. Thereporting module is being developed not only to give student immediate feedback regarding thedegree to which their perceived content mastery matches their actual mastery, but to provide theinstructor, a convenient manner in which to identify struggling students. Preliminary AssessmentSections will be used beginning in the first weeks of class in hopes of making students aware ofany deficiencies they exhibit, while offering resources to combat their deficiencies early enoughin the course to make a difference.Reading and Reflection ExercisesReading and Reflections exercises will be available to all students, but may be required (if theinstructor wishes) for students not passing a given PAS. The reading and reflection exercises willcontain brief
instituted a dedicated pedagogy seminarthat all studio GTAs attend. In this seminar, we have integrated concepts from ComplexInstruction in mathematics with particular attention to the way students’ status impacts theirparticipation on a team and their opportunity to learn.24,25 We are also working towards moreintentional ways for studio team formation, reflection, and interdependence. To this end we havepiloted the use of the CATME tool26 in one studio class. Finally, we have engaged our IndustrialAdvisory Board (IAB) as a source for problems to integrate in the studio. We have been workingwith the IAB Chair to develop a process where we can translate the project experiences of ourindustrial partners into useful studio activities for our students.4
effective recruiting tool. Bytargeting the Partner Schools and First Generation engineering students, the scholarship programis aiding and supporting more diverse students with high financial need. Retention analysis isongoing through periodic check-ins, interviews and focus groups. Many of the PEEPScomponents are also being developed to reach a greater number of students beyond thescholarship recipients, such as the Engineering Student Success course and cohort scheduling ofgateway engineering courses.Assessment by interviews and a focus group of the PEEPS has revealed that the cohortscheduling of courses together has helped the students form a community and has assisted withstudying for courses. In addition, periodic reflections that aid in
, de-sign, analyze and prototype parts and products. The actual realization of physical products isdeemed important to the iterative design process – students should not only experience a designand manufacturing process, but also reflect on the physical manifestation of their ideas and ulti-mately experientially improve their engineering design abilities. To this end, several inexpensivekit-based CNC machines were compared on the basis of cost per working area/volume, machin-ing capability and simplicity of use5,6. The following two CNC platforms were selected for themechanical component in the initial deployment:• Inventables Shapeoko II: The Shapeoko II is a kit-based, hobbyist CNC machine designed by Edward Ford and distributed by
VT Engineering Com- munication Center (VTECC). She received her PhD in Linguistics from the University of Chicago and a B.A. in English from the University of Georgia. Her research interests include interdisciplinary collabora- tion, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a CAREER award to explore the use of e- portfolios to promote professional identity and reflective practice. Her teaching emphasizes the roles of engineers as communicators and educators, the foundations and evolution of the
day. Each topic will be covered over two weeks and each topic has anengineering analysis project and an engineering design project. How each topic starts, beginningon Tuesdays, and is taught over two weeks is shown on the right-hand side of the figure. Figure OSU-2. ENGR 1113 Course StructureAt the conclusion of a four week module (this is for the three major topics, Algebra,Trigonometry, and Calculus) each team submitted a report and each individual studentcompleted a reflection paper. Topics included in the team reports and reflections will include: thestudent’s contribution to lab, summary of data, and what the student learned in the lab. The
NSBE SEEK mentors–and capture the synergies acrossboth parts of the REM program.Overall, the REM program has helped to increase the number of Blacks and otherunderrepresented groups in engineering. Reflecting the applicant pool, CISTAR has been able toattract a diverse cohort of engineering students (~75% are Black; ~50% are female) who arecurious about research, but also want to spend part of their summer “giving back” by mentoringkids. Similarly, the partnership has helped NSBE SEEK offer their SEEK mentors, who arepassionate about mentoring kids, an option to spend part of their summer learning research skillsthat will help them grow professionally. Most importantly, the REM program is a win forparticipating students who want to have two
and excellence ineducation. Garcia, Nuñez, and Sansone’s (2019) also recommended ethnographic research tounderstand structures of servingness. The researchers utilized metrics on the sense of belongingand community engagement advanced by Mitchneck (2022) in the operationalization of Garcia,Nuñez, and Sansone’s (2019) multidimensional conceptual framework of servingness. Throughcritical reflection and reflexivity, the researchers used these metrics to assess the impact of theinternal processes and methods of the family-centered theory of change and the navigation ofinstitutional, pragmatic mechanisms that led to equitable outcomes among participants.IntroductionIn this study, we (authors/practitioners) engaged in deep critical reflection
six kinds of validation that must be considered in boththe making and handling of qualitative data. Table 1 defines these dimensions in greater detail. Table 1: An overview of the Q3 framework for qualitative research quality Form of Key Concern in Making Data Key Concerns in Handling Data Validation Theoretical Does the research process Do researchers’ interpretations fully Validation wholly capture everything the reflect the coherence and complexity researchers want to learn about of the social reality under the social reality under investigation? investigation? Procedural Do the research procedures
happens to the power of various elements in a resistivecircuit as the value of one of the resistors decreases. The second exercise has students considersituations in which the ideal independent voltage and current source models might fail. Bothwriting exercises are built from a template that includes several metacognitive prompts to spurself-reflection on the part of the user. A rule-based approach was taken to detect evidence ofcommon misconceptions [2] and errors in student responses, as well as to identify sentences thatrevealed the student was correctly addressing the problems. Based on identified misconceptionsor correct concepts in a student’s writing, the web-based application selects appropriate directedline of reasoning (DLR) feedback
.5-6)The outcomes specifically address the need for interpersonal skills and a nuanced understandingof social and global context that may not be reflected in students’ or teachers’ understanding ofthe field. GCE Summer Camp 3Grand Challenges for EngineeringIn response to widespread misunderstandings of the field, as well as low enrollment numbers ofU.S. students in engineering programs [16], the National Academy of Engineering (NAE) hasintroduced a series of marketing campaigns to counter these common misperceptions ofengineering and the number and diversity of students entering engineering career fields. [16] [17][18] One of their campaigns to change perceptions is
serves at most 55 participates peryear,5 which is a small fraction of the almost 25,000 tenure-track engineering faculty members.22Travel support to bring participants to a face-to-face workshop, even for a couple of daysbecomes prohibitively expensive when the effort is scaled even to accommodate a modestnumber of engineering faculty members.The inadequacy of existing faculty development models is reflected in the lack of evidence ofchanges in student learning,2 the slow adoption of engaging, active-learning methods that havebeen systematically tested and shown to be effective,1, 23 and the stalling of innovation in STEMeducation.29 A recent systematic and fairly extensive observational study provided dataindicating a reliance on the
hypotheses rather than conclusions. First, PIsexpect undergraduate lab workers to express “interest” and “excitement” about research. Weworry that assessing students according to how a professor perceives their “enthusiasm” canunintentionally exclude students who differ from the professor, such as by gender, race, class, orculture. Second, members of the two labs tell stories about failure to undergraduates in differentways, which serve as powerful modes of socialization. Discourse styles as reflected incommunities’ storytelling may influence undergraduates’ sense of belonging. Third, we tried anew methodology of inviting students to discuss their different kinds and levels of expertise withregards to the concept of T-shaped expertise, i.e., having
national dissemination of the survey, it maybe found that different types of teaching methods are more common in different types of coursesor disciplines. As an illustration of that idea, the prevalence of teaching methods used in requiredundergraduate courses (n=19) were compared to required graduate courses (n=5). Teachingmethods such as design and project based learning seemed more common in undergraduatecourses; lectures, guest lectures, and reflections seemed more common in graduate courses.Table 5. Methods that faculty use to teach students about ethics and/or societal issues in theircourses % of 19 required % of 5 required Teaching Method N
, targeted student interviews, classroom observations andinstructor reflection. Preliminary findings described herein will be used to informimplementation of the online learning forum in the Calculus I and II treatment sections, as wellas serve as a baseline condition for comparison with data gathered during the next phase of theproject.Introduction Efforts to graduate more engineering students and to promote their entry into the U.S.workforce as engineers are considered vital to our country’s ability to maintain a position ofglobal leadership, economic prosperity and national security1. Within Science, Technology,Engineering and Mathematics (STEM) education, data suggests that the U.S. is no longerproducing sufficient graduates, in terms of
, students were asked to reflect on whether the oral examschanged their learning strategies. Overall, results show a quite even distribution of students’agreement level on how they find interactions during the oral assessment(s) changed theirlearning strategies. 29.4% of students agreed/strongly agreed on the prompt, while 38.1% ofstudents didn’t have a preference, and 32.4% of the students disagreed/strongly disagreed.Results showed that more URM students, FG students, and students with lower GPAs (C andbelow C) reported oral exams caused a more significant change in their learning strategycompared to the non-URM students, non-FG students, and higher and middle GPA (A and B)students. Thirty-eight percent of URM students agreed or strongly agreed
3.70Team effectiveness characteristicsThe percentage of responses of the participants on team effectiveness is presented in Table2a-c. The majority, 62.97%, strongly agreed that clear objectives are established for teamactivities. Moreover, 51.85% strongly agreed that the team members are supportive of eachother, and 40.74% agreed that the team members feel fully utilized. In summary, the resultsshowed that larger percentages of the respondents agreed with all of the items. Additionally,it was observed that the highest percentage of disagreement in some items was 7.41% andoccurred under “The team often reflects on how well they achieve the objectives” and “theteam is involved in creating task objectives.”Table 2a: Percent Responses of the
year replication, however, we breakout replication sites with onlydescriptive statistics.Replication SitesThe C-EEEM replication, as noted, focuses on cities in the Midwest. In part, replication siteswere chosen for similarities to the pilot site region, such as a decline in population in the 20thcentury. Challenges aside, these cities offer corresponding opportunities [18]. Louisville is aspecial case; despite is losing population each decade from the 1970s on, a county merger in2003 nearly doubled the population of the city for the following census. Otherwise, as withSouth Bend and Youngstown, it has disinvested neighborhoods in its urban area and populationdemographics reflecting a high number of those underrepresented in STEM fields
)represent a unique yet understudied student group that comprises substantial numbers of thosehistorically underrepresented and underserved in STEM (i.e., due to race, ethnicity, gender, socialclass, ability, orientation, etc.). The individual diversity reflected by SVSMs, as well as theirtechnical interests, leadership and teamwork skills, maturity, life experience, and self-discipline,highlight SVSM as promising candidates for helping the field of engineering meet 21st centurySTEM workforce diversity goals [1,2].Project Goals and Work PlanThe overall goal of this NSF CAREER project is to advance full participation of SVSM within higherengineering education and the engineering workforce via two complementary work streams: aresearch plan and an
minor, ENGR 195E, can befound in Table 1. The table reflects data for all students who have completed the minor to date,as well as a subset of students who completed the exit survey. At SJSU, as well as nationwide,social science students tend to be more diverse than engineering students [13], [14]. This patternis reflected in the demographics of students completing the minor, such that a higher percentageof Applied Computing students are women and underrepresented minorities relative to studentsin the College of Engineering, in which 19% are women and 22% are URM [13]. The mostpopular major among Applied Computing students is Psychology, followed by Economics. Lesscommon majors include Business, Sociology, Behavioral Science, Communication
Approach to Web Programming ● CSc 698a: Topics in Computing I (Project-based Learning) Spring (Year 2, Semester 4) ● CSc 698b: Topics in Computing II (Project-based Learning) Since its launch in Fall 2016, three cohorts have graduated. The cohort size has been 15students, on average. In the 2020 graduating cohort, the graduating cohort of students was 85%women, 37% Latinx, and 11% Black/ African-American - starkly different from the typicaldemographics of a traditional CS major program, and also those of Biology/Chemistry majorprograms. We have made efforts to have these demographics reflected in the mentors selected forthe program: 77% of the mentors recruited to date have been female or URM.2. PINC Peer Mentoring
Collection PlanData SourcesThe two sources of data for this project will be surveys and follow-up interviews. Each will becarried out during both of the phases of the study referenced above. Below, we describe thesetwo data sources in greater detail.Survey MeasuresSurvey data collection will include eight measures carried over from our previous study [16] andone new measure (the Moral Foundations Questionnaire, or MFQ). These instruments wereselected for our research because they reflect a wide variety of complementary constructs andmeasurement domains and include both general and engineering-specific measures. We addedthe MFQ to our plan for this study to acknowledge an increasingly “pluralist” view of moraldecision-making which involves not only
a traffic light controller to teach students the basics of sequential digital logic design, a core component in both Computer Engineering and Computer Sciences. Gridlock was chosen as it already implements several meta-cognitive strategies designed to promote student learning and student self-reflection, thus giving a solid foundation to build the learning support system on top of. This paper reports preliminary results from early testing and continued development of the Gridlock system. In testing the game system, students in Introduction to Digital Systems courses and Computer Architecture courses at Rowan University utilized the game as a supplementary tool to assist them with lab work. The
often focused on hiring students in those strongresearch-based R1 programs.The future of any educational institution depends on the quality of its educational programs andclear pathways to future professional careers for its students. In the past decade, the engineeringdisciplines in general, and ECE in particular, have been experiencing huge transformations withfast-emerging new disciplinary areas. New technology areas range from quantum computing tomachine learning, cyber-physical systems, internet of things (IOT), industrial internet of things(IIOT), etc. It is becoming a challenge for small educational institutions such as some IECmembers to reflect new technology areas in their educational offerings, as well as take advantageof new trends
(Davishahl et al., 2019).In addition to ConcepTests and CIs, more extensive Instructional Tools are available to helpstudents develop conceptual understanding. These include reflection activities (Koretsky, et al.,2016a) as well as activities pedagogically tailored to conceptual understanding such asInteractive Virtual Laboratories (Bowen et al., 2014) and Inquiry Based Activities (Prince et al.,2015; Self et al., 2016). Figure 2 shows an example of a simulation developed during this projectthat forms the basis of part an Inquiry Based Activity in dynamics.Figure 1. Screenshot of the Student Interface of a ConcepTest for Engineering Dynamics. Theinstructor has the option to request written explanations and confidence when assigning
Engineering (BME) at Purdue University. These schools sharesimilarities with some common coursework and faculty, but also provide contrasts as BME’sundergraduate population, on average for recent semesters, has been 44-46% female, where ECEhas been 13-14% female. Although BME has slightly more underrepresented minority students(7-8% versus 5%), approximately 60% of BME students are white, versus 40% for ECE. It isimportant to note that Purdue’s School of ECE offers B.S. degrees in Electrical Engineering (EE)and Computer Engineering (CmpE), which reflect unique disciplinary cultures. Additionally, theschools differ significantly on undergraduate enrollment. The BME enrollment was 278,whereas ECE’s enrollment was 675 in EE and 541 in CmpE1.In this
#4 Ninety-two percent of graduating SESMC scholars who complete a major milestone (Objective #2) will be employed or enrolled in a four-year program related to their discipline within two years of completion.Objective #5 Success and retention rates among SESMC scholars in select core courses will be at least 83% and 95% respectively. The success rate (“C” grade or better) among comparable STEM students in core courses is 72%; the target reflects a 15% increase over the baseline. The retention rate (percent completing a course) among comparable STEM students in core courses is 85%; the target reflects a 12% increase.Scholar Selection Process and
conversation about how we teach and train engineers to workin diverse teams in first-year programs and beyond. Students also showed a decrease in teamratings of their effectiveness over the course of the semester. This decrease may not be an overallreduction in students’ effectiveness in teams. In fact, student reflections on teaming activities andcases of conflict in teams decrease over the course of the semester. Instead, we believe that thisshift occurs as students learn more about what it means to be a good team member, become morecomfortable giving their peers feedback and subsequently deliver ratings that are more realistic.As part of understanding students’ perceptions of working on diverse teams, we have beenpaying close attention to how
theirengineering communities. They meet many of their fellow classmates and use this informationwhen forming study groups and/or reaching out to their peers for assistance.Authentic Scenario (Relevancy)An authentic project is assigned to pique student interest and demonstrate the applicability of thecourse. For this study, we used the 2007 collapse of the I-35W Bridge in Minneapolis, MN [19].Students are asked to reflect on their past and current understandings in the form of reflectionquestions: “What engineering concepts do you need to explain the cause of the collapse?” “Whatrole will this course play in preparing you to understand the cause of the collapse?” This allowedcourse concepts, often seen as abstract, to be directly applied to an authentic
level (α), statistical power level (1-β), andsample size (n). Thus, “…when any three of them are fixed, the fourth is determined” [37,p 98].When using NHST, an effective way to minimize the probability of committing Type I and TypeII errors and ensure that significant results reflect important substantive meaning, is to conductan a priori power analysis to determine an optimal sample size given an expected effect size [37,34]. Below we discuss an a priori power analysis conducted prior to testing the engineeringvalues, self-efficacy, and identity scales. To determine a meaningful Effect Size (EF), that our scales of engineering values, self-efficacy, and identity need to be able to detect we conducted an a priori power analysis using