that may be overlooked bynovices. The content knowledge of experts is organized in ways reflecting a deeper underlyingunderstanding of the content, allowing them to flexibly retrieve and apply key aspects of it whilesolving problems. By providing students with experiential learning opportunities, avenues forworking with scaled-down versions of technical problems, they too can begin buildingcontextual understanding, allowing them to notice subtle difference between similar situations.This will allow students to learn the information more effectively and to retain it longer,facilitating better transfer of knowledge and skills from the classroom to the workplace. In [2]emphasis is placed on the importance for learners to organize key ideas into
experiential learning portion of the fermentationfundamentals previously learned in a classroom lecture. Furthermore, these key discussions mayhelp some students stay fully engaged in the laboratory and gain greater understanding than theyotherwise would sitting and waiting for the wort boil to finish.Periods of downtime during this laboratory are also crucial for individual and group reflection onthe overall fermentation process and how this exercise links to their chosen profession asenvironmental engineers. Students from each group are encouraged to communicate with theother student groups and observe and inquire regarding some of the differences across the varietyof beer flavors and types being brewed, giving them a better appreciation for the
experienceshave had a clear effect on my studies in engineering, and I expect the same may be true for myfellow veterans who have also decided to pursue undergraduate degrees in engineering. In fact,my contemplation and reflection of how experiences following my military career affected mystudies drives this very research. I have been utilizing my experiences from military service,engineering academic studies, and time working in the engineering and education industry tobetter understand the transition from active duty military member to engineering student.Ultimately, it is my hope that my experiences have offered a unique approach to this study andthereby benefit veterans seeking engineering degrees.Validity and ReliabilityDue to commonalities in our
likely to be retained [6].Effects of gender on retention and successGender influences patterns of retention and academic success in engineering programs. Inengineering majors, men typically outnumber women, as reflected in a 2017 report whichrevealed only 21.3% of bachelor’s degrees in engineering were earned by women [14]. Despitewomen earning fewer engineering degrees than men, a positive correlation between being femaleand graduation rates has been found [3]. Women frequently have been reported to be more likelythan men to earn a bachelor’s degree once enrolled, regardless of the time frame needed to earnthe degree [15] [16] [17]. The evidence, however, has not been uniform: Lord et al. [18] foundno significant difference in four-year
method thatrequires students to gain knowledge to solve real world problems. Ram et. al. 2007 points outthat student lack of interest is often attributable to the lack of real-world relevance found in atypical course. Ram further points out that using PBL successfully helps develop skills inlifelong learning that are not always present in the classroom. PBL helps students develop self-assessment independent of a teacher directing them. Mills et. al. 2003 poses the question “doesproblem-based learning work in engineering?” Mills concludes that “chalk and talk” pedagogyalone, is not the answer to teaching. Rather a mixture of traditional coursework and PBL islikely to be more successful. This is true here too, and after some reflection, some
their efforts, which can be difficult both for tenure-track faculty who are evaluated based onresearch publications as well as non-tenure-track faculty with high teaching loads.In reflection of these lessons learned, we plan to continue to implement these projects in classeswherever relevant, including both design- and energy-focused courses, in addition toindependent study and research projects. Continuous project refinement is needed to ensure thatprojects are well-defined and tractable for students. All projects will require regular feedback andinteraction with facilities staff to ensure both project relevance and implementation of projectresults. Finally, the continued pursuit of institutional-level resources will be needed to providethe
provides the essential immersive experiencehas become more affordable [11]. Nevertheless, a review of literature revealed only a few casesof VR-based STEM learning being reported [12]. Different from the game-based learningstrategy [13], [14], learning in immersive VR environments must properly reflect the physicallaws or spatial constraints governing our surrounding in order to imitate the real worldexperience. A typical example is the building activity in the video game Fortnite [15]. While theplayer has to collect material before actual construction can happen, the structures created wereso simplified that they could not exist in the physical world. Video games such as Fortnite do notrequire an immersive environment, as the focus of the games
learner was greatlyincreased while also increasing the amount of time for in-class problem solving. However in thisstudy it is difficult to isolate the effect of the daily quizzes from the change in number of weeklymeetings or increase of time for in-class problem solving. Further the course evaluation dataremains difficult to interpret. In the 2016, only 51% of students enrolled in the course participatedin the final course evaluations and in 2017, only 35% of students completed the evaluations.Because of these low response rates, it is possible that the reported data in this study does notaccurately reflect general student perceptions of the course. More work is need to isolate theeffects of the daily quiz and to study the effect of the various
Dyrenfurth [3]provide a very good review of the terms that are used in scientific literature, which include,among others, nonscientific beliefs, alternative frameworks, p-prims. Though vocabulary maychange, misconceptions (term chosen for this paper) are how people make sense of the worldeven though it does not reflect established scientific knowledge held by experts. Misconceptionsmay also be incorrect categorizations, particularly if one understands concepts as organizingknowledge in categories [7]. In general, misconceptions may arise due to incorrect instruction,but they may also be constructed by everyday interactions and language barriers. It is importantto note here that there is a line of research that understands misconceptions as novice
rationale for each form. At the end of the semester, students wereasked to reflect on the strengths and weaknesses of whatever grouping technique was used intheir section. A qualitative analysis of all of these data has led to a description of the experiencefrom the perspective of the students. Further, the trends that emerged from these engineeringstudent descriptions were compared to and contrasted with the benefits described (largely byinstructors) in implementations in mathematics courses elsewhere.Course Background, Description, and SettingThe work described was situated in the first-year engineering honors program [17]. Thisprogram, which has enjoyed a rich history, typically serves between 350 and 450 students peracademic year. Almost all of
GeneralizedObservation and Reflection Platform (GORP), hosted by UC Davis(https://cee.ucdavis.edu/GORP). While there are limitations to the GORP tool, the advantage ofbeing free, intuitive, and able to be run on a touch screen laptop far outweigh limitations. The dataare captured in real time and outputs as a spreadsheet file, which reads the categories as a functionof time points. The resulting data file can be manipulated in MATLAB or other programs. Table 2: Codebook and Numerical Values Assigned for Data Processing Numerical Level Definition of Level
sheltered by the island.NUMERICAL MODELS The USACE Coastal Modeling System (CMS) numerical models (Demirbilek andRosati, 2011) were implemented in the present modeling study. The CMS is a suite ofnumerical wave, current, salinity, and sediment transport models consisting of CMS-Wave and CMS-Flow. CMS-Wave is a finite-difference, two-dimensional steady-statewave spectral transformation model that calculates wave propagation, generation,refraction, diffraction, reflection, transmission, run-up, and wave-current interaction (Linet al. 2008, 2011). CMS-Flow is a finite-difference, time-dependent three-dimensionalcirculation model which also calculates sediment transport, morphology change, salinity,and temperature fields (Buttolph et al. 2006
– Proposed New Courses/Modules for Certificates/AS DegreeIs This Approach a Possible Solution?Shown below in Figure 4. are the basic enabling technologies of IoT applications that exist acrossvarious fields of technology including non-electronics based fields (e.g. smart agriculture, civilengineering, etc.). This figure shows that at the very center of these technologies is a complex,networked, electronic systems. The application itself is reflective of the specific discipline that theIoT application is designed for. An e-healthcare application might be to gather an individual’s vitalsigns in their place of residence and wirelessly transmit them to a central location where they canbe monitored. A smart home might be gathering data about solar panel
moraldevelopment that privileges reason (see discussions in Davis and Feinerman [2]; Holsapple et al.[3]; Clarkeburn [4]; Bebeau and Thoma [5]). Moral foundations are described as value-drivenaffects that influence our decisions even before conscious reflection and reasoned decision-making enters the stage. Identifying the roles that such pre-rational individual values play withindisciplinary enculturation is especially crucial to increasing and retaining diverse perspectiveswithin STEM fields, contributing specific insight into why some individuals may not “seethemselves” in the values of their selected disciplines [6], [7]. This institution-specific analysisprovides proof of concept through preliminary data in support of a larger multi
works? The hope wasto nudge students towards an understanding of math that is not based on rules and rotememorization but instead is based on understanding the big concepts and knowing how thoseconcepts contribute to the myriad of tools used as part of the mathematician’s toolbox to solveapplication problems.To help along this journey, the instructors designed a few specific activities designed to generatediscussions about math, what it means to understand math, and even what it means to be good atmath. To start the course, students were asked to read, reflect on, and write a response to thewell-known essay, The Mathematicians Lament, by Paul Lockhart. This was followed up withan in-class discussion in which students were asked which part of
]. Patriciu and Furtuna, developed a guide for the designof cybersecurity exercises. The guide suggested seven sequential steps that should be followed todesign an effective cybersecurity exercise. The steps were as follows: Objectives, Approach,Topology, Scenario, Rules, Metrics, and Lessons learned. As a high-level guide, Patriciu andFurtuna, explained what each step was meant to achieve; an effective scoring engine istransparent to participants and accurately reflects rules regarding scoring. The scoring metricsare to be directly related to learning objectives [17]. For example, if the learning objective wasto secure a service using firewall technology, the corresponding metric should have measuredwhether that service was secured by the firewall’s
superior transfer and retention of the GIM framework forStudents’ performance on challenge-based assessments solving open-ended challenges (Figure 5). Illustratively, whenincreased linearly with respect to assessment number asked to reflect on the biotransport learning experience, one(r2=0.927) while having minimal correlation with routine student explained,knowledge performance (r2=0.338). (Figure 2). Performance “[Now] I don’t immediately jump to solving [a problem],on routine assessments had no correlation with time (r2=0.07, but think about how to approach it and often find severaldata not shown). Students’ familiarity and confidence toward ways to [solve] it. If one
campus that we selected at the beginning. After collectingoptions, as reflected in survey responses described above, feedback, analyzing survey results, and scouting eachneed to be designed and implemented at both hardware and location several times through the day and the week, thesoftware level to meet the anticipated quality of service. final set of five BSS location recommendation are marked by red triangle outlined with black. The two green3.2 Factors and Process of BSS Station Location
an average of 93% which is an A-. Therefore 77% of the class performed with a B+ orhigher on the project and 44% earned an A on the project. As a whole, student performance onthe group project exceeded performance on exams. As this was a newly developed courseoffered for the first time, student performance proved a positive reflection on the coursedevelopment. Course Performance 10 Quanitty of Students Earning 8 6 4 Grade 2 0 A A- B+ B B- C
changes in teaching and learning have transformed the foundationof education. Over time, the role of the teacher has evolved, from the transmitter of knowledge(traditional education) to facilitator [1]–[3]. Dewey [4] argued that people learn by doing,students should be exposed to experiential activities that promote reflection. Students are nowplaced in the center playing the main role as they are the ones who actively construct their ownknowledge through the tools that the teacher provides and social interactions [5].Active learning has been defined in different ways, Bonwell & Eison [6] provided a practicaldefinition as "any activity that involves students doing things and thinking about what they aredoing." It has been documented that
of your workshop colleagues (partners will be paired up in the workshop) • A “guided practice” document for the lesson, again revised according to collegial feedback (note that there will be some overlap between the lesson plan and the guided practice. The lesson plan is for your use; guided plan is for student’s use.) • A brief reflection about what, if anything, you plan to do for flipping a class in Fall 20XX. Note you don’t actually have to flip anything, but we hope you do! Comment on the time, energy, etc and if you are planning to flip, describe how you plan to get those resources.Lessons LearnedDuring the course of this flipped learning initiative, it was
-aided design (CAD) package to engage inadvanced design-manufacturing analysis which is valued in industry.Introduction and Background Instructors are always trying to find a passionate way to teach their courses to supportstudent’s success efficiently and effectively. Also, the continuous increase in the needs for newtechnical and nontechnical skills in the modern work environment represents another pressurefactor on the universities to update student's learning outcomes to meet the demand of thecontemporary industry and business to up-to-date qualified workers. Thus, teaching style needs tobe updated continuously to reflect the direct and indirect changes in the learning and workenvironment. In general, during the past decades, education
previous section, focusing onenvironmental, economic and societal dimensions. Moreover, indirect and systemic effects arenot explicitly addressed in the rubrics.Conducted experienceSustainability postureThe conducted experience reflects a posture around both sustainability and the engineeringdesign fostering it. It is defined as follows. ● There is not a unique or general set of features allowing to declare as sustainable a software product in all scenarios and circumstances. Consequently, during an iterative decision-making process, the goal is analyzing, comparing and choosing by stakeholders, among the different alternatives based on the inherent sustainability trade-offs associated with each engineering solution ● A
arc termination.The assessment in Welding Technology for Manufacturing and Agriculture/Welding Engineeringconsists of five homework assignments, two exams, and one seminar work. Results fromexperimental work in the laboratory are included as part of homework assignments and comparedwith theoretical calculations with reflection on trends observed. It should be noted that theagreement between experiments and theory is not required, but what matters is insight inexplaining the differences. Exams are problem-based, open-ended, and students are given 24 hoursto complete it. Seminar work includes an in-depth analysis of a topic of their choice, whichconcludes with the written report and informal presentation with open discussion during the
thatstudents’ self-assessments are not accurate, often reflecting over-confidence (e.g., Kruger &Dunning, 1999 [27]).One challenge in data analysis was that fewer students completed the post-test (16) than the pre-test (36), likely because the participation in the survey was voluntary and the post-test came at atime when students were finishing high-stakes final projects. So, in addition to enhancing thecase study materials and refining the STSS instrument, future work will also include exploringways to better incentivize students to complete both the pre- and post-test.Finally, it is possible that the STSS results could be somewhat skewed by the fact that, unlikemost other universities, students at CMU have two capstone experiences to choose
experientiallearning opportunities, including coaching other students and participating in an internship.Finally, they will learn the basic tools of project management. The following steps describe thedetermined flow of the curriculum: Building self-awareness through assessments and personal reflection Developing self-mastery through improved personal behavior modification to prioritize activities and set personal goals as well as building supportive communication skills Growing followership and teamwork skills by working in small teams Growing larger team leadership, innovation and organizational skills Developing a sound understanding of the principles and practices of project
coincidewith the thermodynamics course. The opportunity to see it applied in another course may havepiqued their interest. User's Survey (n = 92) 2 1.5 1 0.5 0 -0.5 -1 -1.5 -2 EASY-TO-USE HOMEWORK NOZZLES HANDOUT ENGINEERING Questions from user's perspective Excel LabView MatLab SciLab Web PageFigure 9: Survey results related to user experience (evaluation of other groups)The survey gave students the opportunity to add additional comments about the project. Arepresentative sample of the feedback is listed in Table 2. The comments reflect many of thesame results already
difficult to adequately evaluate these programs. In order to evaluate andassess new experiments and projects, prior to introducing them in our curriculum, we use summerprograms with different students to develop content and test learning objectives. We introduce thenew topics to a cohort of students of diverse cultural background from local and internationalstudents. Our methodology is similar for the curricular development of each program (Figure 1)and consists of four main and distinct stages: (1) planning and administrative preparation, (2)content development and small-scale testing, (3) deployment and daily student assessment, (4)reflections, modifications and adjustments for a final course implementation. [6