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Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
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Paul Bazelais; Gurinder Binner; Tenzin Doleck – Interactive Learning Environments, 2024
As an important tool for STEM education, online labs have gained significant research attention. However, our understanding of online labs is limited by the inattention to the factors that contribute to the acceptance of online labs. This study adopts the UTAUT model to investigate the salient determinants of use of online labs. We test the…
Descriptors: Foreign Countries, High School Students, College Bound Students, Physics
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Solórzano-García, Marta; Navio-Marco, Julio; Laguia, Ana – Interactive Learning Environments, 2022
This paper looks in more depth at an analysis of MOOC students' social entrepreneurial intentions, their profiles and motivations, especially as regards the tensions between internal and external motivations and the influence of the environment on the decision to set up a social enterprise. It also offers insights into online education for social…
Descriptors: MOOCs, Entrepreneurship, Intention, Student Characteristics
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Grau-Valldosera, Josep; Minguillón, Julià; Blasco-Moreno, Anabel – Interactive Learning Environments, 2019
One of online distance learning's positive attributes is its flexibility. However, the possibility of engaging in periods of non-enrollment (breaks) usually ends in students dropping out. In this paper, the intention to continue of those students who have not enrolled in the second semester is analyzed, adopting a long-term program perspective.…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Intention
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Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction