Understanding self-regulation, achievement emotions, and mindset of undergraduates in emergency remote teaching: a latent profile analysis


ATMAN USLU N., Durak H. Y.

INTERACTIVE LEARNING ENVIRONMENTS, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1080/10494820.2022.2129391
  • Journal Name: INTERACTIVE LEARNING ENVIRONMENTS
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, EBSCO Education Source, Educational research abstracts (ERA), ERIC (Education Resources Information Center), INSPEC, Psycinfo
  • Dokuz Eylül University Affiliated: No

Abstract

Due to the threat of COVID-19, many educational institutions have made urgent decisions about how to continue teaching and learning, taking their courses online. The transition from face-to-face teaching to Emergency remote teaching (ERT) has made it difficult for individuals to organize their learning processes independently. Therefore, in this period, it is expected that learner profiles will differ from traditional online learning, and there are uncertainties in this regard. The aim of this study is to examine learner profiles in ERT according to online self-regulation (SR) strategies, achievement emotion, and mindset. The study group of this research consists of 659 university students. Latent profile analysis, one-way ANOVA, and multinomial logistic regression analysis (MLA) were used in the analysis of the data. As a result of the research, four profiles emerged: (a) low SR, negative type in emotions, and low growth mindset beliefs, (b) low to moderate SR, positive type in emotion and high growth mindset belief, and (c) moderate to high SR, diversified type in emotion and fixed mindset, (d) high SR, positive type in emotion, growth mindset beliefs. MLA findings show that SR strategies, enjoyment, anxiety, gender, age, and GPA affect differences in predicting several profile memberships of learners.