“Provideoptions for Perception” item in the “Provide multiple means of Representation” category becauseit offers a new way to “customize the display of information” by enabling students to search andgather information they need. UDL Guideline UDL Guideline item(s) ClassTranscribe Feature Provide multiple means Minimize threats and - Distraction/stress-free learning of Engagement distractions interface Provide options for - Student personal usage analytic Sustaining Effort & reports based on interaction with Persistence the platform Provide multiple means
supports only some KPIs in aparticular SO, the program did not adopt these assignments. Instead, the program favoredassignments that could be used to score all KPIs of a SO to help make the process morestraightforward.Implementation of Assessment PlanOnce the courses and individual assignments supporting each SO were identified using the SOMap Results provided by the faculty, the assessment plan could officially begin. The following listroughly outlines how faculty were asked to deliver the assessment to the students in their coursesand then subsequently score the results: • Instructor for course must decide which assignment(s) will be used to measure the required SO o Instructors were allowed to change assignments to best meet
mid-nineties. In contrast, AE enrollment grew till 1988 and then sharply declined. The reason forthis disparity is that while engineering went through downsizing and mergers, 1980’s was adynamic time for aerospace engineering [8]. Truly the eighties were an exciting time for AEindustry where the U.S. increased its funding in the sector to almost excessive [9]. Followingthis period of excessive spending, the sector faced huge downsizing due to the slash infunding and recession. To put it in perspective, the AE sector slashed half a million jobs from1989 to 1995 [9]. Undergraduate enrollment in AE followed similar trends to that of itsindustry. Fletcher (1998) warned that the sharp decline in enrollment in AE will have seriousconsequences on
of how to avoid hardwiring societal bias into our computing machines. As AshleyShadowen, a student at CUNY sums up in her Masters’ thesis, “ Machine ethics is a complicatedand multifaceted problem. But if we get it right, we will unleash the full benefit of machinelearning for humankind.” [28]References [1] Friedman, B., & Nissenbaum, H. (1996). Bias in computer systems. ACM Transactions on Information Systems (TOIS), 14(3), 330–347. https://doi.org/10.1145/230538.230561 [2] S. Noble, Algorithms of oppression: How search engines reinforce racism. New York: NYU Press, 2018. [3] C. O’Neil, Weapons of math destruction: How big data increases inequality and threatens democracy. New York: Crown 2016. [4
literature alongwith research study outcomes, and address the need to use an intersectional lens when exploringthe experiences of racially minoritized populations. 5 MethodsThis review uses a combination of pre-established methods. We used a method adapted fromFerrari [23] which focuses on conducting narrative style reviews. Also, we used Borrego’s [7],[8] methodology for conducting a systematic literature review in engineering education in sixsteps: (1) deciding to conduct a systematic literature review, (2) identifying the scope andresearch question(s), (3) defining inclusion criteria, (4) finding and
that need to be cast through, the texture coordinate, and the depth of the entry point. Theray direction is given by the vector from the entry and exit points in the texture space. Each sample’s position alongthe ray direction is computed via linear interpolation. In terms of how many samples we should take, we set the stepsize as half of a voxel. Users can adjust the Sampling Rate parameter to change the number of samples taken alongeach ray. Note that the assigned opacity also depends on the sampling rate. For example, when using fewer slices, theopacity has to be scaled up, so that the overall intensity of the rendering results remains the same. We use Equation 1to correct the opacity whenever users change the sampling rate s from the
Accessibility Initiative, “Making Audio and Video Media Accessible,” Accessed November 2020.Available at [11] Bureau of Internet Accessibility, “Checklist for Creating Accessible Videos,” Accessed November 2020.Available at [12] G. Morin, J. Rubin, and R. Leisinger, “508 Accessible Videos – Why (and How) to Make Them,” Available at[13] Directory of Coursera University Partners. Accessed November 2020. Available at[14] Directory of edX University Partners. Accessed November 2020. Available at[15] Cal Poly Pomona Mechanical Engineering Department YouTube account. Available at[16] Cal Poly Pomona Mechanical Engineering Department video content website, ME Online. Available at[17] S. Tosun, The Effects of Blended Learning on EFL Students’ Vocabulary
; Overcoming Resistance to Cooperative Learning,” Coll. Teach., vol. 58, no. 2, pp. 52–57, Mar. 2010, doi: 10.1080/87567550903418594.[2] J. M. Langer-Osuna, “How Brianna Became Bossy and Kofi Came Out Smart: Understanding the Trajectories of Identity and Engagement for Two Group Leaders in a Project-Based Mathematics Classroom,” Can. J. Sci. Math. Technol. Educ., vol. 11, no. 3, pp. 207–225, Jul. 2011, doi: 10.1080/14926156.2011.595881.[3] N. Dasgupta, M. M. Scircle, and M. Hunsinger, “Female peers in small work groups enhance women’s motivation, verbal participation, and career aspirations in engineering,” Proc. Natl. Acad. Sci., vol. 112, no. 16, pp. 4988–4993, Apr. 2015, doi: 10.1073/pnas.1422822112.[4] C. L. Colbeck, S. E
, Indiana, Jun. 2014, p. 24.360.1-24.360.13. doi: 10.18260/1-2--20251.[8] A. García-Aracil, S. Monteiro, and L. S. Almeida, “Students’ perceptions of theirpreparedness for transition to work after graduation,” Active Learning in Higher Education, vol.22, no. 1, pp. 49–62, Mar. 2021, doi: 10.1177/1469787418791026.[9] A. E. Coso and A. R. Pritchett, “Role of Design Teams in the Integration of StakeholderConsiderations,” Journal of Aircraft, vol. 52, no. 4, pp. 1136–1145, Jul. 2015, doi:10.2514/1.C032796.[10] M. Lande, “Methods for Assessing Epistemic Identities
Proceedings, 2020.[12] M. G. Simkin, “Should you allow your students to grade their own homework?,” J. Inf. Syst. Educ., vol. 26, no. 2, pp. 147–153, 2015.[13] W. Y. Hwang, N. S. Chen, R. Shadiev, and J. S. Li, “Effects of reviewing annotations and homework solutions on math learning achievement,” Br. J. Educ. Technol., vol. 42, no. 6, pp. 1016–1028, 2011, doi: 10.1111/j.1467-8535.2010.01126.x.[14] S. Hedtrich and N. Graulich, “Using software tools to provide students in large classes with individualized formative feedback,” J. Chem. Educ., vol. 95, no. 12, pp. 2263–2267, 2018, doi: 10.1021/acs.jchemed.8b00173.[15] J. Lang, Small Teaching: Everyday lessons from the science of learning. San Francisco, CA
of 8 participantsCommunication response from other teammate(s)Delegation Impact of assigning roles to individual team members 8 out of 8 participants and overall distribution (or lack thereof) of tasks required by the projectLack of Team member(s) show a lack of motivation after 8 out of 8 participantsMotivation moving onlineMeeting Team member expresses challenge of getting team to 8 out of 8 participants meet after moving online due to schedulingRelationship Student expresses impact of getting to know teammates 8 out of 8 participantsFormation for online project compared to in
(value) and variation were brought up again.The follow up report constituted addressing the following tasks: • Providing a description of the case including background, important factors, critical measures, etc. • Determining each design’s performance with regards to the quality measure(s) identified • Recommending which design that the company should continue with for further advancement based on both technical feasibility and economic value analysis • Providing statistical justification to all responsesAll the information necessary to conduct a technical feasibility analysis using statistical toolswas available in the materials covered during the lectures; but the students had to research togather more information to
all the codinginstances.Table 1: Three examples of stories with their codes and IRR Post Story Coder L Coder G Coder S IRR # 1 My name is Gale. I'm a postdoc studying natural resource management, coping mechanism under 78.6% and I have ADHD and Generalized Anxiety Disorder. coping represented/women I've seen therapists off and on since age 19, and never thought I needed mechanism/behaviora coping meds. But once I started grad school, all my normal coping mechanisms
studentshone their skills.References [1] O. Okundaye, S. Chu, F. Quek, A. Berman, M. Natarajarathinam, and M. Kuttolamadom, “From making to micro-manufacture: Catalyzing stem participation in rural high schools,” in Proceedings of the Conference on Creativity and Making in Education, pp. 21–29, 2018. [2] O. J. Okundaye, M. Kuttolamadom, M. Natarajarathinam, S. L. Chu, and F. Quek, “Motivating stem participation through a’making as micro-manufacture (m3)’model,” in 2018 ASEE Annual Conference & Exposition, 2018. [3] D. M. Yip-Hoi, “Teaching surface modeling to cad/cam technologists,” in American Society for Engineering Education, American Society for Engineering Education, 2011. [4] F. Heidari, “Status study of cad/cam/cnc
. This work encourages the engineering educationcommunity to find new ways to define how an inclusive practice is working for a specificcontext, as a supplement to a quantitative approach.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007, doi: https://doi.org/10.1002/j.2168-9830.2007.tb00921.x.[2] B. Berhane, S. Secules, and F. Onuma, “Learning While Black: Identity Formation and Experience for Five Black Men Who Transferred Into Engineering Undergraduate Programs,” J. Women Minor. Sci. Eng., vol. 26, 2020, doi: 10.1615/JWomenMinorScienEng.2020024994.[3] M. Kali, S. Secules, and C
thematching survey and one from the baseline (pre-) survey. Table 1 serves to highlight and labelthese five survey questions. Table 1: Main survey questions analyzed from the canceled GAIN pilot. The identifier “M” refers to the matching survey and “B” refers to the baseline survey Topic, Style, and Source Highlighted Survey Question Briefly describe the main challenge(s) you have faced Question M1: in college so far. Examples academic struggles, Challenges faced personal struggles, time management, work-balance life, difficult
amongst all three teaching modes. Nevertheless, significant differences maysometimes exist between one or two pairs. Thus, post-hoc analysis (Tukey) is used to determinewhich pair(s) cause this significance, shown in Table 8. Tukey’s analysis are performed only onthe two significant constructs from the ANOVA analysis, and the results indicate that the students’response to the interactive construct differ significantly between a semester with fullyimplemented remote teaching and one with in-person labs with a p-value of (p = 0.001), a meandifference of (-0.930), and a standard error of (0.238); this difference indicates that students in in-person sessions anticipated to receive more interactive learning instructions than those in remotesessions
computer programming students: a middle eastern and American comparison. IEEE Transactions on Education, 2006. 49(4): p. 443-50.15. Felder, R.M., Learning and teaching styles in foreign and second language education. Foreign Language Annals, 1995. 28(1): p. 21-31.16. Ma, L., et al., Investigating the viability of mental models held by novice programmers. ACM SIGCSE Bulletin, 2007. 39(1): p. 499-503.17. Bonar, J. and E. Soloway. Uncovering principles of novice programming. in Proceedings of the 10th ACM SIGACT-SIGPLAN symposium on Principles of programming languages. 1983. Austin, Texas: ACM.18. Brown, H. D., & Gonzo, S. T. Readings on second language acquisition. Englewood Cliffs, NJ: Prentice Hall
[1] D. Barr, J. Harrison, and L. Conery, "Computational thinking: A digital age skill for everyone," Learning & Leading with Technology, vol. 38, no. 6, pp. 20-23, 2011.[2] C. ISTE. "Computational Thinking Leadership Toolkit - ISTE." https://cdn.iste.org/www-root/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4 (accessed 2021).[3] I. Corradini, M. Lodi, and E. Nardelli, "Computational Thinking in Italian Schools: Quantitative Data and Teachers' Sentiment Analysis after Two Years of" Programma il Futuro"," in Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017, pp. 224-229.[4] S. F. Sidek, C. S. Said, and M. H. M. Yatim, "Characterizing
conversations are generated in class having laid out basic knowledge and any doubts generated are solved in class." (S14) "I think they serve to lay the groundwork for the subject that is going to be further discussed in class and thus, once in the class itself, one better understands the concepts and subject matter." (S36)Students' perception of the "Flipped Classroom + Podcasts" instructional practiceThe responses obtained from the “Student Response to Instructional Practices” (StRIP)questionnaire were compiled in spreadsheets and analyzed using the Excel statistical modules.The StRIP was sent by email to students at semester´s end, obtaining 26 responses out of the 53student total.Given the interest in analyzing student
learning process to the student, but to intentionally add adegree of freedom and flexibility often missing from academic coursework. Allowing studentssome ability to shape their learning experience enables them to advance their personal skill setand interests in new and constructive ways. Pedagogically, the mini-projects aim to movestudents from a simple to a complex level of understanding; for example, moving beyond simplygrasping how a tool is employed to understanding its purpose, the need(s) it addresses, and theexpectations surrounding its use. In short, students learn how to think about tools and operationsthat are viable, feasible, and desirable. Adding opportunities for flexibility in pursuing some oftheir own interests can further
still be used to record classes forassessment and improve teaching. Additionally, recorded lectures can be easily edited to createshort instructional videos for supplemental instruction, additional problem solving, flippedclassroom, or even to give a lab orientation before the actual lab. Fully recorded sessions canalso be made available to select students who missed classes due to job interviews, athletics, orillness. As campuses increased their technical capacity and capability, the talent and equipmentcan and should still be used so all are proficient before we must react to another tumultuousevent.References[1] A. C. Estes, R. W. Welch, and S. J. Ressler, “The ExCEEd Teaching Model: Teaching Lessons Learned,” Journal of
. Stylus Publishing, LLC., 2017.[7] W. C. Newstetter, “Of Green Monkeys and Failed Affordances: A Case Study of a Mechanical Engineering Design Course,” Res. Eng. Des., vol. 10, no. 2, pp. 118–128, 1998.[8] D. Armel and S. A. Shrock, “The Effects of Required and Optional Computer-Based Note Taking on Achievement and Instructional Completion Time,” J. Educ. Comput. Res., 1996.[9] S. A. Lei, “Revisiting Extra Credit Assignments Perspectives of College Instructors,” J. Instr. Psychol., 2010.[10] T. Park, C. S. Woods, S. Hu, T. B. Jones, and D. Tandberg, “What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate
." United Nations Organization. https://unsdg.un.org/resources/policy-brief-education-during-covid-19-and-beyond (accessed April 14, 2021).[3] S. Khan, R. Rabbani, I. Thalassinos, and M. Atif, "Corona Virus Pandemic Paving Ways to Next Generation of Learning and Teaching: Futuristic Cloud Based Educational Model," Available at SSRN 3669832, 2020.[4] J. Q. Michael Fullan, Max Drummy, Mag Gardner, "Education Reimagined: The Future of Learning," no. http://aka.ms/hybridlearningpaper. [Online]. Available: http://aka.ms/hybridlearningpaper[5] "Pandemic sparks game-changing approach to hardware training." https://www.cmc.ca/pandemic-sparks-game-changing-approach-to-hardware-training/ (accessed April 14, 2021).[6] Q. N. Naveed, M