rate of scholars (losses due to GPA, only) will also be assessed for evidence ofsuccessful interventions.AcknowledgmentThis work is supported by the National Science Foundation Award under Grant No. 1153250.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.References [1] Geisinger, Brandi N. and Raman, D. R., “Why They Leave: Understanding Student Attrition from Engineering Majors,” International Journal of Engineering Education (1993): 29 (4), 914–925. [2] Chen, Xianglei and Soldner, Matthew, “STEM Attrition: College Students’ Paths Into and Out of STEM Fields,” National Center For Education
the sophomoreyear may work better for students once they understand, from the year-long counseling sessions,the need to catch up with their cohort. Unfortunately, participation in the summer bridge has notincreased significantly to date.As we reflect on the overall assessment plan, we realize that while some Program elements havethorough assessments, we need to disaggregate the data even more so that we better understandthe various cause and effect relationships.Initial ConclusionsWhile there are some promising initial results in terms of 1st to 3rd semester retention rates, it isclear that participation in the Program elements that help students catch up academically hasbeen low. Since implementation, we made several changes to the Program
college levelduring the 2014-15 academic year. The number of student-hours of instruction delivered at thefour-year level was double that delivered by community colleges and may reflect a greater abilityto apply the technology or the need for greater depth of instruction at the four-year level.The gender data shows that females are a distinct minority in microcontroller classes and that theclass is composed mainly of students of Caucasian ancestry. Students of Hispanic andAsian/Pacific Islander ancestry make up a higher percentage at the four-year level than in two-year community college microcontroller classes.Interest in professional development workshops similar to those offered through the projectseems to remain high. Registrations are
before beginning and again after completion of the video term-paper project.Both control and intervention groups received 45 minutes of media literacy instruction afterviewing the first set of videos.The media literacy instrument was developed in a style similar to that of previous work of Hobbs& Frost 24 Arke & Primack, 25 and Ashley, Lyden, & Fasbinder.26 Using Hobbs’ 14 conceptualframework of media literacy of “access, analyze, create, reflect and act” as a guide, theinstrument’s questions were: 1.) Who is the sender of this message? 2.) Describe the main message of the video using your own interpretation. 3.) Are there other possible interpretations of this video’s main message? 4.) Who is the
research into student reactions to individual cases of humor would serveto develop a better understanding of which types of humor are the most effective, allowinginstructors to make informed decisions about their use of humor on a day-to-day basis.AcknowledgementThe data presented in this paper was collected as part of a larger study funded by the NationalScience Foundation under the WIDER program (NSF # 1347790). The authors would like togratefully acknowledge the National Science Foundation for their support of this work. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not reflect the views of the National Science Foundation.ReferencesBryant, Jennings, Comisky, Paul, &
quantity take-offs, working with vendor and subcontractor contracts, developing estimates, and performing scheduling functions, checking drawings and specifications for completeness and discrepancies, attending bid openings and conferences, handling the paperwork. 3. Project Management – Perform management, field engineering or office functions at the advanced level of a mature intern.In order to make the internship experiences more valuable to students, it is imperative thatstudents take the opportunity to reflect upon their experiences and document it in the form of ajournal or a portfolio. Within the literature, various means of evaluating internships have beenidentified. One example is Millers (2006) who outlined the
used whenappropriate.In conclusion, whilst the first cycle of the Changing Futures Project has been immenselysuccessful, it is extremely resource intensive and would not have happened had the twoacademics responsible not had a personal desire to support students. No additional funding ortime was allocated to run the project which continues to be administered on a mixture of good-will and unpaid overtime! Despite this, the primary outcome of seeing the fortunes of some ofthe weakest students being turned around has been exceptionally rewarding. In reflecting uponthe project, ten key recommendations for institutions, colleagues and students are made:Recommendations for Institutions: 1. Financial Resources: Should be ring-fenced to provide a
. (2003). Efficacy of using a single, non-technicalvariable to predict the academic success of freshmen engineering students. Journal ofEngineering Education, 92, 41−48.Meyers, K.L., Silliman, S.E., Gedde, N.L., Ohland, M. (2010). A Comparison of EngineeringStudents’ Reflections on Their First-Year Experiences. Journal of Engineering Education, 99(2). 169-178.Montgomery, R., Follman, D., and Diefes-Dux, H. (2003). Relative Effectiveness of DifferentFirst-Year Seminars. Frontiers in Education Conference. Boulder, CO.Mourtos, N.J. and Furman, B.J. (2002). Assessing the Effectiveness of an Introduction toEngineering Course for Freshmen, Frontiers in Education Conference. Boston, MA.NSF (2015). Women, Minorities, and Persons with Disabilities in
’ current major,mathematics progression, and overall academic progress during future terms. Additionalinterviews and follow-up with the participants will also be explored.AcknowledgementsThis paper is based upon work supported by the National Science Foundation under Grant No.1430398. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.BibliographyAlvarado, C., & Dodds, Z. (2010). Women in CS: An Evaluation of Three Promising Practices. ACM Technical Symposium on Computer Science Education. Milwaukee, WI.Charney, J., Hmelo-Silver, C. E., Sofer, W., Neigeborn, L., Colleta, S., & Nemeroff, M. (2007
Section of their Rube Goldberg Machine (Outcome C). As part of this work-in-progress, feedback will be obtained regarding Outcomes C, D, and G from these students duringtheir Senior Capstone. Students will be asked to reflect on their comments and if they were usedin the execution of their Senior Capstone. Students will also be assessed on the impact theirfreshman design course had on their ability to design a system, component or process, tofunction on a multidisciplinary team, and to communicate effectively.ConclusionsIt is suspected that there is a positive impact on student learning using the techniques described.Students were successful in their projects. They took ownership of their individual RubeGoldberg sections. There were NO complaints
educational programs as it is a tool to evaluate or promotestudents’ learning and guide the instruction process. There are many different ways to assessstudent knowledge1. The methods used depend on what the instructor wants to accomplish andwhen/how often, the assessment takes place. The question types used in assessment methods canbe multiple-choice, short answer, open-ended, essays, matching, and true or false and can beincorporated in written reflections, quizzes, assignments, and others2. A commonly acceptedassessment instrument used for both diagnostic and formative purposes is concept inventories3,which refer to any kind of research-based assessment techniques that measure conceptualunderstanding4. Using concept inventories helps instructors
? The audio recordings and subsequent transcript of the panel session were analyzed toidentify themes based on the duration and depth of conversation that occurred around a particularpoint. Detailed qualitative coding was not used in this work given the nature of the paneldiscussion and role of the panel moderator in shaping the conversation and moving the sessionforward. This work did not conform to a systematic process of qualitative inquiry and the resultsreported here may be considered anecdotal accounts provided by panel participants. This paneldiscussion focused largely on supporting SVSMs through their undergraduate education and intoETETE careers. Because some of the panel members also had graduate educational experiencesto reflect upon
decades. VR might be able to address them all with its ability to offer anew type of discovery and organic exploration to encourage lifelong learning. Attention Gap. Attention spans have been decreasing over the past decade with the increase in external stimulation (Statistic Brain Research Institute, 2016). An exception to this is gaming, where it has shown that users are able to engage for extended periods. Time-Effective Use Gap. Opportunities for a learner to apply the knowledge and/or practice the skills that are being taught are limited. Pedagogy Gap. Modern pedagogy is not reflective of how the world looks and acts like in the 21st century and shows much resistance to change.Of course, with any new
contextrequires a more thoughtful approach, taking care not to make assumptions based on pastexperiences with non-American Indian students. Another pattern revolved around pedagogicalmethods; some proposed that teachers must take extra care to teach to various learning styles andmake curriculum content relatable to students’ lives, and others suggested that instructionalmethods should reflect a natural, traditionally-rooted learning style. A final common thread thatwas mentioned in two of the three groups was the importance of integrating technology intolearning in order to help American Indian students stay connected to the 21st century. This,however, can be tempered by poor connectivity in some rural nations.The final prompt asked participants to
todecide which will work best in their classroom.The model most teachers chose to use largelylooked like the Massachusetts Department ofEducation Engineering Design Process Model7(Fig. 2). Some teachers preferred to furthercondense this model into easier acronyms suchas D.E.A.L (determine the problem, evaluatepossible solutions, apply the best solution, lookback and reflect). Figure 2: Massachusetts Department of Education Engineering Design Process Model (MassachusettsTeachers work through the EDP to design and DOE 2006, p. 84)build their own wearable device to address a OneHealth issue. With guidance from Center faculty experienced in
through story telling. They then hadto describe in details of their market analysis, i.e., their potential customers and existingcompetitions. They made connections through this market research and interviews of potentialcustomers which resulted in proposing their own solution. Then they had to explain how theirsolution was different and how their design would add value in an economic, environmental, orsocietal sense such as reducing costs, increasing speed, expanding reach, eliminatinginefficiency, increasing effectiveness, or whatever value they could think of. Customerinvolvement was emphasized throughout the project, and students had to reflect on howcustomer feedback influenced their design.Assessment and ResultsThe entrepreneurial mindset
loved the studio style setup. It helped me learn the material a lot easier than my friends in other classes. The labs we had were reflective of the material and had a point to them, while my friends in other style setups had pointless labs and didn't understand the material as well as I did. 11/10 would take this style of class again.” “The studio class was effective because immediately after we had lecture we would apply it in lab. Also, if lectures ever ended early, we would have more lab time and vice versa. I would want to take another studio EE class again.”Figure 3 reports average comments about retention. Students were posed the same statement intwo different ways to remove the potential bias from
for students and teachers 4) It must make connections to the outside world and support core learning values.One objective of an effective learning environment is to promote deep learning by students.Entwistle & Peterson11 summarize guidelines for learning environments that promote deeplearning. These include relating new to prior knowledge, providing extensive examples todevelop accurate concepts, encouraging reflection and providing opportunities for discussionsnot just about the course content but also about the learning process. Struyven et al.12 describedthe role of the student in learning environment and provided suggestions for teachers to createenvironments that improve student perceptions of the environment, thereby
Team,” Session 2525, ASEE Conference and Exposition, Nashville, TN, June 22-25,2003.19. Sheridan, Patricia, Gammal, Lobna, Phillips, Jennie, Evans, Greg, and Reeve, Dug, “A Team-effectivenessInventory for Guided Reflection and Feedback,” Paper ID #6820, ASEE Annual Conference and Exposition, Atlanta,GA, Jund 23-26, 2013.20. Sheppard, Keith, Dominick, Peter, and Blicharz, Edward, Developing Team-Work Skills Through a Core DesignThread, AC 2008-3132, ASEE Annual Conference and Exposition, Pittsburgh, PA, June 22-25, 2008.21. Edmonson, Charlie, and Summers, Donna, “Integrating Teamwork Across the Curriculum,” AC 2007-3248,ASEE Annual Conference and Exposition, Honolulu, Hawaii, June 24-27, 2007.22. Whalen, Richard, Freeman, Susan, Jaeger, Beverly
instrument started with explainingconsent to participate in the study and the participation requirements. The survey instrumentincluded multiple published and previously validated measurement scales. The measurementscales included the following: 1) identification with engineering 18 to measure engineeringidentity; ethnic identity scale 19 to measure the level of identification with racial or ethnicidentity; 3) Womanist Identity Attitude scale (WIAS) 20 to measure attitudes reflective of thefour stages of womanist identity development (i.e., Pre-encounter, Encounter, Immersion–Emersion, Internalization); and 4) the Patients Health questionnaire 21 is a self-report measure ofsymptoms of anxiety and depression. Each scale include Likert type questions
authors embarked on the mission to investigate how common it was to use multipledrive teams, they did not expect these results. Having three drive teams on Team 3459 is uniquerelative to all the teams in North Carolina and 91 percent of the participating FRC teamsresponding used the traditional format of one drive team or one drive team plus a backup. Wewere surprised to see that another team in Michigan has considered this option and will try it thisseason.This was just a pilot study, and we observed potential issues with survey participant selection. ● Only teams with representation in Chief Delphi were invited to participate ● Because the invitation was in the form of a forum post, only teams that have spent time reflecting on the
.” Finally, the last day of the course was the apex of the Invention Bootcamp, with apresentation of all projects in front of an open public.Assessment We collected data using one student focus group, two student surveys and a mentorsurvey. During the focus group, which took place during the final week of the program,students reflected on what they had learned, the challenges they faced, and theirperceived changes in attitude, knowledge, confidence and aspirations related to invention.All but one student (96 percent) participated in the focus group. Students took the student survey online as a group using their program-providedChromebooks, and it was administered in two parts. Part one was administered halfwaythrough the program, to capture a
were chosen based on prior knowledge of their use of nontraditional teachingmethods as well as their self-selection into the study. The final study sample represents a mix ofgender, institution type, Carnegie type, and discipline, and the demographic and characteristicdata are reflected in Table 2. The total number of students used in the analysis was 997, andpairwise deletion was used to handle missing data across survey items.Table 2Survey Population and Characteristics of Engineering Instructors Course Instructor Institution Carnegie Course Number of label gender type classification* discipline** students 1 F
0 0 0 9 MA 1 31 1 0 7 0 3 43 Given MO 3 17 0 5 0 0 5 30 PR 2 8 0 2 0 0 4 16 QH 5 78 0 2 3 5 0 93 Totals 26 156 1 44 30 16 93 366 * AN-Analyzing; DE-Designing; DF-Defining problem; MA-Managing; MO-Modeling; PR-Predicting; QH-QuestioningThe observed frequencies show that there exist dominant iterations between designing andquestioning (f(DE→QH) = 78, f(QH→DE) = 78). This result reflects that participants oftenmoved back and forth between
learning gains that have arisen as a resultof student learning during a course of study.Concept inventories have been developed to assess student understanding in a variety of subjects,including physics1, statics2, biology3, genetics4, thermodynamics5, fluid mechanics6, light andspectroscopy7, dynamics8, chemistry9, digital logic10, thermal and transport science11,geoscience12, statistics13, and engineering hydrology14. Perhaps reflecting the wide range ofsubjects they seek to assess, there is substantial variation in the format and length of existingconcept inventories. Some utilize a multiple-choice structure, assigning an all-or-nothingoutcome to student responses, while others incorporate more detailed assessment of studentresponses in an
, I found it very helpful to be able to step back andobserve myself and reflect on it. As there are many positive benefits, candidates should considervideo recording their lectures.ResearchThe primary artifacts for research are publications and funding3. The key to accomplishing bothof these is staying organized. Staying organized was also the most common tip fromparticipants. Specific suggestions included consistent file names, sharing strategies, andplanning directory structures. The other common tip was ensuring files are backed up, eitherthrough the cloud or manually. All but one participant indicated using cloud storage; Figure 6shows the cloud storage used the most often by each participant. Another participant stressed theuse of
netpromoter items on a 0 to 10 scale, with 0 reflecting the highest positive value (“Interesting,”“Appealing,”) and 10 indicating the closest negative value (“Boring”, “Unappealing”). Table 1. Change in STEM-Inc Student Interest in Computer Science, Engineering & Entrepreneurship, Fall to Spring, 2015-2016 Total 2016 Traditional Lean 2016 2016 Mean Change Mean Change Mean Change (Pre-) (Post-) (Pre-) (Post
engineering degreedue to participation in ESI. As time continues and more data are collected, the authors expect tobe able to say this with increased statistical certainty. One major success of SI is the peer interaction. Students can receive positivereinforcement by learning from a student who has been able to excel in a historically difficultclass. Additionally, SIs tend to teach the material in a method that reflects a student’s train ofthought, which is more appealing to fellow undergraduate students. SI is also capitalizing on animportant stage of the learning process–repetition. By the SI repeating the material previouslydiscussed in lecture, students often come to understand the material better. As mentionedpreviously, other
, ASCE updated the series findings to reflect currentconditions, Failure to Act: Closing the Infrastructure Investment Gap for America's EconomicFuture (available at http://www.asce.org/failuretoact/). These reports cover 10 of the 16categories addressed by the Report Card for America’s Infrastructure, and give specific figureson the cost of infrastructure inefficiencies, including the: • cost to each family’s disposable income, • impact to American jobs, • added cost to U.S. businesses, and • overall impact to the U.S. economy. Figure 2: Failure to Act: Closing the Infrastructure Investment Gap for America's Economic FutureThe 2011 and 2012 infrastructure sector-specific reports of the Failure
instilling confidence in the results in cases where there wasreasonable agreement or prompting reflection where there was not agreement.Typical wood strength values used in structural design are much lower than published clearstrength values. Clear strength values typically represent the mean as-tested values of clearspecimens (without knots, cracks or other defects), whereas design values are often two standarddeviations below the mean to ensure a 95% probability of the wood not failing. Toconservatively estimate the strength of pine in Uganda, EMI would typically use design valuesfor “mixed southern pine” from U.S. standards, which are shown in Table 4 below. Though thisstudy did not include enough clear specimens of each species of Ugandan wood