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Lin, Chi-Jen; Mubarok, Husni – Educational Technology & Society, 2021
One of the biggest challenges for EFL (English as Foreign Language) students to learn English is the lack of practicing environments. Although language researchers have attempted to conduct flipped classrooms to increase the practicing time in class, EFL students generally have difficulties interacting with peers and teachers in English in class.…
Descriptors: Learning Analytics, Cognitive Mapping, Artificial Intelligence, Computer Mediated Communication
Choi, Ikkyu; Deane, Paul – Language Assessment Quarterly, 2021
Keystroke logs provide a comprehensive record of observable writing processes. Previous studies examining the keystroke logs of young L1 English writers performing experimental writing tasks have identified writing processes features predictive of the quality of responses. Contrarily, large-scale studies on the dynamic and temporal nature of L2…
Descriptors: Writing Processes, Writing Evaluation, Computer Assisted Testing, Learning Analytics
Papamitsiou, Zacharoula; Filippakis, Michail E.; Poulou, Marilena; Sampson, Demetrios; Ifenthaler, Dirk; Giannakos, Michail – Smart Learning Environments, 2021
In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…
Descriptors: Multiple Literacies, Instructional Design, Tutors, Electronic Learning
Karaoglan Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Innovations in Education and Teaching International, 2021
In this research, the effect of the use of learning analytics (LA) based feedback as a metacognitive tool on the learners' transactional distance and motivation was examined. The research was carried out according to experimental design and was carried out on 81 university students. The students were randomly assigned to the experimental and…
Descriptors: Learning Analytics, Metacognition, Student Motivation, College Freshmen
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Altinay, Fahriye; Ossiannilsson, Ebba; Altinay, Zehra; Dagli, Gokmen – International Journal of Information and Learning Technology, 2021
Purpose: This research study aims to evaluate the capacity and sustainability of an accessible society as a smart society and services with the help of MOOCs and assistive technologies within the learning analytics framework. Design/methodology/approach: Qualitative research was employed in this research that interview forms were conducted to get…
Descriptors: Access to Computers, Accessibility (for Disabled), Assistive Technology, MOOCs
Williamson, Kimberly; Kizilcec, René F. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms such as Bayesian Knowledge Tracing (BKT) can provide students and teachers with helpful information about their progress towards learning objectives. Despite the popularity of BKT in the research community, the algorithm is not widely adopted in educational practice. This may be due to skepticism from users and…
Descriptors: Bayesian Statistics, Learning Processes, Computer Software, Learning Analytics
Presnall, Biljana – Advanced Distributed Learning Initiative, 2021
The Maturing ADL in Multinational Exercises (MADLx) project aims to design and develop a Return on Investment (ROI) analytics dashboard for use in multinational and coalition exercises. A key component of creating the dashboard was knowing the large and varied group of exercise stakeholders' requirements for learning analytics and associated…
Descriptors: Stakeholders, Learning Analytics, Outcomes of Education, Investment
Leigh Powell – ProQuest LLC, 2021
Sources of information are growing as a result of the changing technology landscape in our learning environments. This presents an opportunity to leverage information in new ways to benefit students and faculty by illuminating different aspects of the practice of teaching. For this information to have an impact, it is first necessary to understand…
Descriptors: Teaching Methods, Higher Education, College Faculty, Learning Analytics
Christina Rouse – ProQuest LLC, 2021
Analytics are expensive and time consuming. The unaddressed problem was the extent to which type (2-year vs. 4-year) and affiliation (public vs. private) of higher education institutions moderated analytics use in mediating the relationships between knowledge assets, institutional agility, and performance. This moderated mediation study…
Descriptors: Learning Analytics, Institutional Characteristics, Performance, Colleges
Kietnawin Sridhanyarat; Supong Tangkiengsirisin – LEARN Journal: Language Education and Acquisition Research Network, 2025
The purpose of this study is two-fold: 1) to investigate the effects of Data-Driven Learning (DDL) framed within the Involvement Load Hypothesis (ILH) on Thai learners' use of academic collocations and 2) to examine how Thai learners utilized the involvement load (IL) components (need, search, and evaluation) to master academic collocations. It is…
Descriptors: Learning Analytics, Cognitive Ability, Language Tests, Phrase Structure
Montse Guitert Catasús; Teresa Romeu Fontanillas; Juliana E. Raffaghelli; Juan Pedro Cerro Martínez – Journal of Learning Analytics, 2025
This article systematically reviews the role of learning analytics (LA) in collaborative learning, particularly exploring how it can empower both teachers and students. Based on the analysis of 87 articles, selected by adopting the PRISMA workflow, the study discusses the intersection of LA with collaborative learning (CL), emphasizing the…
Descriptors: Learning Analytics, Teacher Empowerment, Student Empowerment, Cooperative Learning
Michael Sony; Kochu Therisa Beena Karingada – Journal of Applied Research in Higher Education, 2025
Purpose: Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the…
Descriptors: Success, Educational Practices, Student Centered Learning, Technology Uses in Education
Saint, John; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…
Descriptors: Undergraduate Students, Engineering Education, Learning Analytics, Learning Strategies
Emerson, Andrew; Cloude, Elizabeth B.; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2020
A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning…
Descriptors: Learning Analytics, Game Based Learning, Play, Eye Movements

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