Conference Session

Studies of Student Teams and Student Interactions

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Taylor Tucker, University of Illinois at Urbana - Champaign; LuEttaMae Lawrence, Carnegie Mellon University; Emma Mercier

Tagged Divisions

Educational Research and Methods

ofpedagogy.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1628976. Any opinions, findings, conclusions or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] S. Freeman, S. L. Eddy, M. McDonough, M K. Smith, N. Okoroafor, H. Jordt, and M.P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” in Proceedings of the National Academy of Sciences, (111,23), 2014. pp. 8410-8415.[2] D.H. Jonassen, J. Strobel, and C. Lee, “Everyday Problem Solving in Engineering: Lessons for Engineering Educators,” Journal of Engineering Education, vol

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Xinyue (Crystal) Liu, University of Toronto; Yasaman Delaviz, York University; Scott D. Ramsay, University of Toronto

Tagged Divisions

Educational Research and Methods

Learning Work? A Review of the Research", Journal ofEngineering Education, vol. 93, no. 3, pp. 223-231, 2004.[3] S. Freeman et al., "Active learning increases student performance in science, engineering,and mathematics", Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2014. Available: 10.1073/pnas.1319030111.[4] L. D. Feisel and A. J. Rosa, "The Role of the Laboratory in Undergraduate EngineeringEducation, " Journal of Engineering Education, vol. 94, no. 1, pp. 121-130, 2005.[5] R. Krivickas and J. Krivickas, "Laboratory Instruction in Engineering Education", GlobalJournal of Engineering Education, vol. 11, no. 2, pp. 191-196, 2007.[6] J. S. Rolston and E. Cox, "Engineering for the Real World: Diversity

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Max William Blackburn, University of Michigan; Aaron W. Johnson, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Educational Research and Methods

ProtocolThis conceptual model serves as the basis for a standardized classroom observation protocol thatwill be used to characterize instances of formative assessment. A diagram of the observationprotocol is shown in Figure 2. When a researcher using this protocol observes an instance offormative assessment, they first identify the type of formative assessment from among fouroptions: 1) instructor asks student(s) questions, 2), student asks instructor questions, 3) instructortalks with individual student or group, or 4) instructor implements writing-based formativeassessment. Then, the researcher chooses a response for each code (i.e. each colored box inFigure 2) describing the student and instructor behaviors in that type of formative assessment

Conference Session

Modeling and Problem-Solving

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jennifer L. Cole, Northwestern University; Robert A. Linsenmeier, Northwestern University; Esteban Molina, Florida International University; Matthew R. Glucksberg, Northwestern University; Ann F. McKenna, Arizona State University, Polytechnic campus

Tagged Divisions

Educational Research and Methods

sense, measurements, variables and relations, geometric shapes and spatialvisualization, and chance.” The education of future engineers must prepare them to approachsituations with quantitative literacy, at least with the tools in Dossey‟s list, and ideally withhigher level tools including the ability to frame problems in terms of appropriate mathematicalmodels and finding solutions to those models. Modeling can be used in the design process inmany ways: to avoid expensive and time-consuming tests of physical prototypes, to guide therange of physical models that should be tested, to rule out seemingly reasonable designs that aredestined to fail, to avoid overdesign of components, to explore the likely range of performance ofa device, and to

Conference Session

Physics Education Research (PER) Relevant for Engineering Education

Collection

2008 Annual Conference & Exposition

Authors

Mel Sabella, Chicago State University; Stephanie Barr, Chicago State University

Tagged Divisions

Educational Research and Methods

AC 2008-84: IMPLEMENTING RESEARCH–BASED INSTRUCTIONALMATERIALS TO PROMOTE COHERENCE IN PHYSICS KNOWLEDGE FORTHE URBAN STEM STUDENT.Mel Sabella, Chicago State University Mel S. Sabella is an Associate Professor of Physics at Chicago State University (CSU). His interests focus on improving STEM education for underrepresented students. Sabella is the director of an NSF – CCLI project that integrates research-based instructional material in the introductory urban physics classroom. He is also director of the Physics Van Inservice Institute, part of a project supported by the Illinois Board of Higher Education. Sabella earned his PhD. in Physics Education Research from the University of Maryland

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jonathan D. Stolk, Franklin W. Olin College of Engineering; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Michael D. Gross, Wake Forest University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

motivation and positive engagement [11], [28]-[30]. Onthe contrary, controlling teacher behaviors have been shown to lead to negative motivation typesand restricted engagement [31], [32]. Using structural modeling, Fortier et al. (1995) demonstratethe positive influence of perceived competence and self-determination on autonomousmotivations and academic performance [7]. Greene et al. (2004) illustrate linkages betweenautonomy support and self-efficacy, mastery goals, strategy use, and achievement [33]. Walkeret al.’s path model shows that self-efficacy and intrinsic motivation can predict meaningfulcognitive engagement, while extrinsic motivations predict shallow cognitive engagement [8].Although empirical research that directly links different

Conference Session

K-12 and Bridge Experiences in Engineering Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabina Anne Schill, University of Colorado, Boulder; Angela R. Bielefeldt, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

these programsthrough learning how participants in K12 STEM outreach programs define mentoring. Thispaper focuses on one research question from our pilot study: How do university student mentor definitions of “mentoring” compare to those of faculty / staff program coordinators?Theoretical FrameworkTo categorize participants’ definitions of mentoring, the research team utilizes Pfund et al.’s [14]attributes of effective mentoring relationships, which are “supported by the literature andsuggested by theoretical models of academic persistence” [p. S238]. This framework was chosenbecause of the ample existing metrics and examples of measurable learning objectives provided,which can be mapped to experiences participants share in their

Conference Session

Motivation, Goal Orientation, Identity, and Career Aspirations

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ellen Zerbe, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University; Kyeonghun Jwa, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

identities are encouraged and how strongly they are expressed. Separating bygender, the results show the significant difference between men, women, and nonbinaryengineering students and how they consider their gender identity. The average Model for MultipleDimensions of Identity based on school type can help understand students' priorities when decidingto attend a small school.References[1] A. D. Patrick and M. Borrego, “A Review of the Literature Relevant to Engineering Identity,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016, doi: 10.18260/p.26428.[2] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors Relating to Engineering Identity,” Glob. J. Eng. Educ., vol. 14

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Saira Anwar, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette; Ahmed Ashraf Butt, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

' judgment of his or her abilityto perform the task) play a more significant role. These results are novel given that all examsvaried based on content only, and there was no variation in format and difficulty level of theexams.AcknowledgmentWe want to thank Dr. Morgan Hynes for helping us in the data collection process.References[1] S. Y. Chyung, A. J. Moll, and S. A. Berg, "The role of intrinsic goal orientation, self- efficacy, and e-learning practice in engineering education.," J. Eff. Teach., vol. 10, no. 1, pp. 22–37, 2010.[2] J. M. Dennis, J. S. Phinney, and L. I. Chuateco, "The role of motivation, parental support, and peer support in the academic success of ethnic minority first-generation college students," J. Coll. Stud

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mallory Lancaster, Purdue University; Yi Luo; Johannes Strobel, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

inEngER, (6) there is low level of connectivity between researchers in this area, (7) Krause, S. is the“most popular” author according to social network analysis, and (8) the field that has done the mostresearch in this area is “Education, Scientific Disciplines”, which indicates that most venues to publishK-12 EngER are educational rather than engineering venues.Keywords— K-12; engineering; education; research; social network analysis Introduction Engineering education (EngE) has strong associations with science, technology and mathematicseducation and it is concerned with the teaching and learning related to engineering practice. Currently,K-12 EngE is emerging as a new discipline, overcoming

Conference Session

Motivation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue University, West Lafayette (College of Engineering); Jiawei Zhang, Purdue University, West Lafayette (College of Engineering); Rebecca Kramer, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. doi: 10.1002/sce.210075. Baker, D., Krause, S., Yaşar, ş., Roberts, C., & Robinson-Kurpius, S. (2007). An intervention to address gender issues in a course on design, engineering, and technology for science educators. Journal of Engineering Education, 96(3), 213-226. doi: 10.1002/j.2168-9830.2007.tb00931.x6. Adelman, C. (1998). Women and men of the engineering path: A model for analyses of undergraduate careers. (Report No. PLLI-98-8055). Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education Retrieved from ERIC database. (ED419696).7. Bucciarelli, L. L. (2003). Engineering philosophy. Delft, The Netherlands: DUP Satellite.8. Su, R., Rounds, J., &

Conference Session

Educational Research and Methods Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Il-Seop Shin, Western Illinois University; Eun Go, Western Illinois University; Colin Ross Harbke, Western Illinois University; Thomas Mark Scaife, McGraw-Hill Education

Tagged Divisions

Educational Research and Methods

– .47 .63 .45 .42 .41 .00 3. Perceived Usefulness .33 .42 – .66 .75 .70 .72 .12 4. Perceived Ease of Use .44 .58 .65 – .69 .70 .69 .09 5. ILTs Compatibility .23 .38 .73 .66 – .73 .79 .10 6. Attitudes toward ILT s .30 .38 .67 .71 .70 – .78 .11 7. ILTs Behavioral Intentions .22 .33 .69 .66 .77 .78 – .07 8. GPA -.04 .04 .13 .13 .11 .12 .09 – Note. Parametric (i.e., Pearson) correlations are below the primary diagonal and non

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jonathan C. Hilpert, Georgia Southern University; Rebecca Holliday, Georgia Southern University

Tagged Divisions

Educational Research and Methods

(1955) Hakimi (1962)). Let S = (d1 , · · · , dn ) be a finite list ofnonnegative integers that is nonincreasing. List S is graphic if and only if the finitelist S = (d2 − 1, d3 − 1, · · · , dd1 +1 − 1, dd1 +2 , · · · dn ) has nonnegative integers and isgraphic. The algorithm then follows a recursive method where the theorem is used withS = S until S = {0}. Generating Random Graphs Once we determined the classroom networks in question were graphical, we wantedto generate a random graph from the degree sequence that was likely to representthe network structure of the data. The inspiration came from a popular methodin statistics called bootstrapping. Using Havel-Hakimi Algorithm, a program waswritten in python and

Conference Session

ERM Technical Session 22: Perspectives and Evaluation of Engineering Design Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicholas D. Fila, Iowa State University; Seda McKIlligan, Iowa State University

Tagged Divisions

Educational Research and Methods

and community populations Example(s) Integrate design thinking Increase the difficulty of and Introduce a design project in activities into technical labs time spent on lab projects which students design for and because the challenge was how with an elementary school you developed as an engineer classTable 3. Comparison of Similar Heuristic Observed in All Three Datasets Team Meetings Instructor Interviews Course Papers Title Increase activity within lecture Get students active in lecture Increase activity in lecture Description Add hands-on

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lisa Lampe, University of Virginia; Megan Harris, University of Colorado Boulder; Kayla Brooks, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

,” National Student Clearinghouse Research Center, Herndon, VA, Signature Report 19, Dec. 2020. [Online]. Available: https://nscresearchcenter.org/wp-content/uploads/Completions_Report_2020.pdf[2] D. Shapiro, A. Dundar, F. Huie, P. Wakhungu, A. Bhimdiwala, and S. Wilson, “Completing college: A state-level view of student completion rates includes for the first- time, race and ethnicity outcomes for four-year public institutions,” National Student Clearinghouse Research Center, Herndon, VA, 16a, Feb. 2019. [Online]. Available: https://www.studentclearinghouse.org/blog/completing-college-a-state-level-view-of- student-completion-rates-includes-for-the-first-time-race-and-ethnicity-outcomes-for-four- year-public

Conference Session

ERM Technical Session 4: Professional Development in Undergraduate Programs

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alejandro Gutierrez, University of California, Merced; Christopher A. Butler, University of California, Merced; Abbas Ghassemi, University of California, Merced

Tagged Divisions

Educational Research and Methods

partners will benefit from an improved hiring pool of highly preparedand experienced candidates and from a constant stream of engineering solutions provided by ourstudent teams. Furthermore, this project will help underserved populations at UC Merced succeedprofessionally through the incorporation of collaborative and experiential learning, therebymaking engineering education more inclusive. Finally, the proposed PDT will help make theengineering profession equally attractive and accessible to all students which, in turn, will lead toa more diverse STEM workforce.References[1] S. Howe, L. Rosenbauer, J. Dyke Ford, N. Alvarez, M. Paretti, C. Gewirtz, D. Kotys-Schwartz, D. Knight and C. Hernandez, "Preliminary Results from a Study Investigating

Conference Session

Motivation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Lisa Benson, Clemson University; Catherine Mcgough Spence, Clemson University; Daniel Michael Kuzbary; Julia L. Sharp, Colorado State University

Tagged Divisions

Educational Research and Methods

for Work Avoid in either comparison.It is interesting to observe significant decreases in Expectancy between both 2013 and 2016 andbetween 2014 and 2016, with a medium effect size for the decrease between 2014 and 2016.Student perceptions about their abilities to complete tasks in their engineering courses appear todecrease after their first year, possibly due to the challenges of upper level courses with whichthey are confronted.Table 2: Summary of mean (standard deviation) values for all factors for each year and thematched pairs t-test or Signed-Rank test results for comparisons, including the test statistic t(n-1)or S, respectively, the sample size n, the p-value, and the effect size d for significant results.Factor scores are on a scale

Conference Session

Persistence and Retention

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yu-Yun Liu, University of Louisville; Kate E. Snyder, University of Louisville; Patricia A Ralston, University of Louisville

Tagged Divisions

Educational Research and Methods

College Student Personnel at the University of Louisville. Her research interests include understanding the role of achievement motivation in the development of academic underachievement, particularly among gifted students.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in

Conference Session

ERM Potpourri II

Collection

2007 Annual Conference & Exposition

Authors

David Jonassen, University of Missouri; Sanjay Rebello, Kansas State University; Carlos Wexler, University of Missouri; Zdeslav Hrepic, Fort Hays State University; Gregory Triplett, University of Missouri

Tagged Divisions

Educational Research and Methods

majors. We have developed a web-basedenvironment that presents pairs of problems and then asks questions about thoseproblems one at a time (see Figure 1 for sample questions related to work-energy). Page 12.1013.4Problem 1 (Giancoli 6-19) Problem 2 (Giancoli 6-23)A 0.088kg arrow is fired from a bow whose string A 0.25kg softball is pitched at 26m/s. By the time itexerts an average force of 110N over a distance of reaches the plate a distance 15m away it has slowed0.78m. to 23m/s.Neglecting air resistance, what is the speed of the Neglecting gravity, what is the

Conference Session

Misconceptions

Collection

2013 ASEE Annual Conference & Exposition

Authors

Shane A. Brown P.E., Washington State University

Tagged Divisions

Educational Research and Methods

0837749 andEngineering Education Program under Grant 1129460. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author and donot necessarily reflect the views of the National Science Foundation.Bibliography[1] Gray, G.L., et al. The dynamics concept inventory assessment test: A progress report and some results. in American Society for Engineering Education Annual Conference and Exposition. 2005.[2] Jordan, W., H. Cardenas, and C.B. O'Neal. Using a Materials Concept Inventory to Assess an Introductory Materials Class: Potential and Problems. in American Society for Engineering Education Annual Conference and Proceedings. 2005.[3] Krause, S. and A. Tasooji. Diagnosing

Conference Session

Understanding Our Students

Collection

2011 ASEE Annual Conference & Exposition

Authors

Robert M. Bielby, University of Michigan; Trevor Scott Harding, California Polytechnic State University; Donald D. Carpenter, Lawrence Technological University; Cynthia J. Finelli, University of Michigan; Janel A. Sutkus, Carnegie Mellon University; Brian A. Burt, University of Michigan; Eunjong Ra, University of Michigan ; Matthew Holsapple, University of Michigan

Tagged Divisions

Educational Research and Methods

AC 2011-1952: IMPACT OF DIFFERENT CURRICULAR APPROACHESTO ETHICS EDUCATION ON ETHICAL REASONING ABILITYRobert M Bielby, University of Michigan Robert Bielby is a doctoral student in the Center for the Study of Higher and Postsecondary Education focusing in higher education policy and quantitative methodology.Trevor Scott Harding, California Polytechnic State University Dr. Trevor S. Harding is Chair and Professor of Materials Engineering at California Polytechnic State UniversitySan Luis Obispo where he teaches courses in biomaterials, solidification metallurgy, tribology and life cycle design. Dr. Harding has published numerous manuscripts in the area of ethical development of engineering undergraduates through

Conference Session

Conceptual Learning

Collection

2010 Annual Conference & Exposition

Authors

Marisa Orr, Clemson University; Lisa Benson, Clemson University; Sherrill Biggers, Clemson University

Tagged Divisions

Educational Research and Methods

. Future work includes dissemination ofthe materials required for such a change as well as recommendations for implementation.References1. L. Benson, S. Biggers, W. Moss, M. Ohland, M. Orr and S. Schiff, Adapting and Implementing the SCALE-UP Approach in Statics, Dynamics, and Multivariable Calculus. Proceedings of the Annual Meeting of the American Society for Engineering Education (2007).2. L. Benson, S. Biggers, W. Moss, M. Ohland, M. Orr and S. Schiff, Student Performance and Faculty Development in SCALE-UP Engineering and Math Courses. Proceedings of the Annual Meeting of the American Society for Engineering Education (2008).3. L. Benson, S. Biggers, W. Moss, M. Ohland, M. Orr and S. Schiff, Adapting and Implementing the

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jason Tedstone, Clemson University; Karen A. High, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

searching. Educational Psychologist, 39, 43–55.Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefsabout knowledge and knowing and their relation to learning. Review of EducationalResearch, 67(1), 88–140.King, P. M. & Kitchener, K. S. (1994). Developing Reflective Judgment: Understanding andPromoting Intellectual Growth and Critical Thinking in Adolescents and Adults. San Francisco:Jossey Bass.King, P.M., & Kitchener, K. S. (2001). “The Reflective Judgment Model: Twenty Years ofResearch on Epistemic Cognition,” in B.K. Hofer and P.R. Pintrich, eds., PersonalEpistemology: The Psychology of Beliefs about Knowledge and Knowing, Mahwah, NJ:Lawrence Erlbaum Associates.King, P. M. & Kitchener, K. S

Conference Session

Classroom Practice II: Technology - and Game-Based Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Matthew Rhudy, Pennsylvania State University, Berks Campus; Rungun Nathan, Pennsylvania State University, Berks Campus

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

fluid mechanics students for their participation,feedback, and support of this experimental project.References1 Britton, B. K., and Tesser, A., “Effects of Time-Management Practices on College Grades,” Journal ofEducational Psychology, Vol. 83, No. 3, 1991, pp. 405-410.2 Gregory, J. M., W. J. Carter, and P. S. Gregory, The Student's Handbook for Academic Survival in College,McGraw-Hill, 1997.3 Gregory, J. M, Xie, X., and Mengel, S. A., “Active and Passive Learning Connections to Sleep Management,” 33rdASEE/IEEE Frontiers in Education Conference, Boulder, CO, Nov. 2003.4 Gregory, J. M, Xie, X., and Mengel, S. A., “Sleep Management: A Frontier for Improved AcademicPerformance,” Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference, The

Conference Session

Fostering Student Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alexandra Emelina Coso, Georgia Institute of Technology; Reid Bailey, University of Virginia

Tagged Divisions

Educational Research and Methods

various perspectives and an ability to evaluate multiple disciplinary approaches to problem-solving. Interdisciplinarity also includes an ability to recognize the strengths or weaknesses of one‟s own disciplinary perspective, but also recognize the shared assumptions, skills or knowledge among disciplines.”20The research design and methods of this study were influenced by specific qualities ofinterdisciplinary understanding at the collegiate level21-22. Boix Mansilla and Duraisingh (2007;2009) worked to determine a comprehensive definition of what constitutes a student‟sinterdisciplinary understanding based upon faculty assessment of student interdisciplinaryresearch. The study focused on four well-recognized

Conference Session

Faculty Perspectives of Active Learning, Inequity, and Curricular Change

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Hadi Ali, Arizona State University; Ann F. McKenna, Arizona State University; Jennifer M. Bekki, Arizona State University; Rod D. Roscoe, Arizona State University

Tagged Divisions

Educational Research and Methods

student motivation. Journal of EducationalPsychology, 84, 261-271.Amundsen, C., & Wilson, M. (2012). Are we asking the right questions? A conceptual review of theeducational development literature in higher education. Review of Educational Research, 82(1), 90–126.doi: 10.3102/0034654312438409Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional issues in research onmetacognition and self-regulated learning: A discussion. Metacognition and Learning, 4(1), 87-95.Baard, S. K., Rench, T. A., & Kozlowski, S. W. (2014). Performance adaptation: A theoretical integrationand review. Journal of Management, 40(1), 48-99.Baker, L. (1979). Comprehension monitoring: Identifying and coping with text confusions. Journal ofReading

Conference Session

ERM Technical Session 6: Technology-enhanced Instruction and Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jessica Watkins, Vanderbilt University; Merredith D. Portsmore, Tufts University; Rebecca D. Swanson, Tufts University

Tagged Divisions

Educational Research and Methods

. 2001.[5] N. Cross, Designerly Ways of Knowing. London: Springer-Verlag, 2007.[6] D. Crismond and R. S. Adams, “A Scholarship of Integration : The Matrix of Informed Design,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, 2012.[7] S. R. Daly, R. S. Adams, and G. M. Bodner, “What Does it Mean to Design? A Qualitative Investigation of Design Professionals’ Experiences,” J. Eng. Educ., vol. 101, no. 2, pp. 187–219, 2012.[8] H. Wang, T. J. Moore, G. H. Roehrig, and M. S. Park, “STEM Integration : Teacher Perceptions and Practice STEM Integration : Teacher Perceptions and Practice,” J. Pre- 13 College Eng. Educ. Res., vol. 1

Conference Session

Student Learning, Problem Solving, & Critical Thinking 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nathan M. Hicks, University of Florida; Amy Elizabeth Bumbaco, University of Florida; Elliot P. Douglas, University of Florida

Tagged Divisions

Educational Research and Methods

century. (National Academies Press, 2005).11. Arum, R. & Roksa, J. Academically Adrift: Limited Learning on College Campuses. (University of Chicago Press, 2011).12. Crabbe, N. Study: College students fail to think critically. The Chalkboard. (2011). at .13. Jaschik, S. “Academically Adrift” | Inside Higher Ed. High. Ed. (2011). at .14. Leef, G. No Work, All Play, Equals a Job? – Room for Debate. New York. (2011). at .15. Paul, R. The State of Critical Thinking Today. (2004). at .16. Mason, M. Critical thinking and learning. Educ. Philos. Theory 39, 339–349 (2007).17. Ennis, R. H. A taxonomy of critical thinking dispositions and abilities. (1987). at 18. French, J. N. & Rhoder, C. Teaching Thinking Skills: Theory

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Malinda Faber, The Friday Institute for Educational Innovation at North Carolina State University; Alana Unfried, North Carolina State University; Eric N. Wiebe, North Carolina State University; Jeni Corn, Friday Institute for Educational Innovation, NC State University; Latricia Walker Townsend; Tracey Louise Collins, North Carolina State University

Tagged Divisions

Educational Research and Methods

innovative STEM educationprograms designed in part to increase student attitudes toward STEM subjects and careers. Thispaper describes how a team of researchers at The Friday Institute for Educational Innovation atNorth Carolina State University developed the Upper Elementary School and Middle/HighSchool Student Attitudes toward STEM (S-STEM) Surveys to measure those attitudes. Thesurveys each consist of four, validated constructs which use Likert-scale items to measurestudent attitudes toward science, mathematics, engineering and technology, 21st century skills.The surveys also contain a comprehensive section measuring student interest in STEM careers.The surveys have been administered to over 10,000 fourth through twelfth grade students inNorth

Conference Session

Innovative Pedagogies Afforded Through Technology and Remote Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University, Polytechnic campus; Tahzinul Islam, York University

Tagged Divisions

Educational Research and Methods