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Šaric-Grgic, Ines; Grubišic, Ani; Šeric, Ljiljana; Robinson, Timothy J. – International Journal of Distance Education Technologies, 2020
The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning…
Descriptors: Learning Analytics, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Undergraduate Students
Macarini, Luiz Antonio; Lemos dos Santos, Henrique; Cechinel, Cristian; Ochoa, Xavier; Rodés, Virgínia; Pérez Casas, Alén; Lucas, Pedro Pablo; Maya, Ricardo; Alonso, Guillermo Ettlin; Díaz, Patricia – Interactive Learning Environments, 2020
The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system,…
Descriptors: Program Implementation, Foreign Countries, Learning Analytics, Secondary School Students
Floris, Francesco; Marchisio, Marina; Sacchet, Matteo; Rabellino, Sergio – International Association for Development of the Information Society, 2020
Open Online Courses can serve different purposes: in the case of Orient@mente at the University of Torino, they aim at facilitating the transition from secondary to tertiary education with automatic evaluation tests that students can try in order to understand their capabilities in - and their attitude towards - certain disciplines, and with…
Descriptors: Learning Analytics, Academic Failure, Universities, Student Adjustment
Er, Erkan – Online Submission, 2022
Time management is an important self-regulation strategy that can improve student learning and lead to higher performance. Students who can manage their time effectively are more likely to exhibit consistent engagement in learning activities and to complete course assignments in a timely manner. Well planning of the study time is an essential part…
Descriptors: Programming, Time Management, Computer Science Education, Integrated Learning Systems
Hernández-Lara, Ana Beatriz; Perera-Lluna, Alexandre; Serradell-López, Enric – Education & Training, 2021
Purpose: With the growth of digital education, students increasingly interact in a variety of ways. The potential effects of these interactions on their learning process are not fully understood and the outcomes may depend on the tool used. This study explores the communication patterns and learning effectiveness developed by students using two…
Descriptors: Game Based Learning, Learning Analytics, Computer Mediated Communication, Asynchronous Communication
Wen, Yun; Song, Yanjie – Educational Technology & Society, 2021
Learning analytics (LA) has been increasingly using in teaching and learning. However, in the field of applied linguistics, the use of LA has only begun to touch the surface. There is a need for understanding how LA and learning design (LD) influence each other and provide useful information to language teachers in the context of specific courses…
Descriptors: Foreign Countries, Learning Analytics, Cooperative Learning, Second Language Learning
Jitpaisarnwattana, Napat; Reinders, Hayo; Darasawang, Pornapit – Online Learning, 2021
In the last decade, there has been a great deal of interest in language MOOCs (LMOOCs) and their potential to offer learning opportunities for large audiences, including those in disadvantaged communities. However, experiences and research have shown MOOCs to suffer from several challenges. Chief among these have been low participation and…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Second Language Learning
Holmes, Wayne; Nguyen, Quan; Zhang, Jingjing; Mavrikis, Manolis; Rienties, Bart – Distance Education, 2019
There has been a growing interest in how teaching might be informed by "learning design" (LD), with a promising method for investigating LD being offered by the emerging field of "learning analytics" (LA). In this study, we used a novel LA for LD methodology to investigate the implementation of LD in an online distance learning…
Descriptors: Learning Analytics, Instructional Design, Electronic Learning, Distance Education
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Kohnke, Lucas; Foung, Dennis; Chen, Julia – Educational Technology & Society, 2023
This study investigated how English learners complete multimodal formative quizzes. Participants included 17,950 students enrolled in a mandatory English for Academic Purposes course at a university in Hong Kong. We retrieved data from Blackboard, a learning management system, and conducted a two-step cluster analysis to examine student…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Foreign Countries
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Yuyus Saputra; Fuad Abdullah – MEXTESOL Journal, 2023
Language learning engagement has awakened interest in recent decades. This has taken place because engagement enables students to perform physical and mental, goal-directed, and purpose-driven activities. Unfortunately, keeping students emotionally engaged during Emergency Remote Teaching (ERT) remains under-researched. Therefore, this study…
Descriptors: Distance Education, Emotional Response, English (Second Language), Second Language Instruction
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
Tan, Sabine; Wiebrands, Michael; O'Halloran, Kay; Wignell, Peter – Technology, Pedagogy and Education, 2020
This paper presents the findings from a case study which explores how students engage with learning materials mediated through 360-degree panoramic videos. The case study extends findings from a project which developed an online platform for viewing and annotating 360-degree videos, and for providing data analytics (heatmaps, viewpoint tracking…
Descriptors: Learner Engagement, Video Technology, Learning Analytics, Instructional Materials
Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses

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