thatengineering programs that wish to retain highly socially motivated students should explore theinfusion of social context into engineering courses beyond the first year, as well as the requiredbalance of technical and non-technical coursework in their curriculum and opportunities forcourse choice.BackgroundEngineering has an important role to play in addressing a number of important challenges facingsociety and the world.1-3 These challenges embrace the interface between humans andtechnology, and addressing these issues will require creative, systems-level thinking. A diversityof engineering students with a range of talents and attributes will be needed to meet the demandsof society.4 This includes students who are motivated toward engineering due to
these cone shapes, other aspects of FTP arerepresented: density and the effect of the future on the present. Density refers to the number offuture goals one has in the future, represented by the sharpness of the cone shape 6,13. The effectof the future on the present is how one perceives their actions in the present, such as choosing amajor or taking a specific class, as influenced by their personal future goals. Effect of future onpresent is a form of connectedness, the tendency to cognitively connect the present and thefuture6,8. Figure 1: An individual’s FTP can be represented as a cone shape on three axes: Perceived Instrumentality, Future Time Attitude, and Extension15.Also situated within FTP literature is the
surveys were administered prior to and after this one semester course and focused on: (1)a priori knowledge and experience of the other group’s subject area; (2) effect ofinterdisciplinary project on interest in other group’s subject area; and (3) perceptions of othergroup’s profession and/or their skills. Survey results showed that neither ME nor ECE students had a prior exposure to theother discipline. After completing the course, ME students perceived that they knew more aboutchild development, play, and the design of children’s toys, and ECE students reported they betterunderstood the types of engineering disciplines. Interesting, ECE students less positively ratedtheir ME counterparts post versus pre-course in the following areas
two different hypotheses being tested are: the difference in the means for the final exam scores for the two populations, and the difference in the means for the overall course scores for the two populations. Null hypothesis 1: Ho: µ final exam score 2015F = µ final exam score 2016F Null hypothesis 2: Ho: µ overall class score 2015F = µ overall class score 2016FThe samples are assumed to be independent, and normally distributed. The variance forboth populations is unknown, but we’ve pooled the sample variances to estimate thepopulation parameter. We’ll assume that 𝜎!! = 𝜎!! , and select 𝛼 = 0.05.Given 𝑛! = 117 and 𝑛! = 144, the degrees of freedom is 117 + 144 − 2 = 259.With 𝛼 2 = 0.025, the critical 𝑡 statistic is
experimental groups each completed four skills checks centered around the following topics: 1. Building a circuit on a breadboard, using a digital multimeter, and using a DC power supply. 2. Simulating a circuit in SPICE. 3. Solving for circuit values in MATLAB. 4. Using a function generator to produce a disturbance signal and an oscilloscope to measure signal values.Skills checks are scheduled to take place two to three lab periods after a new skill is introduced,requiring students to retain and recall abilities that they have previously learned. Skills checksare typically administered towards the beginning of a laboratory period, after the laboratoryassignment is introduced. A station is set up with equipment necessary to
. Future work implies the application of a quantitativequestionnaire to discuss national and international implications.Introduction Over the last two decades, ABET has become a major change agent in engineeringeducation worldwide. In 1996, ABET’s Board of Directors shifted its emphasis on outcomesrather than inputs by adopting the widely known accreditation criteria EC2000. Criterion 3specified five technical and six professional skills that engineering graduates must face thechallenge of international competitiveness.1 Lattuca, Terenzini and Volkwein (2006) documentedthe impact of the engineering criteria EC2000 on engineering programs2. Schools of Engineeringworldwide have modified their curriculums to reinforce career preparation and
, andinterest21.McCord and Matusovich compiled motivation-related constructs from many sources whendeveloping an instrument for motivation and conceptual change in thermodynamics22. Table 1shows a selection from their compilation of constructs that relate to capstone projects.Table 1. Constructs for Motivation from [22]Construct Survey InstrumentExtrinsic motivation Motivated Strategies for Learning Questionnaire (MSLQ)Intrinsic motivation Motivated Strategies for Learning Questionnaire (MSLQ)Attainment Intrinsic Motivation Inventory (IMI)Utility Intrinsic Motivation Inventory (IMI)Self-Efficacy Motivated Strategies for Learning Questionnaire (MSLQ
effective, efficient, and inclusive. c American Society for Engineering Education, 2017 Easing Engineering Transfer Students’ Transitions: Recommendations from Students Who Successfully Navigated the Transfer PathwayI. Introduction In 2012, the President’s Council of Advisors on Science and Technology documented theneed to prepare more than 1 million additional STEM professionals in the U.S. workforce overthe next decade. To meet this demand, leveraging the transfer pathway between two-year andfour year institutions is an approach that has garnered increased interest. In addition to adoptingguided pathways model to move students logistically from one
; systems, and digital signal processing, are considered by students to be difficult andabstract. Software packages can provide examples and demonstrations to help students understand this challengingcontent. Several textbooks (e.g., [1], [2], [3]) incorporate modern software tools such as Matlab, Mathcad andWFilter (WFilter is a filter design tool included with textbook in Reference [3]). These texts are used in junior/seniorlevel courses as well as first year graduate courses. Examples using simulations can aid student visualization of theabstract concepts, but they also need to have an understanding of underlying mathematical concepts. Of course moststudents start using some of these tools in their earlier introductory courses and can apply them
engineering faculties, the programsthat are joint or cross-listed with business schools have been labelled them with an asterisk in ourresults. IV. ResultsBelow are the synthesized results of the survey. Table 1 shows the growth of entrepreneurshipcourses and degrees at engineering faculties across Canada since beginning of the 21st century.We compare in it the data obtained from the last systematic map in 1998/1999 to the data wehave collected for the academic year 2016/2017, and extend it by showing the current landscapeof the entrepreneurial ecosystem at Canadian engineering faculties. We define innovation spaceas any physical space dedicated to promote and encourage innovation, such as innovation hubs,makerspaces, centres for prototyping
largest crop grown byfarmers in the Midwest according to USDA (2016). In addition to food production, corn grain isused for ethanol production, feeding livestock, and the distillers grains from the ethanol plantsare high value feed for the beef cattle industry. The FEW Nexus is briefly illustrated in Figure 1.The system as a whole interacts with the environment through the use of water, energy, andemission associated with the various processes in the system. Teaching students how thesesystems work and how they are connected will greatly influence upcoming generations ofagricultural producers and consumers. Being mindful of the larger system will encouragesustainable practices that are more aware of the environmental impacts of their decisions
many years and originally directed at the parents. The shooter had a history of reinforcement for violent actions. The incident was probably caused by a lack, or absence, of reinforcement at the present time. The shooting incident was a result of reasoned, if not rational decision making. The individual simply decided that people were the cause for his or her misery.Motivation may be defined as: “The willingness to exert high levels of energy towardorganizational goals, conditioned by the effort’s ability to satisfy some individual need” (1, p. 50).What motivates individuals to produce? Why is it that what seems to motivate one person doesnot necessarily motivate another? Does our motivation change over time? There are
, supported by findings from their developedmodel. Lastly, students were asked to individually answer a set of post-activity questions abouthip implant design to reinforce important concepts from the project. All lectures and assessmentswere identical between the two class sections.In order to assess student motivation after completing the activity, students were administered apost-activity online survey (using the Qualtrics platform). A set of 12 questions were designedusing a Likert scale to assess motivation in five categories: competence, autonomy, purpose,community, and appreciation of the assignment (Figure 1). Students were asked to complete thesame set of survey questions when considering both the hip implant design MEA and theirstandard
recently introduced to engineeringtechnology, manufacturing engineering technology, and mechanical engineering technologymajors in fall 2016. The reason for the new course was based on feedback from a traditionalgateway course and input from industrial partners. Essentially, the new course consists of threemodules. Module 1 focused on general (not dependent on discipline) critical skill sets requiredfor success in academe and industry, Module 2 emphasized mechanical and manufacturingengineering technology skills, and Module 3 dealt with basic electrical circuits and electronics.Background InformationDuring the summer of 2016, several instructors from different university campuses met todevelop the learning outcomes and objectives for a 100-level
agencies. As one of the 23 campuseswithin the CSU system, SJSU is a leader in high-quality, accessible, student-focused highereducation.The extraordinary diversity of Santa Clara County and the City of San José provide the primarycontext for our student body. The 1.8 million residents of Santa Clara County are 33% white,35% Asian, 27% Latino/a, and 3% African American. The county has had a pluralist majority formany years, with more Asian and Latino/a immigrants than any other Bay Area county. The vastmajority (70%) of SJSU’s incoming freshmen class comes from the greater San Francisco BayArea; this brings us a diverse student body each academic year. Table 1. Fall 2015 Student Characteristics of SJSU. Total Enrollment of 32,773 students (82
significantdifferences in visualization skills improvement for the two course offering modalities. Table 1. Topics covered on each one of the offered courses. Institution A ‐ WI B ‐ MI Orthographic Projections S.M. Concepts Auxiliary Views Constructive Solid Geometry Section Views Constraints Dimensioning Orthographic Projections S.M. Concepts Auxiliary Views Constructive Solid Geometry Section
influence in society. Thus it is our obligationto graduate students who can question, think, and analyze for themselves, and are scientificallyand technically literate. Recognizing this, most universities require non-STEM students to takeat least one STEM class.The American Society for Engineering Education concurs by stating that “Engineering collegesshould accept responsibility for providing technical literacy programs to liberal arts students.”[1]. And the NAE report, “Educating the Engineer of 2020” [2] states: “It is in the enlightenedself-interest of engineering schools to help the public understand what engineers do and the rolethat engineering plays in ensuring their quality of life. Moreover, a country weak intechnological literacy will
exercises affectedtheir understanding of the laboratory material and on how the activities could be changed in thefuture to enhance their learning experience. These open-ended questions provided further insightinto the effectiveness of the pre-laboratory exercises.Results and DiscussionA total of eight students were enrolled in the course in the Fall of 2016, and five studentscompleted the survey. Preliminary results from the survey are shown in Figure 1. Given thesmall sample size, more data will need to be collected in future offerings of the course to drawdefinite conclusions about the impact of the pre-laboratory exercises on student learning.However, these preliminary results provide some initial insight into the effectiveness of
City public schools. He received NYU Tandon’s 2002, 2008, 2011, and 2014 Jacobs Excellence in Education Award, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distin- guished Award for Excellence in the category Inspiration through Leadership. Moreover, he is a recipient of 2014-2015 University Distinguished Teaching Award at NYU. His scholarly activities have included 3 edited books, 8 chapters in edited books, 1 book review, 59 journal articles, and 133 conference pa- pers. He has mentored 1 B.S., 21 M.S., and 4 Ph.D. thesis students; 38 undergraduate research students and 11 undergraduate senior design project teams; over 400 K-12 teachers and 100 high school student
SystemsTable 1: Basic structure of the two course EE sequence for non-EE majorsAs shown in Table 1, the second EE course both builds off the previous course, as well asintroducing topics quite separate from a traditional electrical or electronics topic sequence. Thereason the first course is kept somewhat generic with light coverage of three distinct topics(circuits, electronics, digital systems) is because it serves a wide population of non-EE students.The second course in the sequence is almost exclusively manufacturing students who rely on thecourse to prepare them both for their capstone project and for a subsequent robotics elective.Previous offerings (Spring 2015 and Spring 2014) of EE 352 followed a traditional structure of 3hours of lecture
to improve their lab notebooks. This feedback was verbal when the notebooks were paper-based (autumn 2015), whereas the ELN format allowed for electronic feedback to be providedvia rubrics the instructors created and imbedded within each student ELN (autumn 2016). Anexample of a student feedback rubric is shown in Table 1. Students were expected to usefeedback to improve documentation in their entire notebook (ELN format) or in future entries(paper-based format). At the end of the course, students submitted their finalized paper-based orelectronic lab notebook for summative assessment. Students could earn a total of 20 points basedon the “points possible” scores associated with the student feedback rubric, as shown in Table 1.Table 1
sample of 123 students from grades 3-5classrooms that had implemented engineering thematic units. We examined the internalconsistency reliability of items, and conducted an Exploratory Factor Analysis (EFA) to examinethe relationships between items. Based on this analysis, we dropped several items that performedparticularly poorly.Data CollectionAs part of a large-scale efficacy study of an elementary engineering curriculum, we collectedpost-surveys of students’ interests in and attitudes towards engineering. Over two years, wecollected surveys from almost 11,000 students in grades 3, 4, and 5. Students spanned a widerange of demographic groups, from rural, urban, and suburban areas of several geographicallynon-contiguous states. See Table 1 for
follow a pre-determinedorder. Figure 1. Card templates available to students on iPad tablets during an engineering design taskand an example of a student-produced Test card. We view the notebook cards as one piece of distributed scaffolding, along with classroomstructures and practices. Ideally the cards are used as part of a sequence that begins with theintroduction and discussion of a “mentor text” notebook comprised of cards that documentanother student’s design
ideally improved, designs. “Design failure” occurs when designs fail tomeet one or more criteria, and is an inherent part of the EDP. Design failure enables engineers tofocus their improvement efforts on those aspects of the design that fail to meet criteria. In otherwords, engineers expect to learn from design failures.1 A quote that captures the importance of failure within engineering design is from HenryPetroski: Every successful design is the anticipation and obviation of failure, every new failure – no matter how seemingly benign – presents a further means towards a fuller understanding of how to achieve a fuller success.2The idea here is that design failures are opportunities to learn how to improve designs in
microcontroller. In the 1990s and early2000, these courses were based on an 8-bit microcontroller such as Intel 8051, PIC18, or AVR.During this period, the following three technological changes made a significant impact on thefield of Embedded System. 1) The embedded devices such as cell phone, smart-phone, andtablets became household devices, and these are battery-operated devices. Thus the issue ofpower consumption became very critical. 2) The embedded systems (such as a digital camera)started becoming more complex and 8-bit microcontrollers were falling short on the demands ofthese systems, 3) Because of the advancement in the fabrication technology, the price differencein fabricating 32-bit vs. 8-bit chips became relatively insignificant. The ARM
fluid power andstudent practice of entrepreneurial skills.IntroductionAt Lawrence Technological University (Lawrence Tech), faculty are engaged in a multiyearprocess to incorporate active and collaborative learning (ACL), problem-based learning (PBL),and entrepreneurially minded learning (EML) into the engineering curriculum [1, 2, 3]. Activelearning requires students to actively discuss issues or work problems in the classroom, ratherthan listening passively to a lecture. If students informally assist one another in this process, thetechnique is deemed collaborative learning [4]. A related approach, problem-based learning,introduces engaging real-world problems for students to solve, usually as part of a group [5]. Anew twist on problem-based
developmentsand assessments, we describe the framework for the minor development and implementation.Several courses in our program were either re-developed or improved based on the dual demandfrom industry and students. Traditional courses, such Thermodynamics or Heat Transfer weregiven a focus on renewable energy conversion systems on learning modules enhanced byexperimental activities, while new courses geared towards energy management or renewableenergy were developed. Students ’assessments and feedback clearly showed that this change wasa success, ranking these courses consistently above 3.8 out of 5 on a Likert scale [1]. Studentschose capstone projects ‘topics preponderantly from the same industrial areas, clearly showingthe interest in green
energy projects.Materials presented herein may serve as template for other instructors considering offeringsimilar courses, and their feedback is acknowledged and appreciated by the authors.1. Introduction, Project Goals, Aims and ObjectivesMajor challenges facing our society, such as energy, water, environment or health have neverbeen more prominent than they are today1-3. Engineers and educators, as problem solvers need toaddress these challenges in sustainable ways. Engineering practice and education are changing astechnology, social expectations and conditions are changing too. Students have the responsibilityand opportunity to continue improving our life while minimizing or even reversing the negativeindustrial society environmental impacts
authors will provide a review ofseveral representative design processes from various disciplines to familiarize the reader with thesimilarities, differences, and notable distinctions among the various processes.In architecture and the built environment, the design process follows standard steps to align with thebuilding industry. The AIA (American Institute of Architects)7 defines the design process in terms ofbasic services during the following phases: 1. Schematic Design (SD) 2. Design Development (DD) 3. Construction Document (CD) 4. Bid or Negotiation (BN) 5. Construction Administration (CA)Industrial and product design follow similar paths in a more formalized process model. A model fromMilton & Rodgers8 presents