Donald R. McClure, Emmanuel O. Ojo, Mary Beth Schaefer, David Bell, S. Abrams, A. Onwuegbuzie
{"title":"新冠肺炎大流行期间纽约市大学生面临的在线学习挑战:一项混合方法研究","authors":"Donald R. McClure, Emmanuel O. Ojo, Mary Beth Schaefer, David Bell, S. Abrams, A. Onwuegbuzie","doi":"10.29034/ijmra.v13n2editorial4","DOIUrl":null,"url":null,"abstract":"This mixed methods research study explored how emergency remote teaching and learning, enacted in March 2020 due to the COVID-19 pandemic, impacted university students. We asked: What, if any, challenges did students face that hindered their ability to learn successfully online? In Spring 2021, a Qualtrics survey was emailed to 1,481 undergraduate and graduate students at a university in New York City, and students were asked to forward the survey to friends in and beyond the university. A total of 254 (17.2%) responded; 59.6% were graduate students and 69.9% were full-time students. The survey had closed- and open-ended items. The open-ended item analyzed in the current study asked students to identify any online learning challenges. Responses were analyzed via a fully integrated, four-phase mixed methods analysis: constant comparison; a crossover mixed analysis by two coders that yielded an intensity-based, inter-respondent matrix of themes; descriptive-based quantitizing; and inferential-based quantitizing via a canonical correlation analysis and Fisher’s Exact Tests. The most prevalent findings were No Challenges (34.26%), Living Environment (25.93%), Technology-Related (20.37%), and Overall Learning Experiences (19.44%). Students experiencing No Challenges were statistically significantly more likely to report that they had full access to their own computer (p = .006) and reliable Internet connection (p = .001). For Living Environment, students noted major life issues that created challenges: sickness, crowded spaces, and multiple jobs, including serving as a caregiver. Technology-Related findings revealed student dissatisfaction with the online learning experience. For Overall Learning Experiences, students described their need for interactive learning experiences and responsive professors. A key conclusion is that higher education institutions should create more meaningful student learning experiences, develop student-centered pedagogies, and provide greater equity in university learning communities.","PeriodicalId":89571,"journal":{"name":"International journal of multiple research approaches","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Online Learning Challenges Experienced by University Students in the New York City Area During the COVID-19 Pandemic: A Mixed Methods Study\",\"authors\":\"Donald R. McClure, Emmanuel O. Ojo, Mary Beth Schaefer, David Bell, S. Abrams, A. Onwuegbuzie\",\"doi\":\"10.29034/ijmra.v13n2editorial4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This mixed methods research study explored how emergency remote teaching and learning, enacted in March 2020 due to the COVID-19 pandemic, impacted university students. We asked: What, if any, challenges did students face that hindered their ability to learn successfully online? In Spring 2021, a Qualtrics survey was emailed to 1,481 undergraduate and graduate students at a university in New York City, and students were asked to forward the survey to friends in and beyond the university. A total of 254 (17.2%) responded; 59.6% were graduate students and 69.9% were full-time students. The survey had closed- and open-ended items. The open-ended item analyzed in the current study asked students to identify any online learning challenges. Responses were analyzed via a fully integrated, four-phase mixed methods analysis: constant comparison; a crossover mixed analysis by two coders that yielded an intensity-based, inter-respondent matrix of themes; descriptive-based quantitizing; and inferential-based quantitizing via a canonical correlation analysis and Fisher’s Exact Tests. The most prevalent findings were No Challenges (34.26%), Living Environment (25.93%), Technology-Related (20.37%), and Overall Learning Experiences (19.44%). Students experiencing No Challenges were statistically significantly more likely to report that they had full access to their own computer (p = .006) and reliable Internet connection (p = .001). For Living Environment, students noted major life issues that created challenges: sickness, crowded spaces, and multiple jobs, including serving as a caregiver. Technology-Related findings revealed student dissatisfaction with the online learning experience. For Overall Learning Experiences, students described their need for interactive learning experiences and responsive professors. 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Online Learning Challenges Experienced by University Students in the New York City Area During the COVID-19 Pandemic: A Mixed Methods Study
This mixed methods research study explored how emergency remote teaching and learning, enacted in March 2020 due to the COVID-19 pandemic, impacted university students. We asked: What, if any, challenges did students face that hindered their ability to learn successfully online? In Spring 2021, a Qualtrics survey was emailed to 1,481 undergraduate and graduate students at a university in New York City, and students were asked to forward the survey to friends in and beyond the university. A total of 254 (17.2%) responded; 59.6% were graduate students and 69.9% were full-time students. The survey had closed- and open-ended items. The open-ended item analyzed in the current study asked students to identify any online learning challenges. Responses were analyzed via a fully integrated, four-phase mixed methods analysis: constant comparison; a crossover mixed analysis by two coders that yielded an intensity-based, inter-respondent matrix of themes; descriptive-based quantitizing; and inferential-based quantitizing via a canonical correlation analysis and Fisher’s Exact Tests. The most prevalent findings were No Challenges (34.26%), Living Environment (25.93%), Technology-Related (20.37%), and Overall Learning Experiences (19.44%). Students experiencing No Challenges were statistically significantly more likely to report that they had full access to their own computer (p = .006) and reliable Internet connection (p = .001). For Living Environment, students noted major life issues that created challenges: sickness, crowded spaces, and multiple jobs, including serving as a caregiver. Technology-Related findings revealed student dissatisfaction with the online learning experience. For Overall Learning Experiences, students described their need for interactive learning experiences and responsive professors. A key conclusion is that higher education institutions should create more meaningful student learning experiences, develop student-centered pedagogies, and provide greater equity in university learning communities.