the winter of 2019. Thedata were collected using semi-structured interviews lasting an average of 41 minutes (rangingfrom 30 to 57 minutes). Since this is a polit study, we plan to continue collecting data from othermentees in the program.Interview questions The interview protocol included 15 open-ended questions that the authors developed tocapture how P-E fit affects mentees’ self-efficacy in teaching STEM in elementary schools.Probing questions were also asked. The interviews began with questions pertaining to generalmentoring experiences. For example, “What have you improved the most since the beginning ofthe mentoring program?” Questions continued by asking about the interviewee’s experiences ofhow often they interact with their
“correct” answer.Additionally, it could be interesting to compare student achievement using CBL to that ofstudents in a flipped classroom with a traditional assessment timeline. While the author doeshave some videos that students watch outside of class to leave more class time for problemsolving, the author does not have immediate plans to completely flip the course.ConclusionsCBL clearly is not a good option for all classes. However, for a class like Thermodynamicswhere fundamental topics come first followed by more complex applications later in thesemester, CBL can help students achieve the fundamental understanding that they need to besuccessful in the course. And that fundamental knowledge is important for their success asengineers upon
teaching responsibilities,thereby not effectively influencing the undergraduate population as a junior female faculty with amore recurring undergraduate teaching assignment. The opportunity for a university to report atruer representation of the engagement with female faculty is valuable to recruitment of femalestudents and may possibly be attractive to other minority factions. A series of 10 undergraduateengineering programs were reviewed at a single institute to compare the percentage of femalefaculty to an “engagement” percentage.Literature ReviewSTEM Diversity initiatives and recruitment plans all over the world have increased the numberof women choosing to pursue a career, and therefore education, in STEM topics. Universities arereporting
Environments on Learning Performance.” Systems Research andBehavioral Science, vol. 31, no. 3, Wiley Periodicals Inc., May 2014, pp. 471–82[8] Alquraan, Mahmoud. “Methods of Assessing Students’ Learning in Higher Education.”Education, Business and Society: Contemporary Middle Eastern Issues, vol. 5, no. 2,Emerald Group Publishing Limited, Apr. 2012, pp. 124–33[9] Petto, Andrew J. “Technology Meets Pedagogy: Comparing Classroom ResponseSystems.(RESEARCH AND TEACHING).” Journal of College Science Teaching, vol. 48,no. 4, National Science Teachers Association, Mar. 2019, pp. 55–63[10] Muñoz, Marco A., and Dena H. Dossett. “Multiple Measures of TeachingEffectiveness: Classroom Observations and Student Surveys as Predictors of StudentLearning.” Planning
Paper ID #30493Improving the Engineering Pipeline Through University &Community-Developed Museum- Based Educational KitsDr. Stacey V Freeman, Boston University Dr. Stacey Freeman is the Director of National Outreach for the College of Engineering at Boston Uni- versity. In this role, she is responsible for planning, developing, and implementing outreach and diversity programs and initiatives to promote Engineering and increase the K-12 pipeline for women and underrep- resented minority students. Specifically, she supervises staff and students to sustain and develop innova- tive and cutting edge approaches to K-12 STEM
college level and 13 different high school courses in mathematics and science. She has worked with teacher professional development for over 20 years, and served as mathematics curriculum coordinator for 8 years. She works with teachers from all corners of Texas with teacher quality grants, including a number of teachers in the juvenile justice schools.Devyn Chae RiceRayan Tejani, Allen Academy Rayan Tejani is a high school senior, taking AP Calculus BC and planning to major in engineering in college beginning Fall 2020. He is interested in engineering education and entrepreneurship. Currently, he’s working with a Texas A&M University professor on an innovative device and possible patent. He is also the
Comparison. Figure 2. Math 108 Performance ComparisonFigure 3. Math 110 Performance Comparison Figure 4. Math 207 Performance ComparisonThe smallest difference between the traditional delivery and the flipped delivery was observed forMath 110. This could be because the students of the traditional delivery class were provided accessto some of the learning videos that were being developed for the planned flipped delivery of theclass. However, a large increase in the passing rate with A, B, and C letter grades (33% in atraditional Fall 2017, 44% in a flipped Fall 2018, and 57% in flipped Spring 2019) was observedin Math 107. And in Math 108 course even a larger increase in the passing rate (30% in a traditionalFall 2018, 60% in a flipped Fall
mentoring, tutor- ing, student athlete academic support, internships, student academic centers, and transfer students. Karen was the inaugural Coordinator of the Transfer Student living learning community created to support new transfer students, as part of this graduate assistant role. She holds a B.S. in Business Administration and a Master’s in Public Administration from Southern Illinois University at Edwardsville, IL. Karen previously was employed for over twenty years in the career areas of regional planning, economic development, pub- lic relations, and community engagement. She worked for Virginia Tech in the College of Engineering c American Society for Engineering Education, 2020
plan in the Industrial Engineering M.S. program.We conducted a survey with students who had not started their research project and received 50responses. Less than 25% of the students ever heard that there are standards for materialsselections and testing, while only 15% of the students heard about ASTM or ISO standards withonly 5% of the students know how to use or ever used the engineering standards. Base on thefeedback from students, it is needed to integrate standards and standardization training through aseries of courses in the Industrial Engineering M.S. program to strengthen students’understanding and knowledge. In this paper, the authors introduce new course modules andlessons learned during the process of integrating manufacturing
homework, with quickfeedback. A final hurdle was that this was the author’s first time teaching Vibrations. Therefore,it was necessary to prioritize lesson plan preparation over delivery logistics. This precluded timeintensive efforts such as learning complicated software or prerecording lectures in an instructionallab environment.Mastery learning (or learner-centric) techniques introduced by Bloom in the 1970s and expandedby researchers over the last half century have an established track record for enhancing studentlearning.1–3 In particular, periodic formative assignments are necessary and should be designed sothat students reflect on mistakes and adjust their learning efforts as needed. Within the Vibrationscourse, the mechanisms for formative
knowledge, i.e., brainstorming is the generation of ideas.Then it can be procedural knowledge, for example, how one may use Post-It notes and employ aset of guidelines for how to brainstorm. It can then culminate in the strategic use of the designprocess to mindfully navigate design process steps in an economic, planned, and purposefulmanner more akin to an expert. The affordances of the design process as a learning guidethrough this cognitive development can be mapped to a spectrum of varying types andrepresentations of individual students’ design process understandings. Through repeated practicein courses across curricula, one can discern the evolution of one’s application of knowledge andskills in this cognitive apprenticeship mode. It makes
participating in the next iteration of the LTA vehicledesign within the capstone sequence, with increasing interest and plans to open the competitionto outside participants.Assessment and student feedbackThe assessment procedure for the entire capstone course sequence incorporates a combination ofindividual and team assignments that undergo peer and/or instructor evaluation. The assessmentprocess is outlined in [10], and results for the LTA teams during the 2019-20 academic yearindicate excellent achievement of the course learning objectives, with both teams achievingcourse grade averages of A. However, this assessment of the course learning outcomes does notreflect the instructor observations and continuous informal student feedback offered
Byrnes is a student at Harvey Mudd College, currently pursuing a BS in Mathematics. Ellie has an interest in doing work in STEM education and expects to graduate from in May of 2021.Dr. Laura Palucki Blake, Harvey Mudd College Laura Palucki Blake is the AVP for Institutional Research and Effectiveness at Harvey Mudd College, where her primary role is to coordinate data collection, interpretation and dissemination to support teach- ing and learning, planning and decision-making across the college.Matthew Spencer, Harvey Mudd College Matthew Spencer is an assistant professor at Harvey Mudd College. His research interests include experi- ential and hands-on learning, and integrating mechanical, chemical and quantum devices
lecture bybeing able to think through the question, come up with ideas, and reason out how to prove that thestatement is true.The instructor has used this innovative and exciting lecture during the fall 2018 and fall 2019semesters and at this time he has not performed any formal assessment; however, there has beenpositive feedback from the students. The instructor is planning on performing an assessmentduring the fall 2020 semester to evaluate if this method of presenting the material enhances theability of students to retain and understand the mechanics behind the behavior of reinforcedconcrete beams.References[1] A. Aghayere, Reinforced Concrete Design, Upper Saddle River, NJ: Pearson, 2019.[2] ACI Committee 318, "Building Code Requirements for
2010, he was a Post-doctoral Researcher at the Northwestern University, Evanston, IL. From 2010 to 2015, he was a Senior Research and Development Scientist at UtopiaCompression Corporation. He was the Principal Investigator for a number of research projects on sense-and-avoid, cooperative target tracking, and target handoff in GPS-denied environments. He has published over 70 peer-reviewed journal and conference papers related to control and robotics and a research monograph ”Cooperative control design: a systematic passivity-based approach” in Springer. He holds one patent on monocular passive ranging. His research interests include multi-agent systems, nonlinear estimation and sensor fusion, path planning
build what that object would look like rotated similarly to the firstpair of objects. Completion of this room would warp them into the next room to continue theactivity. See Figure 3 for an overview of a rotation puzzle room.Figure 3. Overview of rotation puzzle room In order to train students in two dimensional to three-dimensional spatial reasoning, weset up “rooms” where students saw a 2d representation of an object on the “wall”. The “map,” soto speak, showed them where to place blocks, how many to stack on each space, and which sidesof the object were up, down, left, and right. Students obtained blocks and created the object in 3dspace following the plan they observed on the wall, although in harder challenges they wererequired to
Paper ID #28846Multi Institutional Collaboration in Additive Manufacturing: LessonsLearnedMichael Littrell, Tennessee Tech University Michael Littrell is a graduate research and teaching assistant at Tennessee Tech University. He is pursuing a PhD in Exceptional Learning with an Emphasis in Program Planning and Evaluation. He is interested in quantitative research methodology in education, student assessment, and applied statistics. Michael Littrell has conducted research and evaluation of a wide range of education and non-education focused programs.Dr. George Chitiyo, Tennessee Tech University George Chitiyo is a
include significant numbers of students who are first-in-family to enter college,veterans, Hispanic, and are from other nontraditional and underserved populations, gain exposureto a state-of-the-art characterization system and hone the skills to design experiments, analyzelarge data sets, develop pre- and post-image processing techniques, and apply and refine mathand programming skills.The future plans of this project include connecting with more industries such as pharmaceuticaland solid state electronics companies, and exploring additional real world problems that could besolved by using the FTIR Spectroscopic Imaging technique. Undergraduate and graduatestudents will be involved in hands-on research activities that will boost their knowledge
Engineering Knowledge x x x x (Perceived & Actual) Engineering Career Interest x x x x College Student Inventory x x Program Experience x x x x Future Plans x x Pre-Post Demographics x Content Assessment Vocabulary x x x x
was an all-engineering veteran lunchgathering, where the students planned and invited veteran engineering students, currently not inthe Pathways project, to join them in a social and networking event.Career AwarenessCareer awareness, defined as “navigating job and scholarship applications, identifying suitableengineering careers, meeting with working engineers” [6] is a topic of discussion almost everyweek. Students commented that they have were surprised to learn of new jobs, such as bridgeinspectors, that showed them something they had never heard about before. Students were also 3 Fig. 1. Smithfield Foods, Inc. Headquarters Trip.Engineering IdentityEngineering identity
majority of students that did not agree were neutral and only a few disagreed. Given that these were two of the main goals for the course, it is a positive sign the student perception of the course matches thedesigned intent of the course. This is backed up by student comments when asked what they likedabout the course, which included: • “Actually applying mathematics to real-world engineering situations” • “The best part about this course was mostly just learning the Calculus and engineering skills, confirming to me that this is what I want to do with my life and I want to become an engineering.” • “Covering electronic circuits because I learned about them in AP physics in Highschool and I plan to be an
learning, where students work toward completion of a fully realizedproject. Typically, the project is something tangible and utilizes a hands-on approach [11] [12][13] and can be either ill- or well-defined. The first-year Cornerstone project in ENGR 111 tendsto be more well-defined in comparison to the more ill-defined Capstone project experiences duringrespective senior years. Finally, discovery-based learning in employed throughout ENGR 111course lesson plans. In discovery-based learning, students are given tasks, such as explainingobservations or answering a question, with the educational objective of discovering the underlyingengineering phenomenon [14] [15].ENGR 111 Course OverviewAs previously mentioned, the ENGR 111 course structure is
technological maturity and investmentexperience, respectively.Case Study: Appreciation of multidisciplinary research exigencies:Designing interdisciplinary research projects is not trivial and requires long term organization ofresearch tasks and an understanding of the interconnectedness of those objectives. Arepresentative example of this planning can be seen in a proposal on the potential ofhydroelectric energy generation along the North Saskatchewan River (NSR) basin in centralAlberta, Canada. This group proposed a five year timeline with multiple stages and clearobjectives at each stage. An example of these objectives, considering the E3 framework, is“Design and build hydrological model...that can predict the future of hydro[electric] in NSRbasin
plans ● redirect efforts to create win-win opportunities for both organizations ● comfortably join large groups of strangers (e.g., staff meetings at schools) ● meet with many different people to discuss ideas ● communicate goals and progress to both organizations.One of the most significant examples of liaison work - in which a liaison increased equity ofSTEM outreach to less visited schools in the district - demonstrates how the combination of thecapabilities listed above can increase the effectiveness of partnerships between organizations.After collecting data to determine how schools were being differently served, the liaison helpedschool administrators determine that schools with the lowest levels of outreach were to
pedagogy (relevant to RQ2c): 1. Students who learn with models in both calculus and statics. 2. Students who learn with models in calculus but not statics. 3. Students who learn with models in statics but not calculus. 4. Students who learn with models in neither course.We plan to expand this project to three other community colleges starting fall 2020 in order toincrease the size of the overall study population. We are particularly interested in increasing thestatistical power of the demographic subgroups of interest in RQ2d.Figure 2. Research design for longitudinal study assessing the impact of the model-basedlearning activities.Ongoing class observations and complementary studies in the psychology lab continue and areshifting
very proud to show them, letting first-hand experiencebuild enthusiasm for a career path enabling an independent and prosperous adult life. Observingbig and small engineering works raises interest, e.g., seeing the awesome scale of a 1,000 MWpower generator or watching a pipefitter annealing copper tubing by heating it to a glow andrapidly quenching in cold water. Hard copper magically becoming malleably soft. Today’s bestanalog are the robotics-mechatronics programs, which provide a limited bandwidth that ought tobe much broader. With appropriate planning and supervision, middle and high school agestudents holding interest in engineering need to experience more than science projects, and seereal things being made.Although the most significant
instruction on the “Introduction” section of the lab report. Instructions on Materials andMethods, Results, and Discussion were all one week apart, and occurred when studentssubmitted drafts for labs 2, 3, and 4, respectively. Focused instruction on references andappendix sections is part of the future implementation plan. The purpose of this strategy istwofold. First, focusing on one component of lab report at a time allows the students to bettergrasp the material. Moreover, receiving these instructions as they continuously write lab reportshelps them apply the received instructions more effectively.3.2. Reviewing Samples as a GroupThe focused instructional time was accompanied by reviewing samples of effective andineffective writing about the same
technology? Gamification, also known as serious game, is theuse of game thinking and game mechanisms such as points, levels, challenges, leaderboard,badges, or even rewards in a non-game context to engage learners in solving problems ([8]–[12]). It is believed that gamification with careful thought and planning can be an ultimate wayto motivate student success ([13], [14]). Gamification can include the application of animation,simulation, and game elements and represents a shift from learning by listening to learning bydoing. It also represents a shift from recalling information to finding and using it. From passivelearning to positive learning, by including an instructional context, gamification can enhance thelearning process. Since fall 2018
computer science with little to no background incomputing and lack of student participation in problem solving and group activities. This was mentionedby the instructor of CS 161 course in response to the external evaluator question on “Active LearningStrategy used in My Class - Most of the students did ignore my advice on working in groups (they werecomfortable working their own).”We are using flipped classroom and hands-on technology along with visual tool RAPTOR in CS 160and CS 161 courses this semester, and we plan to continue using these in subsequent semesters. We arealso in the process of developing custom material (Active learning, RAPTOR, and Java/C++programming) for these two courses. These materials will be available to students and
declared their major. We suspect thatmany of these students were first-year students who likely planned to major in Materials Science,thus leading us to analyze the data by student year in college (Figure 7).Figure 6. Scores on the learning rubric, relative to a common mean, as measured in units ofdeviation above or below the mean. A green color indicates scores above the mean, a red colorindicates scores below the mean. Saturation scale was set such that most saturated green occurs at+0.17, while for red it is -0.25. BIOE = Bioengineering, IDEAS = Integrated degree inEngineering, Art, and Science, ISE = Industrial and Systems Engineering, MAT = MaterialsScience and Engineering, MEM = Mechanical Engineering and Mechanics. Questions for rows(a)-(p