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Eirini Kalaitzopoulou; Athanasios Christopoulos; Paul Matthews – Informatics in Education, 2025
While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…
Descriptors: Information Literacy, Learning Analytics, Data Use, College Faculty
Saar, Merike; Prieto, Luis P.; Rodríguez Triana, María Jesús – Technology, Pedagogy and Education, 2022
Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…
Descriptors: Data Collection, Data Use, Teaching Methods, Faculty Development
Leung, Javier – Quarterly Review of Distance Education, 2022
This study aimed to visualize self-regulated learning (SRL) behaviors performed by users from an online teacher professional development platform called the EdHub Library using the pm4py algorithm in Python to parse event data during the first 30 days of the school year and the first 90 days of the COVID-19 pandemic in March 2020. Process mining…
Descriptors: Self Management, Learning Strategies, Electronic Learning, Faculty Development
Kynda Faythe – Kansas English, 2017
The concept of data based decision making has been in the forefront of educational reform for decades. Despite the fact that data could better inform the educational decisions teachers make, some educators lack understanding of data and assessment. This could lead to misinterpretation and poor use of the scores. The purpose of this literature…
Descriptors: Literacy Education, Learning Analytics, Decision Making, English Teachers

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