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Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the…
Descriptors: Learning Analytics, Individualized Instruction, Integrated Learning Systems, Data Collection
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Khulbe, Manisha; Tammets, Kairit – Technology, Knowledge and Learning, 2023
Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…
Descriptors: Faculty Development, Learning Analytics, Intervention, Teacher Attitudes
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Nuttall, Joce; Rooney, Tonya; Gunn, Alexandra C.; White, E. Jayne – Technology, Pedagogy and Education, 2023
Thousands of early childhood education centres around the world use digital documentation platforms to report children's learning. Yet there is little research into how these platforms are changing work practices in early childhood education. This pilot study tested the usefulness of cultural-historical activity theory to analyse work shadowing…
Descriptors: Foreign Countries, Early Childhood Education, Documentation, Information Technology
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Sointu, Erkko; Saqr, Mohammed; Valtonen, Teemu; Hallberg, Susanne; Väisänen, Sanna; Kankaanpää, Jenni; Tuominen, Ville; Hirsto, Laura – Journal of Technology and Teacher Education, 2023
Pre-service teacher training is research intensive in Finland. Additionally, teaching as a profession is highly valued among young people. However, quantitative methods courses are challenging for teacher students from many reasons. Particularly, this is due to previous negative experiences and emotions (among other things). Thus, novel approaches…
Descriptors: Emotional Response, Preservice Teachers, Student Behavior, Difficulty Level
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Geng, Xuewang; Yamada, Masanori – Journal of Computer Assisted Learning, 2023
Background: Augmented reality has been widely applied in various fields, and its benefits in language learning have been increasingly recognized. However, the investigation of effective learning behaviours and processes in augmented reality learning environments, taking into account temporality and analysis of differences in learning behaviours…
Descriptors: Learning Analytics, Second Language Learning, Second Language Instruction, Learning Processes
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Chen, Xieling; Zou, Di; Xie, Haoran; Chen, Guanliang; Lin, Jionghao; Cheng, Gary – Education and Information Technologies, 2023
The diversity and advance of information, communication, and analytical technologies and their increasing adoption to assist instruction and learning give rise to various technology-driven conferences (e.g., artificial intelligence in education) in educational technology. Previous reviews on educational technology commonly focused on journal…
Descriptors: Educational Technology, Conference Papers, Bibliometrics, Conferences (Gatherings)
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Yang, Christopher C. Y.; Ogata, Hiroaki – Educational Technology & Society, 2023
Blended learning (BL) is regarded as an effective strategy for combining traditional face-to-face classroom activities with various types of online learning tools (e.g., e-books). An effective feature of e-books is the ability to use digital notes. When e-books are used in BL, the strategic adoption of note-taking provides benefits that influence…
Descriptors: Blended Learning, Sequential Approach, Notetaking, Electronic Publishing
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Chen, Xieling; Cheng, Gary; Zou, Di; Zhong, Baichang; Xie, Haoran – Educational Technology & Society, 2023
As a human-friendly system, the artificial intelligence (AI) robot is one of the critical applications in promoting precision education. Alongside the call for humanity-oriented applications in education, AI robotsupported precision education has developed into an active field, with increasing literature available. This study aimed to…
Descriptors: Artificial Intelligence, Robotics, Technology Uses in Education, Man Machine Systems
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Bussani, Andrea; Comici, Cinzia – Physics Teacher, 2023
Data analysis and interpretation has always played a fundamental role in the scientific curricula of high school students. The spread of digitalization has further increased the number of learning environments whereby this topic can be effectively taught: as a matter of fact, the ever-growing diffusion of data science across diverse sectors of…
Descriptors: Learning Analytics, High Schools, Data Interpretation, Data Science
Bailey, Kim; Jakicic, Chris – Solution Tree, 2023
In the second edition of this pivotal work by Kim Bailey and Chris Jakicic, you will discover updated and improved resources to use formative data to support higher levels of student learning. Data-driven techniques and new tools will guide you in improving collaboration and student engagement throughout the assessment process. Teams can use the…
Descriptors: Guides, Formative Evaluation, Learner Engagement, Kindergarten
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Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
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Michos, Konstantinos; Schmitz, Maria-Luisa; Petko, Dominik – Education and Information Technologies, 2023
Since schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We conducted a survey study with N = 1059 teachers in…
Descriptors: Secondary School Teachers, Prediction, Data Use, Data Analysis
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Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
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Ruth M. Roberts – Critical Education, 2023
This paper offers a critical discourse analysis of documents relating to the introduction of predictive learning analytics at a small, UK university. Semiotic and interdiscursive analysis was carried out on texts from three different sources: the institution, the commercial analytics software provider, and one academic subject area. Authority…
Descriptors: Discourse Analysis, College Students, Attendance, Learner Engagement
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Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
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