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
inclusion of 3D printing and advanced data analysissoftware in physics labs to enrich educational outcomes.Keywords: Physics Education Research, Educational Innovation, STEM Education, Kinematics,Experimental Physics, 3D Printing Technology, Tracker SoftwareINTRODUCTIONPhysics education research has increasingly highlighted the need for improvements in laboratoryinstruction, particularly in fostering conceptual understanding and experimental design skills [1]and [2]. Holmes and Wieman argue that traditional introductory physics labs often fail toreinforce conceptual learning effectively [3]. Additionally, model-based reasoning has beenidentified as a crucial component in experimental physics learning [4]. This study contributes tothis ongoing
skills and competencies are highly indemand, and these skills and competencies are mostly found and taught in the science educationdiscipline. And one of these disciplines is physics education, which deals with the fundamentalsof the interaction of energy and matter, as well as engineering and technology. The teaching andlearning mechanisms in physics for engineering students involve innovative approaches aimed atenhancing conceptual understanding and promoting deep learning. Research emphasizes the shiftfrom traditional teaching methods to more interactive and inquiry-based strategies to engagestudents effectively [1]. Interactive simulations play a crucial role in teaching physics, particularlyelectrostatics, as they significantly improve
a weather conditions experiment, a decision tree could be usedto predict whether certain weather conditions indicate the feasibility of outdoor activitiesor not.Figure 1: Example of weather conditions´ decision tree to decide whether stay home ornotSource: Chat GptLinear Regression: This technique is essential for predicting continuous values fromindependent variables. In Physics experiments, such as studying the relationship betweenspeed and time, linear regression can be used to fit a function to experimental data andpredict future behaviors, such as the speed of an object at a specific moment.Figure 2: Velocity of Honda WR-V car as function of timeSource: the authorsClustering: Clustering groups similar data together, facilitating the
. Menekse received four Seed-for-Success Awards (in 2017, 2018, 2019, and 2021) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF).Eesha tur razia babar, University of California, Irvine Eesha Tur Razia Babar holds a master’s degree in Electrical and Computer Engineering from the University of California, Irvine. She completed her undergraduate studies in Electrical Engineering at the University of
the change betweenpre- and post-test scores, although this may be a result of the low number of questions in thatcategory. All three categories contributed to post-test measurements on the CSEM andaccounted for some of the change seen in all three types of post-test measurements.Introduction One of the most commonly used assessment tools is the Force Concept Inventory (FCI).[1] Since its introduction in 1992, it has been used as a learning assessment tool for physicsclasses worldwide, while its use has been heavily studied. During this time, researchers haveevaluated the tool to understand whether there are some questions on the test that may be biaseddue to gender or present hurdles to those for whom English is not their primary
. The key advantages of this approach were access to equipment,flexibility on when and how experiments are conducted, and the curiosity-driven engagementfostered. However, this approach lacks one-on-one engagement, academic dishonesty, and theuse of specialized equipment [1], [2]. It established a difference and, in some respects, increasedstudent engagement. The development of troubleshooting skills and confidence in settingexperiments are a few key observations [3]–[5].The COVID-19 pandemic, which hinders knowledge transfer to students by restrictingmobility and providing significant logistical and safety issues, has rendered this traditional modeof instruction ineffective. With little to no time to consider the effects of the transitions on
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
non-academic triggers.The study tends to find a threshold for impact based on efforts outside of the regular classroomactivities and other non-academic factors.INTRODUCTIONIn higher education, efforts and resources are been put into best practices of teaching andlearning in order to improve students’ learning outcome. Such efforts include different teachingand learning tools, approaches and modalities [1 - 11]. Students’ quality and instructor’steaching skills also play a role. However, studies have shown that students’ motivation [12 - 16],class attendance and absences [17 - 26]; not completing work [27], and employment duringschool [28 - 35] are inevitable factors that affect students learning outcome. Studies on studytime have been
, achieving improved learning and motivationresults with the group that used a flipped classroom approach. Similarly, [1] studied a universitycourse in organic chemistry, using a Likert-type survey to measure the effect on learning throughgrade comparisons and student perceptions. While no significant differences were noted ingrades, most students viewed flipped classroom videos positively. Finally, [9] investigated thetopic in a secondary school science course. They measured the effect on learning through a pre-test and post-test and student perception via a Likert-type survey. In this case, more excellentlearning was achieved in the flipped classroom group, and there was a positive perception ofusing this strategy.Additional research has
theteaching and learning of a physics course through the students' perception. The modifiedILD has the same three stages as the original ILD, with two main differences in whoperforms the experiment and when it is performed. Specifically, the three phases in themodified ILD are 1) predict, 2) experiment (by students working in groups, not theinstructor), and 3) reflect (in groups, not individually). The first phase, prediction, beginswith the analysis of a physical situation in which students have to predict the behavior ofthe situation based on the knowledge imparted in the session by the instructor. This occursat the end of the instructor's exposition. The second phase occurs in the laboratory sectionof the course and relates to students' experience
could be through theuse of a generator that is connected to the wheels of the wheelchair. As the wheels spin, thegenerator converts the mechanical energy into electricity, which can then be stored in a battery orused directly to power the seat heaters.In the late sixteenth century the more conventional looking wheelchair was adapted with a self-propelled chair being manufactured in 1655 [1]. The wheelchair then began to have a largerpurpose for medical needs. Slowly wheelchairs began being electrically powered. Similar to howwe wanted to approach our project, we examined a report about a group of researchers that wereable to generate electricity using the chain and wheels on bicycles. The group created a generatorat the base of the gears on the
Engineering Northeastern UniversityAbstractIt is well known that some energy always is dispersed to the surroundings in the form of heat,mechanical energy, sound, and many other ways. Our team was brought together in Cornerstoneof Engineering 1 and 2, an accelerated introduction to engineering course at our university, by theinspiration to conserve energy using these concepts. The team, students pursuing degrees inchemical, mechanical, and electrical engineering, aimed to design a device that would utilize theenergy generated from everyday practices that are otherwise wasted. We focused on conservingenergy in the game of basketball, a high-energy and globally popular sport. The goal was to designand build a device
Paper ID #39666”Design of Integrated 5G Chip-set with Microstrips Modules for MobileCommunications with Its Integration in MMIC Course”Dr. Kanti Prasad, University of Massachusetts, Lowell Dr. Kanti Prasad is an emeritus professor since 1/1/2023 in the department of Electrical and Computer Engineering and is the founding Director of Microelectronics/VLSI Technology program at UMass Low- ell. He holds his Ph.D. from University of South Carolina. He is a registered Professional Engineer, P.E., in the State of Commonwealth of Massachusetts. He has been a senior member of IEEE since 1980. He is the ASEE’s campus representative
technicalunderstanding.IntroductionThe issue of climate change is constantly intensifying and increasing. The global demand forenergy in the past ten years has increased substantially by almost 100 quadrillion British EnergyUnits and is projected to continue growing based on population and standard of living [1]. Inaddition, a crisis has developed regarding carbon in the atmosphere, causing abnormal climatechanges. The climate is not a trading card; it's our future, and climate change extends beyond anycountry's bounds [2]. Although many innovative solutions are being researched to independentlyincrease our energy efficiency or decrease the amount of carbon in the atmosphere, a resoundingcall for sustainable energy production addresses both issues. Historically, the most
this topic. Our work addresses this gapby designing a novel immersive technique for visualizing relativistic effects and comparing thistechnique to existing non-immersive methods of instruction.IntroductionAlbert Einstein’s theory of general relativity (GR) is currently the leading theory to explaingravity, one of the four fundamental forces of physics. First proposed in 1915, GR has sincebeen validated by numerous experiments, including the detection of gravitational waves thatcaptured the public’s attention in 2015 [1], [2]. In addition to the significant contribution ofGR to our understanding of the universe, it also finds practical application in our daily livesthrough the GPS that allows us to navigate with our phones. Unfortunately, GR
as well, as a focal pointof our design was availability and convenience. Thus, we arrived at a prototype that is 1) cheapand easy to build, 2) relatively small and easy to install, 3) interchangeable with most plumbingsystems in bathrooms and kitchens, resizability would also account for this, 4) environmentallyconscious materials. Our device is a water wheel that can be fitted onto many different types ofpipes, and produces a small amount of energy. We believe that with many of these within a buildingwe would be able to generate a reasonable amount of energy for utilization for any purpose.IntroductionToday, people are using electricity more than ever, and as climate change is increasingly creepingup on us, finding new sustainable sources
development. Our institution, a private multi-campus Mexican university, faces these challenges by migrating the traditional, lecture-basededucational model to a challenge-based learning methodology emphasizing competencydevelopment instead of content knowledge acquisition [1]. Under the new educational model, thecurricular structure of undergraduate programs consists of three phases: exploration, focus, andspecialization. While in the exploration phase (the first two or three semesters), academicprograms in the same area have a core curriculum. This means that the programs related to theSchool of Engineering and Sciences share the same curriculum for the first three semesters,allowing students to shift smoothly from one area to another.All the
, PhET, active learning, educational technology,educational innovation, higher education.IntroductionCurrent teaching methods in physics laboratories often involve lectures where students arepassive participants whose task is to receive information to later repeat procedures without fullygrasping underlying concepts. This approach has been demonstrated as ineffective [1]. Educationhas been under constant change. Consequently, there has been a shift towards active learningmethods where students play a more active role in their learning. [2], [3]. Given the above and inline with the changing educational landscape, the private university in which this study tookplace has adopted an active learning approach in their physics laboratories. This
Many students pursue undergraduate and graduate degree programs to enhance their jobprospects [1]. For many, this is the primary driver influencing their decision to continue theirstudies after high school [1]. In the United States, higher education is increasingly expensive [2].To justify the expense, many students likely increasingly want assurance that their professionalsuccess will be enriched, financially and in other ways. Despite professional success being a primary driver of students attending highereducation, engineering courses often still focus on theory [3]–[5]. Students complete homeworkand maybe in-class problems. There is likely an assumption (often implicit, in my experience)that these problems are relevant to the
in the finance, insurance, research, automotive, and automation sector. Currently, his main occupation is a consulting project for process improvement for safety related embed- ded software development for an automobile manufacturer. On Fridays, he is teaching computer science introductory and programming courses at Joanneum University of Applied Sciences in Graz, Austria. ©American Society for Engineering Education, 2023Determination of road load coefficients with smartphone accelerometersGünter Bischof 1, Felix Mayrhofer 1, Domenic Mönnich 1, and Christian J. Steinmann 1, 21 Joanneum University of Applied Sciences, Institute of Automotive Engineering, Graz, Austria2 HM&S IT Consulting
critical skill for everyone to live in a world shaped bytechnology. Seymour Papert coined the term CT in 1986 [1], but Wing [2]spread it broadly as afundamental skill for everyone, which involves “solving problems, designing systems, andunderstanding human behavior, by drawing on the concepts fundamental to computer science”[2, p. 33]. This conception extended computational thinking beyond merely programming skillsto focus on how computer scientists think when solving problems. With this definition, CTrepresents a way of thinking that supports inquiry in STEM disciplines, helps individualssucceed in a technological society, and enables personal empowerment [3]–[5]. CT isparticularly relevant for engineers considering how new technologies based on
Physicslaboratory, there are three types of activities: a) Weekly laboratory experiments, b) AppliedPhysics Seminars and c) Problem learning projects. This work is focused on Applied PhysicsSeminars where students by using a simulator software "Speed Calculations for TrafficAccidents" – SCTA study the process of collision in a real situation, developing a role similarto the one performed by a forensic investigator where by means of the skid mark and type ofpavement he can estimate the initial vehicle speed. In the Physics laboratory, teams of studentsmust: 0) Read the original paper about "Speed Calculations for Traffic Accidents" and payattention for general teacher’s explanation during class laboratory, 1) Use Design Thinkingmethodology for project
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