Predicting student satisfaction and perceived learning within online learning environments
By Emtinan Alqurashi. Distance Education, 2018
608 citations recorded by the source corpus.
ABSTRACT Student satisfaction is used as one of the key elements to evaluate online courses, while perceived learning is considered as an indicator of learning. This study aimed to explore how online learning self-efficacy (OLSE), learner–content interaction (LCI), learner–instructor interaction (LII), and learner–learner interaction (LLI) can predict student satisfaction and perceived learning. A total of 167 students participated in this study. Regression results revealed that the overall model with all four predictor variables (OLSE, LCI, LII, and LLI) was significantly predictive of satisfaction and perceived learning. The study found that LCI was the strongest and most significant predictor of student satisfaction, while OLSE was the strongest and most significant predictor of perceived learning. However, LLI was not predictive of student satisfaction and perceived learning. This study suggests that instructors employ strategies that enhance students’ OLSE, LCI, and LII. Research is needed to understand how LLI fosters student learning and satisfaction.
Subfields: Developmental and Educational Psychology, Education, Social Psychology
View Paper: https://www.semanticscholar.org/paper/73710a81889b35c1be6f651ca52820a51acb9fb3
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In Developmental and Educational Psychology
In Education
In Social Psychology
Citations in the corpus
- Predicting academic success in higher education: literature review and best practices (2020, unknown): “…(Xing, 2019), retention (Parker, Hogan, Eastabrook, Oke, & Wood, 2006), success (Martins, Miguéis, Fonseca, & Alves, 2019; Richard-Eaglin, 2017), satisfaction (Alqurashi, 2019), achievement (Willems, Coertjens, Tambuyzer, & Donche, 2018), and dropout rate (Pérez, Castellanos, & Correal, 2018).”
- Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India (2020, unknown): “The perception of the students towards online learning is mostly positive, as evident from the existing works (Alqurashi, 2019; Arias, Naffah, & Hernandez, 2019; Rodrigues, Almeida, Figueiredo, & Lopes, 2019).”
- Determinants of Students’ Perceived Learning Outcome and Satisfaction in Online Learning during the Pandemic of COVID19 (2020, background): “The results of this study are in line with the findings of Moore (2014); Sebastianelli, Swift, and Tamimi (2015); Alqurashi (2019) and Ku et al. (2013) which concluded that interaction between instructor and learner is an important determinant of student perceived learning and satisfaction. Student ”