Paper ID #39758Board 56: Using anonymous grading for high-stakes assessments to reduceperformance discrepancies across student demographicsDr. Neha B. Raikar, University of Maryland Baltimore County Dr. Raikar is a Lecturer at the University of Maryland, Baltimore County in the Chemical, Biochemi- cal, and Environmental Engineering department. She has taught both undergraduate and graduate-level courses. Dr. Raikar also has 3 years of industry experience from working at Unilever Research in the Netherlands.Dr. Nilanjan Banerjee Nilanjan Banerjee is an Associate Professor at University of Maryland, Baltimore County. He is an
interests are on studentsˆa C™ problem-solving disposition and instructional strate- gies to advance their ways of thinking. Dr. Lim is particularly interested in impulsive disposition, stu- dentsˆa C™ propensity to act out the first thing thatLisa Garbrecht, University of Texas, AustinPhilip B. Yasskin ©American Society for Engineering Education, 2023Introduction Mathematics has historically been taught in ways that are a barrier to minority studentspursuing advanced STEM courses in high school and college [1] while current teaching methodsare heavily reliant on spoken and written language, which can be particularly problematic forbilingual students [2]. Consequently, too few underserved students such as
original lab on your own before attempting this quiz.You are allowed to run the Wireshark while completing this lab.The following questions are similar to Network+ type of questions and are relate to trace named:http-ethereal-trace-1.1. If you set the http filter, how many packets you will see: a. 3 b. 4 c. 5 d. 62. If you set the SNMP filter, how many packets you will see: a. 3 b. 4 c. 5 d. 63. For HTTP packet number 10 (Frame 10), ), the total size of the packet is: a. 555 b. 439 c. 541 d. 13954. For HTTP packet number 10 (Frame 10), the requesting user agent is: a. User-Agent: Mozilla/5.0 b. User-Agent: Firefox/5.0 c. User-Agent: Chrome/5.0 d. User
a better understanding of the subject and the ability to use and apply it [11].A Survey conducted by Poçan, S., Altay, B. & Yaşaroğlu, C [1] showed the effects of using appson the success and motivation of 73 students in a high school algebra class. The findingsrevealed that mobile technology applications positively impact the learning process. Fabian,Topping, and Barron [2] explored the effects of mobile technology on the attitudes andachievements of 52 elementary school students. They found that mobile technology results inpositive student responses, improving their performance. Yussop, Annamalai, and Salam [3]investigated to find out the effectiveness of a particular mobile application. They found that byusing the app, students
to teach them how to compute their grade.Lastly, you must be prepared to change things if things don’t go as expected.References 1. Howitz, William J., Kate J. McKnelly, and Renée D. Link. "Developing and implementing a specifications grading system in an organic chemistry laboratory course." Journal of Chemical Education 98.2 (2020): 385-394. 2. J. Mendez, “Standards-Based Specifications Grading in a Hybrid Course,” in 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, Utah, Jun. 2018, p. 30982. doi: 10.18260/1-2--30982. 3. L. B. Nilson. Specifications Grading: Restoring Rigor, Motivating Students, and Saving Faculty Time. Stylus Publishing, LLC, 2015. 4. L. Craugh, “Adapted Mastery Grading for
: which involves providingvisual cues to the topic being discussed (b) weeding : involves the removal of any externalstimuli and (c) matching modality to content : essentially describe in words what is seen on ascreen. The next question about the length of the videos was answered by Guo et. al [12] ontheir work that analyzed the student use of video in MOOC’s. They found that videos had themaximum viewing at approximately 6 minutes with a drop off in attention with every minuteafter that. Previous experiences had informed us that it was difficult to get meaningfulinformation into a 6 minute video for us. But while we understood the attention dropoff beyond6 minutes, Roediger and Karpicke’s work (13) helped us understand the value of testing
in Figure 6b. New topics arethen added to the chatbot to address the missing information. The chatbot is then updated andpublished. The tests are repeated. This cycle is shown in Figure 6a. 5 Figure 4. The conversations can be branched out in meaningful ways. (a) (b) (c)Figure 5. Sample screenshots of sessions with the chatbot. a) Student asks for checking out a caliper. b) Student asks about meetinga TA. c) Student asks about the course grade distribution. 6
device over the internet using a Raspberry Pi.An IoT survey developed for the funded grant will be administered to the students in order toascertain any knowledge gains concerning IoT.In assignment 1 [12] the students first learn about connecting the Pi board to a display andopening a programming environment. In the assignment, students will write a short program tooutput a message such as “Hello World.” Python will be used in this assignment but otherlanguages such as C could also be utilized to accomplish this assignment. Click on the icon Figure 1 – a) Raspberry Pi Desktop b) Prompt in PythonAfter the Pi board is connected to a display, a keyboard, and a mouse
students’ self-efficacy(see Table 1 for a sample of a curriculum sequence). It also offers an Ecological System’sTheory overarching focus that helps students frame their challenges and themes at an individual,familial, and school/summer contexts first, and later expands to broader community topics [30].Table 1: Sample of Summer Camp Curriculum Sequence and Standards EarSketch Topics Computational Culturally Mini-Task Unit Thinking Targets a Relevant Challenge Targets b Project Unit 2- Family & Friends Exporting music
if a person is identifiedaccurately. Furthermore, the performance test demonstrated that the current prototype recognizesup to 137 faces in the uploaded image and responses within 1 second when recognizing less than20 faces.The acceptance survey results of using the application in terms of the students’ comfortabilityabout the potential personal privacy problems and improving learning environment in terms ofengagement and willingness to engage in asking and answering questions during lectures werecollected from 40 students. Appendix B provides details of the survey and its results.In the survey, students where asked “Are you comfortable with your name being called in classby instructor?”. Figure 4(a) shows the outcome of this question where
to build young children’scomputational thinking skills, and could serve as an useful pedagogical tool enabling teachers’curriculum.References[1] M. Boroush, “Research and Development: US Trends and International Comparisons. Science and Engineering Indicators 2020. NSB-2020-3.,” Natl. Sci. Found., 2020.[2] M. Kuhfeld, J. Soland, B. Tarasawa, A. Johnson, E. Ruzek, and J. Liu, “Projecting the potential impact of COVID-19 school closures on academic achievement,” Educ. Res., vol. 49, no. 8, pp. 549–565, 2020.[3] C. D. Higgins, A. Páez, G. Kim, and J. Wang, “Changes in accessibility to emergency and community food services during COVID-19 and implications for low income populations in Hamilton, Ontario,” Soc. Sci. Med., vol. 291
implemented and figure 3(b) shows it coupled with theArduino UNO board. (a) (b) Figure 3: (a) Shield implemented (b) shield coupled with an Arduino UNOB. Arduino FirmwareThe firmware that controls the sensors and actuators and communicates with the PC was designedusing a Finite State Machine (FSM). Figure 4 presents the state diagram of the FSM Figure 4: FSM of the implemented firmwareState 1 is a waiting state, in which the machine will stay until there is a timeout equal to“interval” or when it receives a message from the PC. If the timeout occurs, the FSM goes tostate 2 in which the data from sensors is acquired and sent to
statistically significantly different.Table 2: Student performance data for each section. Average Fraction of students Average Course Section Course Grade a DF Rate b receiving an A Final Exam Score ME 4150 HyFlex (n = 36) 2.9 19% 30% 71% Non-HyFlex (n = 36) 2.9 17% 22% 67% CE 3211 HyFlex (n = 45) 2.8 4% 13% 67% Non-HyFlex (n = 42) 3.0 2% 13% 72% ETM 3300 HyFlex (n = 29
listed below. 1. What curriculum components are most effective in teaching the content? a. What are the characteristics of each module that interest students? b. Can these characteristics be employed to make other modules more interesting? 2. How effective are interactive animated visualization modules more interesting? a. Are the unique differences based on gender and/or race? b. Does student perception of cybersecurity concepts improve?ResultsWe have collected surveys before and after each session to determine the students' knowledge ofthe cybersecurity principles taught. Students who attended the University of Toledo and PurdueUniversity Northwest summer camps in 2022 are surveyed. 30 students were subjected to
enhanceslearning through diverse class activities and discussions.Literature on the flipped classroom considered different methodological treatments. However,most of the findings are consistently encouraging. Previous research suggests that student learningis likely to improve in the flipped setup compared to the traditional classroom [5], [7]–[9]. Muchof the existing research assessing the effectiveness of the flipped classroom in higher educationcontexts (a) compares a flipped course to previous, more traditional iterations [10]–[12] (b) utilizespre-post designs assessing changes from the beginning of the flipped course to the end [13]–[15],or (c) focuses on student perceptions and satisfaction with the flipped approach [16], [17].However, given the
during the process through observations and metrics which utilize Keller’sARCS motivation model which analyzes a learner’s attention, relevance, confidence, andsatisfaction of educational materials [14]. The Van Hiele model of geometric learning will alsobe evaluated for its practicality and usefulness. The goal of this research is to raise student’sengagement levels and overall performance. This research hopes to revolutionize mathematicseducation in the world and transform mathematics from being “nobody’s favorite subject”, to asubject met with resounding excellence.References[1] F. Biocca and B. Delaney, “ Immersive virtual reality technology “ in Communication in theage of virtual reality, Hillsdale, NJ, Lawrence Eribaum Associates, Inc
/10.4324/9780203507711/learning-teach-higher-education-paul-ramsden-paul-ramsden. [Accessed: 05-Feb-2023].[2] A. Leite and S. A. Blanco, “Effects of Human vs. Automatic Feedback on Students’Understanding of AI Concepts and Programming Style.” [Online]. Available:https://arxiv.org/pdf/2011.10653.pdf. [Accessed: 06-Feb-2023].[3] B. Hanks, S. Fitzgerald, R. McCauley, L. Murphy, and C. Zander, “Pair programming ineducation: A literature review.” [Online]. Available:https://www.tandfonline.com/doi/abs/10.1080/08993408.2011.579808. [Accessed: 05-Feb-2023].[4] R. E. Mayer, “Teaching and learning computer programming: Multiple research perspec,”30-Sep-2013. [Online]. Available:https://www.taylorfrancis.com/books/mono/10.4324/9781315044347/teaching
. Sedano, Y. Panchul, and B. Ableidinger, “MIPSfpga: Using a Commercial MIPS Soft-Core in Computer Architecture Education”. IET Circuits, Devices & Systems, 2017. 11.10.1049/iet-cds.2016.0383.[5] RISC-V International University Resources: https://riscv.org/learn/. Accessed February 21, 2023.[6] R. Agrawal, S. Bandara, A. Ehret, M. Isakov, M. Mark, and M. Kinsy, “The BRISC-V Platform: A Practical Teaching Approach for Computer Architecture”, Proceedings of the Workshop on Computer Architecture Education, pp. 1-8, Jun. 2019. 10.1145/3338698.3338891.[7] N. Binkert, B. Beckmann, G. Black, S. K. Reinhardt, A. Saidi, A. Basu, J. Hestness, D. R. Hower, T. Krishna, S. Sardashti, R. Sen, K. Sewell, M. Shoaib, N. Vaish, M. D
cybersecurity as a career. However, there is still potential for improvement topersuade more students to consider this field. b. Changes in Cybersecurity Knowledge of High School StudentsThe poll's findings in Figure 5 taken before and after the lectures on cybersecurity point to asignificant improvement in the student's knowledge of the topic. According to the chart'sresearch, from 0% in the pre-survey to 8.7% in the post-survey, more students now haveadvanced cybersecurity knowledge. On the other hand, from 46.75% in the pre-survey to 0% inthe post-survey, the proportion of pupils with novice knowledge decreased. It is interesting to seethat more students now have intermediate knowledge of cybersecurity, which suggests that thelecture
middle school–aged children's perceptions of women in science using the Draw-A-Scientist Test (DAST).” Science Communication, 29(1), 2007, pp. 35-64.[11] UNCF.org. “Black Females Moving Forward in Computing Program Launched.” https://uncf.org/annual-report-2020/black-females-moving-forward-in-computing. (Retrieved February 27, 2023).[12] S. Zweben, and B. Bizot. “Taulbee survey: CS Enrollment Grows at All Degree Levels, With Increased Gender Diversity.” Computing Research Association, 2021.
(circled) in the horn track of Superstition used as a Side-Channel Attack MetaphorFinally, we discuss how programming paradigms may be used in different ways to convey ideas,or as a different take on the same idea. Superstition was co-developed by guitarist Jeff Beck, whowas collaborating with Mr. Wonder on songs in TONTO, and who wrote his own rock version.13Beck’s version uses a reverb guitar to give a “superstitious” feeling. I point out that both StevieWonder and Jeff Beck use the same drum beat, and that funk drum beats can be used in bothR&B and Rock to convey the same idea, just like different programming languages like Python,C, C++, or Java can use the same architecture to accomplish similar tasks.Lecture Conclusion and Student
. Ophthalmol., vol. 70, no. 5, p. 1773, 2022.[11] Q. D. Nguyen, N. Fernandez, T. Karsenti, and B. Charlin, “What is reflection? A conceptual analysis of major definitions and a proposal of a five-component model,” Med. Educ., vol. 48, no. 12, pp. 1176–1189, Dec. 2014, doi: 10.1111/medu.12583.[12] A. A. Butt, S. Anwar, and M. Menekse, “WIP: Investigating the relationship between FYE students’ reflections and academic performance across gender,” in 2022 First-Year Engineering Experience, 2022.[13] M. A. Cohn, B. L. Fredrickson, S. L. Brown, J. A. Mikels, and A. M. Conway, “Happiness unpacked: Positive emotions increase life satisfaction by building resilience.,” Emotion, vol. 9, pp. 361–368, 2009, doi
College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGVLaura SaenzDr. Liyu Zhang, The University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in Septemb ©American Society for Engineering Education, 2023 A Bridged Cyber Security Curriculum with Embedded Stackable CredentialsAbstract— Supported by a federal grant, The University of Texas Rio Grande Valley (UTRGV)streamlined the Bachelor of Science
Paper ID #36723KarmaCollab: A Communication Platform For Collaborative LearningDamitu Robinson, University of California, DavisMr. Nicholas Hosein Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant inProf. Andre Knoesen, University of California, Davis Andre Knoesen received his Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 1987. He is currently a Professor in the Department of Electrical Engineering
main foundations to develop data science skills, or data acumen, theability to make good judgments about the use of data to support problem solutions [17]. From the statistical field, the American Statistical Association is committed toenhancing data science through statistics education to foster statistical and data science literacyat all levels. The Association published a report, “Guidelines for Assessment and Instruction inStatistics Education Report II (GAISE II),” that proposed a data science framework with fouressential concepts and 22 examples of framework application and assessment for threeprogressively conceptual structure levels (A, B, and C) [18]. Similarly, in their paper“Investigating Data Like a Data Scientist: Key
Paper ID #37420Implementation and Evaluation of a Predictive Maintenance CourseUtilizing Machine LearningMr. Jonathan Adam Niemirowski, Louisiana Tech University Jonathan Niemirowski is an Adjunct Professor in Instrumentation and Control Systems Engineering Tech- nology at Louisiana Tech University. He received a Bachelor of Science in Nanosystems Engineering in 2015, a Master of Science in Molecular Science and Nanotechnology in 2018, and is working on a PhD in Engineering Education, all at Louisiana Tech University. Mr. Niemirowski teaches Computer Aided Engineering (ENGT 250), Engineering Problem Solving (ENGR 120, 121
Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently
/learning for students, and computer- or web-assisted personalized learning.Sung Je BangDr. Saira Anwar, Texas A&M University Saira Anwar is an Assistant Professor at Department of Multidisciplinary Engineering, Texas A &M Uni- versity. Dr. Anwar has over 13 years of teaching experience, primarily in the disciplines of engineering education, computer science and software engineering. Her research focuses on studying the unique con- tribution of different instructional strategies on students’ learning and motivation. Also, she is interested in designing interventions that help in understanding conceptually hard concepts in STEM courses. Dr. Anwar is the recipient of the 2020 outstanding researcher award by the
Paper ID #40274Effectiveness of a Web-Based Advising Tool for an Engineering Program:Students’ PerspectivesDr. Mahbub K. Ahmed, P.E., Southern Arkansas University Dr. Mahbub Ahmed is an Associate Professor of Engineering at Southern Arkansas University (SAU). He received his PhD in Materials Science and Engineering with a focus on Mechanical Engineering from the University of Texas at El Paso in 2008. Currently, he holds a PE license in Mechanical Engineering in the state of Arkansas. Dr. Ahmed has been a faculty member in the Engineering Program at SAU since August 2012 and is actively involved in teaching, research, and
Paper ID #38631Board 55: (Work in Progress) Adapting the First Programming Course forUndergraduate Students of Mathematics MajorDr. Maristela Holanda, Texas A&M University I am a visiting professor at Texas A&A University. I am professor at University of Brasilia, Brazil. My research areas are databases and Computer Science Education.Dr. Dilma Da Silva, Texas A&M UniversityRaquel Carneiro D¨orrFernanda Macedo de Sousa ©American Society for Engineering Education, 2023 (Work in Progress) Adapting the First Programming Course for Undergraduate Students of Mathematics Major