implementinginclusive design of spaces including the following recommended spaces: improve physicalaccess beyond federal, state, and local requirements, provide amenities like quiet, wellness, ormeditation room(s), all-gender and/or family restrooms, exterior green space, public restrooms,public education areas, publicly-available event space, indoor weather shelters, fitness spaceswith accessible and inclusive activities and equipment, and spaces that encourage frequent,casual social interaction to reduce probability of social isolation [29]. Inclusive Spaces and Cultures in EngineeringPromoting inclusive cultures within engineering environments is of critical importance tosociety, especially considering that these professionals play a key role in
tracing, and imitation learning [2-3], [8], [12], [16]. There are a varietyof other algorithms, however, these are the ones that are mainly incorporated in the reviewedarticles. Through the literature search, it was evident that reinforcement learning (RL) is the mostwidely used algorithm, consistently picked due to its high versatility and adaptability compared toother algorithms.RL is often preferred as it has a unique ability, allowing the AI agent to ‘communicate’ with itsenvironment, opening more gateways for development in programs, especially in gamedevelopment [11], [15], [18]. In this method, there are two main components, the agent and theenvironment. The environment reveals itself and its current data in the form of the state, S; and
Copyright ã 2002, American Society for Engineering Education”[3] Halloun, I. A. & Hestenes, D. “The initial knowledge state of college students.” American Journal of Physics,vol. 53, n. 11, 1985, pp. 1043-1055.[4] McCloskey, M., Caramazza, A., & Green, B. “Curvilinear motion in the absence of external forces: Naïve beliefsabout the motion of objects.” Science, v. 210, 1980, pp.1139 - 1141.[5] McDermott, L. C. “Research on conceptual understanding in mechanics.” Physics Today, vol. 37, 1984, pp. 24 -32.[6] McDermott, L. C. “A view from physics”. In M. Gardner, J. Greeno, F. Reif, A. H. S choenfeld, A. DiSessa, andE. Stage (Eds.), Toward a Scientific Practice of Science Education. pp. 3 -30. Hillsdale, NJ: Lawrence ErlbaumAssociates.[7] Al
night with underground concertperformances, which provided him with an opportunity to experience the local culture moredeeply.Student 2’s work in the lab required him to collaborate with various individuals, each contributingdifferently to his research and publication efforts. This kind of collaboration was essential forglobal competence, as it involved communicating and working effectively with people fromdiverse backgrounds. His interaction with the Principal Investigator (PI) and another researchexpert for publication guidance indicated his involvement in advanced research activities and thecommunication skills required to navigate these professional relationships.Student 2’s experience encapsulated several dimensions of global competence
of female Middle Eastern engineeringstudents, especially those who are Iranian. In this project, the student aims to explore women'scareer and academic challenges as well as their process of engineering identity formation. Thiswork is expected to offer recommendations for the creation of successful policies and programs toimprove the conditions of Middle Eastern women. These policies can support their success in theengineering field.Reference[1] S. J. Ceci, D. K. Ginther, S. Kahn, and W. M. Williams, “Women in Academic Science: A Changing Landscape,” Psychol Sci Public Interest, vol. 15, no. 3, pp. 75–141, Dec. 2014, doi: 10.1177/1529100614541236.[2] O. Bataineh, A. Qablan, S. Belbase, R. Takriti, and H. Tairab, “Gender Disparity in
: Accelerating female talent in science, engineering, and Technology. Center for Talent Innovation, 2014. [Online]. http://www.talentinnovation.org/publication.cfm?publication=1420 [3] J. Williams, S. Li, R. Rincon, and P. Finn, “Climate Control: Gender and Racial Bias in Engineering?,” SSRN Electronic Journal, 2016, doi: 10.2139/ssrn.4014946. [4] R. Yonemura and D. Wilson, “Exploring Barriers in the Engineering Workplace: Hostile, Unsupportive, and Otherwise Chilly Conditions,” in ASEE Annual Conference & Exposition Proceedings, New Orleans, Louisiana, Jun. 26-29, 2016, doi: 10.18260/p.26843. [5] E. L. Deci and R. M. Ryan, “Autonomy and Need Satisfaction in Close Relationships
Skills of Commencing Undergraduate and Postgraduate Information Studies Students at Curtin University,” Australian Academic & Research Libraries, vol. 42, no. 2, pp. 121–135, Jun. 2011, doi: 10.1080/00048623.2011.10722218.[2] L. N. Lalwani, J. M. Niehof, and P. F. Grochowski, “Engineering Graduate Student Information Literacy: Are We Meeting the Need?,” in ASEE Annual Conference & Exposition Proceedings, ASEE Conferences, 2018. doi: 10.18260/1-2--30141.[3] L. Saunders, J. Severyn, S. Freundlich, V. Piroli, and J. Shaw-Munderback, “Assessing Graduate Level Information Literacy Instruction With Critical Incident Questionnaires,” Journal of Academic Librarianship, vol. 42, no. 6, pp. 655–663, Nov
understand who girlsselected as role models and how they perceived their OEs. Therefore, we began by asking girlsabout role models in a general sense. Specifically, we asked them “Do you have a role model?”,and if so, we asked them to identify their role model(s) and to explain why they chose thatperson (or people) as a role model (or role models). We then shifted our questioning to focusmore specifically on perceptions of the OEs by asking girls, “Would any of your OEs be a rolemodel for you?” We followed this up the next semester by asking, “Could any of your OEs be arole model for you?” Next, we directly asked girls, “Are any of your OEs a role model for you?”and asked them to explain why or why not. Because we were not convinced that girls
the virtue(s) in the context of the course or specific course activities. The degreeof exposure for each virtue and in each course varied. It is beyond the scope of this paper todescribe in detail the modules of each course. Relevant publications are cited for the modulesthat have been published [37] – [40]. Please note that the terms character virtues and characterstrengths are used interchangeably in this paper.Table 2: WFU Engineering Required Courses and targeted character virtues/strengths.Course Name Virtues TargetedEGR 111 - Intro to Engineering Design Overview of virtuesEGR 112 – Intro to Engineering TeamworkExperimentationEGR 211 – Materials and Mechanics N/AEGR
]. Given the critical role of the adviser in a student's academic journeyand the potential consequences of inadequate academic progress for international students, it iscrucial to recognize the unique challenges faced by international students and provide themwith appropriate support.To provide international doctoral students with positive advising experiences, it is essential forSTEM faculty to possess intercultural communication competence (ICC). In this article, weadopt Griffith et al.'s definition of ICC, which refers to an individual's ability to gather,interpret, and effectively respond to culturally diverse cues in a multicultural environment [14].Prior literature demonstrated that international students face particular challenges, such
itself more just and diverse.Additionally, the integration of social and technical aspects of engineering creates a shift towardsmaking engineering more interdisciplinary through the consideration of societal, cultural,historical, political, economic, and environmental implications of design. Engineering alonecannot solve large sociotechnical problems but can contribute towards solutions [8], [31].Similarly, the integration of social and technical aspects of engineering may lead to a shifttowards a more justice-oriented mindset of what it means to be an engineer. Namely, engineeringis not just about solving problems of efficiency for profit but is about solving problems forpeople in ways that bring about equity and improve quality of life.[1] S
of their favoritelaboratory and the reason(s) for their decision (Appendix 2, Question B2). Specifically, learnerswere asked if the following characteristics apply to their feelings on their favorite materials labexperience and what made an activity stand out, where an “Other” answer was provided as anoption for learners to add an additional typed-out answer not otherwise listed. The specific questionprompts are numbered as follows, referenced in the horizontal axis of Figure 7: 1. The activities were fun 2. Your attention was kept for the duration of the lab 3. The session was interactive 4. You were able to learn new engineering concepts in the labs 5. You were able to retain knowledge that was taught in the lab 6. You had a
capabilities dimension, a scientifically literate person ought to have arange of hands-on skills; be able to pose and evaluate arguments based on evidence and to drawand apply conclusions from such arguments appropriately [e.g., 42]; be able to describe, explainand predict natural phenomena. In terms of cognition and habits of mind and decision making, ascientifically literate individual would be expected to ask questions, manifest inquisitiveness, beopen-minded, value the scientific approach to inquiry, and maintain a commitment to itsevidence [e.g., 16].Technology LiteracyThe term “technological literacy”, emerged in the early 1970’s, conveyed the embodiment ofknowledge and skills needed to function in a society dominated by technological
rate (percentage of total students receiving a gradeof D or F or withdrawing from a course), particularly in foundational courses typically taken inthe students’ first two years of the program. Table 1 summarizes the results for both Statics andDynamics.Following the completion of Statics and Dynamics, most students go on to successfully completethe Bachelor of Science degree requirements for the engineering program(s). Therefore, it isimperative for the continued success of the program(s) to increase retention amongst studentstaking these courses, forming the impetus for the proposed changes documented within thispaper.Table 1: DFW Rates for Engineering Mechanics Courses at Angelo State University
appear opposing one another, these attributes are mutuallysupportive. Social contexts and communication styles which are autonomy-supportive, versuscontrolling styles, are key for well-being. In turn, positive well-being increases learning,socialization, and prosocial behaviors [2].SDT metrics continue to evolve. The Center for Self- Determination Theory website includesseveral psychological needs satisfaction scales which are tailored for specific contexts such aslearning and sports [9]. Johnson and Finney have laid the foundation for development work on abasic needs satisfaction scale. Johnson and Finney caution against inappropriate application andlimitations of versions including the Basic Needs Satisfaction in General Scale (BNSG-S
entries can include something you found interesting, surprising, or challenging. • Describe something valuable you learned, such as a skill you developed this week through both the cohort programming and your individual project. • Describe what you learned this week specifically about engineering education research and from what person and/or activity? • What have you learned about yourself this week from participating in the REU? Please link each learning outcome you describe to the person(s) and/or activities that helped you learn each. • How have your activities this week helped you address your research question? • Write any questions you have or ideas you want to explore further.” • Has
, no. 2, pp. 1-22, 2016.[8] S. M. Fiore, “Interdisciplinarity as teamwork: How the science of teams can inform team science,” Small Group Research, vol. 39, no. 3, pp. 251-277, 2008.[9] L. R. Lattuca, D. B. Knight, H. K. Ro, and B. J. Novoselich, “Supporting the development of engineers’ interdisciplinary competence,” Journal of Engineering Education, vol. 106, no. 1, pp. 71-97, 2017.[10] S. Haase, H. L. Chen, S. Sheppard, A. Kolmos, and N. Mejlgaard, “What does it take to become a good engineer? Identifying cross-national engineering student profiles according to perceived importance of skills,” International Journal of Engineering Education, vol. 29, no. 3, pp. 698-713, 2013.[11] R. Barnett, The Limits of Competence
user of English3.1 Articulate effective linguistic choices to each otherThe C-BLI approach posits that for learners to internalize (i.e., they can use the newknowledge on their own) a scientific concept, it is important to have them verbalize in class.Through an instructor’s mediation, learners should explain communicatively theirunderstanding of the concept(s) they are learning to each other. In this spirit, the last tutoringsession was devoted to individual presentations of their understanding and reflection of thefour linguistic concepts and corpus techniques. It was found that every participant wascapable of applying the linguistic concepts to their own writing (see Table 4). While Vihaanand Shyla chose to apply all four linguistic
process, including why articleswere excluded [18]. This is presented in Figure 1.3.1 Step 1: Framing the questions for reviewUsing Khan et al.’s steps, we created a free-form question based on the goals for this study,resulting in What does existing literature indicate as promising practices when integrating CSinto other subjects?We formed structured questions from the free-form question, breaking them apart into Khanet al.’s categories. This included the following: • Population: K-5 students • Interventions or exposures: Integrated CSMabie, McGill, Huerta ASEE 2023 Identification
engineering-related outcomes to familyvalues of facilitating, teaching, and acting as a peer for children.21 Teachers can act as similarrole models for their students by regularly introducing new topics and helping students to explorethe ones that interest them. Even if the entire class is not interested in pursuing a career in STEMfields, they can still be interested in and find enjoyment in related activities. This can be seen inBonnet de León et al.’s cutting plotter project 6 observed in Spanish secondary schools. Theprojects used low-cost laser paper cutters and plotting software to teach students about vectors in 14
transition to amore stable, efficient, and reliable solution to hardware access. Accordingly, a remote labbecame an appealing approach.Remote laboratories evolved since the early 90’s and they have continued to gain attention ineducation research since that time [4]. There have been numerous definitions of remote labenvironments in the literature where the terms “remote lab” and “virtual lab” are often usedsynonymously [5, 6]. However, it is important to establish a clear distinction between the twoterms. Virtual laboratories are simulated, non-physical environments that model a real-life labwith a computer-based application. Conversely, remote laboratories give the user the ability toaccess and control physical equipment from distant locations
might not account for structural nuances intransfer student pathways.Figure 1. Example calculation of course cruciality using the blocking factor and delay factorTo provide grounding for what kind of values to expect from structural complexity, Table 1presents a series of examples that increase in interconnectedness. Empirical values of curricularcomplexity for four-year programs from 63 schools ranged between ~50 and ~500 with anaverage of 273.6 in Heileman et al.’s program quality study [3]. Within institution variation isalso notable; the range was 191-618 in a study by Grote et al. at Virginia Tech [6]. Note that themetric depends on the number of courses in the plan of study, so comparisons using the rawmeasure between plans of study with
opportunity to integrate evidence-based education practices into the lab portion of the coursethat aimed to aid in students’ learning of technical writing practices. Table 1 compares Autumn2019’s lab schedule and associated technical writing post-lab assignments with Autumn 2020’slab schedule and associated technical writing post-lab assignments.Table 1: Autumn 2019’s lab & assignment schedule compared to Autumn 2020. Post-labs with technical writingfocus that are part of the complete quantitative analysis for this paper are denoted with blue text. Post-lab Full LabReports used for comparisons through t-tests are denoted with red **. Week Autumn 2019 Autumn 2020 Lab
M.C. Richey, “The wisdom of winter is madness in May,” Journal of Engineering Education, vol. 108, no. 2, pp. 156-160, 2019.[3] R.A. Cheville, “Board # 22 : Ecosystems as Analogies for Engineering Education,” in ASEE Annual Conference & Exposition, 2017.[4] W. Lee, “Pipelines, pathways, and ecosystems: An argument for participation paradigms,” Journal of Engineering Education, vol. 108, no. 1, pp. 8-12, 2019.[5] S. Lord, M. Ohland, R.A. Layton, and M. Camacho, “Beyond pipeline and pathways: Ecosystem metrics,” Journal of Engineering Education, vol. 108, no. 1, pp. 32-56, 2019.[6] L. Vanasupa and L. Schlemer, “Transcending Industrial Era Paradigms: Exploring Together the Meaning of Academic Leadership for Diversity