the department a safer andmore supportive place where all students can learn better and continue with their researchcareers.Session Diversity, Equity, Inclusion, and Access / Undergraduate ResearchKeyword graduate school / gender minority / undergrad researchIntroductionIn the United States, 40% of women in science, technology, engineering, and mathematics(STEM) leave the field after graduation [1]. Nonbinary and transgender students in STEMare also 7% more likely to transfer to non-STEM departments than their cisgender peers[2]. While an estimated 19.5% of electrical engineering bachelor’s awardees in the UnitedStates in 2021 are of historically underrepresented or marginalized genders—cisgenderwomen, nonbinary and transgender people, a
recognizable application or association.These results indicate an effective structure for distributing scientific information and facilitatingcommunication between scientists and the general public, which could benefit public trust inscience and societal wellbeing.1. Introduction1.1 Problem Identification Concern for the relationship between scientists and the public at large is not unique to ourcurrent moment in society, and the notion of a growing communication gap has been debated forover a century [1, 2]. Attempts to characterize the relationship between the public and science haverevealed large number of factors that affect this gap. These factors include parental and communityinfluence, issues of trust related to interests and
across two key areas, implementation and practicality, and found both to be satisfactory. This study is important in understanding how to identify areas of equity covered in K-12 CS education research and areas that need more attention in order to build a broader set of research knowledge for identifying promising practices for all learners.1 IntroductionK-12 computer science (CS) education is rapidly expanding, as well as the need for moreeducation research to investigate promising practices–particularly those that study across theeducational ecosystem and the broad range of student populations and groups. With the differentsubgroups of students that are only becoming more diverse, particularly in the United States,there is a
to these programs is needed to create and foster existing interest thatcould lead to STEM careers. Additionally, it has been shown that student’s interest in STEMbegins decreasing in middle school, thus hindering the pathway to a STEM career. Through thisprogram, we aim to increase access to STEM fields by exposing elementary and middle schoolstudents from low-income and underrepresented (UR) communities to STEM career pathwaysthrough hands-on activities and continued mentorship. The activities will be offered incollaboration with community partners (e.g., YMCA, Big Brothers Big Sisters) to facilitatestudents’ engagement in STEM beyond the classroom. By offering this program, we aim to (1)inspire continued interest in STEM and (2) strengthen
technology can opt in to this residential community in their freshman year. Thecommunity is typically comprised of 100-150 students in any given year. In addition to socialprograming throughout the year, the community is supported by a faculty fellow from the Schoolwho interacts with the community throughout the academic year. Math tutoring is provided fivenights per week. Students do not necessarily have to major in disciplines in the School or even beeligible for courses in the School.Due to the increase in popularity of majors in the School and by extension in the residentialcommunity, the residential community increased from one wing to three wings beginning inYear 1, providing a sufficient number of students to pursue residentially connected
● Be professional in communication with groups and group membersTable 1 shows the rubric provided to the peer mentors demonstrating grading standards. © American Society for Engineering Education, 2023 2023 ASEE Illinois-Indiana Section Conference Proceedings Table 1 Peer Mentor Rubric Requirement Value Student group rating of peer mentor 10 Attendance at Meeting 1 5 Attendance at Meeting 2 5 Attendance at Meeting 3 5
2023 ASEE Illinois-Indiana Section Conference ProceedingsWork-in-Progress: Transformation of a School of Engineering Technology Gateway Experience Rustin Webster* Matthew Turner Brittany Newell Purdue University Purdue University Purdue University rwebste@purdue.edu ABSTRACT This work-in-progress (WIP) paper begins to 1) describe the transformation of a School ofEngineering Technology (SoET) gateway experience and 2) explore students’ outcomes andperceptions in the general areas of preparedness for success, satisfaction, learning preference,and competency development. In
classroom, has been gaining momentum for morethan a last decade. The number of studies focusing on flipped teaching has dramaticallyincreased since 2010 and ASEE is one of the most frequent venues for these publications [1].Flipped learning is generally considered to include four key parts [2]. First, the learningenvironment should be reorganized so that time in-class is flexible to the learning needs ofstudents. Second, learner-centered activities should be adopted to match the students served.Next, the difficulty of material should be monitored and active learning strategies leveraged toimprove student understanding of key concepts. Last, the faculty should track studentperformance and provide timely feedback [3].Overall, the design of flipped
platform, for multiple purposes: 1) Improve the Microsoft Azure Speech-to-Text accuracy by preparing a list of domain- specific terms with high confidence of occurrence in the audio, 2) Provide the input for the glossary tool, another text analytics service in ClassTranscribe that automatically generates the explanation for the domain-specific terms, and, currently in progress, 3) Provide search capability in order to locate the moments in the video when a domain- specific term is visually presented. In this paper, we evaluate the performance and accuracy of the PhraseHinter sys- tem based on a representative corpus of videos from different engineering disciplines with domain-specific terms and phrases correctly pre-identified. We
potential risks and developing strategies andpolicies to ensure ChatGPT is used as a supplement, not a replacement, for traditional teaching methods.Keywords“ChatGPT”, “engineering education”, “teaching strategies”, “technology in engineering education”,“faculty paper”1. Introduction The use of online and digital learning platforms has become increasingly prevalent in highereducation to increase access and flexibility for students [2]. This has led to the development of new toolsand technologies, such as AI-powered chatbots and virtual reality simulations, which can be used toenhance teaching and learning in a number of ways, including by providing personalized learningmaterials, interactive exercises and assessments, and instant feedback and
to change the text extractionfocus, adjust the frame of the focus to extract text from, screenshot the frame, and extract tabularinformation or text from the image. Finally, the wizard prompts the user to repeat the textextraction on the same HTML element or pick a new extraction focus. Our Text Extraction Application follows this general flow chart (Figure 1): it uses theJavascript Canvas API to screenshot the extraction focus: a video or image. The application thencrops the screenshotted image based on the user's input. The cropped image is reduced to twocolors, given padding, and borders are placed around the image. These three techniques improvetext accuracy. For tabular extraction, this additional preprocessing is omitted for
computer scientists are needed to meet the demands ofthe current economy, and even more will be needed to meet the demands of the economy of the* corresponding author: don.mueller@pfw.edu © American Society for Engineering Education, 2023 2023 ASEE Illinois-Indiana Section Conference Proceedingsfuture. According to the Bureau of Labor Statistics [1], the job outlook for engineering andcomputer scientists is growing, e.g.• employment of software developers, quality assurance analysts, and testers is projected to grow 25% from 2021 to 2031, much faster than the average for all occupations;• employment in computer and information technology occupations is projected to grow 15% from 2021 to 2031, much
are of great importance in thedevelopment of competent and environmentally sustainable engineers. As a business law facultymember of the Foster College of Business at Bradley University, this paper will describe myexperience as a recipient of the EOP’s Mini-Grant Program that allowed me to develop LearningManagement System (LMS) modules using three topic areas from the EOP framework related toenvironmental literacy, responsible business and economy, and social responsibility © American Society for Engineering Education, 2023 1 2023 ASEE Illinois-Indiana Section Conference Proceedings Work-in-Progress
2023 ASEE Illinois-Indiana Section Conference Proceedings 1 Redesign of Purdue Construction Engineering and Management 2 (CEM) Capstone Course 3 Brandon Fulk Kyubyung Kang* Purdue University Purdue University fulk@purdue.edu kyukang@purdue.edu 4 5 INTRODUCTION 6 7 In large part, the evaluation of construction engineering education has gone untouched 8 since its inception post-WWII (Abudayyeh et al., 2000). More specifically, the curriculum 9 and overall content for the construction engineering education within the Purdue10 Construction Engineering and Management
2023 ASEE Illinois-Indiana Section Conference Proceedings Work-In-Progress: Can We Create a Model Program: Insights into the Effectiveness of a Research Experience for Undergraduates La’Tonia Stiner-Jones* The Ohio State University stiner-jones.1@osu.eduAbstractThis study expands on our prior work of the Research Experience for Undergraduates (REU)SITE program to provide data on participant preparation for success in graduate school and theirperceptions of the program. In the first two studies from our initial cohort, we summarized thatwe effectively provided an independent research experience, increased
learning outcomes in mind. By thecompletion of the lab experiences, students should: 1. Gain familiarity with and experience with Programmable Logic Controllers 2. Program a PLC using ladder logic for real-time control 3. Become familiar with pneumatic systemsDirect and indirect assessment methods were used to assess the effectiveness of these labexperiences in student achievement of the learning outcomes.This paper presents some detail on the design and development of the laboratory experiences,as well the assessment strategy and results from the pilot offering of these exercises.Development of Laboratory ExperiencesAs stated in the Introduction, the primary goals of the laboratory experiences presented in thiswork were to familiarize
a bike is not a new concept but making the system foreducational purposes especially used as a robust hands-on learning tool for students is somethingnew. There are some published works where authors constructed a similar system with a focus ongenerating electricity in regions with no power due to either a temporary natural disaster orremoteness from electrification. Others focused on harnessing waste energy from peopleexercising on machines in a gym to instantly run some tiny electronic device or to store for use[1]-[4]. Also, a pedal-powered generator was constructed in [5]-[8], where the efficiency of theoverall system was analyzed and the system was proposed for use either alone or along withphotovoltaic modules for rural areas in
[1]. Ingeneral, the procedure of TSM includes three processing pipelines: signaldecomposition, frame relocation adaption, and signal reconstruction. Both parametricand non-parametric methods are applied to analyze and decompose signals [2-6]. Arepetitive window breaks audio into monophonic and polyphonic, where sinusoids arerepeated to match the desired length. Monophonic favors time resolution, whilePolyphonic favors frequency resolution. The problem with this technique is that you getlong stagnant tones that jolt suddenly to new frequencies. Even visually, audioprograms struggle to display stretched audio. This method is fine for stretching audio alittle to moderate amount. Finally, the third method, audio slicing, cuts the signal up
presented. Concept maps were found to be a useful, constructivelearning tool for visually connecting and organizing course topics for both students andinstructors. The results are limited to a single, primarily undergraduate institution with smallclass sizes. Future work will seek to expand the data set by including multiple institutions.IntroductionA concept map (also known as a mind map or a knowledge map) is a graphical way to representand organize relationships between course topics and ideas and draw connections betweenconcepts [1-2]. Mapping is achieved by drawing connecting lines between concepts in a visualrepresentation. It was introduced as an educational tool more than thirty years ago. Concept mapshave been successfully used in a
2023 ASEE Illinois-Indiana Section Conference Proceedings Specifications Grading in Undergraduate Fluid Mechanics Julie Mendez Indiana University-Purdue University Columbus mendezju@iupuc.eduIntroductionAlternative grading practices are being used increasingly in science, technology, engineering,and mathematics (STEM) courses in place of traditional points-based grading systems [1]–[17].One such method is specifications grading, in which student work is scored pass/fail according towhether the assignment submission met the provided requirements. The final course grade isdetermined by students completing pre
. CEMT 28100 Years 2005 - 2017 2018-2022 Number of Students 287 67 Exam 1 68.6 73.1 Standard Deviation 8.2 10.2 Exam 2 74.3 77.4 Standard Deviation 9.8 10.1 Exam 3 77.8 79.6 Standard Deviation 8.8 9.3 Exam Average 73.6 76.7 Homework
“hands-on” academic programs, like those in engineering technology, require laboratory courses or components within courses to acquaint students with actual hardware components, instrumentation, and software. Breadboards are used to serve as a way of connecting devices in electrical and electronic programs. Breadboards like the one shown in Figure 1 are often used to make connections easier. Spring-loaded entry
interaction with other research students. Jeremy Flores was included in the meetingsof the whole DNR research group and pointed towards the web pages for the Division ofNearshore Research (http://lighthouse.tamucc.edu) with past presentations and backgroundmaterial on water level forecasts. Jeremy was also given some literature to study, starting with atextbook on entropy4. Theoretical BackgroundNeural NetworksA neural network mimics the function of the human brain. It takes its inputs and processes themthrough a network of neurons, usually arranged in two or more layers. The neurons combineweighted inputs, add a bias and then apply a transfer function before giving their output as aninput for the next layer. Figure 1
clocks (1).The microcontroller is available in a PLCC configuration, making it difficult to prototypewithout surface mount technology and dedicated development boards. Therefore, DallasSemiconductor has released two parts that aid in the development, the DSTiniM400 andthe DSTiniS400. Shown in Figure 1, the DSTiniM400 is a small card that integrates themicrocontroller with additional components. These components include a real-time Figure 1 — The DSTiniM400 Board Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Educationclock, 1MB flash ROM, 1MB static
courses that they are taking in another track. Ideally, each student willcome out of the program understanding how everything that they studied fits together,rather than thinking of it as just a series of independent courses. This fits into our goal ofinterdisciplinary study and the view of security engineering as a discipline that is appliedto other fields. Individual courses in the program are described in detail below and asummary chart of all courses is provided in Table 1. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationApplied Security Track
difference andfinite element techniques. The article also discusses possible curriculum modificationsfor accomplishing the outlined goals. III. Finite Difference approach for formulation of heat transfer problemsThe finite difference method is based on replacing derivatives by differences. A heattransfer formula consists of a differential equation. In the finite difference method, thederivatives in the differential equations are replaced by differences. For example, it canbe shown that the finite difference formulation for a one-dimensional steady heatconduction is as shown in equations (1) and (2). Figure 1 is a schematic that clarifies thenotations used in equations (1) and (2). Equations (1) and (2) are derived
modules areconducted to provide knowledge on physical strengths of the materials that are used in theproject. These material characteristics are then used to support structural analysis methods. Twocomputer design and analysis modules are used to provide the basics of the engineering designprocess. Using these tools developed over the first 3 weeks, the students are tasked to design andbuild a bridge that can support the weight of their professor.Six class modules are developed and presented in detail. The modules include: 1) BridgeStructures and Components, 2) Strength of Materials, 3) Structural Analysis Basics, 4) StructuralDesign and Project Management, 5) Computer Design Process, and 6) Detailed ComputerDesign. The resulting designs and
one pixel to the next. There are many ways to perform edgedetection. However, the majority of the methods may be grouped into two categories, thegradient-based methods and the Laplacian based methods. A gradient-based method detects theedges by looking for the maximum and minimum in the first derivative of the image. An edgehas the one-dimensional shape of a ramp and calculating the derivative of the image canhighlight its location. Clearly, the derivative shows a maximum located at the center of the edgein the original signal. This method of locating an edge is the characteristic of the “gradient filter”family of edge detection filters, which includes the Sobel method [1]. A pixel location isdeclared an edge location if the value of the
Desktop. The design drawing is shown in Figure 1. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Education Figure 1. System DesignProgram DesignAfter the design was envisioned and all of the kinks were worked out, the next step wasto design the actual ladder logic diagram for the PLC program. As discussed before,timers and counters would be implemented in this design. The first step of the processabove was the accumulation of parts. As mentioned, a sensor would be used to count theparts. In this program, a counter would be used to symbolize the