projects. Thisresearch also analyzes how adult learners interactively learn, reflect, and apply their AIknowledge to examples drawn from their workplace, while improving their understanding andreadiness to implement AI technologies effectively.Our three-day workshop centered around enriching and engaging learning about AI technologies,ethics, and leadership, featuring topics like supervised learning and bias, AI strategy, andgenerative AI. Apart from discussions, the workshops incorporated hands-on learning with digitaltools, robots, problem-solving scenarios, and a capstone project. Participants were 44 leadersfrom a large government organization. Their learning was measured through pre- andpost-questionnaires on AI leadership, knowledge checks
]). The SerenePulse webapp harnesses awebcam or selfie camera to capture heartbeats by analyzing fluctuations in light intensity reflected from the skin,a fundamental principle of rPPG technology.HRV metrics In this research, we build upon previous research [16] that detailed on HRV metrics and stress analysis. Heartrate variability (HRV), calculated from the input of rPPG, inter-beat intervals is a crucial physiological markerthat offers insights into the autonomic nervous system’s (ANS) functioning [16]. It reflects the dynamic interplaybetween the sympathetic and parasympathetic branches of the ANS, highlighting the body’s adaptability to stressand relaxation states [39]. Among HRV metrics, SDNN is indicative of autonomic flexibility and
]. With the increase in research publications, the focus on impact indicators has broadened,with citation counts remaining a widely accepted measure. Yet, they are not direct measures ofquality [7]. Despite controversies around these metrics, they continue to be used in academicdecision making. An additional metric that is being used more for evaluating scholarship are downloadcounts [8, 9]. Using downloads reflects a broader view of research impact, considering the actualusage and dissemination of scholarly works. While there is a correlation between downloadmetrics and citations [10], there are situations where this is not the case. For example, papers withfewer citations might be extensively downloaded and used by practitioners
. DiscussionThis research aims to examine students’ in situ demonstration of the cognitive and behavioralskills associated with algorithmic thinking in an introductory computing course in engineering.Our findings indicate that while students are frequently able to produce working code that solvesa wide array of computing problems, their submissions do not always reflect the cognitive skills,such as algorithmic thinking, that are central learning goals in introductory CS education. Thesefindings lead us to question the utility and appropriateness of autograders for assessing andevaluating student learning, particularly as it relates to complex cognitive skills in CS education.Existing research suggests instructor feedback supports students’ learning beyond
from participating in the surveys and interviews in the study.Section 2 (Evening): 13 students were included, constituting 24.5% of the sample. Theseparticipants were 25 to 36 years old, and three declined to participate in the surveys andinterviews.Section 3 (Evening—Control): Ten students formed this section, representing 18.9% of the totalsample. All participants in this section, aged between 25 and 36, completed the surveys andparticipated in the interviews.The gender distribution among the participants was 11.32% female students and 88.68% malestudents, reflecting the typical demographics of industrial engineering programs in the region.This study set out to explore students' perceptions of the effectiveness of active learningcompared to
people and circumstances that differ from those with which students are familiar. Frequent, timely, and constructive feedback. Periodic, structured opportunities to reflect and integrate learning. Opportunities to discover the relevance of learning through real-world applications. Public demonstration of competence.While not all HIPs address each element to the same degree, the list provides a standard forjudging the quality of implementation. It could potentially be used to assess the quality of otherevidence-based curricular and co-curricular activities as well.The most common outcome studied across all high-impact practices is student retention andacademic performance (grade point average). For both measures the result is
observed but no long-term career outcomeevaluation. These studies collectively demonstrate the positive impact of inquiry-based learningin scientific education, albeit with a need for more extensive, long-term evaluations.Dickerson et al. [20] employed a distinctive approach to foster reflection among engineeringstudents within the context of a digital circuits course. This method integrated computer-basedsimulation for digital circuit design with reflective thought prompts administered after a midtermexam for post-exam analysis and contemplation. The study also underscored the significance ofemploying thought-provoking question prompts designed to voluntarily elicit comprehensivereflections after a significant milestone event, such as a midterm
data manipulation at a designatedmemory location.Figure 4: Visual depiction of data placement in the memory in the Data Segment of RARS after programexecution.3.2 Developing a Paint ApplicationIn the lab, students develop a simple "Paint" application on an emulated RISC-V system, akin to initialgraphical projects in HLL courses. This application uses keyboard inputs to create Bitmap displaypatterns, with color addresses representing pixels. The task involves setting a starting pixel and usingkeyboard commands for drawing, reflecting basic HLL logic operations and control flows. This lab'sstructure is in line with notional machine principles as described in [9], sharing pedagogical purposeswith lab 3.1. With regards to the Focus aspect, the
information presented was not helpful for the scholars in theprogram because the presenters did not discuss the funding opportunities, which is essential forlower-income students, as we found in our qualitative study [4]. Hence, we asked the PIs tochange messaging around the grad school within computing, which was reflected in the recentyear showcase, and we find that the students’ understanding of graduate school functions hasimproved. Similarly, we are trying to bridge the gap between students’ perceptions of thesepathways and the institutional messaging around them. Being a stakeholder, the educationresearch team within Flit-GAP also plays an essential role in the computing education ecosystemto meet the students where they are.4 Methods: Data
spy gadgets and their countermeasures, consumers are drawn tospy detector devices. [6]. Spy detectors typically have a common set of features, including RFdetection for wireless cameras and microphones, magnetic field detection for GPS trackers, andflashing LED infrared lights that capture camera lens reflections [1][2]. The more expensivedevices come with sounds and haptic vibrations to alert for possible detection. Unscrupuloussellers make inaccurate claims that devices prevent camera spying when, in reality, the devicesonly provide detection, giving their customers the false impression that a camera is no longercapable of spying on them.This paper presents a project by a senior capstone team of four students who aimed to develop anadvanced
Bit (LSB) of the opcode governs theselection between two results within the same category (logic or arithmetic). In Fig. 2, theopcode is set to “11,” indicating the operation Y = A – B. Initially, the input B undergoes theconversion to its 2’s complement format, followed by addition to A, and the result is showcasedin the hex-display on the right. Modifying the opcode will accordingly reflect the correspondingresults. Opcode Operation 00 AND 01 OR
limit how much educators can help students prepare, it may be worthproviding training to faculty. Whether through industry partnerships to offer workshops or todirectly administer mock interviews, providing such experiences for educators could ultimatelyhelp to foster empathy for what the hiring process may entail and could raise awareness of theexpectations for those who may be unfamiliar with it. Education can be valuable and canempower and equip faculty to better aid their students as well.7 Limitations and Future DirectionsThe study conducted a focus group of a subset of individuals across the United States. However,the experiences and voices represented may not be reflective of all institution types or of alleducators
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
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
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