there was an LCT. It was a relationship between SFL and codetheory as it was first proposed by Basil Bernstein [15]. LCT represents a further development ofBernstein’s original code theory. A recent instance of collaboration between the LCT and SFL isthe DISKS (Disciplinary, Knowledge and Schooling) Project. The DISKs Project “was anationally-funded, three-year research study” located at the University of Sydney [4]. The aimswere to “analyze the bases of knowledge-building” across a range of secondary school subjectsand “develop pedagogical practices” that might better promote cumulative knowledge-building[4]. Indeed, the studies cited just above also represent examples of that relationship andcollaboration.So what is SFL exactly and why is
teaching achievements have been cited by engineering educators across North America for their excellence.Prof. Naoko Ellis P.Eng., Naoko Ellis is a Professor in the Department of Chemical and Biological Engineering at the University of British Columbia (UBC). She holds a Ph.D. (UBC, 2003); M.E.Sc. (Western, 1993); and a B.Sc. (Hon- ours, Waterloo, 1991). She is a member of the Association of Professional Engineers and Geoscientists of BC. Her expertise lies in the area of multiphase reaction engineering with emphasis on biomass utiliza- tion. Some current projects include: biomass gasification and pyrolysis; CO2 capture, including chemical looping combustion; pyrolysis product utilization; and biofuels. She is also
, Finite Element Analysis, Mechanical Medical Devices Design. Highly interested in Higher Education Curriculum Design, Academic Leadership, and teaching and classroom innovation.Dr. Lili Steiner, Florida International University I design and implement education solutions that are efficient, effective, and scalable. Specifically, I focus on the development of meaningful learning innovation from discovery and design through production and deployment. My research and experience have shown that a full-cycle approach is the most effective way to deliver value. Because of this, I work on full-cycle, full-scale projects. Conceptually, this means that I’m involved in every phase rather than just research and design: I
. Students, who could pick any of the sections based on their course schedule make tworotations during the semester. They spend a total of three weeks in each of the experiential learning facilities(laboratories and other learning environments), and working with a dedicated teaching team to get exposed tovarious project-based approaches in each field of study.Following this model, a set of one-credit courses are also designed to be offered in the second semester,focusing on each particular undergraduate program. Therefore, in their first year, students not only know aboutother programs of study in the school, but also get experience with a deep-dive, program-specific survey courseas a follow-up in their second semester of study. As an added benefit
directly from page 9. This short introductory video to creativity included a quick activity to encourage them to think outside the box. III. Team construction | As part of the class, students were grouped for their team projects in groups of 2-5. While all data for this study was collected on an individual basis, students were instructed to dissect different products than their teammates. IV. Concept Introduction | Students were introduced to the inventive concept they would be brainstorming and discussing with their teammates. For the graduate students, they would be discussing the design of a novel alarm clock for those that have a difficult time waking up
introductory course (CSO) also includes a brief computer history, data representation,binary numbers, speakers from the CS department who share their research, and the studentsexplore their interests in CS by completing a semester project which culminates with a teampresentation.To develop programming problem-solving skills, students practice writing pseudocode and usingflowcharts to solve simple problems which make use of the basic programming constructs, e.g.,sequential, decision, and repetition structures. Programming concepts such as identifiers, datatypes, variables, assignments, arithmetic operations, relational and logical operators, andfunctions are introduced and used by students to complete exercises.3.1 Team-based learningTeam-Based
recognized as essential for spurring positiveattitudes and action [37] and igniting deep personal growth and self-actualization [38], [39], [40].Contextual Awareness (Picture Making)The ability to maintain a mental model of a current situation and then contextualize newsituations was a heavily emphasized behavior observed across the resilience literature. Writingabout cognitive processes and situational awareness related to aviation human factors, Endsley’sdefinition of situational awareness in aviation operating environments provided a foundation tocontext-driven awareness: “The perception of the information in the environment within avolume of time and space, the comprehension of their meaning and the projection of their statusin the near future
is posted in the departmentABET website to share with department community.CMMI Practice 12: Collect Process-Related FeedbackCollect work products, measures, measurement results, and improvement informationderived from planning and performing the process to support the future use andimprovement of the organization’s processes and process assets. This generic practiceprovides a reminder to all organizations and projects to constantly and forever keepimproving the process.Our ABET practiceThe department has made great strides in the assessment, evaluation and implementation ofcontinuous improvement activities.Plan-Do-Check-Act (PDCA) Cycle Applied to Criterion 4 of ABETThe Computer Science Department has been using the CMMI norms diligently
, influence of, and use of published research forconducting routine tasks.Research-to-practice Overall, the current literature on research-to-practice (RTP) is centered on how researchis used in practical settings, the transferring of knowledge from scientists to practitioners, andpinpointing the source of the innovation (Flaspohler, Duffy, Wandersman, Stillman, & Maras,2008; Klein & Sorra, 1996). The emphasis on RTP has been primarily attributed topolicymakers, who fund research and set expectations for scholars leading research projects toevaluate and specify how their projects are relevant and make an impact in practice (Daley &Shinton, 2014). Accordingly, various fields and disciplines (e.g., farming, construction,linguistics
U.S. patents/patent applications and is the recipient of two NSF grants ($800K) and several internal and in-kind grants ($30M). He has received numerous awards and honors including the Schreyer Institute for Teaching Excellence Award, Industrial Engineering and Operations Management Young Researcher Award, School of Engineering Distinguished Award for Excellence in Research, Council of Fellows Faculty Research Award, IBM Vice President Award for Innovation Excel- lence, IBM Lean Recognition Award, Graduate Student Award for Excellence in Research, and Outstand- ing Academic Achievement in Graduate Studies. He was recently named 40 Under 40: Class of 2019 by the Erie Reader. His projects and achievements have been
test anxiety, by gender, race/ethnicity, socioeconomic status, and first- generation status? 2. How are students’ GPAs in science, engineering, mathematics, and STEM overall related to test anxiety? 3. To what extent do gender, race/ethnicity, socioeconomic status, and first-generation status mediate the relationship between GPA and test anxiety?Research MethodsThis study is part of a larger grant project (DUE-1626287, DUE-1626185, and DUE-1626148),which examines how non-cognitive and affective (NCA) factors affect students’ success inengineering. In this research paper, we define student success as academic success through aproxy of grade point average (GPA).PopulationAs part of the larger project, we surveyed a total of n
of writing attitudes (as was the focus of theoriginal, wider research project) and asked participants to upload the personal statement andresearch statement from their winning application package. After cleaning the data forincomplete survey responses and for those who did not upload both documents, a final totalof N=50 participants were represented in the final data sets and corpuses of documents. Thedemographic distribution of the participants is indicated in the table below. Of the 50participants, N= 10 were undergraduates at the time of winning the NSF GRFP, N=24 werefirst-year graduate students, and N=15 were second year graduate students. Table 2: Demographic Information Racial/Ethnic Demographics
days, I try to put reasonable effort into winning academic accolades while remembering the manyaspects that can make them arbitrary and biased. I try to think about it pragmatically-- it is certainlyuseful, functionally, to me to win an award. It will help me have social capital to move on to the nextmore impactful project. I do not need to put the measure of my self worth in the academic accolade. Allacademic accolades come down to the decisions of a set of people, who may be very knowledgeable, butare still fallible. I try to remind myself that I do my work for bigger reasons than my own self-promotion.Any academic accolades are tools that help me do that work, not an end in themselves. 4. Collective Findings: Wisdom from the
engineering students. The survey askedstudents to self identify their gender. This was used to identify how these factors may influenceranking of rapport supportive behaviors. Additionally, this survey asked students both theiracademic program (the discipline within engineering) and their degree progression, in order toidentify how these factors impact such rankings.Based on findings in the literature, and given the scope of this project, the authors anticipate thatthe most effective way to broaden students’ retention in engineering education is throughestablishing rapport between engineering professors and their students. Using the results of thisstudy, we can design interventions aimed at faculty member’s ability to establish positiverapport, which
and Doctorate in Engineering Education from Purdue University. c American Society for Engineering Education, 2020 Student Perception of Mathematical Modeling Before and After Completing a Two Joint Robot Computer Simulation Task (RTP)Abstract Engineers frequently utilize computer simulation as part of their design processes tomodel and understand the behavior of complex systems. Simulation is also an important tool fordeveloping students’ understanding of modeling and strengthening their intuition for problemsolving in complex domains. This project uses a two-joint robot arm problem and accompanyingcomputer simulation to demonstrate to AP BC Calculus
Suggest starting lecture with a brief outline, 3-4 lines. Add headings in the lecture as well. Add a summary or take- away slide at the end or write on the board. Confusion on the course Suggest next lecture reviewing project information and then project using a muddiest-point- minute-paper to identify remaining points of confusion. Suggest a rubric. Students concerned they don’t Point students to learning outcomes. Potentially go over know what the exam will be some high-level review of the course showing how the ideas like are connected and what you consider
students enroll in engineering with littleunderstanding of engineering in general [4], much less the specific fields and subfields therein.Further, engineering students graduate having limited understanding of career options orcommitment to engineering careers [5].Within BME, work has been done to employ instructional strategies to improve introductorystudents’ perceptions of the skills necessary for the engineering profession, specifically withregards to technical skills, professional skills, and project management skills [6]. Similarly, workhas been done to improve introductory BME students’ awareness of broad classifications ofavailable BME job functions (e.g., research, technical sales) [7]. A gap in the BME retention andcareer-decision
research interest are student learning and persistence in higher education. Her current projects explore student motivation and success in STEM disciplines at the undergraduate and professional education levels.Mr. Harrison Douglas Lawson, Michigan State University Graduate Student at Michigan State University pursuing a M.S. in Chemical Engineering. After graduat- ing, I plan to pursue doctoral studies at Carnegie Mellon University. My research focuses are biology and education. After graduating I aspire to continue working with education programs and join a university as teaching faculty.Dr. Mark Urban-Lurain, Michigan State University Mark Urban-Lurain is retired as an Associate Professor and Associate Director for
good options for thisintroductory course. On the other hand, if students do not practice training neural networks, theirknowledge on ML would be rather shallow. Therefore, Excel was selected as the tool for simpleML projects that can demonstrate the training procedures.A simple example is temperature conversion, although it is very easy in conventionalcalculations: y = w x + b , where x and y are the temperatures in Celsius and Fahrenheit, and thetwo constants are w = 1.8 and b = 32. With the approach of ML, a training data set withtemperature pairs in Celsius and Fahrenheit (x, y) are provided, and the weights (w, b) in theneural network will be optimized. A more general neural network is shown in Fig. 3, in thisspecial case only one input
to Datum A, which is Feature 8.Figure 12 shows the output of the GD&T tool. By following these instructions, GD&Tspecifications are put onto the part, which has been demonstrated in Figure 10. Figure 12. The output of the GD&T toolThe course assessmentThe students are given the software to practice GD&T. Figure 13 shows an example of a studentproject. In this project, the students were required to practice GD&T on a cylindrical part withthree fins. The 3D model of the part is displayed in Figure 13 (a). After using the GD&T tool, theGD&T specifications are placed in Figure 13 (b). (a) (b
information on radio propagation.ExperimentalOur experimental apparatus is the same as used in a previous project [4] and consists of aKenwood model TS-590 short-wave receiver, and an end-fed, 100-foot wire antenna strungaround the woods of Old Lyme, Connecticut. The antenna was L-shaped, and oriented in boththe north-south and east-west directions. Data collection was done in October, December andJanuary.Initial benchmark using 2.5 MHz NIST broadcasts: As a benchmark, and to observe the timeinterval when D-layer absorption occurs, we first measured the signal-strength of NIST’s WWVtime/frequency beacons at 2.5 MHZ over a 24-hour period for both October and Decembertimes. For October, sunrise and sunset were 6 A.M. and 5 P.M. respectively and for
controller that simulates white caneinteractions, enabling people with visual impairments to navigate a virtual environment by transferring theircane skills into the virtual world. Canetroller focuses on three types of feedback: physical resistance,vibrotactile feedback; and spatial 3D auditory feedback simulating. The inter-activeness of this technologyallows learners to experience these environments in different ways and with greater richness.The complexity of developing haptic virtual learning simulation systems increases as the subjective contentincreases. In [21], in order to identify the impact of the project – hapTEL (developing and evaluating avirtual learning system within an HE healthcare education setting), two theoretical frameworks
homework problems and answering questions about projects. In addition to helping them with work, the Veterans bring a professionalism to the classroom that the cadets observe and in some cases mimic. There are more than educational benefits to having the Veterans in the classroom. Additionally, the Veterans are not only helping cadets in which they have class in, they are also helping cadets in other class sections. “Veteran Student “For some of the non-veteran students I do feel as if we make an impact on them. We have different backgrounds that we can pull from when doing schoolwork. Those experiences allow us to tell and show how different aspects of our schooling are important and are used in the
subjects [1]. To worsen theissue, the number of students enrolled in engineering disciplines is not increasing and in some casesis decreasing [2] with especially low representation from underrepresented minorities [1] andfemale students [3]. In response to this lack of interest in STEM majors, robotics programs havebeen created specifically to motivate high school students toward STEM careers. The use ofrobotics to perform tasks is captivating [1]. Robotics competitions capture students’ attention withthe practicality of hands-on projects and exciting challenges while increasing students’confidence in STEM topics, such as geometry and physics [4]. This increase in comfort levelwith STEM topics has positively impacted these same students
organisms. 3D printing can lead to betterinteractions between engineers and psychologists, produced standardized techniques that areneeded in the behavioral sciences, and encourage skills which may encourage students to enterthe STEM aspects of psychology.8. AcknowledgmentThe authors would like to acknowledge the Endeavor – Digital Manufacturing Maker Space atOklahoma State University’s College of Engineering, Architecture, and Technology. Thislaboratory was designed to increase undergraduate laboratory and exploratory time forinterdisciplinary, hands-on, and industry-aligned learning. We would also like thank Dr. BradRowland for providing the Endeavor facility for this project and Jon Bramsch and HannahLancaster for designing and printing the Y
University Indianapolis Elizabeth Freije is a Lecturer in the Department of Engineering Technology at Purdue University, Indi- anapolis. She received her BS in Computer Engineering Technology with a minor in Mathematics. She received her Masters in Technology at Purdue University, Indianapolis. She teaches classes in program- ming languages, embedded micro-controllers, mobile devices, and programmable logic controllers.Ms. Mengyuan (Alice) Zhao, Indiana University-Purdue University Indianapolis Mengyuan (Alice) Zhao is the Associate Director of Research and development at IUPUI CyberLab. Her team works on designing, developing and commercializing innovative educational technology tools. Their current project is
underlying factor structures for items across all fourteenmodules through the exploratory factor analysis. A confirmatory factor analysis will thenevaluate the proposed emerging factor structure. The analysis will conclude with a finalizedfactor structure, completing steps four and five in the instrument development process. Futurework past this project will extend to step 6, in which we will work to interview current science,engineering, and mathematics graduate students to ask them to comment on the final surveyinstrument and reflect on what areas regarding to their current mental health experiences aremissing.The ultimate purpose of this work is to create an instrument that measures science, engineeringand mathematics graduate students’ mental
perceptions of the relationship between work [13] [14]Balance and non-work obligations and demandsFinances During An individual's perceptions of his or her financial situation [15] [16]Higher Education during higher education as an undergraduate and/or graduate studentFinancial An individual's perceptions of his or her current financial [16] [17]Responsibilities situation and ability to fulfill obligationsThe scale items used in PEAS were developed specifically for this project. We examined scalesfrom existing surveys that probe academic workplace climates and rejected them based onprincipals of best practice [18] [19]. We found existing scales tended to lack sufficient validityevidence or
English teacher and an educational project manager for seven years. In 2015, he came to the University of Missouri to study educational technology and received his M.Ed. in 2017. He started his doctoral study in the same year. During his master’s and doctoral studies, he worked as a research assistant in the Information Experience Lab and conducted user experience evaluations and usability studies. He also contributed to multiple re- search projects covering online learning, creativity in engineering education, game-based learning, and virtual reality learning environment. American c Society for Engineering Education, 2020 Valued Defiance
University. He has additional appointments in the Jonathan M. Tisch College of Civic Life and the Center for Engineering Education and Outreach at Tufts. His current engineering education research interests focus on community engage- ment, service-based projects and examining whether an entrepreneurial mindset can be used to further engineering education innovations. He also does research on the development of sustainable materials management (SMM) strategies.Dr. Daniel Knight, University of Colorado Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CU’s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in