resources available for instruction and assessment of these topics contributes to thechallenges in addressing these outcomes. Safety, teamwork, and communication have becomemore of a focus in the ChE laboratories in recent years, and thus the resources to teach and assessthem have emerged. A similar effort to develop projects and materials that focus on topics thatare harder to assess may be required if they will be prioritized as important learning outcomes forthe ChE laboratory courses.Only 8 of the 73 faculty respondents provided an answer to the last survey question, addressingChE lab course objectives not covered in the list provided. Only two of the answers were unique,addressing outcomes not covered in the list. This indicates that from the
Engineering Network (KEEN) activities [38], VentureWell [39], NSF I-Corps [40], and the celebration and glorification of capitalists such as Bill Gates and Elon Musk. Saviorism in the Global South frequently manifests as white saviorism, as exemplified by the work of Engineers Without Borders [41], missionary work, and many university service-learning projects. SE recognizes that there are no saviors. We each bring value to the community as we act together in kinship for transformational change.Critique of Mainstream Approaches to Systemic ChangeThere are several existing models aimed at addressing inequalities in the field, but they typicallyfail to address the neoliberal roots in which the structure and culture of engineering
and is responsible for designing, directing, and executing culturally responsive research and evaluation projects. She manages a portfolio of multi-year, mixed methods studies focused on improving educational and career opportunities, with a focus on historically underserved groups.Dr. Mark A Weiss, Florida International University Mark Allen Weiss is an Eminent Scholar Chaired Professor, Associate Dean for Undergraduate Education in the College of Engineering and Computing, and Associate Director in the School of Computing and Information Sciences at Florida International University (FIU) in Miami Florida. He joined FIU after receiving his Ph.D. in Computer Science from Princeton University in 1987. His interests
their tools for the digital design study.REFERENCES[1] R. Dou, Z. Hazari, K. Dabney, G. Sonnert, and P. Sadler, “Early informal STEM experiences and STEM identity: The importance of talking science,” Sci. Educ., vol. 103, no. 3, pp. 623–637, May 2019, doi: 10.1002/sce.21499.[2] R. A. Wicklund and P. M. Gollwitzer, Symbolic Self-completion. New Jersey: Lawrence Erlbaum Associates, Inc., 1982.[3] N. Cross and N. Roozenburg, “Modelling the design process in engineering and in architecture,” J. Eng. Des., vol. 3, no. 4, pp. 325–337, Jan. 1992, doi: 10.1080/09544829208914765.[4] M. Lehmann, P. Christensen, X. Du, and M. Thrane, “Problem-oriented and project-based learning (POPBL) as an innovative learning strategy
cultural home by somemore than others.Furthermore, engineering culture can be a cultural home, and more for some than others. Disciplinary andeducational cultures are enacted in shared physical and social spaces, but those same spaces areexperienced differentially by some as inclusive and by others as exclusive or marginalizing. Identity andintersectionality play a significant role in that differentiation of engineering culture. This paper considersthe interplays of engineering culture, identity (as culture), and intersectionality as creating or disrupting asense of cultural home.3. Methodology3.1 Data collectionData for this study comes from a larger project, Audio for Inlcusion [13], that focuses on exploringstudents’ experience of
looking at how mastery learning shifts instructors’ beliefs about teaching practices and assessments.Sharona Krinsky, California State University, Los Angeles Sharona Krinsky is an instructor and course coordinator in the Mathematics department at California State University, Los Angeles and the co-PI of the NSF funded project ”Commitment to Learning Instilled by a Mastery-Based Undergraduate Program (CLIMB-UP). She works with faculty on redesigning courses to utilize the principles of mastery-based grading in order to enhance student success and enable increased equity, inclusion, and access to careers in STEM fields for students from historically underrepresented groups. Sharona is a founding organizer of ”The
significant barrier to belonging, and yetschool climate nor current or historical patterns of exclusion are incorporated into college andcareer choice models as depicted in the academic literature.Purpose of the StudyThe purpose of this rapid review is to conduct an investigation of the academic literature onexisting initiatives and models for attracting Black high school students to undergraduateengineering programs, which may also be referred to as “broadening participation” inengineering. This work is part of a larger project to understand the lived experiences of Blackhigh school students during the engineering admissions process and how those experiences alignwith the programs, practices and systems that are enacted within higher education today
leastI've seen or talked to in any way. And I think that's kind of always a constant thing,getting an effect of more people looking at me or a kid who's never met a Black persongets put in a group with me in an engineering project and doesn't know, like he thinks I'ma different species or something. I have never felt any malicious intent towards me at thisinstitution purely because I am Black, but I have had experiences where I’ve had to dealwith ignorance from my white peers. And I know that it happened just because they havenever met a Black person before. So there's always this feeling that just knowing that theway I've maybe talked to someone in my family, I can't talk to a peer about like acomplex engineering process. I can't necessarily just
disclose any of thesetraits to the school nor did she seek accommodations as she perceived accommodations would not behelpful for her and were reserved for students with greater needs than hers. As a result of herparticipation in this research project, Esperanza later sought a diagnosis for what she suspected wasneurodivergence in the form of autism. Esperanza identifies as a first-generation student despite herparents having attended college for the performing arts. Her parents were children of immigrants fromEurope and the Caribbean and as minority and first-generation students, they received an abundance ofguidance and assistance through their college experiences and did not come away fully understandingthe higher education systems and
faculty found their jobs interesting andconsistent with their own passions and under their own control for how they selected andexecuted their job duties. Table 5 summarizes the perspectives on workplace autonomy sharedby faculty. Study participants spoke to autonomy needs being satisfied or frustrated along threemajor subthemes: freedom to express themselves and to pursue interesting work, sufficientresources to pursue their interests, and absence of extreme work stress.Need for freedomFaculty expressed autonomy need satisfaction when they felt the freedom to choose theparticular projects or tasks on which they worked. They appreciated being allowed to establishtheir own approach to courses they taught: It’s actually been pretty beneficial
. Enmei thought about reporting her, but she had heard that Chinese students were often blamed for dragging down scores of group projects with domestic students, so she decided not to do it. Adapted from [38] b. Relationship of case to the literature • She has many questions about how to be ready for this new experience.Our literature review (Section 2) highlights that international students do not have enoughfamiliarity with the US educational system, but they are described as willing to learn andhardworking (see Section 2 for more details). • She wanted to make US friends, yet she had a bad experience. So now, she is focused on
human-in-the-loop approaches to more complex, multi-topic analysis of open-ended responses from students and teachers prompted their use in this study. Like many otherstudies, our work relies on thematic analysis to facilitate effective use of NLP in the processingof qualitative, text-based feedback from students. Unlike many previous studies, however, weapply NLP at a broader scope. Instead of asking students to reflect retroactively on theirexperiences in a particular course, we open the door wider, asking them to identify anything atall a TA could do to better support their learning.MethodsThis study is part of a larger, single-institution research project, which used a survey toinvestigate the connections between different forms of support
periodic retakingGrading Average grading with partial credit; Discrete approval, no Average grading with partial credit; projects weighted < 20% of grade partial credit; tests Activities = 50% of grade constitute 100% of gradeAs a final note before proceeding, in preparing the team aspect of the Studio format, I used (forthe first time) the CATME system (https://catme.org). My primary use was to use the TeamMaker Survey function to create teams that had compatible time schedules outside of class,reasonable range of student ability based on self-reported GPA, and non-isolation ofunderrepresented students. I am still
vignette video: “Names and history are almost non-existent inour engineering courses, and numbers and equations are actually what we deal with….” Thus,the participant focuses on using engineering for new innovations and acknowledges that ahistorical lens is not used in the engineering curriculum at the institution he attends. Participant 65 mentions his experiences with HC. He notes that in his senior design class,the “…instructor specified that the senior project leaders could not be White males. . .which wasprobably the biggest show of racism I have seen on campus.” Additionally, the participantdescribes that his “biggest personal obstacle has been being a father during undergraduate andgraduate work,” and “it can sometimes be frustrating
in an existing system are easily understood as therules are assembled by the system developer. Furthermore, such an approach does not require thelarge training corpus of responses employed in state-of-the-art machine learning approaches tosemantic analysis [12]. Two potential drawbacks of the rule-based approach are that a domainexpert is needed to create the rules that govern the analysis of text, and the rules generated for oneproblem will not necessarily apply to other problems. As the overarching idea of the web-basedwriting exercise project is to create a template that instructors are able to use to construct their ownwriting exercises, these are not considered serious drawbacks. Naturally, as the amount of data inthe form of student
Paper ID #38724Analysis of Learning Assistants’ Beliefs of Status and Their Role asStatus InterventionistsHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and social justice.Dr. Milo Koretsky, Tufts University Milo Koretsky is
Paper ID #38909Motivation and Evidence for Screen Reader Accessible Website as anEffective and Inclusive Delivery Method for Course Content in HigherEducationDr. Vijesh J. Bhute, Imperial College London Dr. Vijesh Bhute currently leads 1st and 2nd year modules on Mathematics in the Chemical Engineering Department at Imperial College London. He leverages technology to enhance delivery of abstract con- cepts and also uses math-aware assessment platforms to improve student learning. He collaborates with students on various projects and has also contributed to development of innovative hybrid experiential learning approaches
notrestricted to computing students. While non-computing STEM majors suffer from the same lackof representation, it is important for researchers in computing to understand discipline-specificperceptions and experiences. Finally, the study did not account for other student identitiesoutside of race and gender. This excludes more nuanced analysis of results, based on multipleforms of oppression that students may (not) experience [21]. In addition, the computingcommunity lacks significant data collection efforts related to students with disabilities,highlighting the need to account for this important (and often overlooked) identity [22].This work-in-progress paper is situated within a broader ongoing project that seeks to answertwo research questions
had completed comprehensive safety training experiences were 49% lesslikely to have had an accident occur in their courses [5]. However, of greater concern are thebroader impacts of safety deficiencies modeled for students in P-12 since research suggests thatstudents often implement these safety habits in post-secondary programs and the workplace.Utilizing data from a national safety research project involving 718 P-12 educators from 42states in the U.S. [3], this study examined results from a subsample of 381 educators whospecifically reported teaching pre-engineering or engineering design (PE/ED) focused courses.The goals of this study were to examine how PE/ED courses differed in terms of accidentoccurrences in comparison to other P-12
. AcknowledgementsThe authors would like to thank Dr. Sanjay Rebello, Dr. Carina Rebello and Mr. Amir Bralin fortheir support with the design of the learning materials and the project logistics. This work waspartially funded by the National Science Foundation under Grant No. DUE 2021389. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation. References[1] S. Papert, Mindstorms. Children, computers and powerful ideas. New York, NY: Basic Books, 1980.[2] J. M. Wing, “Computational thinking,” Commun. ACM, vol. 49, no. 3, pp. 33–35, 2006, doi: 10.1145/1118178.1118215.[3] A. Çiftçi and
, FFChopes to create enough fidelity in the systems that, when it puts them all together, the overalleffect will be substantial. With support from the local and state governments, FFC has been able to acquire significantagricultural land to experiment with different technologies and crop varieties to find the best wayto farm autonomously. Established in 2015, FFC took some time to ramp up, as autonomousfarming is a complex undertaking that requires not just the use of automation technology,including devices, platforms, and services, but also associated scientific development forimproving crop health and productivity. Consequently, projects currently underway at the FFCTest Site include soil health monitoring, uncrewed aerial systems, uncrewed
representation. For example, lecture content could be presented in a video or a text file of audio transcription. • Multiple means of expression. For example, students are allowed to demonstrate the course project through written report or oral presentation. • Multiple means of engagement. For example, students can ask questions and share opinions in the classroom or through the online forum.2.3 Active Learning Active Learning is a well-known and widely studied set of educational practices and prin-ciples that suggests students create higher order knowledge and understand more effectivelywhen they engage in learning activities that are beyond passively receiving information[6].Active Learning is supported by
self-efficacy is understood to be driving self-perceptions and eventually performance in those tasks. For instance, self-concept in calculus (i.e., a domain) can be expressed as “I am able to understand and follow along the calculus classes”, and self-efficacy in calculus (i.e., task performance) can be expressed by “I am confident I can score at least a B in the upcoming test”.The above definitions for both constructs are adapted from previous research and validating orverifying them is not within the scope of this project. This study agrees with previous findings[7], [44], [45], [46], that state self-concept is a prime predictor for favorable academic outcomesand well-being as a student. Self-efficacy, although crucial for an individual’s
Machine Learning, he has authored four books (Shale Analytics, Data-Driven Reservoir Modeling, Application of Data-Driven Analytics for the Geological Storage of CO2, Smart Proxy Modeling), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is an SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as a Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE’s Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI-based technical contribution in the aftermath of the Deepwater Horizon
Paper ID #38481Oral Assessments as an Early Intervention StrategyCurt Schurgers, University of California, San Diego Curt Schurgers is an Teaching Professor in the UCSD Electrical and Computer Engineering Department. His research and teaching are focused on course redesign, active learning, and project-based learning.Dr. Saharnaz Baghdadchi, University of California, San Diego Saharnaz Baghdadchi is an Assistant Teaching Professor at UC San Diego. She is interested in scholarly teaching and uses active learning techniques to help students achieve an expert-like level of thinking. She guides students in bridging the gap