Conference Session

Perceptions, Reflections, Collaborations, and Student Support in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bradley Cicciarelli, Louisiana Tech University; Eric A. Sherer, Louisiana Tech University; Baker A. Martin, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Chemical Engineering

. Thequalitative similarity between Figure 5c and Figure 3 is logical since the reported number ofpotential study partners is a single-item measure of social integration. The administration ofsurveys in Spring 2020 will help determine whether these rating increases experienced bycampers are sustained throughout the sophomore year. The data in Figures 2-4 suggest that thereis some lasting effect. Figure 5. Average student survey ratings of (a) chemical engineering self-efficacy, (b) coping self-efficacy, and (c)social integration and academic integration. Error bars indicate the 95% confidence interval.Future Work We will continue to collect student data using the improved surveys with responsestracked to individual students. Once the data set is

Conference Session

Work in Progress: Assessment, Evaluation and Hands-on Activities

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Justin F Shaffer, Colorado School of Mines; Jordan Lopez, Colorado School of Mines; Alexander Luther Ellis, Colorado School of Mines

Tagged Divisions

Chemical Engineering

study support this notion as only 10.0% of students’ comments noted that biology isuseful for their career.Future work on this project will involve analyzing the semantic differential scale data and alsorepeating the thematic analysis with other cohorts of students. Additional types of attitudestowards biology will also be explored, including utility value (and the other values involved withexpectancy value theory) and self-efficacy towards biology. This will be an important area toexplore because even though emotions do not seem to be the reason while anecdotallyengineering students may not be enjoying biology, these other psychological aspects couldpotentially explain this observation.References[1] I. Ajzen, "From intentions to actions: A

Conference Session

Perceptions, Reflections, Collaborations, and Student Support in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sheima J. Khatib, Texas Tech University; Roman Taraban, Texas Tech University; William D Lawson P.E., Ph.D., Texas Tech University

Tagged Divisions

Chemical Engineering

associated with metacognitive reflection. Confidence relates tothe “I Can” factor in Wankat and Oreovicz’s [6] problem-solving model. Woods et al. [7] [8] alsoinclude being positive, motivated, and confident among the characteristics of successful problemsolvers, as do other educators with an interest in improving the confidence (or self-efficacy) ofengineering problem solvers [9] [10]. Lester et al. [11] suggested that “students’ success or failure insolving a problem often is as much a matter of self-confidence, motivation, perseverance, and manyother noncognitive traits, as the mathematical knowledge they possess” (p. 75).We incorporated the metacognitive and affective factors of reflection and confidence into a requiredchemical engineering