those goals. For example, thetraditional “development and dissemination” approach to teaching has been identified as a majorbarrier to the STEM reform efforts [1]. Concurrently, research from the field of Social-CognitivePsychology has investigated the role of student motivation and its impact on academicachievement [2,3,4,5,6,7,8].One theory from Psychology, Self-Determination Theory [9], states that there are three innatepsychological needs—autonomy, competence, and relatedness—which when satisfied can Page 26.1041.2promote intrinsic motivation and increase student learning outcomes. In this model, autonomycan be conceptualized as having
interest. Successful transition from analysis to design willenhance students’ ability to perform well in the capstone course where integration of knowledgeand skills is required in solve design problems.Students’ analytical skills and disciplinary knowledge play an important role in innovation in thecontext of mechanical design education.1 Efforts have been made to investigate the type ofknowledge, acquired across the undergraduate time span, students use when making designdecisions. The open-end nature of mechanical design problem requires students to “think out ofthe box,” deal with multiple choices and make trade-offs according to requirements. It wasreported that design teams in the capstone courses offer a higher number of decisions per
developed for the Introduction to ECE class.Module 1: In the first course module students get introduced to electrical and electronic circuits.The NI Multisim11 & Ultiboard12 software for circuit design, simulation and board layout areused as the software tools. A practical example on the design and simulation of a traffic lightcircuit is used to illustrate the concepts and provide meaningful experience for the students.Circuit components such as resistors and capacitors, and electronic components such asoscillators and timers, and digital logic gates are introduced and used to build a hardwarerealization of traffic light circuit. A potentiometer is used to control the timing of the signals inthe circuit.Topics covered: • Introduction to
competencies in both engineeringand design education, yet approaches to understanding them vary widely. In engineering,structured assessments like the Creative Engineering Design Assessment (CEDA) [1] andsimplified TRIZ methods [2] aim to systematize creative thinking, while industrial designpedagogy embeds iterative idea generation into studio-based project cycles [3]. Researchcomparing STEM and arts students reveals that cognitive differences may be less pronouncedthan cultural narratives suggest; when measured in structured settings, both groups exhibitsimilar divergent thinking capacities [4,5]. Despite this, persistent assumptions about engineeringstudents being less creative than design students [6,7] continue to shape educational experiencesand
can often hinge on extra-departmental fundingopportunities—institutional research centers and external grant competitions. As engineeringprograms seek to invest in the next generation of engineers, research administrators canoperationalize research effort data to identify (1) near-term undergraduate and graduate studentexperiential opportunities; (2) top-performing teacher-scholars poised to lead studentexperiences; (3) features of teacher-scholars that can be predictive of early-stage interventionsthat support their success as fundable grantees. Data visualizations in service to engineering andSTEM programs provide a high-context field of opportunity for administrators, faculty, andstudents, supporting the continued growth of the engineering
challenging endeavor due to the abstractnature of its concepts. Students often struggle to connect the mathematical for-mulations, such as matrix manipulations and transformations, with real-world ap-plications. The disconnect between theory and practical understanding can leavestudents feeling disengaged and overwhelmed [1], particularly when faced with rapidsuccessions of equations that lack context or intuition. One promising way to address this challenge is to draw on familiar experiencesand relatable analogies to make abstract concepts more tangible. Learning is mosteffective when new information builds on prior knowledge and lived experiences, al-lowing students to form meaningful connections. Without such connections, evenwell-structured
in an Undergraduate Transfer ProgramIntroduction The Student Pathways in Engineering and Computing for Transfers (SPECTRA) programis an NSF-STEM that supports high-achieving low-income students who intend to transfer froma technical college to Clemson University, a large R1 institution, and pursue engineering orcomputing degrees. The three goals of the program are as follows: (1) provide scholarshipopportunities to low-income students pursuing engineering or computing at Clemson, (2) buildcohorts of transfer students to support their transition into Clemson University, (3) assess itsprogress internally and externally to assist the transfer students and improve the program Having support at a community college, such as through a
successamong students: self-efficacy, sense of belonging, and identification with computing. Self-efficacy refersto beliefs about one’s ability to plan for and execute steps necessary for future success. 1 Research hasshown that self-efficacy promotes academic performance and motivation. 12 A sense of belonging isdefined as the subjective feeling of fitting in and being included as a valued and legitimate member of anacademic discipline, and is a known predictor of academic persistence and achievement. 9, 10, 35 Finally,domain identification refers to one’s self-definition, or the degree to which one feels that their academicpursuits are an important element of “who they are”. As a frame of reference, consider the differencebetween belonging and
that represented students at various stages of the engineering program. Studentsenrolled in these classes were primarily civil engineer majors; the rest of the students were fromvarious engineering departments and other STEM-related fields. The survey was organizedaccording to the following research questions: 1) How do students prepare for class? 2) How do students prepare for exams? 3) Is there a universal correlation between student preparation and final grades regardlessof the instructor or student background?The electronic survey was divided into two sections. The first section related to studentbackground, including student ID, which current classes they were currently enrolled in whiletaking the survey, major
drop outof engineering programs for work or family reasons after completing sophomore courses also hasinterest in this program. In addition to presenting the program design and operation, this paperdiscusses the potential market for the program nationwide, preliminary student performance, andthe results of a faculty survey about online courses.1. Program Overview Beginning in the fall 2014, the Industrial Engineering (IE) department at LamarUniversity (LU) began offering a BSIE degree in a 2+2 online format. The goal of the 2+2 onlineoption is to reach capable students who are unable to complete a traditional engineering programdue to location and time of day restrictions. The 2+2 format has students take the first two yearusing
]. There has not been any studies comparingCM learning styles and engineering learning styles. The lack of studies in this area indicates agap in the literature. This study was designed to examine the learning styles of a largerpopulation of CM students from across the U.S. and compare them to engineering learning stylesto fill the gap.Research QuestionsThe research questions for this study were; 1. What are the learning styles of undergraduatestudents in four year CM curriculum programs? 2. How do CM student learning styles comparewith other engineering student learning style studies [13, 18, 20, 21], to determine if there is adifference between learning styles specific to CM students and engineering students, as has beencalled for by Felder and
identified as an essential component in the U.S. STEM Educationsystem with a total of 1,738 2-year institutions: 967 public, 100 non-profit and 671 private.1 In2012, there were over 20 million students enrolled in an academic institution across the UnitedStates with over 6 million being educated at a two-year public institution.2 These public two-year institutions also have a large population of underrepresented minorities with approximately34% of the total number of African Americans enrolled in an academic institution and 46% ofthe total number of Hispanics students enrolled in academic institutions.3 In addition toexpanding underrepresented minority participation through institutional partnerships with two-year public institutions, 33% of the
, signal integrity and THz sensors. He is a member of IEEE and ASEE. Page 26.1685.1 c American Society for Engineering Education, 2015 Using Systematic Literature Reviews to Enhance Student LearningI. Introduction and motivationLiterature review is a skill assumed to be in the arsenal of all graduate students pursuing thesisoptions at the MS or PhD level. There are many resources on writing literature reviews, fromcampus writing centers to books such as Machi and McEvoy.1 One would also assume that this isamong the very first tasks that research-oriented students would undertake. However, our
iscategorized as inter-level. Students’ trans-level triad classification is based on their abilityto answer the question correctly in the entire domain. Page 26.213.6 The Question The following question is designed to observe participants’ ability to transform analgebraic function from to its geometric/graphical representation by calculating the relatedlimit and derivative questions. A2G Problem: Please draw the graph of f ( x) = xx+1 at (e) below by finding and applyingeach of the following information if they are applicable.a) Vertical and horizontal asymptotes of f(x) and limiting values of f(x) at the vertical asymptotes if there exists any
which is required of some of the 4+1 Programsavailable in engineering and computer science for students to be able to earn a Master’s Degreein one year after their Bachelor’s degree.Which parts of the Plan are the most important to the students, in general, was not known. In Fall2015, a survey on the components associated with the 4.0 Plan was given to a class of 62students with 59 students (95.2%) responding. The results of this survey are given and analyzed.These results give insight into how the 4.0 Plan is perceived by the students and can be used infuture instruction of the 4.0 Plan. The goal of all this is to help the ENGR student understand thatthere are things to learn about learning and methods that can be used to enhance learning.For
be used to experiment with Buckconverters, Boost converters, Buck-Boost converters, closed-loop voltage mode control of aBuck converter based on the K-factor approach, peak current mode control of a Buck converter,flyback converters, and forward converters. Configuring the board to implement any of theconverter circuits just involves flipping selection switches on the board, connecting a couple ofwires between appropriate screw terminals, plugging in the appropriate magnetics board, andconnecting external power and loads. Fig. 1 (taken from the UMN lab manual) depicts thewiring (shown with thicker lines) needed to configure the PPB as a buck converter. The DCinput voltage to be stepped down is connected to the left side of the board via
course wasCapital Investment Analysis for Engineering and Management, 3rd edition, by Canada, Sullivan,White, and Kulonda.After teaching AdvEngEcon in 2014, I decided to provide an enhanced treatment of real options in2015. Toward that end, I developed a tutorial, targeting undergraduate students enrolled inAdvEngEcon. The tutorial has been revised numerous times in an attempt to increase its value tostudents taking the course. A copy of the tutorial for the 2016 spring semester is provided in theAppendix.My purposes in preparing this paper are twofold: 1) encourage engineering economy educators toincorporate real-options analysis in their engineering economy courses and 2) share lessons learnedin teaching the subject of real-options analysis to
, gradually explaining concepts of higher levels of complexity by looking at puzzlesfrom different points of view.As efforts are currently being explored by a number of educators to achieve a similar goal, thisproject focuses on creating a working manuscript for instructors to explain many key topics inControl Systems using puzzles and teasers. This is part of a greater effort at Florida AtlanticUniversity, where this approach is currently being applied to different subjects in STEM.To gauge the receptiveness of the methodology, a few puzzles and activities were used over thecourse of a semester in an Electrical Engineering class entitled “Control Systems 1.” The results,based on 40 student responses, were promising. Most students strongly agreed
comparisonacross multiple years. These visualizations include tracking of student performance on a range ofstandardized assessments including the Force Concept Inventory (FCI).1 the Force and MotionConceptual Evaluation (FMCE) of Thornton and Sokoloff (1998)2, and the Brief Electricity andMagnetism Assessment (BEMA).3 Assessments can be viewed as pre- and post-tests withcomparative statistics (e.g., normalized gain), decomposed by answer in the case of multiple-choice questions, and manipulated using prespecified data transformations such as aggregationand refinement (drill down and roll up). The system is designed to support inclusion of a rangeof supervised inductive learning methods for schema inference, unsupervised learning algorithmsfor similarity
assignments, making it easier to identify irregular behavior and struggling students so instructors can provide targeted interventions. his paper explores various approaches to effectively utilize the Student BehaviorTInsights feature, providing early use cases and recommendations. It is important to note that Student Behavior Insights is not a "plug-and-play" solution for detecting cheating but is intended for use at the instructor's discretion. Additionally, this feature can serve as a predictor of student struggles. We will present examples of how to use the feature to gain insights into: 1) a student who works earnestly, 2) a student who is utilizing an outside source for their work, 3) a student who
experiences in engineering, aspira-tions to pursue postgraduate engineering degrees, and emotional well-being [1]. It has also beenshown that female mentors are more likely than male mentors to positively influence mentees’ sci-ence careers and that mentees with female mentors are more likely to view their mentors as goodrole models [2]. The National Academy of Sciences, Engineering, and Medicine released a reportin 2019 describing the science behind mentoring programs. Among their results, they found thatstudents with a mentor are more likely to succeed in their major [3]. Similarly, studies indicatedthat 100% of women in engineering who had women mentors continued in engineering, which is14% higher than those without mentors and 18% higher than
regulations, preparing them to design projects that meet legal and ethical standards. Thecourse emphasizes the importance of protecting public health by addressing environmentalhazards, ensuring clean water, air, and soil for communities.Integrating environmental education into the undergraduate engineering curriculum is crucial forraising environmental awareness early in students' careers [1]. It teaches students how to analyzeproblems, identify causes and effects, and understand the conditions under which certainprocesses occur and their impact on environmental quality. The growing recognition of theimportance of introducing concepts such as environmental engineering, green engineering,pollution prevention, and design for the environment to
analysis of thedegrees of freedom for stage-wise separations, however, do not offer a generalized formalism fora broader range of problems. Rodriguez and Gayosos12 extended an earlier formalism proposedby Ponton13, also for stead-state processes.Current texts, however, offer a number of starting points that are quite useful. Felder andRousseau1 present and illustrate a degrees of freedom approach wherein they state that: ndf = nunknowns – nindependent equations (1) where ndf is the number of degrees of freedom, nunknowns is the number of “unknown variables”and nindependent equations is the number of “independent equations” relating the
for students, many universities areturning to social media to outreach to potential students. Social media has been found to performan essential role in shifting sentiments, moods and overall image a university portrays [1]. Thisstudy examines the forward-facing presence of university engineering programs at two publicuniversities. This study uses content and textual analysis and the lenses of occupationaldemography and feminist post-structuralism to make sense of the messages the programs areportraying to potential students and other stakeholders about the student experience and learningoutcomes valued by the university. The study examines social media posts on Instagram,LinkedIn, and Facebook, as well as the university website and publicly
our rankings.IntroductionAcademic programs are ranked using different objective and subjective metrics, providingdifferent perspectives on the quality, productivity and affordability of the programs. Programrankings are closely followed by aspiring students, universities and employed in hiring andfunding decisions. Among the many rankings of programs, U.S. News rankings have a widefollowing. U.S. News updates the ranking of graduate programs in multiple fields annually.According to the statement from U.S. News’ website 1 , they rank the graduate programs based onboth statistical data and expert assessment data. The statistical data includes both input and outputmeasures, reflecting the quality of resources into the programs and educational
their STEM outreach. Although the event waslabeled as being national, the vast majority of teams were located near the company’sheadquarters. The recruitment begins in October and the final contest is in mid-February. Thereare several checkpoints along the way which determine whether a team has accomplishedenough to stay in the contest. This paper describes one high school competition that began as a“national competition” at a single location in 2009 and has evolved over the past three years to acompetition that now includes three regional contests where national qualifiers are selected tocompete nationally.IntroductionIn 2010 the authors approached Phoenix Contact 1, an international controls company, to becomea technology supplier for a grant
and transgender (LGBT) individuals in U.S.workplaces often face disadvantages in pay, promotion, and workplace experiences.1-7 It is stilllegal in many states to fire LGBT persons due to sexual identity or gender expression.8 Recentscholarship on the experiences of LGBT students and professionals suggests that thesedisadvantages may be particularly pernicious within science and engineering-related fields, giventhe patterns of heteronormativity and heterosexism documented therein.9-12 LGBT faculty inscience, technology, engineering and math (STEM)-related departments face harassment anddiscrimination, marginalization, and chilly departmental and classroom climates.10 In a study oftwo NASA centers, furthermore, LGBT professionals encountered
been employed. Thiscourse is entitled “Introduction to Mechanical Engineering Practice,” and is a required course formechanical engineering majors. The course comprised of three hour-long lectures every weekalong with a group project in reverse engineering. The lecture classes were devoted to the basicelements of mechanical engineering practice which came from a text entitled “An Introduction toMechanical Engineering.”[1] This text introduced the students to the vocabulary, skills, andapplications associated with the mechanical engineering profession. Chapter 1 of the textintroduces the profession of mechanical engineering, and the next seven chapters talk about thevarious disciplines within mechanical engineering with intent to develop useful
c American Society for Engineering Education, 2015 1 Data Management Model Selection: IT Professionals’ preferences Gholam Ali Shaykhian, Ph.D. Mohamed Abdelgadir Khairi, Ph.D. Jinan Ziade, ABDAbstractData Management Models selection (Centralized Data Model or Federated Data Model)for managing organization data is influenced by many factors. The goal is to determinethe best architectural model for managing enterprise data; and help organizations to selectan architectural model. The study compared and contrasted the federated and centralizeddata models within
and analyze the electrical impedance of biological tissues, the use of fractional-order equivalent circuit models, and exploring impedance-based sensing for health-focused applications. ©American Society for Engineering Education, 2025 IRES: Undergraduate Engineering Students Intercultural Communication Competence Before and After Participation in a 12-week International Research Experience in the Czech RepublicIntroductionUndergraduate research is a high-impact educational practice [1] that provides opportunities forstudents to develop their research and technical skills, network with other students/professors,raise their awareness of graduate studies, and understand the social context