made complex because there are multiple viewpoints from which one mayexamine a curriculum. Porter25, 26 (2002, 2004) makes distinctions regarding the four levels atwhich curricula analysis may occur. Table 1 reflects the focus of curricula analysis at each of thefour levels.Table 1. Primary Focus of Curricula Analysis at Each Dimension of a Curriculum Level Primary Focus of Curricula Analysis Intended Curriculum Analysis is concerned with examining the content (e.g., declarative, procedural, tactile, and situative knowledge) and the performance expectations, which is the level at which a student is expected to know and use the
potential to play a leadership role: “environment” is one of thethree “legs” of sustainability, while civil and architectural engineering represent significantanthropogenic flows of materials and energy and reflect the needs and desires of society. Page 14.897.2In the first of a two-step benchmarking process, the administrative heads of 1368 engineeringdepartments (or the equivalent) at 364 US universities and colleges were contacted and asked tocomplete a questionnaire about the extent to which sustainable engineering was being integratedinto their departments. More than 20% of those contacted responded. Within that 20%, morethan 80% of all
characterized and reported to the student in terms of each of the followinglearning style pairs: • Active vs Reflective Learning Style • Sensing vs Intuitive Learning Style • Visual vs Verbal Learning Style • Sequential vs Global Learning StyleIn our case we were most interested in the Visual vs Verbal learning style. Page 11.1281.3MethodologyTwo introductory undergraduate mechanical engineering courses, dynamics and fluid mechanics,were selected for this study. The courses were taught by different instructors, both of whom hadtaught the courses a number of times in the past. In each course students were made aware duringthe first
participants about an activitythey enjoyed and how they learned in the settings outside the classroom for that activity.Students were then asked to reflect on how the learning in both the settings (ie. inside theclassroom and outside) were different or similar.For interviews at PriU we asked: “Tell me something you enjoy doing. How did you go about learning how to do that? (examples might be an instrument, sport, language, game, cooking, or other craft) How is learning for this activity the same as and different than learning in academic classes? What makes it different?”For interviews at PubU, we asked: “Tell me something you enjoy doing. How did you go about learning how to do that? (examples might be an
thetwo courses in Spring 2016, including increased integration of readings, reading reflections, anddiscussion in Design Lab, and hands-on projects and introduction of tools that could be used toweigh trade-offs in Seminar. As one student expressed in a focus group, “Well, I got to say, it's alot more design in seminar and a lot more seminar in design.” Although some students indicatedsome sense of ambivalence regarding this change, all students in the other group agreed with onestudent’s explanation: It kind of feels like they've blurred the lines between our design lab and seminar. It's actually kind of nice because it makes it harder to differentiate between the two. I kind of liked the classes have somewhat blurred together
done along with a weekly log and journal that describes the activities.Students also complete a student survey to reflect on their experience and are graded by theirwork supervisors. The new course will also include the minimum hours requirement, weeklyjournals and logs along with the PPT Presentation. The main difference will be that the studentsare required to produce scholarly works including conference papers and trade journal articles.Scholarly works of appropriate quality may also be submitted to scientific journals. Thecompletion and submission of these works will be the requirement, not the acceptance.The course will draw its students from internal and collaborative research projects at theinstitution along with students conducting
multiple ways.The initial framing and resulting ideas that a designer generates to solve a design problem maybe influenced by that individual’s cognitive style. Cognitive style is a stable attitude or way ofthinking that reflects how a given individual prefers to interpret and respond to information.7Kirton’s Adaption–Innovation (A–I) theory posits that some individuals are more adaptive andprefer more structure, while others are more innovative and prefer less structure. Althoughindividuals may have a preferred problem solving approach, there are always different problemsituations or different times within a problem in which there could be a benefit to approachingthat problem in a non-preferred way. A person who is able to ideate along a spectrum
students, one instructor, and fiveteaching assistants, with course activities spread across multiple lecture, lab, and recitationsections meeting at different places in time and space.This research paper explores the consequences of this scaling for the students enrolled in thecourse, as well as for the instructors, teaching assistants, and facilities involved in courseimplementation. A mixed-methods approach featuring quantitative data including studentacademic performance metrics, demographic characteristics, and pre- and post-survey resultsrelated to attitudes and motivations to persist in engineering are combined with qualitative datafrom individual student interviews and textual responses to biweekly reflection questions tounderstand how the
vision, quality assurance, manufacturing science, andprocess control. Most simply, small (∼1 cm2) solar cells can be characterized by pointmeasurements such as open-circuit voltage, photocurrent, efficiency, and spectral response.However, solar cells, including large-area devices (∼ 100 cm2) and modules, can be analyzed inmuch more detail by scanning and probing the solar cell to map the localized electrical andoptical characteristics and performance in two dimensions. Here we describe the adaptation ofan inexpensive (∼$100) desktop laser engraver and a low-cost CCD camera for 2-D profiling ofsolar cells based on light-beam induced current, spectral response, surface roughness topography,grain structure and texture, and reflectivity. We also use
examples to illustrate those points, and including encouragement to balance thecriticism. Rubrics can also reflect this perspective by putting more emphasis on higher-levelskills such as rhetorical effectiveness (consideration of audience, purpose and context), logicalorganization, thoughtful selection and summarizing of references, appropriate tone and balance,effective use of language, and persuasive argument [33].Research on writing in the disciplines has documented the centrality and diversity of specificgenres [20], [34]–[37]. Genre is a concept that defies simple definition, but for the purposes ofthis paper, it can be considered a type of writing, encompassing the typical audiences, purposes,style conventions, writing practices, and
townsuffering from a natural disaster. Built into the curriculum are numerous opportunities for youthto reflect on the relevance of program activities to their interests and their lives, which priorresearch has suggested help to increase youth interest and persistence in STEM. Here, we reporton the field trial of this program, and examine the efficacy of the program for increasing youthmotivation and aspirations in STEM, enhancing their abilities to engage in engineering designpractices, and for developing their capacity to use UAVs to address scientific and engineeringproblems. We also report on the changes the program had on youth perceptions of UAV/Drones:from considering UAVs as “toys” to realizing they can be used as “tools” to support science
the Innovation Cycle of Educational Practice and Research be modified to reflect a meaningful agenda for broadening participation of African Americans in engineering and computer science?The conceptual framework guiding this study is the Innovation Cycle of Educational Practiceand Research [3]. This model depicts an idealized, cyclical relationship between research andpractice: a scenario in which practical issues drive research questions and research insightsinfluence what happens in practice. Unfortunately, this is rarely what happens in reality—mostof what happens in practice is not informed by research, nor is it properly assessed for accuracyof meeting objectives [3]. The same is often true in the reverse, as research
in fall 2015, all engineering students taking the UW-Stout course Impacts ofEngineering have participated in a pre- and post-survey, examining their values and ethical beliefsregarding professional responsibilities and humanitarian service learning work. This courseintroduces students to the engineering design process, explores “past and present impacts onpeople, society, and the environment,” and examines “contemporary and emerging issues relatedto engineering.” Survey questions measure attitudes and competencies surrounding ethics,sustainability, the need to include social and environmental factors in designs, and attitudestowards including pro-bono and international work in careers. Text response questions askedstudents to reflect on the
andafter students completed the projects to evaluate the content of the workshops. 32 risingjuniors/senior female high school students participated in the RAMP for High School Girlsprogram in the past two years. The survey shows 6.25% students knew some/a lot aboutElectrical Engineering in the entrance survey, while 56.25% of the students knew some/a lotabout Electrical Engineering in the exit survey. 6.25% students thought they knew some/a lotabout Mechanical before the workshop, and 56.25% students thought they knew some/a lot aboutMechanical Engineering after the workshop. Students reflected that they enjoyed the experiencevery much and found the workshops to be extremely helpful in helping them to further identifytheir college interests and
videos, which are publiclyavailable, that include examples of both prohibited behavior and encouraged behavior forindividual assignments. All scenarios now reference examples in calculus, chemistry, and physicscourse to make them more widely applicable across a broader range of science and engineeringdisciplines. The authors offer suggestions on how to utilize the videos along with additionalacademic integrity-related resources, such as syllabus language, a reflection assignment, anassignment cover sheet, and a form prohibiting sharing course-related documents.1. IntroductionAcademic integrity issues are among the most stressful that faculty face, and the statistics onstudent cheating rates and attitudes about cheating are troubling [1][2][3
particular skill after taking theworkshop and to provide feedback about the workshops, the workshop instructors, and their skilldevelopment in their engineering projects course. The data in the surveys is analyzed alongsidequalitative data from individual student reflections and focus groups to determine theeffectiveness of the workshops and how students report subsequently using those skills. Thegoals of this study are to 1) identify if and how students are using the skills developed duringskill-building workshops, 2) determine if and how those skill-building workshops affect studentsself-efficacy levels in engineering, and 3) generate suggestions for improvement to theworkshops to make them more equitable experiences for all students.BackgroundThe
project was LED Dexterity Challenge. A survey wasconducted to collect data right after students completed each workshop to evaluate the content ofthe workshop. 169 girl scouts members participated in the STEM program and took the survey inthe past two years. The survey shows 95% students enjoyed Electrical Engineering workshopactivity while 98% of the students enjoyed Computer Engineering. Students reflected that theywould like to participate more STEM related activities in the future.The program represents part of our university’s ongoing efforts to interest young women inSTEM and is part of the Girl Scouts' “fun with purpose” K-12 curriculum. That initiativeintroduces scouts of every age to STEM to inspire them to embrace and celebrate
References for Study Studies literature. 3: Study Selection Define screening process. Eligible References Coding the literature and Literature Data for 4: Charting the Data record vital information. Analysis 5: Summarize & Report Condense & organize all Identify current literature Results information collected into a report. trends & potential gaps.During the initial phase of the literature review it is crucial to be critically reflective of the process,re-visiting prior stages to ensure that the final review meets the desired scope of
survey responses in light of studentgrades in the course. Each ILS dimension is scored on a (-11, 11) interval describing thespectrum between two extremes. For example, a score of (-11) on the ACT-REFdimension indicates a strong preference for active learning, while a score of (+11)suggests a deeply reflective learner. In this first phase of data analysis, we definemisalignment as the (student) – (instructor) ILS score across all four ILS dimensions. Assuch, we have 440 misalignment scores (4 ILS dimensions for each of 110 students), andall are integers on the interval (-22, 22)[1]. We also have dynamics course grade for eachstudent.Results—ILS MisalignmentWhen we consider all participants from both the faculty (nf = 33) and student (ns = 317
as an Assistant Professor in 2004. From 2008 to 2011, he was a Research Engineer at the Georgia Tech Research Institute where he fabricated scalable multiplexed ion traps for quantum computing applications. Prof. Geddis returned to NSU as an Associate Professor in 2011. c American Society for Engineering Education, 2016 2016 ASEE ConferenceAbstractThis paper presents the initial pilot findings from a multi-year project that is initiating experimentalcentric approaches to learning in electrical engineering courses via the use of an Analog DiscoveryBoard (ADB). The specific audience emphasized in the paper reflects participants in circuits-content courses; the majority
in computational electronics, electromagnetics, energy storage devices, and large scale systems.Dr. Mandoye Ndoye, Tuskegee University c American Society for Engineering Education, 2016 2016 ASEE ConferenceAbstractThis paper presents findings from a multi-year project that is initiating experimental centricapproaches to learning in electrical engineering courses at 13 Historically Black Colleges andUniversities. The tool supporting to experimental student-centered learning at these institutionswas an Analog Discovery Board (ADB). The content or setting of use reflect introductory,circuits, and supporting electrical engineering courses. The students were 1st, 2nd, and 3rd
practice. K-12 science teachers are increasingly pressured to include engineeringdesign in their curriculum; however, there are relatively few engineering-focused professionaldevelopment programs in comparison to those for traditional science and mathematics. [3] [4] Professional development can improve teacher practice,[5] [6] especially if the programsare content specific,[7] inquiry-based, and learner-centered. [8] [9] Successful professionaldevelopment provides teachers with content, pedagogical knowledge, and training; training thatincludes guidance, support, feedback, and time for reflection and planning.[10] [11] In addition,effective professional development approaches include peer support, teacher-developed researchexperiences, and
performance of the group. Data from students not passing a coursewas not included; since they needed to retake the course, assessment data was collected whenthey passed. An initial benchmark was to have 70% of students scoring 3 or 4, indicating that atleast 70% of the students met or exceeded acceptable standards. If less than 70% of studentsscored 3 or 4, overall student performance was below the benchmark, indicating potential forimprovement in that particular Performance Indicator (PI).After obtaining baseline data from an initial evaluation, the 70% benchmark may have beenchanged, if appropriate. As the assessment process evolved, different SOs would then differentbenchmarks to reflect the level of difficulty in the specific assessment tool
program presents STEM Integrated STEM Education MastersEducation as appropriate for all students, not just program.the best and brightest.The faculty in the Integrated STEM program are from the education, biology, chemistry,engineering, computer science, and mathematics programs. The vast majority of the curriculumis delivered online. Courses are listed in Figure 1. There is not a division between content basedcourses and methods courses. Application is stressed in each course. Students reflect upon howwhat they are learning can help improve their own curricula and teaching. Although, somecourses are team taught, the course presented hear is not.The Robotics Engineering CourseThe Robotics Engineering course is
, rather than students; thus reflecting the current research andintervention landscape. The lack of focus on policy reflects a broader trend in the interviewswhereby participants externalize the problem of underrepresentation as located not inundergraduate education.In some ways the small amount of attention paid to policy related to students is understandable.To be fair, I also did not originally think to include policy questions in my interview protocol. Idid so only after one of the project’s advisory board members suggested it. On one hand, thismakes some sense. As the one participant stated, “You can’t have a policy in place to tellsomeone, ‘Don’t make her feel bad.’ That’s just a culture.” Certainly, it is true that “familyfriendly” policies
the results from2012 and 2013 in Figures 1 and 2. Page 26.997.4Figure 1: Overall, students perceived engineering as a respected career that involves designing cool things and helping society. Page 26.997.5 Figure 2: A summary of student associations towards male engineers and creativity.Students who participated in the game project also reflected on their experiences and learning.On average, 85% of students agreed or strongly agreed the game project was creative, and 71%said they enjoy creating games, while 80% enjoy playing games. Interestingly, more
100 students who have done at least one form of engineering internship. Engineering - Internship-Supervisor Evaluation For each of the following performance characteristics please place an “x” in the line that best reflects your experience with this student. Thank you so very much!Attitude/Application to Learning4 Outstanding and extremely enthusiastic3 Interested and industrious2 Average1 IndifferentAbility to Learn4 Learns very quickly3 Above average in learning2 Average1 Slow to learnDependability4 Completely dependable x3 Above average in dependability2 Usually dependable1 Below average in dependabilityWriting Ability4 Consistently clear
dynamics, earthquake engineering, and engineering education.Dr. Debra Fowler, Texas A&M University Dr. Debra Fowler serves as the Director of the Center for Teaching Excellence at Texas A&M University. Following 16 years working in industry she completed a Ph.D. is in Interdisciplinary Engineering with a specific focus on engineering education from Texas A&M University. Her research areas of focus are faculty perspectives and growth through curriculum design and redesign, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Dr. James Michael Kaihatu, Texas A&M University Associate Professor of Civil Engineering at Texas A&M
arguments in the class Individual & team research assignments, culminating in a projectResearch & Inquiry report that includes attention to context and related approaches. Written and oral reflections on the experiences of takingReflection different perspectives, learning from sources, listening to various stakeholders 5Student Learning OutcomesDefining specific and measurable learning outcomes for such
faultystrategy. Usually, their responses only reflect what a client has already seen, known and becomecomfortable with or else the responses are hopelessly vague on the order of: “Give me somethingI’ve never seen before.”The obstacles for innovation in such situations should be obvious. This situation in softwaredesign has its direct analogue in architectural engineering design. The architect or engineerreceives a program with space sizes and relationships, perhaps as well a statement oforganizational goals, and then is expected to turn these parameters into a design concept. Thelarge gap between the demands of basic functionality and the evolution of an artistically unifieddesign response make the conceptual and schematic phases of the design process