, technological literacy is absolutely essential in order to allowpeople to function and be productive in our competitive society today.Martin14 (2002) stated that “In a democratic society, technological literacy has individual,societal, and environmental implications…. As individuals, people need (a) to developtechnological abilities so they will better know how to use products; (b) to assess the impacts oftechnological actions; and (c) to develop better decision-making abilities in order to determinewhich technological system or process to use or not use (p.52).” According to the InternationalTechnology Education Association, ITEA3, (1996) “The technologically literate personrecognizes the possibilities advances in technology create and the choices
. Since the syllabus did not clearly specify a grading scheme for writing quality in particular, the quality of the lab reports was below standard. As a trade-off, the decision was made to remove a great deal of points from unacceptable work, with an offer to restore them if corrections were made by the student. In this manner, the student is not penalized for initially expecting low standards, but they must still improve the quality of their work to acceptable levels if they want to obtain full credit. The authors also realized the importance of the assessment scheme on the quality of student learning, and it was noticed that the students’ training on technical writing was not emphasized enough in the practice
research done in situ, we struggled with balancing the tradeoffsbetween the best data collection process for student learning and the best process for rigorousresearch. Having students work in pairs to develop their rankings should require the students toarticulate their reasoning and think more deeply about the task. The result is then a negotiated setof rankings that belongs to the pair of students, rather than the individual students, which makesit difficult to analyze the correlation between individuals’ performances on assessments with therankings. We considered giving the ranking task as a homework assignment, but that option hasseveral disadvantages. First, we could not observe them as they performed the task and thereforewe would lose a
researchedwhy students leave or complete college. In his recent book, Tinto outlines the four conditionsshown by research that students need to be successful in college: high expectations; academic,social, and if needed, financial support; assessment and feedback; and involvement orengagement.4 Tinto states that “the more students are academically and socially engaged withfaculty, staff, and peers, the more likely they are to succeed in college.”4The authors of this research believe that if a student is passionate about an area or subject, thenthey will do well in that area. When we talk to students at community colleges, we are primarily Page
stage would be Unity’s specificimport file compatibility as well as the compatible files still not being able to be imported properlybecause of windows video file decoder. This led to a couple hours of the project being dedicatedsolely to getting the video file into unity and functioning properly. Another design aspect that hadto be considered was the orientation of the plane as well as the main camera that is filming the“scene” of VR. This was mostly due to the unfamiliarity with Unity software.STUDENT SURVEY RESULTS:The final assessment of how this idea fared is done by providing the students with surveys inTables 1 and 2 based on seven criteria listed below:1 Rate your understanding of meaning and nature of the robotics lab course.2
Guild was held in the winter of 2022 at a large urban public university in theSoutheast. It gave students the chance to engage in experiential software projects,community-building activities, and mentorship from computing majors and industryprofessionals. In our research, we applied disciplinary identity theory, with a focus on computingidentity, to explore participants’ perceptions of the experiences and the impact of the Guild ontheir future computing aspirations. Towards this goal, we used a convergent parallelmixed-methods approach. We conducted pre- and post-workshop surveys of (n = 34) students’impressions and goals. In the analysis, we quantitatively assessed responses around students’computing identities and qualitatively evaluated open
] “Oklahoma - 2020 - III.B. Overview of the State.” Accessed: Aug. 26, 2024. [Online]. Available: https://mchb.tvisdata.hrsa.gov/Narratives/Overview/7ccb7d02-eda5-4a73- 87da-4cb5f3c3b70b[25] G. Clark, M. Davis, Shibani, and A. Kumar, “Assessment of fuel switching as a decarbonization strategy in the cement sector,” Energy Convers Manag, vol. 312, p. 118585, Jul. 2024, doi: 10.1016/J.ENCONMAN.2024.118585.[26] M. Rehfeldt, E. Worrell, W. Eichhammer, and T. Fleiter, “A review of the emission reduction potential of fuel switch towards biomass and electricity in European basic materials industry until 2030,” Renewable and Sustainable Energy Reviews, vol. 120, p. 109672, Mar. 2020, doi: 10.1016/J.RSER
of Washington Tacoma. Dr. Hadnagy received her Ph.D. at the University of New Hampshire. Her work falls in the broad areas of surface water quality assessment, physicochemical treatment technology development, and engineering education research. ©American Society for Engineering Education, 2023 From Cooperation to Alliance: Transforming a Transfer Partnership to Promote Engineering Degree Pathways for Underrepresented StudentsAbstractStudents who transfer from one institution to another face a variety of challenges as they exploretransfer pathways and acclimate themselves to their new institution’s policies and practices,including lack of sense of belonging
therefore we are basing our initial evaluation of the course on faculty observations made during the course. Future offerings of the course will include higher enrollment and a more detailed survey to assess particular desired outcomes. All students taking the course were senior level students, andall students successfully completed the course. Faculty observations from the course wereencouraging. Students reported strong satisfaction and value with the labs, projects, andhomework developed. Students were impressed with the delivery of the class for a first timeoffering. One particular student mentioned they had enrolled in the class due to schedulingnecessity and reported that they were glad they had to take the course since they
Issues Test (ESIT): A Discipline-Specific Approach to Assessing Moral Judgement," Sciecne and Engineering Ethics, no. 12, pp. 387-407, 14 July 2009.[23] A. El Badawy, R. Oulton, C. Chadwell, W. Andrews, C. Anovick and T. Gallagher, Integrating Social and Environmental Justice into the Program Educational Objectives of Cal Poly, San Luis Obispo's Civil and Envrionmental Engineering Department, American Soceity of Engineering Educators, 2022.[24] J. Lucena, J. Schneider and J. A. Leydens, Engineering an Sustainable Development, C. Baillie, Ed., Morgan & Claypool, 2010
Proceedings of the Frontiers in Education Conference, Saratoga Springs, NY, Oct. 2008.[14] J. Johnson et al., “Management and assessment of a successful peer mentoring program for increasing freshmen retention,” in Proceedings of the ASEE Annual Conference and Exposition, Indianapolis, IN, June 2014. https://peer.asee.org/22815[15] A. Kulkarni et al., “Peer mentoring in an interdisciplinary computer science training program: Mentor and student perspectives and lessons learned,” in Proceedings of the 2021 ASEE Virtual Annual Conference, Virtual, July 2021. https://peer.asee.org/37571[16] A. Monte, K.A. Sleeman, and G.L. Hein, “Does peer mentoring increase retention of the mentor?” in Proceedings of the Frontiers in Education
.1559- 1816.2008.00362.x.[29] B. G. Tabachnick and L. S. Fidell, Using multivariate statistics, 6th ed. Boston: Pearson Education, 2013.[30] R. L. Gorsuch, “Exploratory Factor Analysis: Its Role in Item Analysis,” J. Pers. Assess., vol. 68, no. 3, pp. 532–560, Jun. 1997, doi: 10.1207/s15327752jpa6803_5.[31] L. R. Fabrigar, D. T. Wegener, R. C. MacCallum, and E. J. Strahan, “Evaluating the use of exploratory factor analysis in psychological research.,” Psychol. Methods, vol. 4, no. 3, pp. 272–299, Sep. 1999, doi: 10.1037/1082-989X.4.3.272.[32] P. J. Curran, S. G. West, and J. F. Finch, “The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.,” Psychol
academic STEM.,” in Women in STEM careers: International perspectives on increasing workforce participation, advancement and leadership, 2014, pp. 146–165.[11] A. L. Belanger, M. P. Joshi, M. A. Fuesting, E. S. Weisgram, H. M. Claypool, and A. B. Diekman, “Putting Belonging in Context: Communal Affordances Signal Belonging in STEM,” Pers. Soc. Psychol. Bull., vol. 46, no. 8, pp. 1186–1204, Aug. 2020, doi: 10.1177/0146167219897181.[12] National Academies of Sciences Engineering, Supporting Students’ College Success: The Role of Assessment of Intrapersonal and Interpersonal Competencies. National Academies Press, 2017. doi: 10.17226/24697.[13] J. B. Norman, M. A. Fuesting, D. M. Geerling, J. M. Chen, S
Bibliometric analysis,” Educationand Information Technologies, Feb. 2024. doi:10.1007/s10639-024-12476-7[4] A. Abdrabou and W. Shakhatreh, “On assessment and evaluation of Teaching ComputerNetworks to electrical engineering students by the aid of a lab course,” Journal of Technologyand Science Education, vol. 11, no. 2, p. 388, Jun. 2021. doi:10.3926/jotse.1186[5] A. Botta, R. Canonico, A. Navarro, G. Stanco and G. Ventre, "Towards a Highly-AvailableSD-WAN: Rapid Failover based on BFD Protocol," 2023 IEEE Conference on NetworkFunction Virtualization and Software Defined Networks (NFV-SDN), Dresden, Germany, 2023,pp. 153-158, doi: 10.1109/NFV-SDN59219.2023.10329617.[6] J. Abhishek Singh, M. R. Sachin Kumar and K. S. Shushrutha, "Implementation of
career • My parents would like it if I choose a science career. • (No question assessed whether parents would like the participants to choose a career that uses technology) • My parents would like it if I choose an engineering career. • My parents would like it if I choose a mathematics career.4. Desire among participants to select a career • I am interested in careers that use science. • I am interested in careers that use technology. • I am interested in careers that involve engineering. • I am interested in careers that use mathematics.5. Whether their friends like science • My friends like science.The average participant score for each statement (with respect to each separate field of STEM) isgiven in Table 5
” during lab sessions to help pique student interest in not only what they aredoing now (as procedural labs can often feel boring), but also to excite them for what theirtraining makes possible.With a large team, consistent grading can also present a challenge. It is recommended that youprovide example student submissions (“good, bad, and ugly”) that are scored by a “mastergrader” to demonstrate strong, formative feedback. These can be an excellent tool for studentsand TAs alike to learn how a grading rubric is to be applied to an assignment. To improve thefeedback mechanism, tools provided by Canvas or Gradescope, for example, allow for TAs togenerate and reuse feedback while grading assessments. Anyone who has been responsible forgrading
program? Before diving intoo deeply, it is important to step back and think about alternatives, and what is most appropriategiven the scope of the program.While there could be many approaches, let’s consider two basic approaches to justifying anundergraduate research program: the first is to spend nine months creating a theoretical basis,and the second is to run a pilot and assess the results. • For the first approach, we will assume two people each spend 25% of their time doing research, meeting with stakeholders, and surveying students and faculty. If each person makes $100k per year and works on this project for 9 months, this amounts to a cost of $37,500 for the first approach. • For the second approach, someone
[4], [6], [8], [9], [10], [12],[13]. The concept of intuition in the workplace has been established in business management,nursing, and recently engineering [10], [12], [14], [15], [16]. Due to intuition’s relatively newemergence in the literature, research thus far has focused on qualitatively describing perceptionsof intuition, how it is used, and how it may be developed. Previous work specific to engineeringdefines engineering intuition as “subconsciously leveraging experience to assess a situationand/or predict a future outcome” and situates its usage in the problem solving process as a toolused by experts when the problems they are tasked to solve face constraints [10]. Further work inthe domain of engineering suggests hands-on
identified the importance of developingexpectations and guidelines that align with diversity, equity, and inclusion (DEI) best practices,along with a willingness to commit to continuous assessment and change, as being central tocreation of a positive maker culture [14]. In prior work, the authors pointed to the importance ofa simplified work environment and welcoming atmosphere to the development of an inclusivemakerspace environment [15].When students engage in learning opportunities in a makerspace, it has the potential to positivelyimpact their educational experience and academic success. The term student engagement refersto the extent to which students invest, value, and participate in their educational experience in ameaningful way [16] [17
, race,gender, class year, and transfer status. The next section of the survey included a validatedself-efficacy instrument for engineering students. There are 30 of these questions and theycorrespond to a self-efficacy instrument designed by The Assessing Women and Men inEngineering Project (AWE) in partnership with the Society of Women Engineers [20]. Questionsrevolve around a student’s academic confidence level, the grades they have received, and theirfeelings of social inclusion. The answers for the questions use a Likert scale with an extra optionfor “Don’t Know”. The survey was scored on a scale of 0-6. A score of 0 indicates all "StronglyDisagree", and a score of 6 indicates all "Strongly Agree". The final section of the survey
demographic information, such as gender, race/ethnicity, and grade level, andquestions related to the constructs: science interest, science anxiety, mathematics interest,mathematics anxiety, and problem-solving and inventing. Students completed a pre-survey at thebeginning of their five-day Camp Invention summer program, prior to any instructional lessons.Subsequently, on the program’s final day, a post-survey was administered. Each survey tookapproximately 15 minutes to complete. The instrument comprised of 27 Likert-type questionswhere students were asked to express their level of agreement. The response options range from“Strongly Disagree” (1) to “Strongly Agree” (4). Cronbach’s alpha is a measure assessing theinternal consistency of a construct
by measuring variables before and after an intervention (e.g., assessing project outcomesbefore and after the implementation of AI tools). These designs can help provide strongerevidence for the impact of AI usage on project management outcomes, beyond the correlationalfindings of the current study. Additionally, conducting longitudinal studies could provideinsights into how the usage of AI in project management evolves over time, offering a dynamicperspective on the adoption and impact of AI technologies. Future inquiry could also divedeeper into specific AI applications in project management, such as machine learning for riskassessment or natural language processing for team communication, providing a more granularunderstanding of their
].MetricsMetrics are used initially introduced at the start of each program, during the application process,and continue throughout the camp to track the math/science maturation of the students. A pre-survey is administered to the students within their application. GEMS utilizes daily and finalprogram surveys to assess the effectiveness of the program which are discussed further insubsection Results from Student Surveys.Students’ progression “The curriculum of Coding Academy is based upon concepts that build upon each other giving the students the tools they need to write working code for their research. Regardless of the student's level of coding knowledge, each student can learn new skills and/or refresh their skills. The
training and practice of Ph.D. candidates who wish to pursue careers in academia (3) to assess its progress both internally and externally to assist the transfer students best and improve the program The ACE Fellows program provides Ph.D. students looking to have a career in academia,and who would like to build their teaching skills, the opportunity to become the instructor ofrecord for a course at Clemson University and to teach, or co-teach, an engineering course at apartnered technical college. Applications were accepted from any upper level PhD studentstudying either engineering or computing. Students who apply for the ACE Fellows programundergo an interview process during which they must provide a
, Capella University).21. Wang, Y., Cao, Y., Gong, S., Wang, Z., Li, N., & Ai, L. (2022). Interaction and learning engagement in online learning: The mediating roles of online learning self-efficacy and academic emotions. Learning and Individual Differences, 94, 102128.22. Miao, J., & Ma, L. (2022). Students’ online interaction, self-regulation, and learning engagement in higher education: The importance of social presence to online learning. Frontiers in Psychology, 13, 815220.23. Sher, A. (2009). Assessing the relationship of student-instructor and student-student interaction to student learning and satisfaction in web-based online learning environment. Journal of Interactive Online Learning, 8(2).24
. Thissentiment points to a need for a cultural change in engineering education and workplaces, tobring public welfare and ethical considerations front and center.Specifically, within engineering education programs, there is a clear need to integrate ethics andpublic welfare considerations into the curriculum [9], [20], [21], [22]. This should include notonly theoretical discussions about ethics but practical case studies and real-life scenarios thatengineers may encounter in their professional lives. Additionally, departments should emphasizedevelopment of professional skills like communication, teamwork, and ethical decision-makingin their curricular assessments [13], [23], [24]. Most importantly, academic institutions need tofoster a culture where
concepts to interpersonal networks [6], allowing researchers to explore howinterpersonal connections form, evolve, and relate to outcomes of interest. Recognizing theintersection of interpersonal network importance, and the ability of SNA to study these networks,engineering education researchers have increasingly adopted SNA to identify and promotepositive interpersonal networks in engineering education.Throughout the relevant literature, engineering education research applying SNA to theundergraduate student context has demonstrated the importance of interpersonal connections forstudents’ academic performance and affective outcomes [7]-[10]. These studies not onlyquantitatively assess the importance of connections between individuals, but also
important for the medical degree,” Revista Clínica Española (English Edition), vol. 217, no. 6, pp. 332–335, Aug. 2017, doi: 10.1016/j.rceng.2017.03.002.[20] S. A. Batt-Rawden, M. S. Chisolm, B. Anton, and T. E. Flickinger, “Teaching Empathy to Medical Students: An Updated, Systematic Review,” Academic Medicine, vol. 88, no. 8, p. 1171, Aug. 2013, doi: 10.1097/ACM.0b013e318299f3e3.[21] Y. C. Zhou et al., “A systematic scoping review of approaches to teaching and assessing empathy in medicine,” BMC Medical Education, vol. 21, no. 1, p. 292, May 2021, doi: 10.1186/s12909-021-02697-6.[22] M. L. Manolakis, J. L. Olin, P. L. Thornton, C. R. Dolder, and C. Hanrahan, “A Module on Death and Dying to Develop Empathy in Student
associate professor and chair in the Department of Computer Science and Information Technology at the University of the District of Columbia. She joined UDC in May 2012 after receiving her Ph.D. in Computer Science from The URui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College & State University (GCSU). She teaches graduate courses in numerous areas, including math pedagogy, assessment, educational research, and learner development. She holds two Ph.D. degrees, in Curriculum and Instruction from Texas A&M University (2007) and in Mathematics Education from the University of Georgia (2022). Her scholarship focuses on mathematics teaching and learning, STEM education, and teacher
established and regular checkpoints are set, thelearning coach sessions can be tailored to match students' needs to truly support them in thesituations they encounter as student engineers (Facilitator 2). These sessions need to adapt to“each student’s learning style and personality” (Facilitator 3, para. 1). Initial assessment as alearning coach is needed of students’ abilities and needs in different areas of their lives, such astime management, communication, academic progress, career development (e.g., interviewingtechniques, resumes, cover letters, etc.), open-ended problem-solving, job etiquette, personal lifematters, and more (Facilitators 1-5). Once a baseline is determined for these needs and abilities,learning coaches are able to work