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This research paper analyzes the emotions that students experience while completing ill-defined complex problems called Open-Ended Modeling Problems in their engineering courses. Students are asked to make their own modeling decisions, rather than being given those assumptions, as is the case in most textbook problems. There are many approaches they can take, and having to make decisions and assumptions that impact the problem has been found to generate strong emotions. Goldin’s research on mathematics education asserts that students tend toward affective pathways while completing problems. An affective pathway is the sequence of emotions that a student goes through while solving a problem. Goldin theorizes that there are two main categories of affective pathways that students fall into: positive pathways and negative pathways. This paper builds on our previous work on the development of a survey instrument to quantitatively measure affective pathways. The survey asked students to drag and drop emotions into the order they experienced them during their problem solving process. In this study, we sought to improve upon our survey instrument. Based on our previous research, we added several emotions and alphabetized the list to see whether the order of words impacted the responses. Here, we examine the results from an updated survey question as well as a small set of interviews conducted to investigate how students approach answering the survey question by having them think aloud while completing it. The survey was sent to six classes at five universities, and interviews were conducted with six students at two of those universities. Through our analysis, we found that most students feel confused or frustrated at some stage, and that their emotions change as they continue from start to finish, which is in line with the findings of the previous version of the survey instrument. We are looking further into whether the students turned their frustrations into the positive or negative pathways that Goldin describes. From the interviews, we found most of the verbalized pathways matched what was submitted through the survey instrument. However, there were instances where the submitted and verbalized pathway did not match, suggesting further changes to the question’s implementation. Developing a reliable method for measuring affective pathways will enable future study of why and when positive or negative pathways occur, as well as potential actions that engineering educators can take to help students interrupt negative pathways. Goldin’s work suggests that negative pathways influence students’ global affect, which could impact retention in engineering.
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Engineering students' epistemic affect and meta‐affect in solving ill‐defined problems
Abstract BackgroundReal‐world engineering problems are ill‐defined and complex, and solving them may arouse negative epistemic affect (feelings experienced within problem‐solving). These feelings fall into sequenced patterns (affective pathways). Over time, these patterns can alter students' attitudes toward engineering. Meta‐affect (affect or cognition about affect) can shape or reframe affective pathways, changing a student's problem‐solving experience. Purpose/Hypothesis(es)This paper examines epistemic affect and meta‐affect in undergraduate students solving ill‐defined problems called open‐ended modeling problems (OEMPs), addressing two research questions: What epistemic affect and transitions between different affective states do students report? And, how does meta‐affect shape students' affective experiences? Design/MethodWe examined 11 retrospective interviews with nine students performed across two semesters in which students completed OEMPs. Using inductive and deductive coding with discourse analysis, we systematically searched for expressions conveying epistemic affect and for transitions in affect; we performed additional deductive coding of the transcripts for meta‐affect and synthesized these results to formulate narratives related to affect and meta‐affect. ResultsTogether, the expressions, transitions, and meta‐affect suggest different types of student experiences. Depending on their meta‐affect, students either recounted experiences dominated by positive or negative affect, or else they experienced negative emotions as productive. ConclusionsIll‐defined complex problems elicit a wide range of positive and negative emotions and provide opportunities to practice affective regulation and productive meta‐affect. Viewing the OEMPs as authentic disciplinary experiences and/or the ability to view negative emotions as productive can enable overall positive experiences. Our results provide insight into how instructors can foster positive affective pathways through problem‐scaffolding or their interactions with students.
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- Award ID(s):
- 2204726
- PAR ID:
- 10500672
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Journal of Engineering Education
- Volume:
- 113
- Issue:
- 2
- ISSN:
- 1069-4730
- Format(s):
- Medium: X Size: p. 280-307
- Size(s):
- p. 280-307
- Sponsoring Org:
- National Science Foundation
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