than the facilitators.Grant Year 5 TCPAs word spread of the CCoPs, and as other grant-funded faculty development programs ended, facultynot initially involved in the original professional development series asked to become a part of thecommunity. To reflect this change and to create an inviting tone, we altered the name of the CCoPs toTeaching Communities of Practice (TCP). We sent introductory emails to the directors of all 9engineering disciplines (including the two that were not originally involved in the program) to describethe sessions and share the titles of the semester’s sessions. We invited them to share this informationwith their staff and to emphasize the importance of sharing this space to have discussions onevidence-based
administered electronically (Qualtrics XM) to all faculty in the CoE after the firstmodule (pre) and final module (post). The surveys were confidential, voluntary, and IRB-exemptwith identifiers collected only for pre/post survey matching. The complete survey is presented inTable 2, and items were integrated from three sources. First, we developed eight Likert Scalesurvey items associated with the stated learning objectives (Table 1) in each of our five coreworkshop modules. These included reflective questions about classroom practices related tostudent mindset, unconscious bias, and fair assessment of student work. Second, instructor self-confidence with inclusive teaching practices was measured using a modified version of theCulturally Responsive
reflective exercise and public activities designing prototyping testing technical speaking writingFigure. 1 The alignment of the learning outcomes, direct assessment items, and instructional activitiesFinally, instructional activities including designing, prototyping, testing, written and oralcommunication, reflective exercise, as well as lectures. These activities are aligned with thenewly developed learning outcomes and direct assessment plan as shown in Fig. 1
we learn by looking across all our design attempts? Final tests Groups reflect on their design attempts, teacher facilitates a whole class discussion & review comparing across designs. Day 11-12: How do engineers share their ideas through speaking and writing? Design Groups prepare for and engage in the conference, where they share their designs and conference design process with other students and members of the school and greater community. DESIGN BRIEF Goal: Stop pollutants (various sizes of beads, glitter, and oil) in the stream (elevated end of your bin) from entering the drinking reservoir (lowered end of your bin) Criteria: Your system MUST: Constraints: • Filter out as much
solved the problem of lack of housing in earthquake affected areas” or “Caroline did a great job ensuring that light would still be able to reach inside the Ecobrick house”, etc. ● Closure: Have students complete an exit ticket reflection. This activity should show student understanding of listed objectives. ○ What would they change about their design next time? ○ How can Ecobricks affect your own community? Contingency Plan If students are struggling to be inspired, allow them time to research ideas online, as well as look at the 1 00 Under $100: One Hundred Tools for Empowering Global Women book to see the pictures of Ecobricks at work! Additionally, because this project can easily be picked up where
multiple times (n > 3).The codes were developed based on semantic reflections of the explicit content, such assentences that started with “engineering is”. Labels were identified for inferred concepts aboutengineering (e.g. “I am anxious about taking the higher-level math courses required”). Theconcepts then were examined and collated together into broader patterns of meaning. Thesepatterns of meaning were checked against the greater data to refine into specific themes.ResultsStudents’ preconceptions of engineering centered around five key thematic areas: knowledge,perception, impact, method and performance (Figure 1). Students often eluded to contentknowledge that they expected engineers to know. Oftentimes this was more broadly addressed
administrators. Theseperceptions are likely to affect the way e-learning programs are designed and delivered. Inachieving this objective, the study included 100 top-ranked e-learning programs in the U.S.Statements by administrators from these programs were analyzed for content. The analysisreviled that administrators’ perceptions are dominated by features and performance constructs.Factor analysis suggests that constructs reflecting engagement and trust are used to distinguishbetween different programs.Introduction The world is facing swift changes due to forward momentum in the technology ofinformation and communication transmission. With the emergence of computers and internetcommunication, information becomes easy to access. Information and
regardless of the task they are trying to accomplish [3]. According to the Felder-Silvermanmodel, there are multiple dimensions of learning styles. Each of the dimensions consists of twoopposite categories or learning styles: active vs reflective, sensing vs intuitive, visual vs verbal,inductive vs deductive, and sequential vs global [2]. One outcome of these early studies was thedocumentation of the learning styles preferences of undergraduate engineering students. Earlyengineering education research helped in identifying learning style preferences, while attemptingto address the gap between preferred learning styles and actually teaching styles being employedin engineering courses. Table 1 shows initial attempts to align learning styles
. Allgathered in Landsdowne, Virginia from June 21 to 23, 2006 to participate in the Summit.The Summit’s purpose was to articulate an aspirational global vision for the future of civilengineering addressing all levels and facets of the civil engineering community, that is,professional (licensed) civil engineers, non-licensed civil engineers, technologists, andtechnicians. The Summit’s goal reflects the organizers’ and the participants’ preference of choiceover chance. Statesman William Jennings Bryan highlighted those options when he said:“Destiny is not a matter of chance; it is a matter of choice.” Broadly speaking, there are only twofutures for civil engineering around the globe; the one the profession creates for itself or, in thevoid, the one
is the person or group of persons whowould have to act differently if the future state of affairs were to be realized. The owner of aprescriptive need is not the person or persons who would be required to change attitudes orbehaviours. A motivational need is when the owner of the discrepancy perceives the need. Forexample, a TC mandatory safety course is a prescriptive need, whereas a voluntary course onvessel stability reflects a motivational need. The success of a program is exponential when thereis total agreement between prescriptive and motivational needs, or when a program is drivenentirely by motivational needs.Learning OutcomesThe next step, following the program planning model was to determine the learning outcome.The FSSEP learning
skills of USMA facultymembers for the dramatically changing academic workplace of the 21st century.” 10 Theprogram involves monthly small-group discussion sessions, a formative review of classroomteaching, and reflective activities. Participants are provided with: • a pedagogical framework that will provide a basis for planning, implementing, and reflecting on their teaching and learning activities; • a repertoire of skills that will allow participants to operate in a variety of different teaching situations; • the ability to review and assess their teaching critically and revise it appropriately; • techniques for helping learners acquire important discipline-related skills and knowledge; • the ability to
in Table 1.The adopted DCDS model blends the three elements of the Triangulated Learning Model; (1)simulation, (2) construction, (3) connection, the four elements of the Kolb Learning Cycle; (1) Page 12.1193.7concrete experience, (2) reflective observation, (3) abstract conceptualization, and (4) activeexperimentation often used in engineering, with the 5E Learning Cycle; (1) engagement, (2)exploration, (3)explanation, (4) extension, and (5) evaluation, which are often used in scienceeducation. Table 2 shows the alignment of the DCDS rapid-prototyping model with TLM, Kolb,5E Learning cycles with Science as Inquiry from the National Science
as opposed to 7th); this result may reflect the increased exposure of undergraduatesto topics of professional responsibility.Many students do not appear to have internalized the importance of research ethics. Along withan article by Whitbeck on “Responsible Authorship,”12 as of March 2006, the Online EthicsCenter for Engineering and Science presents several essays, including one by Eugene Tarnow 13on authorship status, as well as scenarios and resources, such as the Federal Policy on ResearchMisconduct.14,15 But in a survey of students in a graduate class at the UT Austin’s Department ofCivil Engineering, not one had ever heard of the site or of the Federal Policy. Much less arestudents aware of material on research-paper plagiarism
such a way that makes them seem Reflection irrelevant to everyday life. In our and Self- Assessment curriculum, we borrow from the of Learning principles of service learning, in which the learners are engaged in Figure 3. Eight “best practices” in our approach experiential learning that addresses human and community needs. Engineering students involved in service learning demonstrate a stronger ethic of social and civic
engineering programs have freshman engineering courses designed to introduce studentsto the design process early in their careers. Such courses typically focus on communicationskills, team work, self-evaluation and reflection, systematic approaches to problem solving, andgenerating and considering alternative solutions.1 These are critical engineering skills to masterand provide freshman with a glimpse into their futures as engineers. In addition, successfulexperiences in such courses have been correlated with higher retentions rates.2 However, anintense biomedical engineering design experience at the freshman level is difficult to achievesince most “real world” design experiences require advanced analytical skills and body ofknowledge that is not
temperature sensor and how to build a circuit to condition the signal generated bythe sensor and how to extract useful information from that signal to control another part of thesystem. The benefit of being able to use more realistic experiments in the laboratory also leads tomore comprehensive discussions in the classroom and an overall more integrated experience.Through this approach, students are presented a holistic view of the field of ECE, which moreaccurately reflects real systems, and develop a greater understanding and appreciation of thisinterdependence. Page 11.90.42.4 Design ExperienceThe importance of design experience in an
brain/left brain functions30. That is, each cognitive stylerepresents two opposing extremes, such as impulsivity and reflectivity or field dependent andfield independent31. At the one extreme, impulsive individuals have a tendency to act spontaneously, givingthe first answers that come to mind. At the other extreme, reflective individuals tend to take timeto explore the plausible alternatives to respond to questions and resolve problems32. Fielddependent individuals tend to depend on global perception and demonstrate a need for an“inordinate” amount of concrete referents to work through problems (actual objects, pictures,graphs, diagram, and so on)33. Further, they tend to be holistic and focus on the totalenvironment, giving credit to
Sensors in High School Living Environment Labs: A GK-12 Project1. Introduction In a series of recent op-ed pieces in The New York Times and in his latest book The WorldIs Flat,1 Thomas Friedman points to an urgent need to develop a strong and technologicallytrained workforce to ensure the American leadership in scientific discovery and technologicalinnovation. This call to action has been joined by business and government advisory groups suchas the American Electronics Association,2 the National Innovation Initiative,3 and the NationalAcademy of Engineering;4 and reflected in the remarks delivered by industry captains such asBill Gates at the 2005 National Education Summit on High Schools.5 In a recent letter6 to
documentation, with the over-arching goal ofestablishing a better system for comprehensively tracking improvement items.Systematic tracking of improvements is structured to occur at both the individual classlevel as well as allowing meaningful aggregation at the curriculum level, reflective of theentire program.The objective of this paper is to highlight the usefulness of the thread (outcome linkagebetween specific course goals and sub-areas) as a framework for assessment. This paperdescribes the process used to develop threads and provides an example course goal andoutcome thread for the environmental engineering curriculum within the Department ofCivil and Environmental Engineering. In addition, the paper addressees the subsequentchanges that have
, interest, surprise,contempt, disgust, shame, fear, anger, distress, sadness, and anxiety. Richard Lazarus (ascited in Priesmeyer et al.15) confirmed many of the basic emotions in this list through hisown research and provided much discussion about the interaction of emotions thatdirectly contributed to the interpretation and analysis of emotional dynamics in theEmogram system. An important step in the development of Emogram was the creation ofprecise photographs depicting varying degrees of the eleven basic emotions.The Emogram system provides measures of each of the emotions by combining responsesto low, medium, and extreme expressions of each. It also computes an overall EmotionalQuality (E-Quality) score that reflects the overall emotional
Museum, a children’s science center. Informal learningenvironments, like museums, align well with outreach efforts because they share manygoals: to intrigue, educate, and inspire visitors. Science museums in particular havebecome more conscious of their role as an auxiliary to the education that occurs intraditional classrooms, striving to encourage interest in science10 and to present sciencepolicy issues9 that might not get addressed in the classroom.This exhibit is divided into three parts, reflecting three interrelated fields required tobring a product to market: design, manufacturing, and marketing/business.6,8 Each of thethree parts of the exhibit was designed to emphasize the processes, tools, and careers ofits field, through an
picture of the state of mechanicalengineering education. It was from these schools that the programs discussed in this paper weredrawn as subjects of an even narrower investigation into mechanical engineering designeducation.Our working definition of engineering design was drawn from a recent article in a special issueof the Journal of Engineering Education focused on engineering education research: Engineering design is a systematic, intelligent process in which designers generate, evaluate, and specify concepts for devices, systems, or processes whose form and function achieve clients’ objectives or users’ needs while satisfying a specified set of constraints.3This definition, along with the research perspective it reflects, operates
providestudents a centrally localized gateway to resources appropriate for the MET 102 assignment. Itbegan as a discipline-based directory using headings such as electrical engineering, materialsscience, business information, and chemical engineering. There is an ongoing process of reviewfor this bibliography to reflect new questions recently added to the MET 102 database. Duringthe review process in Spring 2005, a second directory based on questions topics was added.Headings such as engineering drawing/engineering design, tolerances,sizes/measurement/temperature, and fasteners were added. These categories correspond to alarge percentage of questions in the MET 102 database. The disciplines that these question topicsfell under were not always evident to
course surveywas used to obtain student feedback regarding instruction. There are a total of twenty questionsin the survey: the first eighteen questions are based on best practice and cover not onlycurriculum but also classroom and lab facilities; the question 19 and 20 are intended to elicitstudents’ feedback on their overall assessment of the instruction. Students were also encouragedto provide written comments to further improve the teaching practice. Students also rated howwell the course objectives were achieved on a scale of 1 to 5 with 5 being Strongly Agree and 1being Strongly Disagree. Table 1 reflects student feedback regarding access to new, effectivecurriculum modules and labs that more accurately reflect the needs of industry
follow, thus results may beinfluenced due to greater interest in these careers than others. Greater than or equal to 50% of Page 23.735.10respondents over the four-year period believe that government careers integrate concepts ofsustainability. This trend follows for teachers, with the exception of DfE Post 2012 at ASU.Careers in healthcare and marketing/sales fluctuated to the largest degree over the administrationof the surveys. In 2011 healthcare sustainability topics were added as a semester project withinDfE. The increase in healthcare career awareness may be reflected by a result of this inclusion.The authors acknowledge that the
outcomes are addressed by each analysis problem. Obviously thedegree to which an outcome is addressed varies from problem to problem - the table does notattempt to quantify this effect. However, even the qualitative analysis can be useful. Outcomes2 and 4 seem to be least addressed. The apparent lack of coverage of Outcome 2 is a reflection Page 24.18.5of the fact that Table 1 only includes the analysis problems; significant coverage of this outcomewas provided by traditional homework problems. The limited coverage of Outcome 4 is notsurprising since developing problems that cross traditional boundaries is not easy. This wasexacerbated in 2013 due
statistical analysis of their data andconsideration of relevant theory. The course is structured in such a way that students mustdetermine which statistical techniques are appropriate for processing their experimental data. Thecourse is also designed to meet the Writing Intensive requirements of our university, through acombination of individual lab reports, reflections on their ability to write in a technical context,and brief essays on engineering ethics and laboratory safety.Specific course logistics, including the sequence of activities, learning objectives, andconnections to student outcomes in junior- and senior-level courses, are considered here. Directassessment of student performance against specific learning objectives from the past three
multiple perspectives(flexible representations), which facilitate a better understanding of the topic under discussion.This flexibility will be reflected in the students' ability to demonstrate the relationships betweensame elements in different ways along different conceptual contexts or in the ability to formdifferent representations of a same situation depending on the task20. Flexible representationshave three levels of learning: image level, which refers to the initial holistic image of a conceptor a phenomenon; schema level, where people outline images as a result of the search for Page 24.40.3regularities in their experiences; and a
in CAD pedagogy, define designintent as a description of how an object is modeled and also how it should perform once it isaltered 15. They also assert that CAD software records the succession of features used to create amodel, which reflects the user’s opinion of the best approach to accomplish a specific task. Theyfurther state that design intent should be more comprehensive than shapes and sizes of features,but must encompass consideration of manufacturing methods and relationships between features.A student’s ability to accurately model an object correlates with their ability to visualize andassemble the objects cogently.Zhang and Luo state that CAD illustrates design intent through its history, features, parameters,and constraints16
practices, best practices best practices theory, research and best practicesReflection The reflection Reflection is The reflection is Reflection is is not realized done but it does complete and it complete and it or the answers not provide allows identify presents some are not explanatory most elements examples that coherent with elements that of experience demonstrate the responses allow uncover clearly the the experience