cybersecurity research, counseling students, assisting with open days for new students, contributing to curriculum enhancements, and proposing a new club to support women in the industry, SWCSI (Supporting Women in the Computer Security Industry). He excels at guiding students in subject choices based on interest, ability and skills. His continual quest for knowledge and broadening his skills has proven beneficial to his students and his professional evaluations reflect this in perfect teaching scores. Additional awards, societies and honor groups include: 2018 Expert Level Instructor Excellence Award – Cisco Networking Academy. 2017 Instructor 5 Years of Service Award – Cisco Networking Academy. 2017 Excellence in CCNA
conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The authors thank our project evaluator, Dr. Liz Litzler. We thank advisory boardmember Diana Gonzalez for her support with recruitment on this project. The authors also thankthe year 2 and year 3 participants for supporting this work by sharing their experiences in oursurveys. References[1] T. M. Evans, L. Bira, J. Beltran-Gastelum, L. T. Weiss, and N. L. Vanderford, Evidence for a mental health crisis in graduate education, The FASEB Journal, vol. 36, pp. 282- 284, 2018.[2] J. L. Lott, S. Gardner, and D. A. Powers, Doctoral student
the GPDs to reflect on thelived experiences of graduate students in their program. As part of these questions, we inquiredabout the extent to which students were experiencing trauma during the time in graduate schooland the actions taken by the GPD when a student was experiencing trauma. The interview alsoincluded questions about the role of the department and institution in handling traumatic events.All the interview audio was transcribed by Rev.com for analysis purposes.Preliminary Data AnalysisLeveraging trauma-informed frameworks of care and systems analysis techniques, the dataanalysis has focused on the first two research questions noted in the Project Overview section.To this end, the initial data analysis process involved examining
analyzedalong with data from the other survey instruments to explore the relationships between cognitive,motivational, and emotional processes on self-efficacy as it relates to academic persistence.6. AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204892. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.7. References[1] H. N. Haron and A. M. Shaharoun, "Self-regulated learning, students' understanding and performance in engineering statics," presented at the IEEE
video game modifies visual selective attention," Nature, Article vol. 423, no. 6939, p. 534, May 2003, doi: 10.1038/nature01647.[13] P. Wang, H.-H. Liu, X.-T. Zhu, T. Meng, H.-J. Li, and X.-N. Zuo, "Action video game training for healthy adults: A meta-analytic study," Frontiers in Psychology, vol. 7, Jun. 2016, doi: 10.3389/fpsyg.2016.00907.[14] S. Kühn, J. Gallinat, and A. Mascherek, "Effects of computer gaming on cognition, brain structure, and function: a critical reflection on existing literature," Dialogues in clinical neuroscience, Periodical vol. 21, no. 3, pp. 319-330, 2019, doi: 10.31887/DCNS.2019.21.3/skuehn.[15] A. J. Toth, N. Ramsbottom, M. Kowal, and M. J. Campbell, "Converging evidence
recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] I. Direito et al., “Diversity, Equity, and Inclusion in Engineering Education: an Exploration of European Higher Education Institutions’ Strategic Frameworks, Resources, and Initiatives,” in SEFI 49th Annual Conference Proceedings 2021, SEFI - European Society for Engineering Education; Brussels, Dec. 2021, pp. 189–193. Accessed: Feb. 08, 2024. [Online]. Available: https://lirias.kuleuven.be/3635850[2] K. Fu et al., “Broadening participation: A report on a series of workshops aimed at building community and increasing the number of women and minorities in engineering design,” in
19.3% Nursing 12.5% Psychology 11.9% Psychology 8.8% Nursing 10.4%Programming experience Programming experience No prior prog course 78.5% No prior prog course 80.0% No/very little Python 74.1% No/very little Python 88.0%Note: NB: Non-binary, SD: Self-described, PNR: Prefer not to respond, HI: Hawaiian, PacIsland: Pacific Islander, prog: ProgrammingDemographic data for student participants can be found in Table 1. The race and ethnicity profileof the sample broadly reflects that of the California community colleges from which studentswere recruited. We next evaluated
. Matusovich, and S. R. Brunhaver, “Understanding the socializer influence on engineering students’ career planning,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2018, vol. 2018-June, doi: 10.18260/1-2--31182.[15] J. S. Eccles and A. Wigfield, “Expectancy-Value Theory to Situated Expectancy-Value Theory: Reflections on the Legacy of 40+ Years of Working Together,” Motiv. Sci., vol. 9, no. 1, pp. 1–12, 2023, doi: 10.1037/mot0000275.[16] A. Wigfield and J. S. Eccles, “Expectancy–value theory of achievement motivation,” Contemp. Educ. Psychol., vol. 25, no. 1, pp. 68–81, 2000.[17] J. S. Eccles and A. Wigfield, “Motivational Beliefs, Values, and Goals,” Annu. Rev. Psychol., vol. 53, pp
work in progress. This increased IAC engagement withcampus was spoken of favorably during the next advisory board meeting. Overall, the responsefrom the IAC members who participated was quite enthusiastic, and most have committed torepeating the process again.The technique is being repeated with the next set of students who started one term later. This setis a much smaller set of students, but again can help to refine the process.Going forward, the intent is to roll the assessment out to all senior design teams and then lookcloser at how this approach impacts the validity of the internal assessment. There is alsoconsideration of having students complete a follow-up reflection on the IAC feedback.References[1] M. El-Sayed and J. El-Sayed
we willobserve their teaching when implementing the game lesson. Data will then be coded andanalyzed using thematic analysis to find out the change in preparedness and engagement towardsteaching computer science.IntroductionIn response to the lack of engineering and computer science education in high school, the NextGeneration Science Standards (NGSS) were created in 2014 by twenty-six states with twentystates adopting these standards [1]. The NGSS shifted science instruction to incorporate cross-cutting (utilizing common themes among STEM disciplines) engineering standards and expandon computational thinking skills [2]. However, as technology and computing have advanced, theNGSS do not reflect the modern skills needed for computing to
using worksheets and students were required to write theirwork into a bound notebook (3-ring binder, science notebook, or spiral bound). This handwrittenhomework approach was used to develop student’s ability to express their work clearly. Duringeach test, the notebooks were collected and scored. The instructor gave feedback on errors thatwere noticed and gave a score that reflected the student’s ability to communicate and execute thematerial. The scores did not impact the student’s course grade; however, if a student earned apassing score on all the notebook checks, then the final’s scaled percentage was able to replacethe lowest exam grade.Second Iteration (Winter 2022-2023)In the second quarter, two sections consisting of 62 students were
4.33 I felt comfortable sharing my thoughts and questions during gameQ10 sessions. 4.09 4.07Q11 The game covered all necessary topics related to hydrogen production. 4.13 4.14 The topics covered in the game were relevant to my overall courseQ12 understanding. 4.30 3.71Q13 The assessments within the game were clear and fair. 4.21 4.14 My performance in the game accurately reflects understanding ofQ14 content. 4.09
goes beyond explicit content, aiming to identify underlying concepts, patterns, and thus themes that are not at first apparent; it entails interpreting data to uncover the implicit, or hidden, meanings and insights in a particular text. We analyzed this secondary dataset in repeated and systematic movements between these different phases in a spirit of inquiry and interpretation toward answering our proposed research questions[79], [80], [81], [82], [83], and viewed our reflection and activeroles as both researchers and IDR program members as crucially important to addressing the inevitable subjectivity of the Qualitative paradigm. pecifically, we first established Familiarization based on
components involves strategic utilization ofBlender and SolidWorks software. Blender's “. blend" file format seamlessly integrates into Unity'sassets for designing the fan. SolidWorks-generated components are reimagined in Blender forcompatibility with Unity as shown in Figure 2. The wind turbine model is sourced from the Unity3D Asset Store, providing a pre-built foundation [3].Within Unity 3D, the design process continues with the creation of essential elements, leveragingmesh colliders and scripting for user interaction as shown in Figures 3, 4, 5, and 6. The additionof reflections enhances visual appeal, contributing to a more immersive and realistic userexperience. The design process seamlessly integrates Blender, SolidWorks, and Unity 3D
the parallel and series combinations 2. Ohm’s law 3. Voltage and current dividers 4. Time-dependent effects such as R-C chargingThe math and physics required for explaining these topics is relatively straightforward and canbe built intuitively. This approach is reflected in the selection of lab topics which are thenfollowed by applications, such as using a timer IC NE555 and linear voltage regulator LM317.While these applications may look intimidating at first glance, they require only a handful ofcomponents. The LM317 lab illustrates the application of voltage division and Kirchoff’s laws,and results in a useful circuit. Similarly, the application of NE555 illustrates a practical designthat utilizes R-C charging and voltage division
day the surveys were distributed. All subscales from the StRIP questionnaireprompted participants to reflect on the class activities in which they were asked to engage duringa specific class period. Additionally, students self-reported their gender identity. We present allmeasures used in the present study in Table 1 and descriptive statistics and correlations betweenmeasures for all students and by students' gender identity in Table 2. Table 1. Abbreviations & Sample Items for Measures Measure Abbreviation Sample Item Belongingness BEL “I have a sense of belongingness in this class.” Affective Response AR “I enjoyed the activities.” Behavioral Response
of the post-quiz, correct responses had impressively increased to 60%, and incorrect responseshad decreased to 30 %. This overall improvement reflects positively on the effectiveness of theeducational video applied between the assessments, particularly in enhancing the understanding ofdislocations in materials science.ConclusionsIn conclusion, this paper highlights the significance of addressing the challenges students face invisualizing complex concepts in materials science education, particularly pertaining to dislocationsand their influence on material properties. The development of animated visual aids emerged as apromising solution to enhance understanding and engagement in the classroom setting.Through meticulous planning and
will see in industry upon graduation from MMA. Student responses to this question were also notably less positive than others. However, they rated this question 3.8 out of 5, compared to 3.5 out of 5 for Question 5. We believe Proceedings of the 2022 Conference for Industry and Education Collaboration Copyright ©2022, American Society for Engineering Education ETD 425 this reflects the realization by many students that not every ship on which they may sail will have the most current technology.Conclusion We feel that the annual training cruise is a significant experiential
). Observational learning fromanimated models: Effects of modality and reflection on transfer. Contemporary EducationalPsychology, 34(1), 1-8.[16] Woods, D.R., Issues in Implementation in an Otherwise Conventional Programme. In Boud,D.& Feletti, G.I. (eds.) The challenge of Problem-Based learning, 2nd ed, Kogan Page, London.173-180, (1997).[17] Woods, D. R., Hrymak, A.N., Marshall, R.R., Wood, P.E., Crowe, C.M., Hoffman, T.W.,Wright, J.D., Taylor, P.A., Woodhouse, K.A., & Bouchard, C.G.K., Developing Problem SolvingSkills: The McMaster Problem Solving Program. Journal of Engineering Education, 86, 2, 75-91,(1997).[18] Mills, J., Treagust, D. Engineering Education, Is Problem-based or Project-based Learningthe Answer. Aust J Eng Educ. Jan. 1, 2003
and infrastructure, our narrative delves into theintangible yet indispensable aspects of program development—cultivating a culture andfostering legacies. In the nascent stages of our program, the cultivation of a distinct identityand a sense of belonging proved instrumental in galvanizing student interest andengagement. Through a tapestry of shared experiences, traditions, and milestones, wesought to instill a sense of pride and ownership among our burgeoning engineeringcommunity.In essence, this reflective narrative serves as a compendium of best practices and lessonslearned, offering guidance to nascent engineering programs embarking on a similar journey.Moreover, it beckons to established programs grappling with the imperative of
thinking, which topped their list in 2020 [2]. While difficult tocontain in a single definition, Scriven and Paul’s description of the term at the 8th AnnualInternational Conference on Critical Thinking and Education Reform in 1987 is widely accepted:“the intellectually disciplined process of actively and skillfully conceptualizing, applying,analyzing, synthesizing, and/or evaluating information gathered from, or generated by,observation, experience, reflection, reasoning, or communication, as a guide to belief and action”[3]. Considering this complex activity through two lenses of creative thinking, which is“divergent, starting from the description of the problem and diverging it to give many ideas forsolving it, or possible answers to it,” and
. She works closely with students of diverse backgrounds and learning styles, ensuring that everyone feels valued and heard in her courses. Her commitment to excellence is evident through her active participation in teaching workshops at the Center for Excellence in Teaching and Learning (CETL) at UConn. Lina’s work in academia reflects her dedication to enhancing education and fostering a sense of belonging among students. Her contributions in both teaching and research continue to make a lasting impact in her field. ©American Society for Engineering Education, 2024 Engaging Minds, Elevating Performance: The Transformative Power of Interactive Review Sessions in Computer
Coaching." International Journal of Evidence Based Coaching & Despite these limitations, preliminary findings suggest the Mentoring 20, no. 2 (2022).potential of AI coaching in improving presentation skills among [5] Terblanche, Nicky, and Martin Kidd. "Adoption factors and moderatingparticipants. The analysis of data from surveys and Edy's effects of age and gender that influence the intention to use a non-directivefeedback provides valuable insights into the effectiveness of AI reflective coaching chatbot." SAGE Open 12, no. 2 (2022):coaching interventions in this domain. While developing 21582440221096136.findings about the perception of AI coaches, this exploratory
a Venn-diagram representation of the suggestions our algorithm provided for theimplementation of the Risk Management family compared with the key ideas and responsesrecorded from the interviews when employees of Kari-out were asked about managing risks. Thesuggestions from our algorithm originate from the list of the most representative tokens for theRisk Management family produced by the TF-IDF algorithm. The intersection represents ideasand concepts that were reflected in both our algorithm and the interviews for the RiskManagement Family. The numbers next to the tokens found in the intersection represent the rankof each representative token of the family. The average, 4.57, shows that the top 4.57 tokensfrom this family are represented
growth and development of the University. My interest deeply lies in the intricacies of supply chain mechanics and their optimization. Beyond the theoretical knowledge, I have a hands-on approach to data. I am proficient in using advanced analytical tools such as Microsoft Office, Tableau, Python, Power BI and SAS to dive deep into data, analyze it, and present it visually. This skill set not only broadens my understanding of supply chain dynamics but also enables me to propose innovative solutions to enhance their efficiency. My dedication to my field is reflected in my continuous quest for knowledge and my desire to make a meaningful contribution to the improvement of supply chain systems. The combination of my
applicable communication,reasoning, and reflection skills. These skills enhance students' abilities and help them engagewith other aspects of the engineering program, such as group work and work placements.This is followed by teaching the students the concept of engineering ethics, which encompassesthe specific application of ethics in engineering. Engineering ethics often involves choices on anorganizational rather than a personal level. We want our students to be aware of engineeringethics as the body of philosophy indicates how engineers should conduct themselvesprofessionally.Our presentation of engineering ethics involved a review of the Code of Ethics for Engineersusing the fundamental canon of the NSPE [3]. Engineers, in the fulfillment of
this component, weview PAL path recommendation as a reinforcement learning [28] task that is to learn a policy torecommend personalized learning path based on the knowledge level and the knowledge structure ofprogramming education, where the knowledge level reflects the masteries on learning items.3. Smart programming assistantLearning programming for engineering students is a challenging task since it requires the students tobe familiar with tools of coding and debugging, as well as be able to convert the task into mathematicalprocesses of solutions to special problems. Specifically, due to lacking training on mathematicalabstracted thinking, the students usually suffer from learning programming without assistants,especially when they are
energy-conscious engineers. Experiential education is Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX Copyright 2023, American Society for Engineering Education 2defined as a teaching philosophy that informs many methodologies in which educators purposefullyengage with learners in direct experience and focused reflection in order to increase knowledge,develop skills, clarify values, and develop people's capacity to contribute to their communities.3Experiential education is particularly important in engineering education, and has been effectivelyutilized for years.4-6
. Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX Copyright ã 2023, American Society for Engineering EducationHowever, when the problem was broken down into individual parts, each addressing a well-defined operation – speed being the ratio of distance over time, computation of the time constant,time taken to charge up to a given value – their performance was better. This was a reflection ofConscious Incompetence.(ii) The problem was then expanded to apply the technique in the previous problem to assess thespeeds of multiple horses on the same track. One approach could be to have three different RCcircuits, one for each horse so you can determine
protection engineering initiative.The conclusion of this track results in the attainment of a certificate in fire protection engineering,which is reflected on the transcript. This specialization is established through a collaboration withPantex and the Department of Energy, driven by the identified demand for fire protection engineerswithin the National Nuclear Security Agency. The mechanical engineering program also provides arange of elective courses, such as sustainability, robotics, power plants, combustion theory, alongwith several approved 3000 level courses from civil, environmental, and electrical engineeringprograms. Civil EngineeringThe civil engineering program was approved by the TAMU system and