The 2021 return to face-to-face teaching and proctored exams revealed significant gaps in student learning during remote instruction. The challenge of supporting underperforming students is not expected to abate in the next 5-10 years as COVID-19-related learning losses compound structural inequalities in K-12 education. More recently, anecdotal evidence across courses shows declines in classroom attendance and student engagement. Lack of engagement indicates emotional barriers rather than intellectual deficiencies, and its growth coincides with the ongoing mental health epidemic. Regardless of the underlying reasons, professors are now faced with the unappealing choice of awarding failing grades to an uncomfortably large fraction of classes or awarding passing grades to students who do not seem prepared for the workforce or adult life in general. Faculty training, if it exists, addresses neither the scale of this situation nor the emotional/identity aspects of the problem. There is an urgent need for pedagogical remediation tools that can be applied without additional TA or staff resources, without training in psychiatry, and with only five or eight weeks remaining in the semester.
This work presents two work-in-progress interventions for engineering faculty who face the challenges described above. In the first intervention, students can improve their exam score by submitting videos of reworked exams. The requirement of voiceover forces students to understand the thought process behind problems, even if they have copied the answers from a friend. Incorporating peer review into the assignment reduces the workload for instructor grading. This intervention has been successfully implemented in sophomore- and senior-level courses with positive feedback from both faculty and students. In the second intervention, students who fail the midterm are offered an automatic passing exam grade (typically 51%) in exchange for submitting a knowledge inventory and remediation plan. Students create a glossary of terms and concepts from the class and rank them by their level of understanding. Recent iterations of the remediation plan also include reflections on emotions and support networks.
In February 2023, the project team will scale the interventions to freshman-level Introductory Programming, which has 400 students and the highest fail/withdrawal rate in the college. The large sample size will enable more robust statistics to correlate exam scores, intervention rubric items, and surveys on assignment effectiveness. Piloting interventions in a variety of environments and classes will establish best pedagogical practices that minimize instructors’ workload and decision fatigue. The ultimate goal of this project is to benefit students and faculty through well-defined and systematic interventions across the curriculum.
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Work-in-Process: Cultivating Meta-cognitive Skills and Emotional Intelligence in First-Year Curricula
Typically college STEM instructors implicitly expect a level of meta-cognition, emotional resiliency, and general student readiness that largely exceeds any training or preparation students receive in K-12. Not meeting such expectations is perhaps a more significant barrier to student success than deficits in subject-based knowledge. This paper discusses initiatives at Sitting Bull College that seek, without substantial curricular change, to enhance student meta-cognition and emotional intelligence through the use of contextualized & project-based learning in a cohort model that incorporates specific skills training (such as Motivational Interviewing) for both students and instructors.
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- Award ID(s):
- 1642047
- NSF-PAR ID:
- 10111719
- Date Published:
- Journal Name:
- 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32175
- Volume:
- https://peer.asee.org/32175
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Background Real‐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/Method We 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.
Results Together, 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.
Conclusions Ill‐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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Achieving Change in our Communities for Equity and Student Success (ACCESS) in STEM at the University of Washington Tacoma started as a Track 1 S-STEM program in 2018 and has supported 69 students to date. This year we received Track 2 funding and welcomed our fifth cohort to campus, with funding to support ~32 additional students through 2026. University of Washington Tacoma is an Asian American and Native American Pacific Islander-serving institution (AANAPISI), and we serve a high proportion of racial minority and first generation college students. Our ACCESS scholars are pursuing bachelor’s degrees in Mathematics, Environmental Science, Biomedical Sciences, Information Technology, Computer Science and Systems, Computer Engineering and Systems, Electrical Engineering, Mechanical Engineering, and Civil Engineering, with Computer Science and Engineering representing over 60% of ACCESS scholars to date. First-time college students and first-year transfer students receive full scholarships for their first two years, and partial scholarships for their third and fourth years. The project includes an optional Early Fall Math course to enhance entry into STEM majors, and participants are able to engage in a Research Experience or project-based Introduction to Engineering course in their first year. Coupled with individual faculty mentoring and an on-campus STEM living learning community, the quarterly Success in STEM seminar course helps scholars form a cohesive community through group mentoring, as well as develop a sense of belonging, identity, and empowerment to transform the culture of STEM. This program is distinguished by its focus on pre-STEM majors in their first and second years on campus, and includes mentor training for ~30-40 faculty in teaching and mentoring diverse student populations, thus impacting all students in our majors. Our goal was to evaluate the effectiveness of a program that focuses on the first two years of college and provides financial support, courses to introduce students to research and project-based engineering, and intensive mentoring in increasing retention and academic success for Computer Science and Engineering (CS+E) students, and whether this program helps to close equity gaps for CS+E students who are low socioeconomic status (SES), underrepresented minorities (URMs), female, and/or first generation in college (First Gen) students. We compared our student scholars to a comparison group of students who met eligibility requirements but did not participate in the program. Program scholars had higher first and second year retention, and had significantly higher GPAs. The pandemic resulted in significant social, emotional, and economic stresses for our program scholars, which may have heightened the impact of the ACCESS in STEM program.more » « less
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The Additive Manufacturing Workforce Advancement Training Coalition and Hub (AM-WATCH) targets to address gaps in the current knowledge base of manufacturing professionals through the development of Massive Open Online Courses (MOOCs) based educational materials, delivery of professional development activities, support provided to 30+ instructors per year, and expanded outreach activities targeting K-12 and community college teachers and students. Tennessee Tech University is collaborating with the University of Louisville, Sinclair Community College, National Resource Center for Materials Technology Education, Oak Ridge National Laboratory, and industry in the development of cutting-edge and multi-dimensional educational modules and activities for instructors. Developed materials are presented to 30+ instructors through intensive two-day AM Studios every year. While instructors learn the latest trends and technologies in AM, they also grasp the ABET Student Outcomes and Continuous Improvement. This paper reports the current practices made in these studios and feedback received from the instructors.more » « less
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