research includes Architectural and Civil Engineering Project Management, Sustainable and Resilient Urban Infrastructure, and the development of engineers who not only have strong technical and practical knowledge but the social awareness and agency to address global humanitarian, environmental, and social justice challenges. For him, social justice is a concept that should always be involved in discussions on infrastructure. Related to STEM education, Miguel Andres develops disruptive pedagogies for STEM courses as a tool for innovation, and assessing engineering students’ agency to address climate change. Currently, MiguelAndres is working on a framework to support and conduct undergraduate research
, andmalware distribution. On the other hand, good actors use it for real-time threat detection andresponses, vulnerability assessments, phishing and malware detection, user behavior analytics,automated incident response, predictive analytics, network security, and fraud detection to ensurepersonal and organizational data privacy and security.The importance of ML and AI in cybersecurity cannot be overstated, as these technologies enablefaster, more accurate, and efficient solutions to combat evolving cyber threats. IncorporatingAI/ML early and systematically into the university curriculum of public institutions can provideaccessible, cutting-edge education that prepares students for the rapidly evolving job market.Moreover, educating students on AI's
Professoriate and from USFQ in Structures for Construction Professionals. MiguelAndres’s research includes Architectural and Civil Engineering Project Management, Sustainable and Resilient Urban Infrastructure, and the development of engineers who not only have strong technical and practical knowledge but the social awareness and agency to address global humanitarian, environmental, and social justice challenges. For him, social justice is a concept that should always be involved in discussions on infrastructure. Related to STEM education, Miguel Andres develops disruptive pedagogies for STEM courses as a tool for innovation, and assessing engineering students’ agency to address climate change. Currently, MiguelAndres is
demonstrated improved environmental awareness, critical thinking, and motivation to take actionfor ecological preservation. The study highlights VR’s potential to enrich experiential learning inenvironmental education [17].A recent study evaluated the effectiveness of VR in environmental education by comparing 100 middleschool students split into VR-based and traditional learning groups. Using pre- and post-tests andfeedback, the research assessed knowledge retention, engagement, and attitudes. Results showed that VRsignificantly improved understanding, engagement, and pro-environmental attitudes by immersingstudents in virtual ecosystems and environmental scenarios, making complex concepts more accessibleand impactful. This highlights VR's potential
Paper ID #49321Systematic Review: Integrating Technology-Enhanced Design-Thinking intoCivic Education (Works In Progress)Mrs. Munirah Almutairi, North Carolina State University at Raleigh PhD Student in Learning and Teaching in STEM - Engineering and Technology EducationDr. Tamecia R. Jones, North Carolina State University at Raleigh Tamecia Jones is an assistant professor in the STEM Education Department at North Carolina State University College of Education with a research focus on K-12 engineering education, assessment, and informal and formal learning environments. She is a grad ©American Society
, application package components, and programfit. The review reveals significant disparities in access to admissions information, debates aroundthe predictive validity and equity implications of GRE scores, and inconsistencies in howstatements of purpose are assessed. It also highlights emerging practices, such as holistic reviewrubrics and bridge programs, which aim to align applicant strengths with program goals whilereducing systemic barriers. Findings demonstrate the importance of transparent communicationbetween faculty and applicants, the value of mentorship programs for underrepresented students,and the need for admissions models that account for diverse pathways to graduate education.This review concludes with recommendations for future
emerge directly from participants' experiences and perspectives. After establishingcategories, the team conducted frequency counts for each category, providing insights into theprevalence of various aspects of emotional intelligence. Additional perspectives were gatheredfrom two graduate students and five faculty members who served as external reviewers. Second Cycle of Coding: The team employed magnitude coding to assess the strength orintensity of empathic and emotionally intelligent responses within specific categories. Thisevaluation helped understand the relative importance of different aspects of emotionalintelligence in mentoring relationships. The comprehensive coding process incorporated bothfrequency and magnitude analyses, helping
) Duplicates identified by Covidence (n = 94) Marked as ineligible by automation tools (n = 0) Other reasons (n = ) Studies screened (n = 385) Studies excluded (n = 311) Studies sought for retrieval (n = 74) Studies not retrieved (n = 0)Screening Studies assessed for eligibility (n = 74) Studies excluded (n = 43) no access (n = 7
artificial intelligence techniques,offering new opportunities to enhance academic management. The objective of this article isto design a predictive model based on the entry profile of engineering students to assess theirrisk of low academic performance. The study employs a non-experimental quantitativemethodology and machine learning techniques within a Knowledge Discovery in Databases(KDD) framework. The data used in the model includes Weighted Average Grades and socio-demographic factors from the characterization survey that students complete upon enteringthe university. The sample comprises 1,266 students from the Faculty of Engineering at aprivate university in Chile who enrolled in the first semester of 2022. Their academicperformance is
-Trained Transformer (ChatGPT) in the classroom. Evidencesuggests student use of ChatGPT can enhance academic performance, boost affective-motivational states, improve higher-order thinking propensities and reduce mental effort [3].This evolving AI landscape encourages those in higher education to reassess goals, teachingmethods, and assessment strategies. The impact of AI tools is far-reaching and has alreadycaused educators to rethink Bloom’s taxonomy (Table 1) to distinguish between distinctivehuman skills in the learning process and the role of generative AI (Gen AI) tools such asChatGPT in the learning process. Table 1: Bloom’s Taxonomy comparison of human skills in learning and generative AI skills in learning. Adapted from [4
productivity,has also been the focus of discussion. The H-index is often discussed both for its ability toindicate productivity and serve as a point of comparison between an institution’s departmentsor individual researchers [4], [5], [6]. While its importance in assessing research units isrecognized, there is broad agreement that the metric could be refined to better reflect thecomplexities of research impact. Alongside the analysis of scholarly metadata, significant attention has also been givento institutional collaboration. Collaboration among researchers, universities, industries, andinstitutions can influence productivity, with its effectiveness shaped by factors like partnershiptype, proximity, and academic discipline [7], [8]. For example, a
-based learning class, SP.248 The NEET Experience. Rea received his Ph.D. from the Faculty of Education in Science and Technology, Technion—Israel Institute of Technology. His research interests involve the design and evaluation of pedagogical frameworks for fostering and assessing complex problem-solving skills. Recently, Dr. Lavi has received a J-WEL Education Innovation Grant for developing and evaluating an AI-enhanced active learning management platform. He has conducted numerous workshops on complex problem-solving with STEM instructors and published his work in IEEE Transactions on Education, Studies in Educational Evaluation, and Journal of Research in Science Teaching, among others. Rea has two resources
year design projects. The model is described in detail in[19]. In brief, the model runs across the first half of term and includes student applications, aworkshop focused on teaching semi-structured interview best practices, and student-stakeholderconversations that took place in a cafe style setting. Key improvements identified after this first,pilot year were strengthening the preparatory workshop, lengthening time for student-stakeholderconversations, and supporting virtual stakeholder participation.The paper presents (1) an overview of key improvements to the stakeholder café interaction model,(2) an analysis of student and stakeholder perspectives of the café experience in Fall 2024compared to Fall 2023, and (3) an initial assessment of
, water resource management, andgeospatial analysis to determine how water flow connects ecosystems and how the ecology ofcoral reefs are influenced by seagrass, mangrove, lagoon, and riverine systems, providing…awholistic view of these ecosystems,’ (3) ‘gain marketable experience with methods used to studycoral reef systems,’ (4) ‘analyze the heterogeneity and dynamics of hydrological functions andpatterns,’ (5) ‘understand hydrological design and modeling under uncertainty,’ (6) ‘assess theimpacts of hydrological controls on water quality and ecosystem services,’ (7) ‘explore howhumans interact with and impact water resources and ecosystems,’ and (8) ‘learn how to designand execute field experiments in the tropics’” [13, 15].R2R involves
Paper ID #37284Understanding Research on Engineering Students’Experiences and Outcomes from Student DevelopmentPerspectivesQin Liu (Senior Research Associate) Dr. Qin Liu is Senior Research Associate with the Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP), Faculty of Applied Science and Engineering, University of Toronto, Canada. Her research interests include engineering students’ competency development, learning assessment and career trajectories, and equity, diversity and inclusion issues in engineering education. Her academic training was in the field of higher
for me and willallow me to express myself.” PRIORITIZING AGENCY Knowing Core Self Appreciating Kinesthetic Ventures SPARKING AEC-PID PROPELLING Assessing Discomfort FEMALE AEC Spurring Super Girl STUDENT Valuing Points of Mindset SELF Pride Adjusting Views Sustaining Acquiring AEC
both from Michigan Tech. Her research program involves using complementary methods (e.g., statistical modeling and analytics, psychological assessment) to evaluate how individual differences are important and impact behaviors at a cultural, social, and behavioral level. She has served as a project evaluator in the multiple NSF funded projects. American c Society for Engineering Education, 2021 S-STEM Student Reflections and IDP ProcessIntroductionStudent reflections and using individual development plans (IDPs) for mentoring have been anintegral part of an NSF S-STEM project focusing on students pursuing baccalaureate degrees inEngineering
intended to assess the competency of the job applicants, the process is often more akinto a professional examination. Applicants are encouraged to prepare months, or even years beforethey begin looking for a position, an expectation that neglects to consider the obligations andresponsibilities students already have. Moreover, this presumption can result in an unequal dividebetween those who have the time to commit, and those who are unable to do so. To examinestudents’ preparation for technical interviews and their own cultural experiences, we administereda survey at three metropolitan universities in Florida. Specifically, we utilized social cognitivecareer theory to examine: 1) Students’ preparation practices for technical interviews; 2
Paper ID #30371What Can We Learn from Character Education? A Literature Review ofFourProminent Virtues in Engineering EducationDr. Jessica Koehler, Wake Forest University Dr. Jessica Koehler is a Postdoctoral Assistant for the Wake Forest Department of Engineering supporting with the development and assessment of character and ethics education in the engineering program. Since 2015 until her current position at Wake Forest she worked as the Director of Research at a youth develop- ment non-profit, The Future Project, which has worked with tens of thousands of underserved high school students nationwide to support their
☻ ☻☻ ☻ EthicsSR 1 ☺ ☺☺☻SR 2 ☺ ☺☺Tech.Electives ☻☻☻ ☻☻☻StudentsA “pool” of student questions was developed in 2004 with S-L staff at MIT with thehopes that pooling of data could be started and that sharing of the data could helpresearch on the impacts of S-L3. The questionnaire was revised by Cathy Burack for thespring 2006 and is shown in Appendix B.The focus in this study on assessment is on expected long-term results, so individualcourse pre- and post-surveys were not necessarily taken. The results are pooled acrosscourses. It is expected that it will take S-L in several core required courses beforedramatic results are seen.To the statement that service and coursework should be integrated, only 17
provide an opportunity to link manufacturing to materials to in-service failures.This paper describes the detailed learning objectives for the course that are addressed with thisnew strategy and specifics on the biomedical devices, including materials, selection criteria andcase studies, so that other faculty may use them in their courses. Initial assessment data thatexamines the effectiveness of the approach, preliminary data on student learning styles, andstudent perceptions about the effectiveness of this approach are also discussed in the paper. Pre-and post-course concept questionnaires and traditional tests scores were also used to evaluate thisapproach. The paper concludes with summary of the assessment information and future
levels of achievement, formal education, and pre-licensure experience. Specific recommendations from the Levels of Achievement Subcommitteeapplicable to the CEBOK2TC [8]: Substituting achievement for competency in all future references to levels of demonstrated learning Using Bloom’s Taxonomy or a refinement of Bloom’s Taxonomy as the framework for defining levels of achievement in the BOK because the Bloom’s levels of the cognitive domain are widely known and understood across the education community and the use of measurable, action-oriented verbs facilitates more consistent curricula design and assessment Presenting the outcomes in a rubric
American Society for Engineering Education, 2019 Transition Zone: a training ethos designed to scaffold a PhD degreeAbstractThe Transition Zone is our bespoke training programme to support transitions throughdifferent stages in a researcher’s career: (1) into doctoral studies as a high performingresearcher, (2) through doctoral studies to make the most out of their doctorate and associatedtraining and, (3) on exiting, to empower and equip them as highly employable graduates. Thispaper focuses on the first (i.e. ‘Transition In’) and the second transitions (i.e. ‘TransitionThrough’). The purpose of this paper is to offer a programme evaluation of these twotransitions in order to assess whether the
, and other purposes [5], [11]. In some contexts, electronic logs or online portfolios maybe used instead of a physical notebook [11], [12]. In academic and industry laboratories, thesenotebooks are permanent, legal documents that have strict protocols for use in order to clearlydocument procedures, establish intellectual property, and protect research subjects [12], [13].These blank books are a tool of the engineering profession, but are also viewed as pedagogicaltools, recommended as a best practice for undergraduate engineering faculty to use for bothinstructional and assessment purposes [3], [5], [11]. While it has been shown that a blank notebook offers some benefits for engineeringstudents [5], [11], for a student engaging in the
education.• analysis: understand the real-world problem space, especially what the customer most likely truly wants (although rarely realizes it), by eliciting requirements (what to do) and specifications (constraints on how to do it).• design: establish the virtual-world pieces that correspond to those in the analysis and create a conceptual framework in which they reside and interact, as well as a plan to construct it.• implementation: write software based on the design.• testing: assess whether the pieces function individually and collectively.• verification: demonstrate that the software satisfies the requirements and specifications.• validation: demonstrate that the requirements and specifications appropriately address the problem space
program at UC, or who left UC. The demographics of thesestudents are as follows: (a) Gender distribution: 99 (63%) men and 55 (37%) female students;and (b) Ethnicity distribution: 75 (68%) ethnic minority, 68 (27%) white Caucasians, 6 (2%)Asian American, and 5 (2%) in “other” category. We next discuss our three strategies and present their impact on our goals.COHORT BUILDING Cohort Building includes the following activities: Summer Bridge Scholars Program; cohortcourse scheduling; and freshman supplemental collaborative learning math and science courses.Each activity is described first, followed by impact assessment results for the strategy as a whole.Summer Bridge Scholars Program The Summer Bridge Scholars Program is a 7–week residential
36 5 63.9% 33.3% share with others. I believe that the use of the camera will bePre 9 35 2 11.4% 31.4% intrusive to teaching the unit. I view the use of cameras as an important way to Pre add informal assessment of student ideas and 36 5 63.9% 33.3% 10 learning into the unit. I believe I have the necessary school support for Pre downloading the video technology on my school 36 5 83.3% 13.9% 11 computer. I believe I have the necessary equipment and Pre space to
and problematic phenomenon that demands critical examination.1,2,3 Theycontend that inability to recognize the value of perspectives different from conventionalpoints of view limits engineers’ capacity to develop locally appropriate and sustainabletechnologies;4,5,6 assess and effectively communicate risk;7,8 address or prevent socialinjustices that may result from engineering research, products, practices, or decisions;9forge productive international and intercultural collaborations;10 and democratizetechnical knowledge-making.11,12 A frequently proposed solution is the incorporationinto engineering curricula of training that instills in engineering students the ability tolisten to, understand, and take into serious consideration diverse
to increase empathy and empathy awareness inengineering education and practice [11], [12] methods for assessment must be developed tounderstand the impact of these interventions. To be able to assess and equip a more empatheticengineer, empathetic capabilities specific to engineering must be measurable. Our research teamaims to develop an Engineering Empathy Scale (EES). The EES will use Likert-scale ranking ofquestions from engineering specific scenarios based on the constructs of empathy and the modelof empathy in engineering (MEE) as a skill, orientation, and way of being to assess presentempathetic capability of pre-career engineers, engineering educators, and practicing engineers[13]. This scale will help to address the gap in