advising. The school’s administration faces challengesscheduling courses and allocating diminishing resources to satisfy student demand. In addition,faculty needs to assess the efficacy of their curriculum in a program, and collecting longitudinalstudent data is difficult. A web application system (mobile compatible) using a multi-agent approach has beendeveloped to allow the students (agents) to take more control over their individualized advising.In this context, the student tool becomes an agent, and the school provides the environment witha desirable behavior for the system. This research will identify the school’s administrators as theacademic control objective and will be referred to as the "Operator". This paper focuses on theagent
to complete a series of post-test tasks. During each task, students will also recordhow difficult they perceive the task to be (i.e. cognitive load assessment). Figure 4 depicts anexample of a post-test task.Figure 4. Post-test sample question.1 Reprinted from Vector Mechanics for Engineers: Statics & Dynamics, (p.345), F., Beer et al, 2016, McGraw-Hill Education.Post-Test: Measuring Cognitive LoadSubjective measures of cognitive load will also be used to measure students’ perceived difficultywhen performing the post-test tasks. Student will rate their perceived mental effort based on a 7-point Likert scale, ranging from 1 – extremely east to 7 – extremely difficult, after interpretingthe instructions
, students will also recordhow difficult they perceive the task to be (i.e. cognitive load assessment). Figure 4 depicts anexample of a post-test task. Figure 4. Post-test sample question.3 Reprinted from Engineering Mechanics: Statics, (p.407), R., Hibbeler, 2013, Pearson Prentice Hall.Post-Test: Measuring Cognitive LoadSubjective measures of cognitive load will also be used to measure students’ perceived difficultywhen performing the post-test tasks. Students will rate their perceived mental effort based on a7-point Likert scale, ranging from 1 – extremely east to 7 – extremely difficult, after interpretingthe instructions for each task. This approach has been used in prior research and has been shownto
of California, have had the option to enroll in either aface-to-face (F2F) or fully online section of both Engineering Circuits (i.e. circuit theory) andEngineering Circuits Laboratory classes, which are offered as co-requisites in the lower-divisiontransfer pattern for most engineering majors in California1. At the beginning of the semester,students in the online section of the laboratory class receive a portable shoe-box sized bin ofelectronics components and instrumentation, and use it to perform lab experiments on their ownor with a virtual lab partner. Both online and F2F cohorts use the same materials, and F2Fstudents are able to borrow kits to do experimentation at home if they desire.The development and assessment of the circuits
). Students need challenge, not easy success. Educational Leadership, 48(1), 22–26. Retrieved from http://thinkingskillsclub.com/wp-content/uploads/2014/04/risk_success_clifford_1990.pdf[3] Higgins, R., Hartley, P., & Skelton, A. (2010). Studies in Higher Education The Conscientious Consumer : Reconsidering the role of learning The Conscientious Consumer : reconsidering the role of assessment feedback in student learning. Studies in Higher Education, 27(1), 37–41. https://doi.org/10.1080/0307507012009936[4] Askew, S., & Lodge, C. (2000). Gifts, ping-pong and loops-linking feedback and learning. In Feedback For Learning (pp. 1–17).[5] Aleven, V., McLaren, B.M., Sewall, J., &Koedinger, K.R., Proceedings of the 8th
Regenerative Medicine• Bioprinting across Technology Sectors• Certification, Assessment and Qualification• Open topic (RFI responders may suggest) 20NIST Advanced Manufacturing OfficeThe Commerce SponsoredManufacturing Innovation Institutes Commerce/NIST Institutes “Open Topic” CompetitionUses new authorities under the Revitalize AmericanManufacturing and Innovation Act (RAMI) - Proposals will be accepted on any topic not already covered by existing NNMI institutes• Key attributes • Open topic competition • Up to $70 M federal share per Institute • Each institute to serve as a regional hub with well-defined focus area • Two-step process, Pre
is set up and the analysis of fatigue level. Additionally thecourse evaluation and assessment data are presented.3. ApproachThis section describes an approach to analyze and design around stress concentrations in amechanical component as shown in Figure 1. The materials properties are summarized in Table1. Figure1: Finite element mesh of the model Table 1: Materials properties used in the simulationA static mechanical loading analysis is conducted first. The stress distribution is shown in Figure2, which highlights the areas where the part would fail first. Figure 2: Simulated von Mises distribution in the static mechanical loading analysisTo improve the mechanical strength, especially the
the more difficult challenges—rather than always “playing it safe.” In theevent that the robot completes the challenge without a human touch, this success serves as acredit to students’ respective score. Finally, if two of more students earn the same score, thenties are broken first by whoever had the fewest unused human touches—and then by whoever’sdesign used the fewest logic resources measured in logic cells (Lcells).AssessmentThis course is used primarily in order to assess ABET outcome (6), specifically: “To conductexperiments, to analyze and interpret sensor data and to use these results to design appropriatesolutions.” This outcome most often is best accomplished in a hands-on laboratory setting,which this project provides. All
semester. The three surveys utilized were the12 question GRIT survey, a reduced version of the Motivated Strategies for LearningQuestionnaire (MSLQ), and a modified version of the Longitudinal Assessment of EngineeringSelf-Efficacy (LAESE). During the fall semester the surveys were taken during the professionaldevelopment course and provided to all scholarship recipients from previous cohorts via an emaillink (e.g. Fall 2018 the entire 2018 cohort, scholarship and non-scholarship recipients, took thesurveys in class and the scholarship recipients from 2016 and 2017 were supplied a survey link.) 3At the end of each spring semester the survey links were
generated, that is critical for project success.Background and Theoretical FrameworkCollective argumentation [9] is an effective learning strategy for promoting deep levelunderstanding course content and is used in k-12 education due to its relationship with criticaland higher order thinking. During the collective argumentation process, the student must articulate the reason for approaching a problem in a particular way, justify the approach using data and information to support the reasoning, and provide the principles that establish the justification. In mathematics and science education, the use of argumentation to assess student knowledgerelies on three core components commonly called the claim, data and warrant (Table 1).Multiple examples
investigating whether alternative methodswill increase student success.Entering University students without AP/IB/transfer credit in mathematics are placed into a mathclass based on their SAT or ACT math score. In 2016 CEAS included the option for students touse the ALEKS (Assessment and Learning in Knowledge Spaces) program in an effort toprovide a pathway for students to increase their math placement up to Calculus I before startingclasses in the fall. ALEKS is an online learning program that offers an initial math assessmentand provides subsequent online remediation modules to improve math skills [5]. The collegecovers the cost to the student for use of this program. A proctored exam provides the final mathplacement score for students and is
College Council serves as the studentgoverning body of the living-learning program. This opportunity is granted to a number of first-year students each year, and provides these students with immediate leadership opportunities inaddition to informal mentoring from the upper-division College Council members. CollegeCouncil members plan and facilitate a calendar of holistic programming as well as addressconcerns brought forth by residents. By engaging first-year students in these meaningfulleadership experiences, Teal is able to enhance opportunities for connection between theacademic experience and the extracurricular lives of its students.Future ImplicationsContinual evaluation and assessment of aspects of the Teal community and opportunities
better monitor the temperaturedistribution as it approaches steady state. The development of this apparatus allows students toengage in a practical laboratory experiment that offers a great deal towards their understanding ofconvection heat transfer both physically and visually. Additionally, when testing and verification is completed, an assessment study will beconducted to identify its impact on student learning. This will be completed by implementing theapparatus into the laboratory curriculum for the next upcoming academic year. A preliminarysurvey will be issued prior to performing experiment. The survey will cover fundamentaltheoretical questions. After completion of the experiment, an exit survey will be issued.References 1
Brockman is the Associate Dean of Engineering for Experiential Learning and Community En- gagement. He received his Ph.D. in Computer Engineering from Carnegie Mellon University and previ- ously worked for Intel Corporation. He is also a founder of Emu Solutions, Inc., a startup company that is commercializing research in the area of high-performance computing.Sam Alptekin c American Society for Engineering Education, 2018Student Outcomes in Academic Community Engaged STEMprojects with Multi-Dimensional DiversityIntroductionThe United States lags behind most of the 72 developed countries in the 2015international assessment of student STEM outcomes by the Organisation forEconomic Co-operation and Development
assess theeffectiveness of the mRSTLab in improving students’ understanding of critical course concepts.The survey results are very encouraging. Students showed good improvements in learning basicengineering concepts after they used the mRSTLab. In six of the seven questions, the answercorrectness increased by 8% - 21% in the post-survey compared to the pre-survey; the answercorrectness in one question remained the same. The answers to the questions assessing studentsatisfaction revealed that, 95% of the students found the mRSTLab easy to use and felt that itwas an enjoyable learning experience. 89% of the students agreed that it helped them improvetheir understanding of critical concepts and 84% would recommend it to a friend [18].Multiple
about his experiences and how he excelled his career etc. Too early to tell if it will be an issue but was something I assumed would be based on matching mentors based on mutual career interests etc.Two students commented in the post-trial survey on the issue of matching professional interests,with one responding: One comment I would make is that if it is possible, it would be most effective to pair a mentor and mentee who are in the same specialization (eg. structural engineering) as this provides a common ground for discussion on professional matters.Figure 2: Pre-mentoring reservations of students (top) and practicing engineers (bottom).Figure 3: Post-mentoring assessment of reservations by mentors.On the other hand, one student
has been tested and maintained atTemple University since June 2014. All of the functions itemized in this paper have been testedfor their fully functionality. Meanwhile, a computer based adaptive assessment tool is beingdeveloped which will be integrated into the current system. Once the tool is developed, it will bea great enhancement for the virtual laboratory by automatically gathering feedback from thestudents. This assessment tool will be focused on the evaluation of this application. Thus, once itis integrated with the system, we will be able to answer: 1) How much difference there isbetween the traditional hands-on laboratory and the virtual laboratory, 2) Whether or not thevirtual instrumentation and experimentation have provided
used to help educators designthe structure and assessments for a course and select appropriate instructional approaches fordifferent learning activities6. The student presented in this paper aims to share one set of graduateengineering students’ perceptions of impactful undergraduate learning experiences with newengineering educators.Capturing Students’ Perceptions of the Instructional EnvironmentsExplorations of individual student perceptions and interpretations have become more common asresearchers have shifted their focus away from observational approaches to examining aclassroom climate. Ames5 explains that: “To predict and examine motivated cognitions, affect,and behavior of a student, it is necessary to attend to how the student
. Page 26.1738.7Respondents indicated that it was crucial for them to be confident that they would be ableto find job in the selected professional area. At the same time all respondents agreed thatIT professionals are in high demand at the moment, yet they all chose another profession.3) Complexity of the level of trainingRespondents self-assessed their level of preparation for examinations required, the testspassed and assessed the competition level, i.e. number of applications per place. Manyrespondents indicated that they didn’t have enough confidence to apply to the universitywith strong competition and decided to go for a safer option: “When at school I liked mathematics and humanities. Mathematics always attracted me. However in
Ecosystem Infrastructure 2014 • Awards in FY1516 November 20, 2015 CAREER: Teacher-Scholar “Successful applicants will propose creative, effective, integrated research and education plans, and indicate how they will assess these components.”CAREER Project Description: a description of the proposed research project, including preliminary supporting data where appropriate, specific objectives, methods and procedures to be used, and expected significance of the results; a description of the proposed educational activities, including plans to evaluate their impact on students and
curricula; teacher preparation; assessment; online learning tools; after‐ school programs. •Complements other provisions of America COMPETES. Possible Future Legislation • Nuclear R&D: The House Science and Technology Committee plans to authorize broad research and development on enrichment, reprocessing, generation and storage of spent fuel. • Institute of Innovation: A House Science subcommittee weighs creating a new agency within a cabinet department. • Permanent R&D Tax Credit Summary • Thank congress for past support of engineering R&D, engineering education, and stem initiatives. • Mention the contributions of engineering R&D and education to job growth, company creation
• Funds were available to obligate and hold next year’s CAREER panels EDUCATION Directorate for Education and Human Resources (EHR) Division of Research on Learning in Formal and Informal Settings Division of Graduate Education Division of Human Resource Development Division of Undergraduate Education 11 ECCS AND EDUCATIONFunding Mechanisms- Supplements- Integrated with traditional research- Co-funding with other divisions 13 Expectations Innovation Impact Assessment Sustainability Reasonable and justified budgetReview Criteria Intellectual Merits Broader Impact
to “Open Call For Proposals” (Special Calls may have different requirements – read these carefully) – Hypothesis driven, fundamental science project - energy relevance – White papers/pre-proposals are encouraged but not required for academic research – All proposals are peer reviewed• How much support can I get? – Peer review will assess requests versus research needs (10 CFR 605)• How long will it take for me to find out if my project is funded? – Open call is a continuous process (no fixed deadline for submission) – Reviews take 4 – 6 months to complete, awards are made based on strength of the merit review and available resources – Proposals can be held up to one year for consideration• I want to
-12 students in hopes of persuading them to peruse a degree and a career in an engineeringfield. Engineering colleges need to be doing their part to help students maintain interest inengineering.During this interactive workshop attendees will discuss why they are interested in engineeringand their preconceived ideas of what engineering students find interesting. Groups will thendiscuss current efforts they are making to help maintain interest and brainstorm new ideas toimplement. References[1] Interest. In Merriam-Webster.com. Retrieved May 20, 2018, https://www.merriam-webster.com/dictionary/interest[2] Holland. Making vocational choices (3rd ed.). Odessa, FL: Psychological Assessment
eight teams, each team will receive 18 to 24 unique comments to be used in theproblem decomposition stage discussed below. Figure 3: Students participating in a gallery walk session.Step 4: Problem DecompositionFollowing the gallery walk teams reconvene and assess feedback provided by other groups. Atthis stage the facilitator of the exercise provides a quick overview of the problem decompositionmethod. Decomposition can focus on functional aspects, processes or sequences of user actions,consumer needs, or other area important to better understanding the design challenge [4].This workshop revolves around students developing a “smart product,” which involves theapplication of technology to the problem solution design. An
institution mission and program’s expectations. Criterion 3 – Student Outcomes – documented outcomes that prepare student to achieve Program Educational Objectives. Proceedings of the 2019 Conference for Industry and Education Collaboration Copyright 2019, American Society for Engineering Education Session ETD 355 Criterion 4 – Continuous Improvement – program has documented processes for assessing and evaluating the extent student outcomes are achieved. Criterion 5 – Curriculum – must effectively develop subject areas in mathematics, technical
utilizes an advancedThe sections below, describe the different projects taught at chip, Nvidia Jetson TX2 System, and will act as athe NSU-LSMSA Makers club in addition to other platform for development in specific fields.managerial and assessment aspects of this STEM related • Energy harvesting through a trampoline. In this project, students proposed to design a sportsactivities machine where they can exercise and harvest energy simultaneously. The objective of this2. Materials taught
assess viability, risks, and schedule is one step towards assessing the viability and valueopportunities for a consortium based full engineering major. of a consortium engineering major.6. Conclusions Acknowledgement A portion of the data collection for this work was There are many factors that contribute to the value of a supported by the Teagle Foundation for a project titledlearning consortium. Students value additional course and “Working Together in the Lone Star
include a wider array of academic and social indicatorsin order to admit engineering majors from a broader spectrum of backgrounds and skillsets. Broader admission review processes will likely identify additional students from underrepresentedgroups who have great potential to be successful in engineering degree programs, but who may have beenexcluded during admission due to lower standardized scores. We anticipate that this will result inrecruiting a more diverse array of students who might not have previously considered or felt they couldsucceed in undergraduate engineering programs. Once admitted, we also intend to assess factors that leadto retention and attrition for these groups, particularly related to their uptake of student success
’ experiences differed due to features associated with academic science andengineering. Next, we compare students’ and faculty members’ assessments of their graduateadvisor within a mentoring context. Next, we review how students’ peers impact theirexperience of graduate school this section includes a discussion of how the relative size of thegraduate program and the relative number of international students impacts URM students.Faculty in recent years have faced increasing pressure to do more work with fewer resources.From the standpoint of students, this faculty “time crunch” can have implications for the qualityof interaction they can expect during graduate school.Disciplinary Differences: Academic Science and EngineeringNorms associated with