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Showing 1 to 15 of 51 results Save | Export
Ottenad, Autumn H. – ProQuest LLC, 2023
This research endeavors to investigate the factors that influence satisfaction with online learning among secondary students in hybrid or blended environments in the United States. With a focus on social-emotional learning and digital citizenship, the study begins the exploration and the impact of teacher interactions, teaching presence,…
Descriptors: Predictor Variables, Secondary School Students, Student Satisfaction, Electronic Learning
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Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
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Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
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Elissa Dwi Lestari; Riatun Riatun – Cogent Education, 2024
Indonesian higher education rarely employed e-learning until COVID-19. Many students tried online learning for the first time during the pandemic. After the pandemic ended in 2022, universities switched to blended learning, but student adaptation, system integration, and learning effectiveness remain challenges. This study examines these…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Blended Learning
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Gardner, Alexander C.; Maietta, Heather N.; Gardner, Philip D.; Perkins, Niki – American Journal of Distance Education, 2022
This study examines the selection of online course taking by adult learners. Specifically, this study evaluates the relationship between adult learner characteristics and their choice of online, hybrid, or all in-class programs to identify emerging trends in course-taking preferences. Using survey data from 7,861 adult students age 24 and older…
Descriptors: Online Courses, College Students, Adult Students, Student Characteristics
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Ayyanathan, N. – Shanlax International Journal of Education, 2022
Effective engagement and monitoring of students' online self-learning capacity and application of their acquired knowledge in the final year project is a challenging task for the educators worldwide. The author builds an evaluation framework to assess the stage-wise performance of students in this undertaken project. The primary objective of this…
Descriptors: Learning Analytics, Taxonomy, Student Projects, Active Learning
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Christina Shane-Simpson; Rita Obeid; Manna Prescher – Teaching of Psychology, 2024
Background: Student perceptions of inclusion have been predicted by rapport, and belongingness in face-to-face courses, although these relationships have not been studied across course delivery formats. Objective: This study clarified relationships among course multimedia characteristics, student--professor rapport, instructor and student…
Descriptors: Multimedia Materials, Teacher Student Relationship, Learner Engagement, Educational Environment
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Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – Educational Technology & Society, 2021
Precision education requires two equally important conditions: accurate predictions of academic performance based on early observations of the learning process and the availability of relevant educational intervention options. The field of learning analytics (LA) has made important contributions to the realisation of the first condition,…
Descriptors: Learning Analytics, Individualized Instruction, Blended Learning, Electronic Learning
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Ilgaz, Hale; Gülbahar, Yasemin – Open Praxis, 2020
Over the past several years, online learning has become an extremely popular research topic. Nevertheless, there continues to be a need for a holistic approach when examining online learning. To examine issues related to online learning as well as the effects caused to online learners; researchers in this study developed and tested a model that…
Descriptors: Electronic Learning, Preferences, Learning Readiness, Distance Education
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Pérez-Pérez, Marta; Serrano-Bedia, Ana M.; García-Piqueres, Gema – Journal of Further and Higher Education, 2020
Learning Management Systems (LMSs) have a strong effect on the teaching-learning process in higher education. However, specific research on the factors that affect students' satisfaction and their perceptions of learning outcomes derived from Moodle use is still scarce. Therefore, this study uses the theoretical underpinnings of the Technology…
Descriptors: Student Satisfaction, Outcomes of Education, Integrated Learning Systems, Electronic Learning
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Wu, Fati; Lai, Song – Distance Education, 2019
Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approaches to establish predictive models using personality traits. Results showed that, for students with high OE and low extraversion, and students who are…
Descriptors: Personality Traits, Learning Analytics, Foreign Countries, At Risk Students
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Andrew Camp; Alison Johnson; Gema Zamarro – Journal of School Choice, 2024
During the 2020-21 school year, Black students were less likely to learn in person than white students. We examine whether this difference persisted as the pandemic progressed. We find that the rate of in-person learning increased in 2021-22 but remained lower for Black students compared to white students. While several factors helped explain…
Descriptors: Racial Differences, Ethnicity, Pandemics, COVID-19
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Katsarou, Eirene – Journal of Education and e-Learning Research, 2021
Low computer anxiety (CA) and high computer self-efficacy (CSE) levels are important affective factors that promote students' academic success in the current digital era. In an effort to understand their role in successful and effective participation in online learning environments for language learning purposes, the study investigated their…
Descriptors: Anxiety, Computer Attitudes, Computer Literacy, Second Language Learning
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Umek, Lan; Tomaževic, Nina; Aristovnik, Aleksander; Keržic, Damijana – International Association for Development of the Information Society, 2018
In the paper, we present the results of a case study conducted at Faculty of Administration, University of Ljubljana among 1st year undergraduate students. We investigated the correlations between students' activities in the e-classroom and grades at the final exam. The sample included 92 participants who took part at the final exam in the course…
Descriptors: Foreign Countries, College Freshmen, Electronic Learning, Learning Activities
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