skip to main content


Title: Leveraging mathematics software data to understand student learning and motivation during the COVID-19 pandemic
School closures during the COVID-19 pandemic presented a threat to student learning and motivation. Suspension of achievement testing created a barrier to understanding the extent of this threat. Leveraging data from a mathematics learning software as a substitute assessment, we found that students had lower engagement with the software during the pandemic, but students who did engage had increased performance. Students also experienced changes in motivation: lowered mathematics expectancy, but also lower emotional cost for mathematics. Results illustrate the potential and pitfalls of using educational technology data in lieu of traditional assessments and draw attention to access and motivation during at-home schooling.  more » « less
Award ID(s):
2000868
NSF-PAR ID:
10273121
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Journal of Research on Technology in Education
ISSN:
1539-1523
Page Range / eLocation ID:
1 to 38
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ABSTRACT Test anxiety is a common experience shared by college students and is typically investigated in the context of traditional, face-to-face courses. However, the onset of the COVID-19 pandemic resulted in the closure of universities, and many students had to rapidly shift to and balance the challenges of online learning. We investigated how the shift to online learning during the pandemic impacted trait (habitual) and state (momentary) test anxiety and whether there was variation across different demographic groups already vulnerable to performance gaps in science, technology, engineering, and mathematics (STEM) courses. Quantitative analyses revealed that trait and state test anxiety were lower in Spring 2020 (COVID semester) than in Spring 2019 and were higher overall in women than men. We did not find a difference in either trait or state anxiety in first-generation students or among persons excluded because of ethnicity or race. Qualitative analyses revealed that student priorities shifted away from coursework during Spring 2020. While students initially perceived the shift to online learning as beneficial, 1 month after the shift, students reported more difficulties studying and completing their coursework. Taken together, these results are the first to compare reports of test anxiety during a traditional, undisrupted semester to the semester where COVID-19 forced a sudden transition online. 
    more » « less
  2. Miller, Eva (Ed.)
    Professor-student interactions influence student learning experiences and performance. The COVID pandemic transformed STEM learning environments across U.S. institutions; however, its impact on STEM professor-student interactions and STEM student learning experiences are yet to be understood. The purpose of this nationwide inductive research study is to examine the impact of COVID-19 on professor-student interactions, undergraduate STEM student learning, and STEM student performance. To achieve this, a qualitative method is adopted and purposive sampling is utilized to enroll 63 STEM students from six U.S institutions. Data is collected through one-hour ZOOM interviews, giving students the opportunity to narrate their STEM learning experiences and performance during the COVID-19 pandemic. The data is analyzed using the NVIVO qualitative analysis software for coding, categorizing, memo-ing, and constant comparative analysis. Results reveal emergent codes on the STEM professor-student interactions to include professor leniency, caring attitude, availability, communication, instruction style, teaching resources, technology literacy, camera on/off requirements, live/recorded sessions, time zone, and student workload. Limited positive impacts on student learning include improved familiarity with alternate STEM learning resources and development of virtual learning soft skills. Negative learning experiences are extensive and coded as: poor comprehension, keeping up, overdrive, isolation, lowered motivation, schedule conflicts, and anxiety. Consequently, students made adaptation decisions coded as: alternate learning sources, refined scheduling, community support, preferring teaching assistants, working out, reporting professors, procrastination, and tuning out. While proactive students and students with prior virtual learning experiences improved or maintained their grades, many students opted for the pass/fail grade or complete withdrawal due to poor STEM learning and performance. Findings indicate that while STEM professors were adjusting to modified teaching environments, many STEM students were developing a sense of independence, self-study, and peer reliance to improve their own STEM understanding and performance with minimal reliance on STEM professors. Lessons learned and best practices for professor-student interactions and student learning are recommended for potential replication in STEM communities for improved adaptability and resiliency during future pandemics. Future research will focus on measuring the effect of best practices on professor-student interactions, student learning experiences, and performance. 
    more » « less
  3. Background/Context:

    Computer programming is rarely accessible to K–12 students, especially for those from culturally and linguistically diverse backgrounds. Middle school age is a transitioning time when adolescents are more likely to make long-term decisions regarding their academic choices and interests. Having access to productive and positive knowledge and experiences in computer programming can grant them opportunities to realize their abilities and potential in this field.

    Purpose/Focus of Study:

    This study focuses on the exploration of the kind of relationship that bilingual Latinx students developed with themselves and computer programming and mathematics (CPM) practices through their participation in a CPM after-school program, first as students and then as cofacilitators teaching CPM practices to other middle school peers.

    Setting:

    An after-school program, Advancing Out-of-School Learning in Mathematics and Engineering (AOLME), was held at two middle schools located in rural and urban areas in the Southwest. It was designed to support an inclusive cultural environment that nurtured students’ opportunities to learn CPM practices through the inclusion of languages (Spanish and English), tasks, and participants congruent to students in the program. Students learned how to represent, design, and program digital images and videos using a sequence of 2D arrays of hexadecimal numbers with Python on a Raspberry Pi computer. The six bilingual cofacilitators attended Levels 1 and 2 as students and were offered the opportunity to participate as cofacilitators in the next implementation of Level 1.

    Research Design:

    This longitudinal case study focused on analyzing the experiences and shifts (if any) of students who participated as cofacilitators in AOLME. Their narratives were analyzed collectively, and our analysis describes the experiences of the cofacilitators as a single case study (with embedded units) of what it means to be a bilingual cofacilitator in AOLME. Data included individual exit interviews of the six cofacilitators and their focus groups (30–45 minutes each), an adapted 20-item CPM attitude 5-point Likert scale, and self-report from each of them. Results from attitude scales revealed cofacilitators’ greater initial and posterior connections to CPM practices. The self-reports on CPM included two number lines (0–10) for before and after AOLME for students to self-assess their liking and knowledge of CPM. The numbers were used as interview prompts to converse with students about experiences. The interview data were analyzed qualitatively and coded through a contrast-comparative process regarding students’ description of themselves, their experiences in the program, and their perception of and relationship toward CPM practices.

    Findings:

    Findings indicated that students had continued/increased motivation and confidence in CPM as they engaged in a journey as cofacilitators, described through two thematic categories: (a) shifting views by personally connecting to CPM, and (b) affirming CPM practices through teaching. The shift in connecting to CPM practices evolved as students argued that they found a new way of learning mathematics, in that they used mathematics as a tool to create videos and images that they programmed by using Python while making sense of the process bilingually (Spanish and English). This mathematics was viewed by students as high level, which in turned helped students gain self-confidence in CPM practices. Additionally, students affirmed their knowledge and confidence in CPM practices by teaching them to others, a process in which they had to mediate beyond the understanding of CPM practices. They came up with new ways of explaining CPM practices bilingually to their peers. In this new role, cofacilitators considered the topic and language, and promoted a communal support among the peers they worked with.

    Conclusions/Recommendations:

    Bilingual middle school students can not only program, but also teach bilingually and embrace new roles with nurturing support. Schools can promote new student roles, which can yield new goals and identities. There is a great need to redesign the school mathematics curriculum as a discipline that teenagers can use and connect with by creating and finding things they care about. In this way, school mathematics can support a closer “fit” with students’ identification with the world of mathematics. Cofacilitators learned more about CPM practices by teaching them, extending beyond what was given to them, and constructing new goals that were in line with a sophisticated knowledge and shifts in the practice. Assigned responsibility in a new role can strengthen students’ self-image, agency, and ways of relating to mathematics.

     
    more » « less
  4. The COVID-19 pandemic generated worldwide negative effects on college students’ stress levels and motivation to learn. This research focuses on the lack of development of a sense of belonging in engineering students due to online classes during the pandemic and possible differences experiencing online classes between students from different contexts and cultures. Data were collected from 88 Mexican and 139 U.S. engineering students during the Spring 2021 semester using ten survey items asking students’ perceptions of the effects of taking online courses during the COVID-19 pandemic on their sense of belonging in their major. Quantitative and qualitative analyses were conducted, aiming to determine the effects of taking online classes on students’ sense of belonging in engineering. Findings stressed the poor sense of belonging that engineering students may have after taking online classes during the COVID-19 pandemic when they missed opportunities to develop meaningful relationships with their peers and professors due to the lack of good communication. Consequently, students had uncertainties about successful learning during the pandemic in both Mexico and the U.S. Thus, activities such as accessible office hours, study groups, and meetings with mentors and tutors should be promoted to help students recover from the lack of a sense of belonging in the engineering major generated during online classes due to the COVID-19 pandemic.

     
    more » « less
  5. Benetreau, Yann (Ed.)
    To advance understanding of doctoral student experiences and the high attrition rates among Science, Technology, Engineering, and Mathematics (STEM) doctoral students, we developed and examined the psychological profiles of different types of doctoral students. We used latent class analysis on self-reported psychological data relevant to psychological threat from 1,081 incoming doctoral students across three universities and found that the best-fitting model delineated four threat classes: Lowest Threat , Nonchalant , Engaged/Worried , and Highest Threat . These classes were associated with characteristics measured at the beginning of students’ first semester of graduate school that may influence attrition risk, including differences in academic preparation (e.g., amount of research experience), self-evaluations and perceived fit (e.g., sense of belonging), attitudes towards graduate school and academia (e.g., strength of motivation), and interpersonal relations (e.g., perceived social support). Lowest Threat students tended to report the most positive characteristics and Highest Threat students the most negative characteristics, whereas the results for Nonchalant and Engaged/Worried students were more mixed. Ultimately, we suggest that Engaged/Worried and Highest Threat students are at relatively high risk of attrition. Moreover, the demographic distributions of profiles differed, with members of groups more likely to face social identity threat (e.g., women) being overrepresented in a higher threat profile (i.e., Engaged/Worried students) and underrepresented in lower threat profiles (i.e., Lowest Threat and Nonchalant students). We conclude that doctoral students meaningfully vary in their psychological threat at the beginning of graduate study and suggest that these differences may portend divergent outcomes. 
    more » « less