More Like this

1. Self-Regulation of Cognition and Self-Regulation of Motivation in Problem Solving

   Lawanto, Oenardi ; Minichiello, Angela ; Ul_abideen, Zain ; Naqash, Talha ; Iqbal, Assad ( June 2023 , American Society for Engineering Education)

   This work-in-progress paper shares findings of the early stage of a 3-year research funded by the National Science Foundation. The major aim of the project is to advance engineering and mathematics (EM) education theory and practice related to students’ self-regulation of cognition and motivation skills during problem-solving activities. The self-regulation includes students’ metacognitive knowledge about task (MKT) and self-regulation of cognition (SRC). The motivational component of self-regulation (SRM) includes self-control of the motivation needed to maintain the level of engagement and deliberate practice necessary for scientific thinking and reasoning. To be effective problem-solvers, students must understand the relationship between the MKT, SRC and SRM throughout the problem-solving activities. Four research questions will guide the research: (1) How do students perceive their self-regulation of cognition (SRC) and motivation (SRM) skills for generic problem-solving activities in EM courses; (2) How does students’ metacognitive knowledge about problem-solving tasks (MKT) inform their Task interpretation?; (3) How do students’ SRC and SRM dynamically evolve?; and (4) How do students’ SRC and SRM reflect their perceptions of self-regulation of cognition and motivation for generic EM problemsolving activities? A sequential mixed-methods research design involving quantitative and qualitative methods are used to develop complementary coarse- and fine-grained understandings of undergraduate students’ SRC and SRM during academic problem-solving activities. Two 2nd year EM courses: Engineering Statics, and Ordinary Differential Equations were purposefully selected for the contexts of the study. One hundred forty two students from both courses were invited and participated in quantitative data collection using two validated surveys during spring 2022 semester. Later in the semester, qualitative data will be generated with twenty students in both courses through one-on-one interviews with students and course instructors, think-aloud protocols with students, and classroom observations. Coarse-grained understandings of students’ SRC and SRM are currently developed through analysis of quantitative data collected using self-report surveys (i.e., BRoMS and PMI). Fine-grained understandings of students’ SRC and SRM will be developed through analysis of qualitative data gathered via one-on-one interviews, think-aloud protocols, classroom observations, and course artifacts gathered as students engage in EM problem-solving activities. 

   more » « less
2. Mastery, models, messengers, and mixed emotions: Examining the development of engineering self‐efficacy by gender

   https://doi.org/10.1002/jee.20494  

   Chen, Xiao‐Yin ; Usher, Ellen L. ; Roeder, Madelyn ; Johnson, Alecia R. ; Kennedy, Marian S. ; Mamaril, Natasha A. ( January 2023 , Journal of Engineering Education)

   Engineering self‐efficacy, or the belief in one's own capabilities to complete engineering tasks, has been shown to predict greater motivation, academic performance, and retention of engineering students. Investigating the types of experiences that influence engineering students' self‐efficacy can reveal ways to support students in their undergraduate engineering programs.

   The purpose of this study was to qualitatively examine how undergraduate engineering students describe the sources of their engineering self‐efficacy and whether patterns in students' responses differed by gender.

   Participants (N = 654) were undergraduate engineering students attending two public, land‐grant universities in the U.S. Open‐ended survey questions were used to identify the events, social experiences, and emotions that students described as relevant to their engineering self‐efficacy. Chi‐square analyses were used to investigate whether response patterns varied by gender.

   Students described enactive performances as their most salient source of self‐efficacy, but interesting insights also emerged about how engineering students draw from social and emotional experiences when developing their self‐efficacy. Women more often referred to social sources of self‐efficacy and reported fewer positive emotions than did men.

   Findings suggest ways that educators can provide more targeted opportunities for students to develop their self‐efficacy in engineering.

    

   more » « less
3. Why do CS1 Students Think They're Bad at Programming?: Investigating Self-Efficacy and Self-Assessments at Three Universities

   https://doi.org/10.1145/3372782.3406273  

   Gorson, Jamie ; O'Rourke, Eleanor ( August 2020 , Proceedings of the 2020 ACM Conference on International Computing Education Research)

   null (Ed.)

   Undergraduate computer science (CS) programs often suffer from high dropout rates. Recent research suggests that self-efficacy -- an individual's belief in their ability to complete a task -- can influence whether students decide to persist in CS. Studies show that students' self-assessments affect their self-efficacy in many domains, and in CS, researchers have found that students frequently assess their programming ability based on their expectations about the programming process. However, we know little about the specific programming experiences that prompt the negative self-assessments that lead to lower self-efficacy. In this paper, we present findings from a survey study with 214 CS1 students from three universities. We used vignette-style questions to describe thirteen programming moments which may prompt negative self-assessments, such as getting syntax errors and spending time planning. We found that many students across all three universities reported that they negatively self-assess at each of the thirteen moments, despite the differences in curriculum and population. Furthermore, those who report more frequent negative self-assessments tend to have lower self-efficacy. Finally, our findings suggest that students' perceptions of professional programming practice may influence their expectations and negative self-assessments. By reducing the frequency that students self-assess negatively while programming, we may be able to improve self-efficacy and decrease dropout rates in CS. 

   more » « less
4. Self-efficacy, mindfulness, and self-compassion as predictors of math anxiety in undergraduate students

   https://doi.org/10.1080/0020739X.2022.2054740  

   Leppma, Monica ; Darrah, Marjorie ( March 2022 , International Journal of Mathematical Education in Science and Technology)

   Many undergraduate students avoid mathematics classes due to math anxiety. This curtails options, particularly STEM majors where workers are needed and jobs are prevalent. This study aimed to investigate whether self-efficacy, mindfulness, and self-compassion predicted math anxiety. Participants of this study were undergraduate students (N = 345) from the Mathematics Department at a large Southeastern U.S. university. There was a significant difference in math anxiety scores between students pursuing STEM and non-STEM degrees. Non-STEM majors had higher scores on a measure of math anxiety. Hierarchical multiple regression results suggested that self-efficacy and self-compassion predicted math anxiety. There was a significant correlation, but not a predictive relationship, between mindfulness and math anxiety. 

   more » « less
5. Extracurricular College Activities Fostering Students’ Innovation Self-efficacy.

   Dungs, C. ; Sheppard, S. ; Chen, H. ( January 2017 , Proceedings of the American Society for Engineering Eduation)

   This study examines the relationship between participation in extracurricular college activities and its possible impact on students’ career interests in entrepreneurship and innovation. This work draws from the Engineering Majors Survey (EMS), focusing on innovation self-efficacy and how it may be impacted by participation in various extracurricular college activities. The term self-efficacy as developed by Albert Bandura is defined as “people’s judgment of their capabilities to organize and execute courses of action required to attain designated types of performances” (Bandura, 1986, p.391). Innovation self-efficacy is a variable consisting of six items that correspond to Dyer’s five discovery skills seen as important for innovative behavior. In order to investigate the relationship between participation in certain activities and innovation self-efficacy, the 20 activities identified in the EMS survey were grouped thematically according to their relevance to entrepreneurship-related topics. Students were divided into two groups using K-means cluster analysis according to their innovation selfefficacy (ISE.6) score. Cluster one (C1) contained the students with higher ISE.6 scores, Cluster two (C2) included the students with lower innovation self-efficacy scores. This preliminary research focused on descriptive analyses while also looking at different background characteristics such as gender, academic status and underrepresented minority status (URM). The results show that students in C1 (high ISE.6) have significantly greater interest in starting an organization (78.1%) in comparison to C2 students (21.9%) (X²=81.11, p=.000, Cramer’s V= .124). At the same time, male students reported significantly higher ISE.6 scores (M=66.70, SD=17.53) than female students (M=66.70, SD=17.53) t(5192)=-5.220 p=.000 and stronger intentions to start an organization than female students (15% and 6.1 % respectively). Cluster affiliation representing innovation self-efficacy as well as gender seems to play a role when looking at career interest in entrepreneurship. According to Social Cognitive Career Theory, self-efficacy is influenced by learning experiences. In this work activities referring to hands-on activities in entrepreneurship and innovation are highly correlated with ISE.6 (r=.206, p=.000), followed by non-hands-on exposure to entrepreneurship and innovation. At the same time, students in C1 participated almost twice as often in hands-on activities in entrepreneurship and innovation (28.6%) as compared to students in C2 (15.2%). Interestingly in C1, there were no gender differences in participation in hands-on activities in entrepreneurship and innovation. Overall, female students (M=4.66, SD=2.5) participated in significantly more activities than male students (M=3.9, SD=2.64), t(5192)=9.65 p=.000. All in all, these results reveal interesting insights into the potential benefits of taking part in innovation and entrepreneurship-related activities and their impact on students’ innovation self-efficacy and interests in corresponding careers. 

   more » « less