Paper ID #20898High School ACT Math Scores: Why and How Do We Use Them?Dr. Sungwon Steven Kim, Minnesota State University, Mankato Dr. Sungwon S. Kim joined the Mechanical Engineering faculty at MSU Mankato in January of 2011. He received his Ph.D. degree in Mechanical Engineering from Purdue University (2008), working in the area of synthesizing carbon nanotubes, his M.S. degree in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST), working in the area of designing and analyzing double spiral heat exchangers, and his B.S. degree in Mechanical Engineering from Korea University (2000
is applicable across CAD software packages and independent of instructorbackground.BackgroundA Concept Inventory is a tool that uses a multiple choice assessment with carefully chosendistractors. These distractors are typically influenced by student responses to find commonlymisconceived concepts. The engineering graphics CI is framed around 10 main conceptsidentified by a Delphi study comprised of graphics professionals [2]. More information regardingthe origin of this particular CI and the Delphi study can be found in Sadowski, M and Sorby, S.2013 and 2014.Solid modeling constructs were identified as important by the Delphi panel [3] but the pilot studyof the CI using the original CAD-related questions developed by the researchers did not
and teaching, 21st century learning skills, using technologyin the classroom, and STEM career awareness (The Friday Institute for Educational Innovation,2012b). The Teaching Design, Engineering and Technology (DET) survey measures teacherperceptions and familiarity with these subjects and perceived barriers to teaching these topics.The DET survey has 40 questions using a 5 point Likert scale (Tao, Purzer, & Cardella, 2011).TRAILS students are being surveyed to assess interest and confidence in learning STEMsubjects as measured by the Students Attitudes Toward STEM Survey (S-STEM) for middle andhigh school students (Friday Institute for Educational Innovation, 2012a). Student participantsare surveyed in both the experimental and comparison
educational partners; 2. Consideration of applicant’s letter(s) of recommendation; 3. Consideration of applicant’s statement describing the reason for his/her interest in participation in this program, in addition to his/her commitment to seeing this program through the summer and into the classrooms; 4. Consideration of applicant’s mentoring history in the classroom, including developing innovative teaching methods in STEM fields, leadership in after-school STEM activities, encouragement of students to participate in external outreach programs (for in-service teachers only). 5. Additional consideration of GPA (>3.0) for pre-service teachers, their extracurricular
academic performance. Thepercentile of students from each academic program participating in the honors program isshown in Table 1.In light of the above success, a second program using a similar model was established. TheSchool of Engineering has an S-STEM grant which is currently in its final year ofadministration to support scholarships for females, minorities and economically challengedstudents. The activities produced for this cohort have been singled out by the students andthrough program assessment as being impactful for student success to aid them in maintainingthe grade point averages to keep their scholarships (> 2.5 for freshman; >3.0 all years after). Table 1. Percentage of Honors Students in Each Discipline from 2006-20161
mentoringprimarily suited to only one of their multiple hats. Given their limited resources, this is also aconcern for formal faculty development programs. In this section, we will show how the primaryskill sets from Arreola et al.'s "Meta-Profession" project [12] are orthogonal to and illustratesome of the available sources of faculty mentoring and faculty development programs across themultiple hats faculty wear. Part of our choice of the Meta-Profession project is rooted in itsorigins: the concept grew out of the need to define the role of teaching in a comprehensivefaculty evaluation program [13]. As such, the skills sets described below are formed for use asmentoring/development prompts, a part of faculty evaluation, and a means to supporting
Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. Dr. Carberry was previously an employee of the Tufts’ Center for Engineering Education & Outreach and manager of the Student Teacher Outreach Mentorship Program (STOMP).Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, biopolymers, and nanocomposites. Dr. Harding has served as PI of a multiinstitutional effort to develop psychological models of the ethical decision making of
Empirical Study. Paper presented at the International Conference of Design Research Society.Anderson, E. (2003). A place on the corner (2nd Edition ed.). Chicago: University of Chicago Press.Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96(4), 359-379.Brown, G. S., & Strange, C. (1981). The Relationship of Academic Major and Career Choice Status to Anxiety Among College Freshmen. Journal of Vocational Behavior, 19(3), 328-334. doi:10.1016/0001-8791(81)90067-1Crismond, D. P., & Adams, R. S. (2012). The Informed Design Teaching and Learning
: M = {X, Y, S, ta, δext , δint , λ},Where:X - set of input events;Y - set of output events;S - set of sequential states (also called the set of partial states);ta - time advance function used to determine the lifespan of a state;δext : Q × X → S - the external transition function defining how an input event changes astate of the systemδint : S → S - the internal transition function describing the way how system state changesinternally ϕ ϕλ :S →Y - is the output function where Y =Y ∪{φ} and φ ∉Y is a ”silent” or an”unobserved” event.Our model consists of the several equipment units represented as atomic models. Units statesare updated dynamically starting from the physical representation of the
, 1524601, and 1524607. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References1. K. Schneider, A. Bickel, and A Morrison-Shetlar, “Planning and implementing a comprehensive student-centered research program for first-year STEM undergraduates,” Journal of College Science Teaching, vol. 44, no. 3, pp. 37-43, 2015.2. K. Schneider and A. Bickel, “Undergraduate research apprenticeship model: graduate students matched with STEM first-year mentees,” Council on Undergraduate Research Quarterly, vol. 36, no. 1, pp. 25-31, 2015.3. J. Frechtling. “The 2002 user-friendly handbook for project evaluation,” National
Individual Approach Our Team Approach Number of Interviewers One Four Number of Interviews 20-30 42 (plus four pilots) Number of Analysts One Seven Expertise of Analyst(s) Expert/Near Expert Novice to Expert Number of Critics Involved 1-3 All Critics’ Knowledge of Data Limited Comprehensive Interdisciplinary Expertise None (or minimal) Yes (broad)Research Quality in PhenomenographyWalther et al. [2] argued that quality should permeate all aspects of the research design. They de-veloped the Q3 framework to help
-solving skills and provide them with the culminates in a final design project that requires students totheoretical technical background required in any engineering construct and program a robot that is capable of playingfield. Students are typically required to take a physics and/or “soccer.” It should be noted that direct contact with suchother science course(s), a math course, and an introduction to advanced applications is frequently not encountered until theengineering course. This introduction to engineering course last two years of study.may focus on teamwork, interdisciplinary collaboration,design principles, and a conceptual overview of the various BACKGROUNDengineering disciplines. In
, while Dr. Ahmed Faheem instructs Materials and Pavement relatedcourses. Table 2. Integration of SHRP2 Products in Other Three Institutions CEE course Level Instructor(s) Temple University (TU) Transportation Engineering Materials Senior\Graduate Structural Design of Pavements Senior\Graduate Ahmed Faheem Pavement Maintenance and Rehabilitation Senior\Graduate Villanova University (VU) Introduction to Transportation Engineering Sophomore Engineering Economics Junior Seri Park Transportation systems Design Senior West Virginia University (WVU) Urban Transportation
student learning and professional formation that are well-recognized inengineering education.Additionally, when we understand shame as an internal experience of individuals related to socialconnection, we can see compelling threads of this phenomenon in engineering education research. Forexample, Foor et al.’s ethnography highlights Inez’s painful experience of desiring acceptance by otherengineering students.13 Additionally, in their grounded-theory study on help-seeking behaviors, Herringand Walther highlight how several participants avoided seeking help in classes. As voiced by one of theirparticipants, “I’m thinking about what they think about me, and I don’t want to be thought of as that guythat’s behind or that guy that’s a little bit
; discussion; discussion; decomposition, between group between group testing; communication discussion discussion; try to identifying an etc.) see what works issue(s); reprogramming; retesting (physical actions) Endorsed What does a robot Think about the Talk about ideas; narrative do; what are the blocks you can what we are (abstraction, data parts or pieces
PortfolioGoals for AFOSR to strengthen the Air Force basic researchprogram as defined in AF S&T Strategic Plan: • Provide scientific leadership for the AF basic research enterprise • Attract the Nation’s/World’s best S&Es to contribute to and lead AF/DoD research • Ensure the coherence and balance of the AF basic research portfolio • Foster connections between AFRL researchers and the National/International basic research community • Maximize the discovery potential of the defense research business environment Focus on the Future AF with the ultimate goal to make Today’s AF and Tomorrow’s AF Obsolete! 7 Shaping the
product multiplication, anduse of i, j, k unit vectors), unit conversions, and dimensional analysis. If they lack calculus orvector algebra, an introductory course in these subjects could be taken during the first semesterof their senior year while taking GSEN. Topics such as vector algebra and dimensional analysiscan easily be integrated into existing algebra and pre-calculus courses. In many cases thesetopics are already being taught and only lack an engineering applications emphasis. In somecases special primer courses can be developed to address deficiencies in pre-requisite subjects.The instructor(s) for a GSEN type course does not need to possess an engineering background(although preferred). Only a background in instructional applied
between thestudent and professor. Sometimes the contract is required to specify deliverables.An independent study usually addresses a topic that is not covered in a regular course. Facultycan use them to build up their teaching and research program. For example, an independent studymay be used to introduce a student to a particular research area in which (s)he may pursue athesis (though in some cases, students are not allowed to earn both independent-study and thesiscredits on the same topic). It may also be used to assist another student on a thesis project, aswhen an undergraduate gathers data that a graduate student can use in writing a thesis.Independent studies can also be used to enrich existing courses. A faculty member may want
ECE Core Course Digital I Computer Networks Microprocessor Design I Networking M Machine Design Engineering Drawing A Hands-on Skills Machining Skill Circuit Design P Java & Visual BASIC S Limnology BIO Core Course Environmental
ce le ge S ad ca H en M le -R tis at ci ol
pattern in the database that mostclosely matches the learner’s error. Once the most similar error pattern has been identified, themisunderstood concept(s) will be displayed for the learner to see. System randomly selects and administers test questions at Pre-test various knowledge levels Questions
lease agreement required that thetractor be returned in the same condition in which it wasreceived, it made a fine test bed for the ensuing project. F i g 1 : T r a c t o r U s e dThe second major resource made available was the easy availability of hydrogen gas resultingfrom the presence of the electrolyzer itself. The unit was a Hydrogenics model HySTAT-30refueling station6 which consists of a generation and compression module, storage ability and adispenser module. This system is capable of producing about 30 kg of hydrogen per day and isable to dispense the gas at controllable pressures up to 5000 psi. The water supplied to this unitwas
was held in Fort Smith, Arkansas where the girls attend the BESTrobotics competition with SHS. During this competition, the girls helped the high schoolstudents staffing the S HS team booth; help out with the robot with repairs, and even driving andspotting the robot during the competition itself. The girls enjoyed the activities tremendously. Page 13.29.6Saturday Activity 2 – Box it UpThe second activity has not occurred at the time of this writing (February 2008). The secondactivity will introduce prototyping using CNC (computer numerical control) and 3D rapidprototyping - technologies used in design and development, manufacturing processes
industryReferences: 1) Clough, G. Wayne (2004). The Engineer of 2020. The National Academy of Sciences. The National Academics Press. Washington, D.C. 2) Todd, Robert H. and S. P. Magleby (2004). “Creating a Process to Design a Capstone Program that Considers Stakeholder Values”, Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition, Salt Lake City, Utah, June 20 – 23, 2004 3) August, Randy, Francis DiBella, Len Dowd, Jerome Tapper, and Joel Weinstein (2006). “A Description of an Integrated Capstone Project Team with Electrical, Mechanical and Computer Engineering Technology Students”, Proceedings of the 2006 American Society for Engineering Education Annual Conference &
. “Derive and expression for the resistance, Req, for the small-signal circuit.”This homework was graded and returned to the students. If they did not do well, they were givenadditional problems to complete. About a week later, the first quiz was administered. Theresults of this initial change showed marked improvement in the student’s scores on the first quizand exam of the microelectronics course. Details of the improvement are discussed in the resultssection.After the first feedback cycle, a year later, the professors met for a second round of discussionsto find further improvement techniques. This discussion brought to light one of the majordifferences found between the sophomore and junior level courses – other than s-domainanalysis, which was
spectrum analyzer for frequency-domain measurements, which is a new topic tomost of the students entering the course. The second laboratory experience in vector networkanalyzer (VNA) measurements coincides with the lecture topic on network analysis, duringwhich students learn how to calculate S-parameters of electrical two-port networks that containresistors and transmission lines. At this point in the semester, students have obtained a basicgrasp of microwave basic theory and also have learned techniques of measurement equipment.The course then turns to topics of passive circuit design. Matching networks are discussed,including two-element lumped “L-section” networks and distributed, single-stub matching networks.Agilent Technologies’ Advanced
spectrum analyzer for frequency-domain measurements, which is a new topic tomost of the students entering the course. The second laboratory experience in vector networkanalyzer (VNA) measurements coincides with the lecture topic on network analysis, duringwhich students learn how to calculate S-parameters of electrical two-port networks that containresistors and transmission lines. At this point in the semester, students have obtained a basicgrasp of microwave basic theory and also have learned techniques of measurement equipment.The course then turns to topics of passive circuit design. Matching networks are discussed,including two-element lumped “L-section” networks and distributed, single-stub matching networks.Agilent Technologies’ Advanced
qualities of honesty andobjectivity, avoidance of conflicts of interest…and making decision[s] which are fair and basedon merit.” These themes are also consistent with the themes of the NAFTA Code of Ethics,specific to Canada, the US and Mexico, and designed expressly to be equivalently worded inFrench, English and Spanish.15 These themes match well to our module themes 2-6. We havealso included the more specific themes of modules 1, 7, & 8 because engineers and researcherswho will be working in the U.S. should be conversant with the specific laws, rules, andexpectations concerning ethics codes, intellectual property, data integrity, and research practices.Each module is intended to require one hour (nominally) to complete, and consists of the
; • Develop an innovative 200-level course that meets the needs of engineering students; • Ensure that problems related to engineering are emphasizedThe current manuscript will discuss the process and design of a four semester credit hour coursethat will include the key elements of multivariable calculus and differential equations with theprerequisites of traditional MA 125: Calculus I and MA 126: Calculus II courses.Needs of Engineering Students – Faculty InterviewsThe authors interviewed faculty from Biomedical Engineering, Electrical and ComputerEngineering and Mechanical Engineering who taught any course(s) that had/have either MA 227:Calculus III or MA 252: Introduction to Differential Equations as a prerequisite or had one ofthese courses
questionwhether or not the module content best represents the BOK.As this step is the most practical part of the methodology to develop a curriculum, manyquestions about the details of teaching a course like this arise. Some of the modules may not bein accord with the traditional way the topics within the module have been taught. Thus, there arequestions about which examples to use, which textbooks or supplemental material should beused, and which professor(s) will teach the modules. Questions may also arise when combiningtopics in a module that have been taught individually either in a lecture or laboratory setting.This step requires time, patience and communication with those responsible for teaching thematerial and making the semester schedule