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Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
PLS Model Performance for Factors Influencing Student Acceptance of E-Learning Analytics Recommender
Sandhu, Kamaljeet – International Journal of Virtual and Personal Learning Environments, 2020
The aim of this article is to present the multivariate analyses results of the factors that influence students' acceptance and the continuance usage intention of e-learning analytics recommender systems in higher education institutions in Saudi Arabia. Data was collected from 353 Saudi Arabian university students via an online survey…
Descriptors: Electronic Learning, Learning Analytics, Foreign Countries, College Students
Foung, Dennis; Chen, Julia; Lin, Linda – CALICO Journal, 2022
With the outbreak of COVID-19 in 2020, many universities shifted to online teaching. However, some online instruction had already been implemented well before the pandemic. This study investigates (1) how engagement in blended CALL activities differed during the pandemic, and (2) in what ways the assessment outcomes were associated with student…
Descriptors: Blended Learning, Universities, Educational Change, COVID-19
Glenn Stockwell – Technology in Language Teaching & Learning, 2019
Despite the large amount of research that has taken place with mobile devices for language learning over the years, there are still limited conclusions that can be reached as to what contributes to sustained task engagement. A common problem that has long been seen in the CALL literature is that many tasks and activities that are reported are…
Descriptors: Task Analysis, Learner Engagement, Second Language Instruction, Second Language Learning

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