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Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
Letitia Hewlett Roman – ProQuest LLC, 2021
Leadership strategies for school turnaround and how to prioritize improvement efforts seem to lack a clear pattern for leaders of failing schools. The purpose of this study was to determine successful leadership strategies and methods for school turnaround and how best to prioritize the efforts by surveying a panel of experts through a Delphi…
Descriptors: School Turnaround, Delphi Technique, Intervention, Leadership Role
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Hwang, Wu-Yuin; Utami, Ika Qutsiati; Purba, Siska Wati Dewi; Chen, Holly S. L. – IEEE Transactions on Learning Technologies, 2020
This paper aimed to investigate the effect of a mobile app on mathematics learning in authentic contexts. Authentic contexts contain rich resources wherein students can use authentic objects as aid in advanced educational technology-assisted mathematics learning. We designed Ubiquitous-Fraction (U-Fraction), a mobile application that helps…
Descriptors: Instructional Effectiveness, Mathematics Instruction, Mathematics Achievement, Web Based Instruction
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Han, Feifei; Ellis, Robert – Australasian Journal of Educational Technology, 2020
This study combined the methods from student approaches to learning and learning analytics research by using both self-reported and observational measures to examine the student learning experience. It investigated the extent to which reported approaches and perceptions and observed online interactions are related to each other and how they…
Descriptors: Measurement Techniques, Observation, Learning Analytics, Data Collection
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Nguyen, Quan; Rienties, Bart; Richardson, John T. E. – Assessment & Evaluation in Higher Education, 2020
Although the attainment gap between black and minority ethnic (BME) students and white students has persisted for decades, the potential causes of these disparities are highly debated. The emergence of learning analytics allows researchers to understand how students engage in learning activities based on their digital traces in a naturalistic…
Descriptors: Learning Analytics, Academic Achievement, Achievement Gap, Racial Differences
Karaoglan Yilmaz, Fatma Gizem – Online Submission, 2020
The aim of this research is to examine the relationships between students' community of inquiry, academic self-efficacy, reflective thinking skills, problem-solving skills, and metacognitive awareness in a flipped learning environment supported by personalized recommendation and guidance messages based on learning analytics. For this purpose,…
Descriptors: Blended Learning, Learning Analytics, Feedback (Response), Individualized Instruction
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Muhammad, Robert; McManus, Kristen – Strategic Enrollment Management Quarterly, 2018
If universities want to survive into the century while maintaining relevancy to the business world and the global market, they must utilize innovative methods that engage students from the time of admission through graduation. Successful engagement equates to economic growth and positive branding. Students who are 'invested' and feel that the…
Descriptors: Enrollment Management, Learning Analytics, Data Collection, Evidence Based Practice
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Kohnke, Lucas; Foung, Dennis; Chen, Julia – SAGE Open, 2022
Blended learning pedagogical practices supported by learning management systems have become an important part of higher education curricula. In most cases, these blended curricula are evaluated through multimodal formative assessments. Although assessments can strongly affect student outcomes, research on the topic is limited. In this paper, we…
Descriptors: Formative Evaluation, Higher Education, Outcomes of Education, Learning Analytics
Claire Lee, Editor; Chris Bailey, Editor; Cathy Burnett, Editor; Jennifer Rowsell, Editor – Cultural Studies and Transdisciplinarity in Education, 2022
This book asks researchers what uncertainty means for literacy research, and for how literacy plays through uncertain lives. While the book is not focused only on COVID-19, it is significant that it was written in 2020-2021, when our authors' and readers' working and personal lives were thrown into disarray by stay-at-home orders. The book opens…
Descriptors: Literacy, Reading Research, Interdisciplinary Approach, COVID-19
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Dawkins, Roger – Open Learning, 2019
I am a lecturer with professional marketing experience, and this study was motivated by my dismay at university about what I have perceived as oversights in colleagues' typical use of mass email (emailing a single message to a large group of subscribers) for content delivery, in comparison to the communication strategies of major industries (for…
Descriptors: Foreign Countries, Communication Strategies, Electronic Mail, Business Communication
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
Solomon, Bonnie J.; Sun, Sarah; Temkin, Deborah – Child Trends, 2021
With the passage of the 2015 Every Student Succeeds Act (ESSA), states were required to add a fifth indicator on "School Quality or Student Success" (SQSS) to their school accountability systems. An analysis of submitted ESSA state plans found that 13 states included measures of school climate as their SQSS indicator or incorporated…
Descriptors: School Districts, Learning Analytics, Educational Environment, Educational Quality
Ian Rosenblum – Office of Elementary and Secondary Education, US Department of Education, 2021
The author writes this letter to provide an update on assessment, accountability, and reporting requirements for the 2020-2021 school year. President Biden's first priority is to safely re-open schools and get students back in classrooms, learning face-to-face from teachers with their fellow students. To be successful once schools have re-opened,…
Descriptors: Letters (Correspondence), Educational Improvement, Accountability, Learning Analytics
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