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Summers, Robert; Higson, Helen; Moores, Elisabeth – Assessment & Evaluation in Higher Education, 2023
The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with…
Descriptors: Disadvantaged, Learner Engagement, COVID-19, Pandemics
Arantes, Janine Aldous – Australian Educational Researcher, 2023
Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…
Descriptors: Foreign Countries, Elementary Secondary Education, Electronic Learning, Artificial Intelligence
Rico Putra Pradana; Ave Adriana Pinem; Putu Wuri Handayani – Journal of Educators Online, 2024
This study uses self-determination theory to examine the effect of gamification on the students' behavioral, emotional, and cognitive engagement in online discussion forums by providing more instructor badges than automatic badges and using a quasi-experimental one-group pretest-posttest design. Behavioral engagement was measured using the number…
Descriptors: Learner Engagement, Game Based Learning, Scoring Rubrics, Comparative Analysis
Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gasevic, Dragan – Journal of Learning Analytics, 2021
The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and…
Descriptors: Learning Analytics, Program Implementation, Trust (Psychology), Higher Education
Maslo, Irina – Journal of Educational Sciences, 2021
In the context of the smart specialization of national economies and the creation of smart societies in the digital age, general, vocational, adult, and higher education reforms have a decisive horizontal effect on the transition to smart education. A smart pedagogical approach that has evolved in recent years is frequently seen as merely focused…
Descriptors: Educational Philosophy, Educational Change, Educational Technology, Learning Analytics
Ladino Nocua, Andrea Catalina; Cruz Gonzalez, Joan Paola; Castiblanco Jimenez, Ivonne Angelica; Gomez Acevedo, Juan Sebastian; Marcolin, Federica; Vezzetti, Enrico – Education Sciences, 2021
Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…
Descriptors: Learner Engagement, Cognitive Processes, Metabolism, Physiology
Darko, Charles – SAGE Open, 2021
"Blackboard" is an important Learning Management System (LMS) employed at most higher education institutions to engage and interact with students during their studies. Students within Material Science and Engineering (MSE) often use these LMS's to absorb mathematical derivations, scientific information and submit coursework tasks. In…
Descriptors: Integrated Learning Systems, Correlation, Grades (Scholastic), Academic Achievement
Lawrence, Jill; Brown, Alice; Redmond, Petrea; Maloney, Suzanne; Basson, Marita; Galligan, Linda; Turner, Joanna – Student Success, 2021
Low levels of online student engagement impact negatively on student success and adversely affect attrition. Course learning analytics data (CLAD), combined with nudging initiatives, have emerged as strategies for engaging online students. This article presents a mixed method case study involving a staged intervention strategy focussing on the…
Descriptors: Learner Engagement, Intervention, Online Courses, Learning Analytics
Foimapafisi, Tuamanaia; Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning assessment data are used in six sub-Saharan African countries. This Information Sheet…
Descriptors: International Organizations, Foreign Countries, Educational Policy, Policy Formation
Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Journal of Learning Analytics, 2020
Learning analytics (LA) constitutes a key opportunity to support learning design (LD) in blended learning environments. However, details as to how LA supports LD in practice and information on teacher experiences with LA are limited. This study explores the potential of LA to inform LD based on a one-semester undergraduate blended learning course…
Descriptors: Learning Analytics, Instructional Design, Decision Making, Blended Learning
Eichmann, Beate; Greiff, Samuel; Naumann, Johannes; Brandhuber, Liene; Goldhammer, Frank – Journal of Computer Assisted Learning, 2020
In this explorative study, we investigate how sequences of behaviour are related to success or failure in complex problem-solving (CPS). To this end, we analysed log data from two different tasks of the problem-solving assessment of the Programme for International Student Assessment 2012 study (n = 30,098 students). We first coded every…
Descriptors: Behavior Patterns, Difficulty Level, Problem Solving, Success
De Laet, Tinne; Millecamp, Martijn; Ortiz-Rojas, Margarita; Jimenez, Alberto; Maya, Ricardo; Verbert, Katrien – British Journal of Educational Technology, 2020
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption…
Descriptors: Learning Analytics, Faculty Advisers, Teacher Student Relationship, Higher Education
Michaeli, Shiran; Kroparo, Dror; Hershkovitz, Arnon – International Review of Research in Open and Distributed Learning, 2020
Education dashboards are a means to present various stakeholders with information about learners, most commonly regarding the learners' activity in online learning environments. Typically, an education dashboard for teachers will include some type of visual aids that encourage teachers to reflect upon learner behavior patterns and to act in…
Descriptors: Learning Analytics, Visual Aids, Decision Making, Elementary School Teachers

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