluations accurately reflected theactual situation, thereby demonstrating the effectiveness of the proposed methods [1][2].1.4 Problems with Slack-based evaluation in Face-to-Face group work andimplementation of peer assessmentAs initial restrictions related to COVID-19 were lifted and face-to-face activities resumed,the limitations of using Slack-based evaluation to capture student engagement becameincreasingly evident. The authors observed a notable decrease in the total number of Slackposts: while there were
. The views and opinions of authors expressedherein do not necessarily state or reflect those of the United States Government or any agency thereof.References[1] J. Olson, Small-to-Big Physics: An Engineering Physics Model for Broadening Participation in Nuclear Science and Engineering. Rensselaer Polytechnic Institute, 2022.[2] B. J. Guzzetti, T. E. Snyder, G. V. Glass, and W. S. Gamas, "Promoting conceptual change in science: A comparative meta-analysis of instructional interventions from reading education and science education," Reading Research Quarterly, pp. 117-159, 1993.[3] S. H. Creem‐Regehr and B. R. Kunz, "Perception and action," Wiley Interdisciplinary Reviews: Cognitive Science, vol. 1, no. 6, pp
tested frameworks.A third constraint arises through the unit of analysis. In making systemic changes at a degreeprogram level to have impact upon the common good, what exactly is to be changed? One cananalyze the program, those who manage the program, the outcomes of the program at a cohortlevel, or at the individual students who go through the program. Here individual students arechosen as the unit of analysis. This reflects the author’s bias towards personalism [5], whichbroadly focuses on the centrality of persons, seeing human growth and development as central tothe common good. Personalism developed in the 19th century in reaction to depersonalizingmovements in philosophy such as absolute idealism, political movements, and the sense
societal impact, professional skills, and design. These themes are 2integrated across eight project-based units. Units 1 & 2 introduce engineering as a discipline thatshapes everyday life. Units 3 & 4 introduce students to the engineering design process; the classresearches a local problem, collaborates with stakeholders, and develops prototype solutions.Units 5 & 6 expand to global challenges, guiding students to design, test, and refine prototypesaddressing both global and local issues. Units 7 & 8 encourage students to identify problems intheir daily lives, apply the design process, and reflect on their learning. Throughout the