1 School of Engineering Education, Purdue University, West Lafayette, IN 2 School of Education, Iowa State University, Ames, IA 3 Nissen Education and Research Design, Monterey, CA 4 College of Education, Purdue University, West Lafayette, INAbstract Computerized Adaptive Testing (CAT) is a modern approach to educational technologythat can transform classroom assessment and self-assessment strategies. CAT selects questionsbased on ability, item difficulty, and item discrimination at the moment which significantly reducestesting time. So, by considering measurement error, CAT ensures
motivated and had less anxiety with enhanced critical thinking.IntroductionEducators are saddled with the responsibility of ensuring every learning objective is met whilecreating an engaging student environment [1]. Educators must ensure that every experiment isdesigned with practical applications in mind and implemented in a safe environment. This aids theinstructors in facilitating critical thinking amongst the learners, ensuring that they can proffersolutions to essential questions. These guides and resources are models that support progressivelearning and peer-to-peer collaborations. Also, they can foster an inclusive learning atmosphereand encourage continuous improvement. Laboratory sessions are an integral part of the richlearning experience
diverse educational tools to improvecomprehension and application in realistic scenarios.Keywords: circuits, potential differences, current, Phet simulations, physics course, engineeringstudents, educational innovation, higher educationIntroductionIn the wake of the COVID-19 pandemic and the subsequent shift to Preventive and MandatorySocial Isolation measures, educators and students alike have been prompted to reevaluatetraditional teaching structures [1], [2]. This global crisis has accelerated the adoption of hybridteaching modalities, necessitating innovative approaches to ensure effective learning outcomes[3] – [5].Among these approaches, the Interactive Lecture Demonstration (ILD) methodology, pioneeredby [6] Sokoloff and Thornton in 1997
, presents challenges related to self-regulation andadaptability [1].The COVID-19 pandemic has significantly impacted online learning, leading to a shift fromtraditional face-to-face teaching to emergency remote teaching. This transition has underscoredthe importance of a thoughtful design and development process in online education to ensureeffectiveness [1]. The pandemic has also prompted a rapid shift to online teaching in highereducation institutions, emphasizing the need for innovative approaches to maintain the quality ofeducation [2].Online education has been recognized as a valuable platform for providing educational services,including specialized training and adult retraining programs. Online platforms have particularlybenefited individuals
traditional daytime undergraduate curriculum. By"compressed version," we mean teaching the same program as the daytime undergraduateprogram, with the same level of demand, but in a shorter period and without makingsignificant adaptations to the reality of "working students."At least initially, there exists a perception that generally, only a minority of students enteruniversity driven by intrinsic motivation [1], and an even smaller portion envisions a careeras an academic or researcher [2]. Typically, motivations tend to be more pragmatic,especially acquiring a degree and the necessary learning to gain access to employment orundertaking ventures that allow them to make a living. Working students aim to obtain aprofessional degree that offers them
with specific outreach goals. Ultimately, the varied learning, social, and logicalmodels being used to shape engineering and physics outreach which can aid in programtransferability are showcased along with how pedagogical theories can advance the goals ofengineering and physics outreach programs.Introduction Motivated by a desire to introduce new solvers into the world, there is a national push toincrease the number of students pursuing and obtaining science, technology, engineering, andmathematic degrees. University-driven outreach to preschool through 12th grade students is oneway to encourage this next generation. Outreach programs exist from single day events [1] toweek long summer camps, to more continuous STEM clubs [2]. Many
University of Applied Sciences Alexander Strutzenberger is currently studying Automotive Engineering at Joanneum University of Applied Sciences. Prior to his studies he visited a secondary school with a focus on natural sciences. ©American Society for Engineering Education, 2024 Exploring Swarm Behavior: An Undergraduate Project in Physics and Computer ProgrammingGünter Bischof 1, Konrad Dobetsberger 1, Markus Ensbacher 1, Christian J. Steinmann 1, 2, andAlexander Strutzenberger 11 Joanneum University of Applied Sciences, Institute of Automotive Engineering, Graz, Austria2 HM&S IT Consulting, Graz, AustriaAbstract – Collective motion, epitomized by the fascinating spectacle
promote the following competences in students: • Develop mathematical models that represent physical phenomena using statistical, computational, and simulation tools, among others. • Verify and validate models using appropriate techniques. • Predict the results of systems through models.Based on previous academic experiences [1-6], as well as the active learning approach [7-12],and assessment methods related to competency-based assessment [13-22], the aim is todevelop physics modeling competence and soft skills among second-year students inEngineering courses. We propose that students undertake experimental projects that align withthe main course syllabus, specifically focusing on Oscillations
Environment in STEM Education Junior A. Bennett1, Jason W. Morphew1, & Michele McColgan2 1 School of Engineering Education, Purdue University, West Lafayette, IN 2 Department of Physics, Siena College, Loudonville, NYAbstractStudents struggle with developing conceptual understanding of abstract concepts in Science,Technology, Engineering, and Mathematics (STEM) courses. Two-dimensional (2D) figures arecommonly used during instruction in textbooks and multi-media presentations such as PowerPoint,or in computer animation. The use of 2D visualizations during instructions lacks opportunities forstudents to meaningfully explore these concepts by rotating three
students. However, giventhat these institutions consist almost completely of engineering students, they are more akin tostandalone versions of the engineering schools that normally fall under the umbrella of a largeruniversity when it comes to size and mission.Some liberal arts colleges (typically highly selective institutions such as Swarthmore College[1])have long embraced engineering, offering full bachelor’s degrees. Another common strategy isto partner with universities to offer hybrid degree programs where the student starts theireducation at the liberal arts school and completes it at the university. While specific details ofthese programs vary, a common model is for the student to take three years of foundationalcoursework at the liberal
students to use Python code to complete initial analysis of data and to performcalculations related to the implementation of the activity. This paper will discuss several issuesassociated with the use of JN as the laboratory notebook. Student preparation prior to the classand their mastery at the end will be discussed along with the implementation of this approach.This is a work in progress.Introduction Students in the Engineering Physics program at the University of Central Arkansas arerequired to take an electronics course during their 2nd year. During the spring semester of 2022students were introduced to the use of Jupyter Notebooks (JN) as a tool for automating datacollection and analysis [1]. A JN is a web-based platform that allows
forces and high-order thinking skills)and elastic potential energy, an analysis of the students' development was performed byusing tree algorithm. Additionally, a qualitative comparison between the measured elasticconstants and the manufacturer's predictions showed good agreement, with approximately97.0% of students correctly identifying the maximum resistance for the black tubes.Regarding student perception, we asked about their thoughts on the activity: a) how muchnew information they felt it brought, and b) how interesting they found it. Students couldrate their responses on a scale from 1 (not interesting or no new information) to 5 (veryinteresting or a lot of new information). Out of the 246 students who responded, 82.6%found the activity
buttons beneath the mouthpiececontrol power and Bluetooth pairing, facilitating seamless connectivity to the app for data storageand display. Additionally, the device includes a USB charging port and three LEDs on the leftside. When powered on, the LEDs illuminate to indicate battery life, providing a visual cue inaddition to viewing the battery life accessible through the mobile app. The design of this compactspirometer device integrates various physics principles, including material science, fluiddynamics, electronics, optics, and wireless communication, to create a functional and user-friendlyproduct. Figure 1: Final design AutoCAD sketch and paper prototypeGraphical Model Figure 2: Graphical
-time and discrete-time systems, analog or digital filter design, and hybrid power system design. ©American Society for Engineering Education, 2024 Project-Based Learning on Diverse Concepts in a Power Electronic LaboratoryAbstractThis paper presents a project-based learning approach to teach the fundamental aspects of a DCmotor, half-wave, and full-wave rectifier circuits in a laboratory. The lab's objectives include: 1. Learn about the essential components of a DC motor by constructing a low-cost DC motor kit. 2. Explore practical methods to enhance the design and performance of the DC motor. 3. Explore and build half-wave and full-wave rectifier circuits to
andartificial intelligence (AI) as a basic tool engineers need to understand and utilize, even in anundergraduate engineering setting. Our paper shows how this course can be implemented in anew College of Engineering. The course uses the PyTorch machine learning framework as focusto guide students from basic ML concepts to the full deployment of models relevant to differentareas of engineering.1. IntroductionIn the 21st century, a vital role for universities is to guarantee that by the time of graduationstudents have learned essential skills required to excel in a dynamic technological landscape.This is also true in engineering where our incoming students, though they have sometechnological experience, lack a specialized understanding of computers and
type of assessment can help identify gaps in the curriculum, allowing us to be more deliberate about how we develop students’ communication skills.1 IntroductionWriting is an important skill for science, technology, engineering, and mathematics (STEM)professionals, as evidenced by its inclusion in accreditation criteria and reports from the NationalAcademies (e.g. [1, 2, 3]). Communication is an important engineering competency, alongsideproblem solving and teamwork [4]. Anecdotal reports from employers continue to suggest thatSTEM curricula need to do more to develop core competency in communication, and engineeringgraduates report similar needs [5, 6]. Communication skills are one of the four primary skill setsphysics majors need to