the University of Illinois Urbana Champaign. She received her B.S. in biology from the Massachusetts Institute of Technology and her Ph.D. in Bacteriology from the University of Wisconsin-Madison. ©American Society for Engineering Education, 2024 Mapping Writing Concepts Across an Undergraduate Physics Curriculum Abstract Technical communication is essential for a career in physics, but communication skills are often not explicitly taught in physics undergraduate curricula. As a starting point for curricular integration, we investigated where and how writing is currently occurring in the core undergraduate physics courses at
Paper ID #38566Promoting Computational Thinking in Integrated Engineering Design andPhysics LabsDr. Ruben D. Lopez-Parra, University of New Mexico Ruben D. Lopez-Parra is a Post-doctoral fellow in the Department of Chemical & Biological Engineering at University of New Mexico. His Ph.D. is in Engineering Education from Purdue University and he has worked as a K-16 instructor and curriculum designer using various evidence-based active and passive learning strategies. In 2015, Ruben earned an M.S. in Chemical Engineering at Universidad de los An- des in Colombia where he also received the title of Chemical Engineer in
Paper ID #42493Embodied Learning with Gesture Representation in an Immersive TechnologyEnvironment in STEM EducationMr. Junior Anthony Bennett, Purdue University I am a Graduate Research Assistant, and Lynn Fellow pursuing an Interdisciplinary Ph.D. program in Engineering Education majoring in Ecological Sciences and Engineering (ESE) at Purdue University, West Lafayette IN. I earned a Bachelor of Education in TVET Industrial Technology – Electrical from the University of Technology, Jamaica, and a Master of Science in Manufacturing Engineering Systems from the Western Illinois University. I am a Certified Manufacturing
as polytechnicinstitutions. Engineering has not, however, been broadly embraced by liberal arts institutions,often being seen as being overly career-focused and not sufficiently broad in its educationalapproach. Liberal arts institutions also tend to be much smaller in size, which can make itchallenging to furnish an engineering program with the specialized facilities and equipment itrequires. Furthermore, liberal arts institutions typically have comparatively larger core curricula,which can make it challenging to design a robust engineering curriculum that is completable infour years.A few small engineering colleges exist (e.g. Harvey Mudd, Rose-Hulman, and Olin College)whose enrollment ranges from a few hundred to a couple thousand
intricate problems that maybe challenging for typical algorithms in the traditional engineering curriculum. With theexplosive proliferation of embedded systems, and the IoT, controlling complex actuators andsensors in real time is increasingly feasible. Many engineering applications generate vastamounts of data, and deep learning algorithms are effective at recognizing patterns andextracting meaningful insights from these large datasets [5]. Thus, an appreciation of deeplearning methods will contribute to better engineering decision-making processes [6]. Inaddition, deep learning enables better automation, optimization, and control [7]. From designoptimization to production planning, engineers can leverage deep learning to streamlineworkflows and
in carrying out the experiment of thesituation worked on in class. Finally, students, working in groups, carry out theexperimentation and reflect on it at the end. This reflection occurs in their working groups.The modified ILD combines the theoretical class (mainly exposition by the instructor) withthe experimental class to offer students an integrative experience. This study involved 47students from two groups of a first-year university course in acoustical physics.Applying the modified ILD methodology, a qualitative study was conducted analyzing thestudents' responses to the guides and their conclusions. This study presents the results of theanalysis with a focus on determining the students' scientific skills in obtaining data
the examinee's response to an initial question, the CAT system engages in a promptevaluation of the response's accuracy. This step involves updating the ability level—a criticalperson-level parameter—predicated upon the estimation of likelihood. This immediate assessmentis integral to the system's next step - adjusting the difficulty level of forthcoming questions. Afterthis, by the estimated ability, model by using the Fisher information and minimize the differentiate Table 5. The CDM DINA model parameters for selected items on the FCI and FCME. Item guessing slip FCI_1 0.7342 0.0449 RMSEA2 FCI_2 0.4291 0.1921
courses for many years. However, only a relatively small number of faculty at mosttraditional universities had received formal distance learning training and were actually teachingin an online platform. Oftentimes these courses were in one way or another a “specialty” courseoffering and were often taught in disciplines outside of STEM. For those courses that hadsuccessfully integrated digital platforms, online learning provided a carefully designed learningecosystem [1]. One of the objectives of these learning ecosystems was to increase access tolearning opportunities through the incorporation of synchronous, asynchronous, flippedclassroom and independent study activities designed to simulate the active learning environment,even in remote
perceptions of difficulty and timedemands. The overall results of the survey show a high level of student satisfaction. The studentsperceive that with the course, they developed the disciplinary and transversal competenciesdeclared in the course objectives. They value the relevance of physics, mathematics, andcomputer science as an interdisciplinary aspect of the course and their professional practice.Their perception of difficulty and time demands is neutral.Keywords: challenge-based learning, higher education, educational innovation, competencydevelopment, interdisciplinarity, physics education.IntroductionUniversities face the challenges of an integrated, globalized world, which have created the needfor educational models based on competency
curriculum design framework to develop creative, hands-on activities geared at girls in grades 11-12 in a weekend outreach STEM event called “Reachingthe Sky”. The curriculum wanted to relate to the girls daily lives and show social relevance. Theprogram used an all-female team of both higher education educators and science, engineering,and mathematics undergraduate students to create and implement a variety of activities. Thestudy found that after the outreach program participants left with additional knowledge of STEMfields and were more likely to pursue a STEM career based on questionnaires that theparticipants took upon completion of the weekend event. By focusing on a primary context anddeveloping the curriculum around it the study was
one breath) and FEV1 (forced expiratory volume – the total amount of air exhaled in one second)which are the two indicators of breathing/lung issues. To do this, we will code the calculationsdescribed below:Starting with raw data values in volts: 1. Convert to meters/second. This process is described with the sensor’s specifications. 2. Multiply wind velocity (m/s) x area of tube that air is flowing through (m2) = volume of air flowing past a point per second (m3/s). 3. For volume of air exhaled in one breath: total volume from beginning of change in wind flow to end (m3) calculated with an integral. 4. For volume of air exhaled in one second: total volume of air exhaled in one breath (m3)/ /total time (s