instruction during the pandemic offered both challenges andopportunities for producing self-directed learners. We recommend that engineering schoolsimplement more interventions to help engineering students enhance their self-directed learningcapabilities.Keywords: online, self-directed learning, motivation, social cognitive perspective, pandemicIntroduction The current COVID-19 pandemic has brought about unprecedented academic disruptions topostsecondary education, alongside tremendous social and economic impacts to almost all sectors. InCanada, over 90% of postsecondary campuses moved some or all their courses online in response tothe pandemic, according to a Statistics Canada survey report in May 2020 [1]. After a summer ofintense planning
salient events. Nature, 411, 305–309.Andrienko, N., & Andrienko, G. (2005). Exploratory Analysis of Spatial and Temporal Data. A Systematic Approach. Heidelberg: Springer.Axson, D. A. (2003). Best practices in planning and management reporting: from data to decisions. J. Wiley & Sons.Bornstein, R. F. (1989). Exposure and affect: Overview and meta-analysis of research, 1968–1987. Psychological Bulletin, 106(2), 265-289.Butler, B. E. (1980). Selective attention and stimulus localization in visual perception. Canadian Journal of Psychology, 34, 119-133.Doyle, J. (1997). The Cognitive Psychology of Systems Thinking. System Dynamics Review, 13(3), 253– 265.Duncan, J. (1984). Selective attention and the
factor and showed high coefficient alpha (.93) with the final grades in the original MSLQdescription [2].Test anxiety The MSLQ includesd test anxiety as a factor of affective component. This componentincludes both an emotionality and cognitive component. Emotionality refers to affective andphysiological aspects, like worries. The cCognitive component of test anxiety includes cognitiveconcern and preoccupation with performance. Test anxiety was negatively correlated toacademic performance (α = .80) [2].Time and study environment Self-regulation of time and study environment (TSE) is important for one’s successfullearning, and this factor also was highly correlated with the final grade (α = .76). It encompassesscheduling, planning
research intends to use a rubricto evaluate student perceptions regarding context, social interaction, and authentic learning and tocluster students into high, medium, and low categories to conduct a deeper analysis of studentexperiences using sentiment analysis and thematic analysis.AcknowledgementThe research reported in this paper was supported in part by the National Science Foundation underthe awards DMS- 1246818 and EEC-1449238 and by the Lilly Endowment Charting the FuturePhase I Planning Grant, through the Purdue Office of the Provost. This work was also supportedin part by the National Science Foundation Graduate Research Fellowship Programunder Grant No. (DGE-1842166). M.D. Ward's research is also supported by National ScienceFoundation
other community-based making websites and forums to learn about materials,electronics, tools and tooling as well as to find inspiration, methods, and procedures. Websitessuch as TinkerCAD and 123Design coupled with early desktop 3D printer such as the MakerBotbrought digital design, modeling, and printing to the non-expert, while sites such as Thingiverseshowed the non-expert what was possible. Beyond these simple making solutions, the internetprovides extensive making and manufacturing knowledge and inspiration with instruction andprojects for the laser cutter, vinyl cutter, lathe, CNC, waterjet – just to name a few. Everythingfrom how to videos, pictures of projects, and project plans are available. Many of our studentshave grown up
desire to pay careful attention to standards was largely driven by the college’s plan toincrease its ranking. Thus, “every hire has to actually, in some respects, move the needle interms of ranking. So it’s tough. It’s tough to do that and keep an eye on diversity.”He did describe some solutions to this dilemma. One was simply working to get a criticalmass, as the college did several years previously with a cluster hire of Black faculty. He alsoproposed ways to increase the pipeline. For example, he has been considering creating aprogram whereby promising undergraduates from his college would be mentored to entergraduate school somewhere else and then have preferred consideration for later hiring. Healso suggested a consortium model whereby
a positive effect. However,at this time, it is too early to determine with certainty the causality of this result. In the future wewill design surveys that allow quantitative measure of satisfaction of the project sponsor. Wealso plan to conduct a study to document students’ perceptions on the impact of the projectexperience in their academic and professional careers. We also intend to design pre-test andpost-test that permits us to measure the level of knowledge reached by each group and to developsurveys as an instrument of course assessment. These tools can demonstrate possible differencesin the impact of this course on students with different profiles.AcknowledgementsWe would like to acknowledge the Department of Engineering Sciences
higher scores in both theIndividualization and Task orientation subscales and that increases in these two scores may indicatehigher self-efficacy. Table 1: Description of seven subscale in the CUCEI CUCEI subscale Description Example item Personalization Opportunities for individual interactions The instructor goes out of between faculty and student, especially on his/her way to help students. concern for student’s welfare. (+) Satisfaction Do student enjoy the class? Classes are boring. (-) Innovation Does the faculty plan unusual activities, New and different ways of
Code Value Monitoring of process overall Planning (Sense making) 1 Composing 2 Process Level Editing 3 Internal and external processes involved Revision 4 in the process of actually writing text Collaborators & Critics 5 Technology 6 Task
manyways that persisters and nonpersisters are similar and the potentially significant ways that theyare different. A more comprehensive analysis of the data is in progress.I. IntroductionThe Academic Pathways Study (APS) of the Center for the Advancement of EngineeringEducation (CAEE) is building upon and extending knowledge related to retention in engineeringeducation1-7 by employing quantitative and qualitative approaches to establish a longitudinalresearch base on engineering student learning8. This paper reports the preliminary analysisoutcomes of six of the seven planned administrations of the Persistence in Engineering (PIE)survey instrument, which was developed as a part of the APS9.The PIE Survey intends to identify correlates of
cognition, motivation and behavior, guidedand constrained by their goals and the contextual features in the environment” as self-regulated learning or self-regulation5. Self-regulated learning consists of threecomponents: 1) metacognitive strategies (planning, monitoring and modifying one’scognitive development); 2) time-management on academics tasks; 3) employment ofstrategies to learn and understand material6. An attribute of self-regulated learning isone’s autonomy, or freedom to act independently. Because learning occurs within thelearner through interaction with environmental elements (e.g., socil interaction, learningtools), all learning is controlled by the learner, to some extent. That is, one’s developmentrequires that the learner choose
learning styles.AcknowledgmentsWe are deeply grateful to the students who participated in this study, for their efforts, time, andgood will. We also thank the other Fall 2007/2008 ES201 instructors for their willingness toassist with data collection: Dr. Thomas Adams, Dr. Calvin Lui, Dr. Michael Moorhead, Dr.Lorraine Olson. We thank Dr. Richard Felder for comments and suggestions contributed duringthe planning stages of this study. Finally, we gratefully acknowledge financial support receivedfrom a Rose-Hulman Faculty Success Grant, funded by the Lilly Endowment Inc., grant # 20041872-000. Page 13.474.10Bibliography1. J. Hayes and C.W. Allinson
learningconditions compatible with his/her learning style. The process begins by having students takethe Learning Connections Inventory (LCI). Responses to the LCI’s 28 statements about learningpreferences, using a 5-point scale ranging from Always to Never Ever, yield a profile of theextent to which an individual utilizes each of four types of patterned learning processes, listedbelow with some of the key preferences characterizing each pattern: • Sequence (organization, planning, order, structure) • Precision (information, details, knowing for the sake of knowing) • Technical Reasoning (hands-on learning, relevance, self-sufficiency) • Confluence (risk, innovation, alternative views, freedom from rules)All learners are
AC 2008-2439: HOW ACCURATE IS STUDENTS’ SELF-ASSESSMENT OFCOMPUTER SKILLS?Michael Collura, University of New HavenSamuel Daniels, University of New Haven Page 13.671.1© American Society for Engineering Education, 2008 How Accurate is Students’ Self-Assessment of Computer Skills? AbstractSelf-evaluation by students is commonly used as a key element in program and courseassessment plans. Such instruments are intended to provide crucial feedback for programimprovement and thus play a significant role in closing our assessment loop. For many of theprogram outcomes, self-assessment by current students and graduates augments other
of the research plan we are presently usingto study CADEX in the context of a senior level biomedical engineering design course.IntroductionSeveral recent reports stress that the competitive advantage of the U.S. lies in its role as a leaderin technological innovation1,2. These reports make statements such as “leadership in innovationis essential to U.S. prosperity and security”3 and “innovation will be the single most importantfactor in determining America’s success through the 21st century”1. These reports send aresounding message that engineering education in the U.S. needs to emphasize and developknowledge and skills that are essential to innovation in a rapidly evolving technological society.From an education standpoint, there are many
. Project description & faculty/mentor contact info mailed to intern selections by site. April Selection process completed. Housing and travel arranged by site. Faculty & mentors begin discussions w/ interns -- recommend readings and online training. May Sites send interns program guidelines/schedule/expectations & online link to orientation and training. Sites review projects with faculty & mentors, ensures availability of equipment & supplies, reviews research plan & training requirements. Reviews mentor and NNIN REU program expectations. June Interns arrive and undergo
formation. Through this deep representation of professional identity, wefound that exposure to engineering and overall familiarity with the field proved to be one ofthe largest factors effecting retention. Our preliminary findings point to the conclusion thatrecruitment and retention can be improved by increasing the presence of engineering in K-12settings and undergraduate institutions respectively. We suggest directions for future workand discuss our plans to explore the development of the professional identity over time (fromfreshman to senior year) as well as additional levels of identity formation and transformation.IntroductionThe need to protect the competitive ability of the U.S. and maintain its technological edgeagainst challenges such as
the teams that had structured writingexercises and teams without it. This study is important to consider because it is a qualitativestudy that was conducted to enhance metacognitive skills. Although the metacognitive skills arequite different than reflective thinking skills, they still rest on the same premises.The Engineering Projects in Community Service (EPICS) Program was developed at PurdueUniversity and resembles [our program]. The EPICS program allows undergraduate engineeringstudents to aid community service agencies with technical assistance. Reflection is integratedinto each milestone the team completes.13 Milestones include (1) developing a semester plan, (2)meeting with project partners, (3) submitting personal goals for the
primary areas of the study (transfer of procedural and conceptualknowledge of sequence and series, design of in-class formative assessment), several relevantquestions emerge for continuing research. Further analysis in students’ transfer of mathematicalknowledge will consider additional problems in order to more clearly understand how thestudents work with multiple variables as well as moving between the frequency and timedomains in signals and systems. In addition to examining a wider range of problems, we plan tocorrelate in-class problem performance with students’ performance on related exam questionsand class projects. Further study in design of formative assessments will investigate the role ofthe instructor and how to best construct and
Page 14.1274.9 laboratory based project (RUBE),” Proc. 2006 ASEE Annual Conference, Chicago, IL.53. P. Avitabile, J. Hodgkins, T. Van Zandt, “Innovative teaching of Fourier series using LabView,” Proc. 2006 ASEE Annual Conference, Chicago, IL.54. D. Millard, J. Coutermarsh, K. Connor, “Re-engaging engineering students in hands-on education,” Proc. 2006 ASEE Annual Conference, Chicago, IL.55. H. Lukman, S. Shooter, F. Alizon, A. Sahin, J. Terpenny, R. Stone, T. Simpson, S. Kumara, “An inter- university collaborative undergraduate research/learning experience for product platform planning: year 2,” Proc. 2006 ASEE Annual Conference, Chicago, IL.56. A. Verma, “Enhancing student learning in engineering technology
of action for a givendomain-specific task.[1, 2] An individual’s self-efficacy plays a crucial role in theirability to conduct a particular task; however, self-efficacy toward engineeringconcepts is rarely analyzed. Information about engineering student levels of self-efficacy on engineering tasks can be useful for educators to plan and structureengineering courses.The following paper describes an exploratory pilot study conducted to inform thedevelopment of an instrument designed to identify self-efficacy towardengineering design. Engineering design, or the process used to devise a system,component, or process to meet a desired need, was chosen as the focus because ofits importance in the field of engineering.[3]Instrument development was
International Planning/Advisory Committee for the 2009 Research in Engineering Education Symposium, and is guest co-editor for a special issue of the International Journal of Engineering Education on applications of engineering education research.© American Society for Engineering Education, 2009Trevor Harding, California Polytechnic State University Dr. Trevor S. Harding is Associate Professor of Materials Engineering at California Polytechnic State University–San Luis Obispo where he teaches courses in service learning, introductory materials engineering, biomedical materials design, and tribology. His research interests include both ethical development in engineering students and in vivo degradation of
of motivating student learning.Homework could be assigned but not graded, with classroom discussion and web solutionposting providing feedback to student work. The authors are planning to test thishypothesis in a future Statics course. Another research direction is investigating theactual proportion of individual work in homework assignments. Although students areencouraged to seek help as necessary to understand assignments, all homeworksubmittals are expected to reflect individual work. The results of this study seeminglycontradict this guideline. Are students, to the ultimate detriment of their testperformance, not following this honor code guideline? The authors are currentlyconducting a controlled experiment to further understand the
are taking an introductoryprogramming course. Although the achievement of women in the treatment group was greater thanwomen in the control group, this was also true of the men. Women in the treatment group as compared tomen were still at a disadvantage by the end of the course. Since the spring of 2005, the designers of theAlice curriculum have been working to improve the Alice curriculum, based on the results of this study.Future plans include a more in-depth qualitative analysis of the impact of Alice on male and femaleperformances.The results regarding student attitudes after exposure to the Alice curriculum are contradictory totraditional findings in programming courses. Research suggests that many students, women in particular,exhibit
Engineering Students’ Communication, Teamwork, and Leadership Skills, vol. 57, no. 3. Springer Netherlands, 2016.[5] B. A. Burt, D. D. Carpenter, C. J. Finelli, and T. S. Harding, “Outcomes of engaging engineering undergraduates in co-curricular experiences.”[6] L. C. Strauss and P. T. Terenzini, “The Effects of Students’ In- and Out-of-Class Experiences on their Analytical and Group Skills: A Study of Engineering Education,” Res. High. Educ., vol. 48, no. 8, pp. 967–992, Dec. 2007.[7] A. L. Miller, L. M. Rocconi, and A. D. Dumford, “Focus on the finish line: does high- impact practice participation influence career plans and early job attainment?,” High. Educ., vol. 75, no. 3, pp. 489–506, 2018.[8] S
Engineering Education, 92(1), 27-39.14. Bernold, L. E., Spurlin, J. E., & Anson, C. M. (2007). Understanding our students: A longitudinal‐study of success and failure in engineering with implications for increased retention. Journal of Engineering Education, 96(3), 263-274.15. Trenor, J. M., Yu, S. L., Waight, C. L., Zerda, K. S., & Sha, T. L. (2008). The relations of ethnicity to female engineering students' educational experiences and college and career plans in an ethnically diverse learning environment. Journal of Engineering Education, 97(4), 449-465.16. James, S. M., & Singer, S. R. (2016). From the NSF: The National Science Foundation’s Investments in Broadening Participation in Science, Technology, Engineering, and
the notion ofscript [3], schema, or a plan, genre is a concept used to describe what people do in practice,specifically, their discourse or discursive practices. Genres are socially shared; Orlikowskiand Yates [18] define them as ―socially recognized types of communicative actions — suchas memos, meetings, expense forms, training seminars—that are habitually enacted bymembers of a community to realize particular social purposes (pg. 542).‖ Often, thesecommunicative actions can involve sequences of interrelated genres (e.g., a meeting mayinvolve presentation and discussion genres; a class might involve group activity followed byan individual assessment) referred to as a genre system.Overall, the genre perspective argues that there some
End-of-semester score Figure 6- Predicted scores compared to the students’ end-of-semester scoresConclusionsThe present research addresses the issue of predicting performance of students at risk of failure inengineering courses, within a test bed of Mechanics of Materials course. The goal was to developan early alert system, to predict the end-of-semester score of students based on their early semesteractivities. The developed model enables instructors to detect students who are in risk of failing andhelp them plan proactive approaches to be successful in the course. Data obtained within a periodof four semesters were incorporated for development and validation of the model. Based on theobtained data, the
in Engineering Education, August 2017, at Purdue University under the National Science Foundation Graduate Research Fellowship Program. Within his graduate work, Justin plans to explore low socioeconomic high school students’ mathematics experiences and the affect they have on their choice of pursuing post-secondary engineering education.Dr. Adam Kirn, University of Nevada, Reno Adam Kirn is an Assistant Professor of Engineering Education at University of Nevada, Reno. His re- search focuses on the interactions between engineering cultures, student motivation, and their learning experiences. His projects involve the study of student perceptions, beliefs and attitudes towards becoming engineers, their problem
directly into an area for ‘transitiondevelopment’ and considerable thought was given as to how the School of Engineering couldmaximize students’ philanthropic inclinations.Supported by the School of Engineering, Gosta University engineering students activelyparticipate in a number of socio-engineering focused societies and activities includingEngineers without Borders and Women’s Engineering Society. To better align these activitieswith individual student’s reasons for studying engineering, and in order to promote a morefocused transition into university, the foundation students were given information on suchactivities and student engineering societies during freshers week. Plans are in hand to embed‘engineering philanthropy’ into next year’s