fostering diversity, but few studies [5], [6] dig deeply into the specificchallenges and aspirations of women in engineering programs within these institutions. Addressingthis gap is essential to tailoring interventions and policies that reflect the unique needs andstrengths of this demographic.The findings of this work have implications that extend beyond academic inquiry. Insights gainedfrom this research can inform institutional policies at HBCUs by highlighting the importance ofmentorship, community support, and targeted interventions to enhance retention and successamong women in engineering. These findings could bring about broader diversity and inclusionefforts within engineering education, contributing to a more innovative and
“Artificial Intelligence” or “AI” in the title. The set can beexpanded to over 100 by adding terms such as “Machine Learning”, “Large Language Models”,or “Generative”. Results are spread across most ASEE divisions, reflecting the intense interestengineering educators have in using modern AI-based tools in the classroom. Proposed uses ofAI are too many to enumerate here, but broad topics include techniques for teaching studentshow to use AI, recommendations to instructors on using AI tools to assist with curriculumdevelopment and assessment, the ethics of AI use in the classroom, and advances in AI forsolving engineering problems.Given the focus on these emerging tools by educators and students alike, it is imprudent toignore their use in any field of
experiencedfaculty with less seasoned colleagues to foster professional growth. Long-term initiatives, suchas learning communities or certificate programs, allow for deeper exploration of themes likepedagogical innovation, research development, and leadership skills. Online courses andwebinars have gained prominence, providing flexible, accessible opportunities for professionallearning. Faculty retreats create space for reflection, strategic planning, and collaboration, oftenaligning development efforts with institutional priorities. Additionally, peer observation andfeedback programs promote continuous improvement through constructive dialogue amongcolleagues [2]. These varied approaches ensure that faculty development can be adapted to meetthe unique
innovations and their implications for decision-making.Curriculum Design: Case Studies and Experiential LearningThe curriculum was designed with a modular structure, as depicted in Figure 1. The course beginswith three lessons devoted to establishing the foundational concepts and themes described earlier.Following this introduction, the course transitions into a series of modules, each consisting of acase study followed by several lessons involving experiential learning activities conducted both inand out of the classroom. As noted previously, each module reinforces the course’s core concepts,themes, and desired outcomes. One advantage of this modular approach is its flexibility;individual modules can be easily updated or replaced to reflect changes
National Conferences on Education for Highway Engineering and HighwayTransport, the attendants identified major problems and solutions associated with highwayengineering including the need for vocational training, safety concerns, professionaldevelopment, the need for engineers to work with and within local government, and the need toimprove the instruction of highway engineering through course and instructor development.They also identified the need to improve and increase research on a variety of highway issuesincluding legislation and international approaches to road development,The immediate safety concerns presented by Harriet Beard [15] at the First National Conferenceon Education for Highway Engineering and Highway Transport reflect some
responses to each question to gain a detailedunderstanding of the participants' perspectives.Question 1: In your own words, how would you describe Artificial Intelligence (AI)?When asked to describe Artificial Intelligence (AI) in their own words, the responses fromparticipants revealed a wide range of perceptions, reflecting both positive and negative views ofthe technology. The majority of participants (36%) described AI as a tool designed to enhanceefficiency and assist with tasks. Many respondents highlighted its ability to save time, streamlineresearch, and improve productivity in academic and professional settings. Phrases such as "ahelpful tool," "a way to quickly search content," and "a tool that enhances daily life" werefrequently
inimplementing automation and robotics technologies in the classroom and in the industry,reflecting the conservative nature of the industry. They also indicated a perceived lack of interestamong civil engineering students at that time in learning about construction automation androbotics.Current status of incorporating automation in construction educationIncorporating automation-related concepts and practices in the construction managementeducation curriculum is important for preparing future professionals to navigate the rapidlyevolving landscape of the construction industry [6]. The construction sector increasinglyembraces technological advancements in planning, design, construction, andoperation/maintenance, posing a need that students must be
offormative assessments allows instructors to identify gaps in understanding and adjust theirteaching methods accordingly, ensuring that all students receive the support they need to succeed[18]. These strategies, when implemented effectively, can help bridge the gap for unpreparedstudents and enhance their overall academic experience.During our time at Lincoln University, we have observed that students, regardless of their initialacademic readiness, exhibit a profound eagerness to learn and possess significant potential. Thispaper offers insights and reflections from our experiences working with students who, whileoften underprepared, demonstrate resilience and a deep commitment to their education. Buildingon these experiences, we propose strategies
a policy is non-preemptive, as seen in Figure 3 fornon-preemptive processes such as FIFO and SJF. General feedback, in contrast, applies to everypolicy. An example of general feedback is that a student has allocated too much (or too little) timeto a process. Figure 4 illustrates many examples of generic feedback. These general and Figure 1: GraySim Displaying Multi-Level Feedback Queue Figure 2: Student Selection of Answerpolicy-specific feedback messages allow students to reflect on their mistakes without actuallyviewing the solution. In addition, they reduce the amount of direct feedback the instructor mustprovide.When the “Show Solution” button is selected, the solution is shown to the student
havepositive impact on their professional identity. Another effective pedagogical strategy is to usecase studies that highlight successful engineering projects where socio-technical considerationsplayed a crucial role [3]. Analyzing these examples through systems thinking can help studentsunderstand the impact of non-technical factors on project outcomes [4].Design Pedagogy to Teach Socio-Technical ThinkingEngineering design courses encourage a comprehensive approach to problem-solving byintegrating technical and social dimensions. Effective engineering design involves collaborationwith various stakeholders, ensuring that their perspectives and needs are considered. Thisengagement fosters reflective practice, empathy and a deeper understanding of the
: I do not have the professional or academic position to contribute. Many project teams,like Team W, include individuals across professional and academic positions. When thesepositions span across ranks (e.g., early career faculty, administrators, students), individuals mayfeel hesitant to share their ideas [16]. One of the student researchers on Team W reflected, I was very uncomfortable from the get-go because… I’m around like rockstar talent super stars and you have a little bit of that imposter syndrome when you’re just doubting your own ability and what you have to add to the conversation…. I really appreciated that, especially with students that may have those identities that are hyper marginalized, who are always used to
course, students refine their skills in project design,analysis, management, and documentation to manage their resources efficiently, meet deadlines ina timely manner, and keep technical standards intact. These practices will help match students tothe expectations of the workplace. The projects assigned to students usually reflect the sponsor'sgoals and intentions for research or innovative technology solutions.1.3. Capstone Design at Florida Polytechnic University At Florida Polytechnic University, students from all the degrees offered at the university enrollin the same, multidisciplinary capstone course. The capstone course is a two-semester sequenceduring the final year of academic tenure. Students are provided with a workspace to
underserved students who had the most to benefit from them. Reflection from priorprograms also highlighted some of the challenges that faculty observed with hosting high schoolstudents, such as limited background knowledge and skills to engage in lab researchmeaningfully and the need for supervision. To address these challenges, and buoyed by the OhioSummer Learning and Afterschool Opportunities Grant Program, university faculty and schoolpersonnel collaborated to develop a program that integrated a lab research experience with ateacher-led curriculum that integrated social emotional learning skills, research skills andprovided a support structure for high school students.The goals of the program focused on exposing students to authentic science and
functions of cells. The course alsodiscusses dysfunctions in different parts of the cells and their relations to various diseases (e.g.,cancer, neurological disorders, etc.), and the basics of tissue engineering. It is generally taken byundergraduate ChemBE students of different levels (e.g., sophomores, juniors, and seniors) whoare interested in future careers related to biotechnology or medicine. The interventions that weapplied in the classroom were inspired by various theoretical frameworks. A qualitative analysisof students’ reflections about the course, obtained from the course offered in two Spring semestersin 2023 and 2024, helped us to identify the factors that positively influenced students’ learningexperiences and mostly answered our
learning outcomes is vital. Theneed for cognitive closure construct that reflects an individual’s desire for a firm answer on agiven topic, any answer, and ambiguity aversion will be examined through five facets: order,predictability, decisiveness, discomfort with ambiguity, and close-mindedness, whileachievement goal orientation includes performance-driven and mastery-oriented goals. Theexisting literature in psychological research suggests there is a theoretical link between theneed for cognitive closure and achievement goal orientation, while limited research on thisrelation exists in the engineering discipline. The students with high cognitive closure strugglewith mastery objectives as they tend to avoid uncertain and ambiguous situations
variededucational backgrounds of students, allowing them to learn in ways that resonate with theirindividual experiences [3]. This method mitigates the common student frustration of uncertaintyregarding their learning needs, which is often exacerbated in traditional instructional settings.By placing students at the center of the learning process, educators can foster an environmentwhere learners take ownership of their education, thereby enhancing engagement andcomprehension. The necessity for tailored educational content, particularly in fields likerenewable energy, is underscored by Shehzad et al., who advocate for the development ofcurricula that reflect current knowledge and practices in renewable energy [2].This involves creating educational materials
. What challenges did you face when making and utilizing SMART Farm kits? 3. Do you think the SMART Farm kits are applicable in STEM-integrated courses from a 5. Can you share your reflection on the utilization teacher’s perspective? Reflect on the following of SMART Farm kits? aspects. • Preparation and instruction difficulty • Cost • Time management • Student evaluation • Collaboration with colleagues 4. What challenges did you face when using and teaching SMART Farm kits?Results The current section describes the development of SMART farm kit and teachers’ andstudents’ interview responses according to key components of the project.The
-worldimplications to students’ abilities to empathize, relate emotionally, and reflect on ethical orinclusive practice [12]. Too, the existence of codes and regulations in construction educationalmost exclusively focuses on the resulting building being inclusive and accessible as in Marteland Paton-Cole [13], rather than on improving conditions for the workers doing the building.There are a few examples in the literature that get closer to uniting teaching with professionalpractice around disability in construction education. These tend to be descriptions rather thanevaluations of educational or curricular interventions and come from other related fields such asarchitecture. Most pertinent may be Livingston’s 2000 article [14] describing a
highestgap among the other options. The Level of The Amount of Amount My My cell educational engagement organization feedback/support of course computer phone Professor environment in course of the course from professor work Average 64.71% 61.73% 63.71% 66.92% 60.50% 62.24% 59.94% 67.14% Standard Deviation 6.12% 10.04% 9.47% 16.56% 13.93% 16.97% 18.01% 18.45%Table 2. Summary statistics of Table 1.Table 3, just like the design of Table 1, reflects Part B of the research correlation values. Given
progress for individual assignments, and radar plots that show students'actual achievements and reflections on their learning. Our findings indicate that visualizingstudents' learning in a dashboard provides opportunities to tailor feedback to address theirspecific learning needs and supports student scaffolding. Continuous quality improvementrequires both a mechanism to collect feedback on students' learning and a dashboard thatvisualizes how the feedback is used to improve the quality of instruction and learning integrity.Keywords: Dashboard, Continuous quality improvement, Grading, Feedback, RubricIntroductionEducational institutions face increasing pressure to demonstrate the effectiveness of theirinstructional methods, particularly due to
initiatives like team-based projects, technical communication courses, and other skill-building activities designed to prepare graduates for the workforce [15]. Key competencies for lifelong learning include self-reflection and self-regulation whichenable learners to identify areas for improvement and take deliberate actions for improvement[16]. Self-directed learning, characterized by individuals taking the initiative to assess their owneducational needs, set objectives, and evaluate outcomes, is also an important element of lifelonglearning [17]. Strategies such as self-reflection, self-regulation, and proactive learning empowerindividuals to take control of their growth. Froehle et al [18] highlight the significance ofexperiential learning
currently ina new round of participant recruitment. Our data in this paper reflects the findings from ourinitial round of data collection.The traditional educational environment considered in this study includes several of theuniversity’s low-level undergraduate coding classes. They are made up primarily of computer-focused majors and consist of undergraduates of all ages and skill levels. The non-traditionaleducational environments follow two avenues: meetups and bootcamps. Coding meetups andworkshops serve a wider range of individuals than university courses, involving people from alldifferent walks of life, skill, and experience. Our primary non-traditional object of observation,meetups consist of small, intimate groups discussing their
examples of ethics instruction identified by Walling [2] include: • Berne and Schummer’s use of discussion prompts to engage students in a discussion of the ethical implications of nanotechnologies featured in selected science fiction publication [3]. • McQueeney’s use of real-world business dilemmas to prompt students to write their own personal responses, writing which then serves to prompt class discussion [4]. • Johnston’s of ethical dilemmas for students to analyze in both writing and an oral presentation. In addition, students were asked to log or journal their developing ethical thoughts and concerns as they reflected upon the dilemma [5]. • Brummel et al’ s use role-play scenarios to teach
21,546 21,500 21,000 20,720 20,683 20,989 20,500 20,000 20,233 19,500 Fall 2020 Fall 2021 Fall 2022 Fall 2023 Fall 2024 Figure 1: Enrollment Trends at Illinois State University (2020–2024)[7]ISU's strategic vision encompasses sustainability and innovation, aiming to meet enrollmentdemands while fostering forward-thinking initiatives. The new engineering facilities are designedwith environmentally friendly principles, incorporating renewable energy sources and advancedbuilding management systems. This reflects the university's commitment to
began in the fall of 2019; lectures were recorded during the spring of 2020 face-to-face sessions using lecture capture technology, then edited and adapted for the online course,which launched in the summer of 2020.One of the main challenges in transitioning to an asynchronous format was preserving the dynamicinteractivity that supported student learning and reflected the instructor's distinctive teaching style. Inthe face-to-face delivery of this course, the instructor regularly used graded clicker questions andpaused at frequent intervals during the lecture to implement various questioning techniques to engagestudents and monitor their comprehension. Recognizing the importance of this course component, thedesign team looked for ways to
why do they matter? 4. 10:05 - 10:30 am 4. Break: Reflection on what course are you choosing to focus on and what problems are you seeking to solve? 5. 10:30 - 11:30 am 5. Hooks and Problem-Based Learning Day 01 6. 11:30 - 12:30 pm 6. Creating Value, Design Activity 7. 12:30 - 1:30 pm 7. Lunch 8. 1:30 - 2:30 pm 8. Curiosity, Think-Pair-Share Activity 9. 2:30 - 3:00 pm 9. Question Formation Technique 10.3:00 - 3:15 pm 10.Break 11.3:15 - 3:45 pm 11.Connections 12.3:45 - 4:25 pm 12.Jigsaw Activity, The Other 3 C’s
, but they were given one additional day to submit theirwork. Students typically completed the homework outside of class. Therefore, we cannot certifythat regular students in the course did not use AI tools to generate code for the assignments.Because of the difference of sample size between the two groups (n=3 for subjects explicitelyusing ChatGPT vs n=54 for students enrolled in the course), no statistical comparison wasperformed.A qualitative analysis was also performed to analyze the conversation between the subjects andChatGPT and their written reflections on the assignment. In particular, we determined thenumber and type of follow-up prompts that the subjects entered to request changes in the AI-generated code. We define prompt as a text
confident that ChatGPT's solution is correct?" If they identifiedany errors in ChatGPT’s solution, they were instructed to circle the incorrect parts and briefly theexplain the issues with the provided solution.Students in Statics were additionally instructed to utilize AI tools with image-processingcapabilities to tackle two challenging problems, such as creating shear force and bending momentdiagrams for a beam under various loads as a class project. They then compared their solutionswith those generated by the AI. Following this exercise, students were asked to identifydiscrepancies between their responses and the AI-generated results and reflect on the AI'sperformance. This activity provided them with valuable knowledge and deeper insights into
3.09 3.05 2.93 2.98 3.41 3.24 2.88 3.59 2.98 3.29 3.00 Diversity and inclusion 3.03 2.77 3.20 2.93 3.30 3.07 2.96 3.51 2.94 3.13 3.02 Study skills 2.98 3.02 2.73 2.95 3.09 3.20 2.74 3.56 2.87 3.29 2.87 Figure 6. Topics of interest by gender identity and subgroups of women.3.2.1 Topics of Interest for Women by SubgroupSignificant differences emerged between undergraduate and graduate women reflecting theirdiffering
each team member. We offer valuable insightsinto the dynamics of interdisciplinary collaboration, the importance of adaptability andresponsiveness to participant needs, and strategies for fostering trust and rapport withunderrepresented students. Our findings and reflections aim to equip future researchers with theknowledge and tools to navigate similar projects effectively, ultimately contributing to advancingdiversity and inclusion in STEM education.Keywords: engineering technology, interdisciplinary collaboration, communication, researcherIntroductionIn 2023, a research initiative funded by the National Science Foundation (NSF) aimed toinvestigate why Black students tend to favor engineering technology over other engineering andSTEM fields