the GPCG and AC methods asshown in the histograms 11a, 11b, 11c, 11d, exhibit distinct trends. Both Q1-GPCG and Q1-AChave approximately symmetrical feedback distributions with skewness values of 0.11, thoughQ1-AC has a slight bias towards higher ratings, and Q1-GPCG shows a neutral pattern. Incontrast, Q2-AC shows a skewness of -0.96, reflecting a strong preference for higher ratings,while Q2-GPCG, with a skewness of 0.96, tends towards lower ratings. Observation 1 The Additional Context(AC) method, providing course-relevant information, is better for generating feedback on project proposals as it not only offers feedback but also responds to questions regarding proposal rubrics related to the course, which cannot be answered by
matter by applying concepts taught in class tosolve numerical problems, write proofs, and reflect on ideas. The networking tools componentswere meant to provide the students with hands-on experience and familiarity with networkingtools. Homework assignments were graded as “high pass”, “low pass”, “revision needed”, or“fail”. The homeworks consist of questions labeled “low pass” (LP) and “high pass” (HP).Students must pass all the LP questions to receive a “low pass” in the homework. Students mustpass all the “low pass” questions and a fraction of the HP questions as specified in advance toreceive a “high pass” in the homework. If a student receives a “low pass” or “revision needed”grade, the student may revise and resubmit their homework
students to spread out and sit where they felt most comfortable. Given this limitationthere was less group discussion and this was reflected in overall lower scores on the multiple-choicequestions.Another area for future improvement is tracking the scores on the multiple choice questions duringthe individual answers as well as the answers after the group discussion. Currently the individualanswers are replaced by the new answers. These data, combined with questionnaire response aboutgroup discussion, will offer valuable insight into the effectiveness of group discussion.Typically this course has a high drop, fail, withdraw rate (DFW), generally less than 60% of the stu-dents pass their first time talking this course. Active learning interventions
framework to assess/train themselves, it acts as abridge between educators, employees, and businesses.The NICE Framework and the TKSA model has been a foundation of several cybersecurityresearch work. Kim et al. proposed identifying the commonality and differences among threedifferent sectors; the government, academia, and private, with respect to TKSA [13]. Theirresearch was conducted by performing an ontological qualitative analysis using archival data andthis was a limitation of their research, because of their data being archival, their findings mightnot reflect the current market. Nevertheless, their research provides excellent insight into howTKSA can be related to roles in different sectors. While this research was helpful, it only pointsout
as an upward stair-like pattern. The widthof the horizontal steps is determined by the number and distribution of graded activitiesthroughout the course, while the height reflects the weights of these assignments and activities.A student's struggle in a course can be visualized by the difference between their cumulativenormalized and possible score curves. This difference tends to increase over time, particularly forat-risk students, indicating a steeper decline in performance. Additionally, this data allows forcomparisons between the progress of an average at-risk student and an average passing student.Figure 1 (bottom) displays such progressions side by side, with averaging resulting in smoother,almost linear curves, while maintaining
. The involvement of high-profile governmental entities highlights the national importance placed on quantum education.[9]. These efforts by both private and public sectors reflect a growing recognition of theimportance of quantum education and its pivotal role in preparing a skilled workforce for thefuture. As with cybersecurity initiatives led by NICE and NSF, Quantum educational initiativesneed to learn from the failures of preparing cybersecurity workforce [10], adapt well designframeworks and accelerate educational initiatives to bridge the current skills gap and ensuringthat the workforce is ready for the challenges and opportunities of the post-quantum era. Wepropose that there is no need to ‘redesign the wheel’.Incorporating Quantum
require students to apply the information they obtainfrom ChatGPT in creative and critical ways. For example, students can use the information as astarting point to conduct further research, analyze data, or develop innovative solutions. We canteach students how to formulate open-ended and thought-provoking questions. Encourage them touse ChatGPT as a tool to help answer these questions rather than relying solely on prefabricatedresponses. Encourage students to reflect on their learning experiences when using ChatGPT. Askthem to consider how the tool has influenced their thinking and problem-solving processes andwhether they are relying too heavily on it. Faculty need to provide feedback on students' use of ChatGPT-generated content
) develop strategies to besuccessful in computing, and iii) develop career plans and explore resources. To achieve theseobjectives, we designed a set of course-specific mentoring activities. In our initiative, we formeda group of mentors composed of successful alumni, graduate students, senior students, industrialpersonnel, and faculty of different races, genders, and ethnicities.We performed anonymous surveys, interviews, and reflections to answer our second researchquestion. We also analyzed students' course performance. Results show that mentoring improvesthe sense of belonging and confidence for both groups of students. Data also indicates first-yearstudents prefer mentoring to succeed academically (e.g., learning programming). On the otherhand
the quote from themovie Cool Hand Luke: “What we've got here is failure to communicate [1], [2]." The luridheadline reflects ongoing debate in STEM classrooms on what credence should be given toteacher and student expectations and how to reconcile them when they are at odds. Ubiquitousstudent surveys lack scientific rigor and provide limited insight on teaching effectiveness andhow to improve student outcomes. A teacher may have happy, inspired students and angry,frustrated students in the same classroom. We seek to understand why this is so and what wouldhave helped the struggling teacher and students. Students need help learning difficult subjectmatter. Teachers need help understanding their students’ needs and guidance on best
students suggested modifications to the overall program structure,course topics, and instructional approaches. For example, students thought that courses in the CSprogram did not connect well with each other. Aligned with Bruner’s [48] Spiral CurriculumFramework, learning often starts with introducing a topic, mastering that topic, revisiting thattopic in a higher-level course, and finally making connections to other topics in the higher-levelcourses. As students responded that the latter part of the learning cycle (i.e., creating connectionsbetween courses) is missing in the CS pathway, one approach instructors can use is to not onlyrevisit concepts from prior courses, but also ask students to reflect on how this revisited conceptrelates to the