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Elif Çimsir; Meral Çapar; Ruxandra Folostina; Claudia Iuliana Iacob; Wioletta Tuszynska-Bogucka; Lidia Mirowska; Aras Bozkurt – Discover Education, 2024
This study examined the factorial composition and cultural invariance of the online learning readiness self-check (OLRSC) survey across Turkish (N = 212), Romanian (N = 207), and Polish (N = 235) college students. The results of confirmatory factor analyses (CFA) in individual samples supported the six-dimensional structure of online learning…
Descriptors: Factor Analysis, Electronic Learning, Learning Readiness, Self Evaluation (Individuals)
Miyejav, Itgel; Dorj, Badmaanyambuu; Oirov, Tserenbat; Itgel, Odmaa – Journal of University Teaching and Learning Practice, 2022
This study examines the reliability and validity of a Mongolian version of the Student Online Learning Readiness (SOLR) instrument in the Mongolian context. The instrument consists of 20 items used to evaluate technical competencies, social competencies with instructor, social competencies with classmates, and communication competencies. One…
Descriptors: Test Reliability, Test Validity, Foreign Countries, Learning Readiness
Hong, Ah Jeong; Kim, Hye Jeong – Asia-Pacific Education Researcher, 2018
This study involves the development and validation of a survey that measures college students' digital readiness for academic engagement in terms of their perceived digital competencies for academic work. Both exploratory and confirmatory analyses were employed to assess the factorial structure of the Digital Readiness for Academic Engagement…
Descriptors: College Students, Learning Readiness, Electronic Learning, Test Construction
Yu, Taeho; Richardson, Jennifer C. – Online Learning, 2015
The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…
Descriptors: Learning Readiness, Online Courses, Electronic Learning, Factor Analysis
Christensen, Rhonda; Knezek, Gerald – Journal of Digital Learning in Teacher Education, 2017
Appraisal of the readiness of teachers to accept and use mobile devices for classroom instruction is a critical step whenever an expectation exists that the devices will be used to enhance student learning. Designing professional development requires assessment of teachers' readiness and willingness to embrace mobile learning for their students.…
Descriptors: Electronic Learning, Learning Readiness, Program Validation, Adoption (Ideas)
Tagoe, Michael Ayitey; Abakah, Ellen – International Journal of Education and Development using Information and Communication Technology, 2014
The use of mobile technologies in the classroom is transforming teaching and learning in higher institutions. This study investigated University of Ghana Distance Education students' perceptions toward mobile learning. The paper using the theory of planned behaviour (TPB) explained how students' beliefs influenced students' intention to adopt…
Descriptors: Foreign Countries, Distance Education, Electronic Learning, Learning Readiness
Comer, Debra R.; Lenaghan, Janet A.; Sengupta, Kaushik – Journal of Education for Business, 2015
Because most undergraduate students are digital natives, it is widely believed that they will succeed in online courses. But factors other than technology also affect students' ability to fulfill the role of online learner. Self-reported data from a sample of more than 200 undergraduates across multiple online courses indicate that students…
Descriptors: Electronic Learning, Online Courses, Undergraduate Students, Student Role
Calma, Angelito; Webster, Beverley; Petry, Stefan; Pesina, Jenny – Australian Journal of Adult Learning, 2014
A quick polling initiative was tested in finance classes using multiple choice questions to determine whether it can improve student interaction and engagement in a large class. Students (n = 446) responded using either a smartphone app (53%) or by using pen and paper (47%). Immediate feedback was provided to students using charts that were…
Descriptors: Student Experience, Multiple Choice Tests, Questionnaires, Audience Response Systems
Hung, Min-Ling; Chou, Chien; Chen, Chao-Hsiu; Own, Zang-Yuan – Computers & Education, 2010
The purpose of this study was to develop and validate a multidimensional instrument for college students' readiness for online learning. Through a confirmatory factor analysis, the Online Learning Readiness Scale (OLRS) was validated in five dimensions: self-directed learning, motivation for learning, computer/Internet self-efficacy, learner…
Descriptors: Electronic Learning, Learning Readiness, Self Efficacy, Learning Motivation
Watkins, Ryan; Leigh, Doug; Triner, Don – Performance Improvement Quarterly, 2004
Today, e-learning is a common delivery media for education and training within many organizations. Yet, while both the supply and demand for e-learning opportunities has risen in recent years, many professionals are beginning to question whether e-learners are prepared to be successful in an online learning environment (e.g., Guglielmino &…
Descriptors: Learning Readiness, Distance Education, Online Courses, Construct Validity

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