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
notes, emails, and medicaldocumentation to create my autoethnography [28], [32]. After building the phenomenology andautoethnography, I triangulated the results. Triangulation is the use of multiple sources ofinformation to build a coherent justification of themes based on convergence [27]. Using amixed-method approach with Harvey’s process allowed me to use two strategies to check thequalitative validity of the results. Qualitative validity refers to the consistency of the researcher’sapproach across data sources, methodologies, and projects [27].Results and discussionOnce I completed the data collection and analysis portion of the broader study, I met with twocontributors. Both contributors were previously authorized by the University of
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
bachelor’s degree at Rowan University in New Jersey before attending graduate school for her PhD at the University of Massachusetts in Amherst, MA. Her research interests in- clude engineering communication, process safety, and undergraduate student mental health. Recently, she was awarded an NSF RIEF grant to student mental health-related help-seeking in undergraduate engineer- ing students. She is completing this project in collaboration with faculty members from educational and counseling psychology. With this work, they aim to better understand the help-seeking beliefs of under- graduate engineering students and develop interventions to improve mental health-related help-seeking. Other research interests include
organized concept maps.Assessment Administration Time and Details Provided. Lavi et al.’s [23] assessment had oneof longest administration times with teams submitting their first version of their concept modelsmid-semester and a second version at the end of a semester. With more time, came more levelsof detail as the first conceptual model had to have at least three levels of detail and the secondmodel had to have four or five levels of detail (see “complexity levels” in “Identifying IndividualElements” above). Rehmann et al.’s [27] assessment took place over seven weeks, or half of onesemester, with instructors providing feedback to students on one part of their projects each week.With more time, came more details about a system. In the case of
team hasconducted a research project that provides the environment and its accompanying diverseresources to different universities in North America and South America. In Spring 2016, Prime(pseudonym) University decided to use Freeform for an undergraduate dynamics course.The goal of this study was to examine how students perceived the Freeform learningenvironment at Prime University, whose school context differs from that of Purdue University.Much research has focused on estimating the quantitative impact of educational interventions(especially curricular) on student learning outcomes. However, previous research has paid lessattention to how students perceive the potential affordances of the learning environmentassociated with an intervention
different groups. Such training could promote understandingand cooperation between individuals from different national and cultural groups, contributing tothe success of international engineering projects and technological work.Since this study was exploratory in nature, it suffers from numerous shortcomings that will beaddressed in future work. The sample used in this study was relatively homogenous and notentirely representative. Going forward, future research will use different, more diverse studentsamples.References[1] C. E. Harris, M. Pritchard, M. Rabins, R. James, and E. Englehardt, Engineering Ethics: Concepts and Cases, 6th ed. Cengage Learning, 2018.[2] M. Martin and R. Schinzinger, Introduction to Engineering Ethics, 2nd ed. New
Paper ID #34399Impact of Course Modality on Student Course EvaluationsDr. Matthew Aldeman, Illinois State University Matt Aldeman is an Assistant Professor of Technology at Illinois State University, where he teaches in the Renewable Energy and Engineering Technology programs. Matt joined the Technology department faculty after working at the Illinois State University Center for Renewable Energy for over five years. Previously, he worked at General Electric as a wind site manager at the Grand Ridge and Rail Splitter wind projects. Matt’s experience also includes service in the U.S. Navy as a nuclear propulsion
. Melissa Danforth, California State University, Bakersfield American c Society for Engineering Education, 2021 Paper ID #33690Melissa Danforth is a Professor of the Department of Computer and Electrical Engineering and ComputerScience at California State University, Bakersfield (CSUB). Dr. Danforth was the PI for a NSF FederalCyber Service grant (NSF-DUE1241636) to create models for information assurance education and out-reach. Dr. Danforth was the Project Director for a U.S. Department of Education grant (P031S100081) tocreate engineering pathways for students in the CSUB service area
engineering (CE), are projected to rise more than 10 percentbetween 2019 to 2029 [3]. Additionally, as vacancies increase, so too does the need for studentswith graduate degrees (master’s and doctoral level) in the field [4]. However, in the United States(U.S.) participation in graduate schools is more commonly from international students. Accordingto the survey by the Computing Research Association in 2019, almost 70% of the master’s degreesin computer sciences and 80% in engineering were awarded to international students [5].Meanwhile, 62% of the Ph.D.’s in computer sciences were awarded to international students,followed by 67% in engineering [5]. Yet, participation of domestic students pursuing graduatedegrees in computing is less than 30% in the
indicated through the analysis of time entries (sleeping, exercising, class/studying,socializing) were coded either by valuation of change (negative, positive, neutral) or change induration (more, less, neutral). For these coding items, a single rater completed initial coding ofall entries, and the second rater acted as reviewer, revising codes for clarity and consistency asneeded.Emergent Themes In addition to the structured coding items, each rater independently identified a second setof emergent codes, indicating themes not previously identified in either prior research or thediary entries. The independently derived themes were discussed with the project team andmerged into a second set of four thematic codes: social responsibility
and professional development contexts. She currently serves as principal investigator on three National Science Founda- tion (NSF) research projects. One study (NSF #1621344) is designed to develop, pilot, and validate a set of performance-based tasks delivered within a simulated classroom environment in order to improve pre-service elementary teachers’ ability to facilitate goal-oriented discussions in science and mathemat- ics. The purpose of the second study (NSF #1813254) is to examine and gather initial validity evidence for assessments designed to measure and build K-5th grade science teachers’ CKT about matter and its interactions in teacher education settings. The third grant (NSF #1813476) is focused on
Harvard University. One of his major research interests has been the impact of gender on science careers. This research has resulted in two books (both authored with the assistance of Gerald Holton): Who Succeeds in Science? The Gender Dimension and Gender Differences in Science Careers: The Project Access Study. American c Society for Engineering Education, 2021 Understanding How Social Agents and Communicative Messages Influence Female Students’ Engineering Career Interest from High School to First Semester of CollegeAbstractMany researchers have investigated how to increase female and minority students’ engineeringcareer
research project to evaluate connections between various forms ofsupport (from faculty, TAs, and peers) and multiple forms of course-level engagement (attention,participation, effort, positive and negative emotional engagement) both in traditional and remotelearning. This study focuses on comparing student perceptions of faculty and TA support acrosstraditional (pre-COVID) and remote learning as necessitated by the COVID-19 pandemic. Tworesearch questions guided this comparison.Research Question #1 (RQ1):Do student perceptions of faculty and TA support differ in traditional vs. remote learning?On traditional college campuses, faculty support their students both directly and indirectly duringclass time (e.g. lecture, in-class discussion) and
Research enthusiasm or or commitment to evaluation, expression of or commitment commitment clearly research, potential for CV, research articulated through articulated through future research personal enthusiasm or demonstration of demonstration of research statement commitment interest experience beyond senior project or capstone (research experiences can