laboratory components and exercises.Examples of implemented laboratory follows the next section followed by results of a conductedexit survey. The paper concludes by discussing potential planned improvements for futurelaboratory sessions.Lab Description and Implementation The learning objectives outlined for the proposed research is vast and continuallyevolving. Covering all the considered engineering concepts will take multiple laboratorysessions. In order to accommodate GO-CAPS students only a subset of the considered learningobjectives were implemented and include: 1. Understand how resistors are connected in series and parallel on a breadboard. 2. Develop skill in using an ohmmeter, voltmeter and ammeter to measure basic electrical
resourceful, knowledgeable learners, strategic, goal-directed learners, andpurposeful, motivated learners: “A key premise of UDL is that a curriculum should includealternatives to make it accessible and applicable to students with different backgrounds, learningstyles, abilities, and disabilities and to minimize the need for assistive technology” [4]. Thefollowing statements explain each of the three main principles of the UDL framework: ● Principle 1 suggests representing information in multiple ways. For example, including video lectures with built in navigation through slides or captions. ● Principle 2 recommends integrating options for planning and composition. For example, providing varied forms of graphic organizers
students.Cohort BuildingOne of the requirements of the NSF S-STEM Scholarship grant is cohort building. In the firstyear of the award, there were only two students in the program and cohorting was achieved byregular meetings with the program director. In the subsequent years, the group has increased insize and more planned cohorting activities, both in-class and outside-the-class, were developed.To start with, the students were assigned the same academic advisor in order to select classesthey can take together. We will first briefly describe the general process of class selection forengineering freshmen and then the process used for the STEM students to build cohorts. All new students at UM-Dearborn are required to attend orientations and take
Technology ●! Information Graphics ●! Cutting ●! Design Validation through ●! Appropriate Technology ●! Visual Design ●! Milling Calculations ●! Inclusion & AccessibilityProject Management ●! Turning Engineering Algebra ●! Public Participation in Decision ●! Initiating and Planning ●! Grinding ●! Recognizing, Selecting, and Making ●! Scope, Time and Cost ●! Reaming Applying Appropriate Algebraic Careers in Engineering Management
professor at Rowan University. In this role, he helped develop a series of experiments for a freshman engineering course that explored introductory engineering concepts through chocolate manufacturing, and another series of experiments involving dissolvable thin films for a similar course. Alex is also the president of the Syracuse University Chapter of ASEE, and has been working diligently with his executive board to provide seminars and workshops for their fellow graduate students. Alex’s plans upon graduation involve becoming a professor or lecturer, specifically at a primarily undergraduate institution.Ms. Shelby Buffington, Syracuse UniversityDr. James H. Henderson, Syracuse UniversitySally B. Mitchell, Rye High School
engineering practices, 2) crosscutting concepts, and 3) disciplinary core ideas[5]. The science and engineering practices include foundational skills embedded in scienceinstruction, such as asking questions and defining problems, planning and carrying outinvestigations, and engaging in argument from evidence. Crosscutting concepts includeinterrelated themes that may be applied to many scientific disciplines, for example, cause andeffect, system models, and structure and function. Disciplinary core ideas have broad importancein various sciences (e.g., physical, life, Earth) or they may be key organizing concepts in onediscipline [5].With school districts across the nation planning for the implementation of NGSS, there is a needfor well-designed
well-educated and skilled employees in technical areas of national need”. TiPi project providedscholarship support of $8,000 to 75 students ($8,000 × 75 = $600,000). In support of this grant,our university contributed $50,000 after the grant period to ensure that continuing TiPi scholarshad adequate financial support to help them graduate on time. 95% (71 out of 75) of the TiPischolars have been retained, and have either graduated or will soon graduate as per theirindividualized academic plan (IAP). The outcomes from the TiPi project are described in thenext section.VTAB project is funded by a five-year grant from NSF that began in September 2017. In itsprogram solicitation [7], the new goals stated are: (i) to increase the number of low
] methodology begins withthe students completing a detailed step by step cookbook style lab and then allowing students in groupsof two develop lab plans based on the following topics: objective, data to be collected, equipment,procedure, equations required for data reduction, how data is to be presented, and then references.In summary, these papers introduce a traditional step-by-step lab procedure often referred to as“cookbook” style labs and then move to more open-ended labs increasing in complexity and reportingrequirements where the students formulate a problem, select and manipulate the equipment, executethe experiment, and then write a technical lab report. Attempting to build on this crawl-walk-run styleof executing laboratories, the methodology
USB drives. Sincecomputer manufacturers are phasing out optical drives, users now have few options forusing library materials that are formatted on disks of any kind. This “technologicalobsolescence” has prompted the engineering librarians at U-M to investigate how tocontinue providing access to materials that are published on computer disk in a future agewhere computer users will not have the required hardware or software available forreading the disks. Working with the library’s Digital Preservation Librarian, theengineering librarians will determine which of the engineering resources that are publishedin disk format must be preserved, and they will plan for best practices for preservation of,and access to, the selected resources. Only
, EESTo enhance student learning of the subject matter, several writing exercises were included.Informal writing involved a critical review of different stormwater pollution management issuesand current best management practices and a comparison of the alternatives. Free writing wasgiven in class to promote free thinking and thinking through writing. Exploratory writingexercise involved a topical discussion of stormwater treatment process. A formal writingexercise was given in the form of a stormwater pollution prevention plan (SWPPP) assignmentwhich included a peer–review session prior to final grading. A reflective writing exercise wasincluded to summarize learning experiences through classroom and writing activities throughoutthe semester to
, principles, and guidelines will be discussed. Second, an overview of theexperiential education program at NSU and the role of faculty champions will be presented.Third, a case involving the re-design of an engineering graphics course will be shared includinghow an experiential education course qualification form and rubric were used to guide coursedesign and formative evaluation. Finally, next steps will discuss plans for continuousimprovement and refinement of the course design and formative evaluation process.Experiential Theories, Guidelines, and PrinciplesGrounded in the early works of Dewey, Lewin, and Piaget, experiential learning theory hasbecome increasingly popular in higher education. “In its simplest form, experiential learningmeans
students. The new Engineering Plus degree has a core setof required foundational courses in engineering, a multi-year design sequence, and allows forself-defined pathways. The new curriculum also offers three defined degree pathways that havebeen chosen based on an examination of student “fate” data: secondary education, pre-medical,and environmental studies, with additional pathways planned for the near future. The fateanalysis examined the paths of students who were enrolled in an engineering or STEM major inone year and samples their major choice in the following year. This analysis maps the flow ofstudents into and out of the major with demographic slicers to more closely understand these in-migration and out-migration choices.This paper will
program team adapt the EDP course progression from the high school summerprogram into full engineering courses for implementation in high school classrooms. The coursesthat arise from Hk Maker Lab’s curriculum development efforts are to: 1. Enhance student interest in pursuing STEM education and career opportunities; 2. Enhance student STEM self-perception; 3. Develop student engineering design skills. This paper describes the structure and programmatic activities of the curriculum developmenteffort, as well as preliminary assessments and future plans for refinement.PROGRAM COMPONENTSProgram ParticipantsNew York City science, math, and engineering high school teachers are recruited to apply for theEDP curriculum development program
, distributed simulation, adaptive control systems, digital signal processing, and integrat- ing technology into engineering education. He has also been an industry consultant on modeling for strategic planning. Professor Elizandro received the University Distinguished Faculty Award, Texas A&M, Commerce and College of Engineering Brown-Henderson Award at Tennessee Tech University. He served as Governor’s Representative for Highway Safety in Arkansas and member of the National Highway Safety Advisory Commission during the Jimmy Carter presidency. He is also a member of Tau Beta Pi, Alpha Pi Mu, and Upsilon Pi Epsilon honor societies.Dr. David H. Huddleston, Tennessee Technological University David H. Huddleston is a
.59 .27 .033a INI-1: Experimenting (All) 168 4.23 .72 61 4.41 .56 .18 .132b INI-2: Pitching (Paired) 41 3.15 1.20 41 3.23 1.13 .09 .569a INI-2: Pitching (All) 168 3.26 1.08 61 3.39 1.08 .13 .385b INI-3: Resourcing (Paired) 41 4.17 .70 41 3.89 .79 -.28 .061a INI-4: Planning (Paired) 41 3.68 .91 41 3.62 1.09 -.06 .842a INI-4: Planning (All) 167 3.55 .98 61 3.75
practice systems thinking by completing a project that focuses on acurrent issue or need requiring an engineering solution.The course deliverables listed in Table 1 includes: Project Plan and Journal (22.5%),Communication Skills (47.5%) and Technical Merit (30%). Students must take an ill-definedproblem and use a systems engineering approach to implement a proof-of-concept solution. Adetailed description of the weekly deliverables is given elsewhere and will not be described heredue to space limitations [1]. The Critical Design Review (CDR) rubric was also developed tobalance the course weighting between system-level thinking fostered by weekly deliverables andacquired technical skillsets from the MSEE program. The weekly deliverables are guided
outside professionals 3D printers to physically grasp design solutions Interactive smart touch technology to manipulate and interact with media If consideration and careful planning is given to a steel course’s structuring, it is possible tomix these two groups of technology together for engineering education practices. The first area to startwith is what topics in structural steel educations lends itself to nicely technology. Here, behavior anddesign can be simulated on software programs alongside hand calculations. Additionally, designs canbe documented and coordinated with other disciplines (within a building) to look at the larger contextof structures. Potential theorized
is presented first. Following this,approach and methods undertaken to design and develop product-based learning throughout theundergraduate curriculum are presented. Examples of course activities and the flow andintegration across the curriculum are provided. Preliminary results and lessons learned areincluded in the discussion of courses that have been reengineered to date. Other critical elementsto success, such as the project team and infrastructure needs, are also discussed. Finally, asummary is provided along with plans for future work.Related LiteratureA problem-based learning pedagogy of engagement provides a strong foundation for curriculumredesign. Smith, et al. [2], citing additional studies indicating the importance of engagement
-service teachers have with teachingengineering. Verbal persuasion includes encouragement from others as well as coaching. Verbalpersuasion is most effective at increasing self-efficacy when the one doing the persuading is seenas an expert [13]. Exposure to verbal persuasion is also likely to be low for pre-serviceelementary teachers, as engineering design is not a focus of the pre-service curriculum. A majorexception to this, as with mastery experience, would be those in the section of the sciencemethods course at Purdue University that utilizes engineering design. These students activelydesign engineering concepts into science lesson plans with students. This provides masteryexperience while the rest of the course ideally provides verbal
well as the barriers theyperceive to doing so. Results indicated that most elementary teachers support the inclusion ofengineering within the science standards for elementary grades. Teachers describe lack ofpreservice and in-service training, lack of background knowledge, lack of materials, lack of timefor planning and implementing lessons, and lack of administrative support as barriers toimplementing engineering activities within their classrooms.*The views and opinions of the speaker expressed herein do not necessarily state or reflect thoseof the U.S. Government or any agency thereof.Introduction The Next Generation Science Standards (NGSS) incorporated engineering practices intoK-12 science standards [1], and because NGSS calls for
intends to enact change [22].Evaluators use logic models to examine implementation fidelity, when logic models have beendeveloped as part of a program plan [23]. In addition, logic models can be used as a framework,to focus data collection on the specified program activities and expected outcomes, to determineappropriate methods for data collection, and to organize and interpret data in terms of aframework [22]. When no logic model exists, evaluators may develop a logic model to describethe program visually. Logic models can be a useful tool for communicating the nature of aprogram to stakeholders. The use of logic models has been found to contribute to clarity in goals,alignment of activities with goals, communication about the program, and
Curriculum and Instruction (Science Education) from the University of Washington.Ms. Jill Lynn Weber, Center for Research and Learning Jill Weber is a graduate of the University of Nebraska and holds a Bachelor of Science degree in Com- munication Studies and English. She has worked as a Project Manager in Information Technology as well as in the Marketing group at AT&T Wireless, and was a corporate trainer for new hires. Ms. Weber was in charge of managing large cross-company project teams and several large technology projects. In 2005, Ms. Weber completed the University of Washington Certificate in Program Evaluation. Currently, she is the owner of The Center for Research and Learning and has expertise in planning and
who acts as the project mentor. Eachproject mentor works closely with YYYY faculty in designing the project and planning dailyactivities related to project completion.Implementation of SEI from 2009 to 2016 has been successful in recruiting underrepresentedminorities and female students into the program, with more than 50% of participants beingwomen, and over 70% from underrepresented minority groups. Results of SEI implementationshow that the program has been successful in promoting interest in engineering among programparticipants, increasing their self-efficacy in studying engineering, and enhancing success amongthose who have decided to pursue an engineering degree. A follow-up survey given to thegraduates of the first three years of the
of our larger study.2. Prior Literature on Choosing Engineering in the Academy vs. IndustryFor nearly 60 years, the National Science Foundation (NSF) has tracked information about USAPhD recipients, their post-graduate plans, and their employment experiences well beyondgraduation. At least in the USA, most PhDs work in academia, but this number is on the decline[10]. The tracking of this information by the NSF has led some researchers to ask what makesscientists and engineers choose the kinds of jobs they do. Yet, the research on self-selection intoan academic versus industry career in engineering is limited. To begin, almost all of it isquantitative in nature, much of it focuses on STEM PhDs in general, and almost all of it isperformed on
materials and methods to offer support for student success. Dr. Burkett is a senior member of IEEE, a Fellow of the AVS: Science and Technology Society, and a member of the ASEE Women in Engineering Division.Sally Gerster, University of Colorado Sally Gerster is a senior in Architectural Engineering at the University of Colorado Boulder and plans to graduate with a combined BS/MS degree in May 2019. She studied abroad at the National University of Singapore for one semester. Sally has been a part of Bridges to Prosperity - CU Chapter, and helped build a footbridge in the Andes of Bolivia with a team of CU students in summer 2016. In summer 2017 she participated in UA’s REU Site: Innovative Engineering Using Renewable
the Next GenerationScience Standards (NGSS) (see Figure 1).Program PilotsThe Champaign, Illinois pilot was led by the program director (and program founder, Mr. Greer)and the program co-founder (Dr. Henderson) who developed lesson plans, led hands-onactivities, and trained program staff (undergraduate and graduate engineering students). Lessonsemphasized the engineering design process (Haik, Sivaloganathan, & Shahin, 2015). Studentswere given open-ended scenarios and were tasked to identify and research problems, developpossible solutions, and then plan, test and improve their designed solutions.The Houston pilot, initiated in the spring of 2017, combined the best practices learned from theearlier pilot and added a partnership with the
• Piloting two sections of a flipped classroom approach of information literacy instruction for deployment across all sections, traditional and online. This pilot included: o Creating a series of information literacy videos on understanding important engineering subjects such as scholarly and professional literature, standards, and patents o Implementing active learning curriculum focused on information literacy via 5 25-minute sessions strategically planned throughout the semester o Developing an assessment instrument to gauge the impacts on student learning outcomes of flipped versus traditional one-shot instruction.The task was conceptualized broadly as
developed by those students will be limited. Additionally, particular topics both at thebeginning and end of a university degree may open pathways for underrepresented groups likewomen to enter engineering at the university and in the workforce.In the prior study, “Sustainability and Gender in Engineering,” by Klotz and colleagues [20] of6,772 students from across the U.S., students who chose engineering at the beginning ofuniversity, both male and female, were less likely than students who planned to pursue non-engineering degrees to have outcome expectations related to disease, poverty, and opportunitiesfor underrepresented groups. However, for many of the outcome expectations that engineeringstudents were less interested (i.e., disease, poverty
-source feedback, professional grade trainingtools, and a specially designed development plan, these engineers begin practicing thecompetencies possessed by high-performing, professional engineers.This paper is comprised of two main components. First is a description of the program and therating format was specially designed to reduce common sources of rater-error in subjectivemeasurement. We discuss how behaviorally anchored rating scales (BARS) can provide a sharedframe of reference among raters and how we constructed BARS for each of our ninecompetencies. Next, our discussion presents the initial feedback results in two lights. The firstconsults the data as a needs assessment of the piloted cohort. By looking at the competencies ofhighest and
]. Spohrer [3] analyzed programming errors using a cognitive sciencemodel. Spohrer used a Goal And Plan tree to trace the root causes of errors, which defined plans(steps/procedures) as the techniques to solve the problem, and the goals as the desired result toachieve or accomplish. Spohrer found that once there is a mismatch between a plan and a goal,an error occurs. Yarmish used a similar approach but added more components to a plan [4].Other work suggests that errors occur due to inaccurate mental models about program state[3][4][7][13][14]. Horstmann [5] presents a list of common errors when introducing C++programming concepts and constructs. Horstmann presents common errors in each chapter,which may help students avoid such errors. Oualline [6