Sciences, an undergraduate bachelor of science degree program in the MSU College of Engineering. He also is an Associate Professor in the Department of Computer Science and Engineering. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. Over the last decade, Dr. Sticklen has pursued en- gineering education research focused on early engineering; his current research is supported by NSF/DUE and NSF/CISE. Page 22.763.1 c American Society for Engineering Education, 2011 Using Guided Reflection to Assess
approach that integrates project management methods andtools with Lean-Six Sigma methods. An additional objective of this research is to develop abetter understanding of the unique aspects of the engineering problem solving process. Weassessed the student’s problem solving strategies, products, and design process reflections usingWolcott’s “Steps for Better Thinking” rubric 1.IntroductionCapstone courses give students the opportunity to solve large, unstructured problems in aclassroom setting. These team-based projects mimic the industrial setting that most students willenter upon graduation. Throughout the capstone experience students find themselves faced withcomplexities not found in a traditional course, especially when the projects are
, they were asked to identify anything that can affect the health and wellbeing of thesummer camp students. Upon completion, they presented this HHM to the chief risk manager forthe summer camp. In the second HHM exercise, students were given a magazine articlediscussing the consequences of the 2010 oil spill catastrophe in the Gulf15. Students were brokeninto two competing groups and each group was asked to construct a separate HHM thatillustrates the factors associated with deep water drilling risks. The two groups compared theirindividual HHMs, discussed the differences and integrated their insights into a single,comprehensive HHM. Upon reflecting on the resulting model, students were asked to identifysome conflicting stakeholder needs and
Feedback provided to learners (dialog, email, etc.) o Recommendations accepted/rejected o Instructor’s observations Simulation Output: o Last phase/cycle completed o Results of schedule, cost, range and quality o Final status charts o Final score Self-Reflection: o Reflection feedback provided to the learner o Learner’s reflection inputALATs provide the capability to visualize the experience performance data, userrecommendations, and user actions. Figure 2 shows a screenshot of the Learning Analysis Tool.For example, instructor could use this tool to visualize the weight recommendation for APSdepartment by a specific student, and analyze the actions made before each
disadvantages of modified process are discussed.We hope this paper serves as a guideline for course instructors who are considering going agilefor a capstone design course for computer engineers, software engineers, or multi-disciplinaryteams.Crystal Clear ProcessCrystal Clear is designed specifically to work with small to medium sized teams. Some of theproperties of this process include: frequent delivery via 2–4 week iterations; processimprovement via reflection workshops at the end of each iteration; osmotic communication byco-locating teams, and utilizing charts and boards to share information; personal safety; focusthrough a flexible plan that identifies fixed deliverables per iteration; and a technicalenvironment capable of supporting automated
transformation emphases are illustrated in the coloredboxes. The colored circles signified the methods and decisions of self improvements (SI0-1, SI1-2, andSI2-3). Various self-improvement methods (teacher reflection, product creativity check, and PBLexperience student report) were adopted in each round (text underlined). The major decisions of self-improvement are provided in the colored circle.This paper is structured as a case study to explain the transformation process listed inFigure 1, including working emphases, self-improvement methods and sequentialtransformation decisions for the DCS capstone course. Figure 1 shows the timeline ofcapstone transformation (rounds 0 to 3) and self-improvement cycles from 0-1, 1-2,and 2-3.In the following, Session
convergent validity testing between the results and the systems thinking construct.Reflective NarrativeDescription: Students will provide open-ended reflections after each Think Aloud activity and onereport on systems thinking and its implications on project management and engineered systems atthe end of the course. A. The open-ended reflections focus on how the student engaged and learned in the course. It encourages students to recognize positive, negative and neutral aspects of the task(s). B. The report challenges students to determine whether they perceive a benefit of systems thinking in engineering and must support their position. Any individual adjustments made between the pre- and post- knowledge survey is
could potentially accelerate the student’s learning of selected systems engineeringcompetencies.1.0 IntroductionSystems engineering educators are struggling to address workforce development needs requiredto meet the emerging challenges posed by increasing systems complexity1 and the widening gapin systems engineering expertise in the workforce.2 The systems engineering ExperienceAccelerator (ExpAcc) research project was conceived as a critical response to these needs andchallenges. The project was initiated to validate the use of technology to potentially create anexperiential, emotional state in the learner coupled with reflective learning so that time iseffectively compressed and the learning process of a systems engineer (SE) is
experienced a dramaticdifference from receiving appropriate instructional design and development support. Table 1summarizes the path of transformation reflected on the instructor’s perspectives. It highlights 10key features which demonstrate significant difference that the instructor perceived during the Page 25.787.2transformation. Key Features Before Receiving After Working with Instructional Support Instructional Designer 1 Course layout Unit based (6 units) Weekly topic based (15 main
. Share your scenario with a classmate (next student alphabetically on roster) and receive scenario from another classmate (prior student alphabetically on roster.) Page 25.265.6 3. Follow “The Steps” provided in Figure 2 and prepare a 10 minute presentation. 4. After presenting and submitting the presentation, peer- and self-assessment will enable a reflective summary of the entire activity.The peer assessment portion of the plan engages the audience and provides other students theopportunity to contribute to the learning experience. The presenter will receive more than just agrade as feedback. They will receive both
of cash on hand at the end of a round, typically timed to about 20-30 minutes, with noresidual value for unsold inventory. Vehicles intended to be sold must identically match a masteror blueprint provided to each team at the start of a round. The customer can reject a sale for anyquality defects such as missing components, misplaced components, or incompletely attachedcomponents. The penalty for non-quality should be quite large as it reflects warranty costs in thereal world which can be very significant [16]. Quality defects can lead either to confiscation,financial penalty, or return of the vehicle to the manufacturer for warranty service.3.2 Physical Components: LEGO Brick VehiclesVehicles require about 20-40 individual LEGO brick parts
places, or community settings. The courseincludes a considerable amount of experiential learning, requiring students to reflect on theirdesign and developmental efforts throughout the semester. Projects which enhance safety,accessibility, or “greener” alternatives to existing devices often serve as potential projects.Each student selects a project from a broad program area such as electricity and electronics,computer systems, or networking. Project topics which bridge multiple program areas orinclude mechanical components are recommended. These projects allow students theopportunity for showcasing their knowledge, skills, and professional work practices.Learning in the capstone course is directed so that it is solution based. Students start off
. Additionally, Figure 3 clearly shows the lack of agreement of the Bloom’s levelattainment at the end of the program. Only the enabling systems engineering SEBoK partshowed agreement in the Bloom’s level but also had one of the lowest agreements of the requiredcore knowledge.The Thirteenth InputIn one case, the input was a merged set of input from a collaboration of industry representativeswho also had access to the previous 12 inputs as guidance. One corporation wanted to ensurethat the results of this effort strongly reflected the industry needs, as well as the perspective ofacademia. The BKCASE author from that corporation coordinated input from a team of systemsengineering leaders to obtain a consensus input. This initial collection of the input
Canadian tax system but modifying this section to reflect the U.S. tax system (orany country’s system) should not be an onerous endeavor for a course instructor familiar withtheir local tax structure. Many of the examples used in the textbook relate to Canadian industriesand businesses. While there is nothing wrong with keeping these Canadian examples, it mayengage students more if the examples reflect the important industries or businesses of theirgeographic region.The authors of this current version of the open textbook would like to encourage others to adoptthe textbook and may provide some assistance with modifications to help suit the needs of otherinstructors.Future work also includes studies to determine the effectiveness of this open
common assumption of a positive interest rate,money grows to a larger value as it moves forward in time and shrinks as it moves back in time.This is reflected in the (P/F,i,N) and (F/P,i,N) factors which are generally introduced when discussingthe notion of interest. As these serve as the basis for all other factors, they are the only factorsthat need to be explicitly covered in classroom material. Once understood, the mechanics ofmoving money through time can be easily illustrated on a spreadsheet, without the use of factors.Furthermore, this author would argue that one can build intuition merely by working lots ofproblems – even if the actual calculations are performed on a spreadsheet. In terms of intuition,an engineer that can build
individual roles for focused attention on targetedcomponents or subsystems. These subsystems primarily focused on blades, generator and theelectric grid. Training was provided to theboth teams in the following engineeringconcepts: constraints, requirements, trade-offs, optimization, and prototyping. The SEswere provided with more detailed training andresources such as the Vee model which theyshared with the rest of their team. That beingsaid, we wanted the students to experiencesystems engineering and componentengineering first and reflect on theterminology later. Teams started out with twolarger teams to kick off designing blades and generators and then later evolved into smallergroups with 2-3 ‘rovers’ to assist on other tasks.Instructors were
use constructs of affect to i This material is based upon work supported by the National Science Foundation under Grant No. NSF 14-32426,14-31717, and 14-31609. Any opinions, findings, conclusions or recommendations expressed in the materialsprovided are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. understand and assess the students’ STEM affect. Each component of the theoretical frameworkis described in the following paragraphs.STEM-literacy for the 21st Century is multifaceted and includes content knowledge and habits ofmind5. For the purpose of this study, we refer to
Education, 2019 Exploiting Digital Twin Technology to Teach Engineering Fundamentals and Afford Real-World Learning Opportunities University of Southern CaliforniaAbstractThis paper presents an innovative instructional approach that capitalizes on digitaltwin technology to transform traditional lectures into “learning-by doing”experiences in the course laboratory. In this paper, we address how the use ofdigital twin technology in laboratory simulation environments affords studentsauthentic learning experiences, i.e., experiences that reflect what a learner isexpected to encounter in the real-world. The immediate feedback feature, enabledby the connection of the digital twin to the physical twin, provides
Removes Exchanges heat Track sun Exchanges heat Self-made Copper tubing Aluminum Safety Parabolic interface Still in Progress Reflector 1. Reflective External Water sheet metal Heat Exchanger
%), developing/writingfunctional specifications (56%), safety in product design (52%), and leadership (50%).Course design has been linked to student self-efficacy.7 In capstone design courses, problembased learning and reflective journaling have been shown to improve self-efficacy.2 By exposingstudents to the need for technical and professional skills, introducing them to the proper problemsolving approach, and allowing the course to support student development, students are morelikely to report high confidence in their own abilities.2This paper will build upon the previous literature and examine Industrial Engineering capstonecourses from across the nation. The researchers hope to identify characteristics of capstonecourses that positively affect
to full-time NTTF. Figure 2. Main duties of SCSE full-time NTTF2. Comparison of the roles of SCSE full-time NTTF and TTTFAmong the 14 institutions that hire full-time full-time NTTF, 12 of them (85% response rate)provided the data needed to compare roles of SCSE TTTF and full-time NTTF within the last 5years. The comparison is summarized as follows: • 75% of full-time faculty at responding SCSE programs are TTTF, which is much higher than the corresponding percentage overall in US universities. • In 100% of the SCSE programs, TTTF are generally more active than full-time NTTF in research publications and research funding, reflecting the primary role full-time NTTF have supporting
, includes not only the analytic element but also development of recommendations forthe solution of the problem at hand. Moreover, they argue that systems engineering includespolicy analysis in addition to technical or analytical aspects, reflecting the fact that complexsystems inevitably involve trade-offs that involve underlying values articulated through writtenor unwritten policy.6The essence of this brief background is that systems engineering is not a set of tools, amethodology, a checklist, a technology, or a process, yet systems engineering often requiresanalytical tools, methods, checklists, technology, and processes. Rather, it is a way of thinking –systems thinking – that reflects an understanding and appreciation of goals (value
, simulated learning approach for accelerating systems engineering competency development validate the ability of such an environment to create an experiential, emotional state in the learner determine if such an environment, coupled with reflective learning, effectively compresses learning time.If the above are true, then the SEEA could significantly increase the experiential resourcesavailable to a systems engineer (SE) over time, and provide assimilation of the experiences at ahigher rate as compared what would occur naturally on the job.Figure 1 shows how the various concepts developed for the SEEA are related. Figure 1: Systemigram of the concepts involved in the SEEA Experience [6, 7]As shown, the
science, these foundations must be complemented by skills inprogramming, systems thinking and the ability to use relevant tools. Further, these new engineersmust possess a variety of ‘soft’ skills (i.e. interpersonal and communications skills) as well as agrasp of economics and business acumen.The need for changes in the approaches used to teach future engineers and instill the necessaryKnowledge, Skills and Abilities (KSA) is also emphasized. These KSAs are reflected in thedesired outcomes of STEM education outlined in recent versions of professional accreditationcriteria. For example, seven of the eleven current ABET (Accreditation Board for Engineeringand Technology) criteria for accrediting university engineering programs10 either state or
Page 24.990.2 then formulate a plan for solving those pieces, is equally applicable and useful to a wide variety of projects, provides assessment tools that are an integral part of the process, provides opportunities for students to reflect on the usefulness of the process, is easily learned by faculty who haven’t previously taught the course and don’t have a lot of design experience, minimizes the overhead to faculty in terms of working with the teams and assessing their progress, and minimizes the additional workload on the students.In the past, the course structure depended on the experiences of the faculty supervisors andvaried from project to project. This variability and lack of
– simplicity vs complexity (see Table 1). Six binary questions are used to determinethe complexity dimension level.The Development of Authentic VR Gaming ScenariosStudents are engaged in simulated real-life situations where their responses to different events areobserved. Students’ reactions to each case reflect a preference of their way of thinking whichallows the identification of their systems skills. The VR gaming scenarios is built with the use ofUnity3D engine simulation software. The Oculus Rift VR headset is used as the bridge betweenreality and the immersive environment.The developed VR gaming consists of a User Identification Scene (refer to Figure 1) and 5 complexsystem scenarios of a marketplace (see Table 2): the Main Store Scene I, the
, stricter government safety or environmental regulations also need to bemet. There are many examples, like cars and home appliances, that reflect this challengingscenario. Consequently, industry needs mechanical engineering graduates that have the necessaryknowledge, skills and abilities (KSAs) to successfully participate in the design and developmentof complex products or systems.The fact that companies need engineering graduates with a good foundation in the process todesign and develop products and systems is reflected in the new ABET accreditation criteria [1]and in references such as the Engineering Competency Model that was jointly developed byAmerican Association of Engineering Societies (AAES) and the United States Department ofLabor (DOL
methodology.The interviewees were asked questions in three broad areas: their personal definition of missionand their organizations’ definition of mission engineering; desired and actual competencies; andtheir vision for the future. Initial findings reflect the commonality across all organizations so thatpredominant organizations in the dataset do not dominant the results at the expense of insightsprovided by the set of organizations.There is also a rich body of work in the open source literature over the last ten years describingmission engineering applications, methods, and tooling. This literature search includes both peerreviewed journals and conferences as well as education courses and in-house publications andtraining. Finally, we have provided
participation inconstructive discussions.3.4 Software and Systems Requirements Engineering Course Assignments. As with all otherengineering course offerings, if the instructor wants to successfully achieve the course learningoutcomes, the course must include more than traditional lectures. The students must be able toinvolve themselves in new experiences, in this case by working on complete requirementsengineering projects. This approach, depicted in Fig. 1, is called in the literature experientiallearning, and includes the students’ experience, their skills to observe and reflect on theexperiences, their abilities to learn from the experience, and their proficiency to try out thelearned facts[12]. A similar pedagogical approach was identified by the
Technology (ABET) accreditation criteria forengineering programs that took effect in the 2019–2020 accreditation cycle [1] reflect an increasedemphasis in having engineering graduates that are prepared to participate in the development ofcomplex products and systems.The wide array of knowledge, skills, and abilities (KSAs) desired in engineering professionals isevident in references such as the Engineering Competency Model jointly developed by theAmerican Association of Engineering Societies (AAES) and the US Department of Labor (DoL),the CDIO (Conceive Design Implement Operate) Syllabus 2.0 proposed by the CDIO organization,and the U. S. Department of Defense Systems Engineering Career Competency Model [2-5]. Someof the listed KSAs [2-5] highlight