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Khamisi Kalegele – International Journal of Education and Development using Information and Communication Technology, 2023
Pragmatically, machine learning techniques can improve educators' capacity to monitor students' learning progress when applied to quality data. For developing countries, the major obstacle has been the unavailability of quality data that fits the purpose. This is partly because the in-use information systems are either not properly managed or not…
Descriptors: Artificial Intelligence, Learning Management Systems, Progress Monitoring, Data Use
Ying, Samantha; Shakra, Rayanne – Issues in Educational Research, 2022
The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…
Descriptors: Data Use, Secondary School Teachers, Progress Monitoring, Evidence Based Practice
Ian Hardy – Professional Development in Education, 2024
Schooling in Australia has become subject to increased processes of data-based governance. This article draws upon the insights of an experienced teacher, 'Meriam', who, having taught more than 34-years over almost a 50-year span, reflected upon the nature of such changes. Utilising theorising in relation to datafication processes and…
Descriptors: Foreign Countries, Experienced Teachers, Teacher Attitudes, Educational Change
Blumenthal, Stefan; Blumenthal, Yvonne; Lembke, Erica S.; Powell, Sarah R.; Schultze-Petzold, Patricia; Thomas, Elizabeth R. – Journal of Learning Disabilities, 2021
The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries--Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both…
Descriptors: Teacher Attitudes, Data Use, Decision Making, Progress Monitoring
Alsaleh, Amal Abdulwahab – Leadership and Policy in Schools, 2023
This study aimed to investigate how data are used to inform instructional leadership practices in three Kuwaiti public schools, in addition to the factors that impact building data-use capacity. This study conducted three qualitative case studies in high-performing public schools. The findings reveal that data usage in the Kuwaiti schools…
Descriptors: Data Use, Instructional Leadership, Capacity Building, Case Studies
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Gamze Nur Inönü; Sema Çelebi; Meryem Gülhan; Selda Aras – European Early Childhood Education Research Journal, 2025
This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…
Descriptors: Early Childhood Teachers, Teacher Attitudes, Observation, Teaching Methods
Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Educational Technology Research and Development, 2020
Problem based learning (PBL) supports the development of transversal skills and could underpin the training of a workforce competent to withstand the constant generation of new information. However, the application of PBL is still facing challenges, as educators are usually unsure how to structure student-centred courses, how to monitor students'…
Descriptors: Problem Based Learning, Data Use, Learning Analytics, Skill Development
Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Kishida, Yuriko; Carter, Mark; Kemp, Coral – Australasian Journal of Special and Inclusive Education, 2021
Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…
Descriptors: Data Use, Data Collection, Early Childhood Teachers, Early Childhood Education
Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics
Hartong, Sigrid – Critical Studies in Education, 2021
This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…
Descriptors: State Departments of Education, Technology Uses in Education, Performance, Accountability
Peters, Martin T.; Förster, Natalie; Hebbecker, Karin; Forthmann, Boris; Souvignier, Elmar – Journal of Learning Disabilities, 2021
In most general education classrooms in Germany, students with and without special educational needs are taught together. To support teachers in adapting instruction to these heterogeneous classrooms, we have developed learning progress assessment (LPA) and reading instructional materials, the "Reading Sportsman" (RS), in line with the…
Descriptors: Data Use, Decision Making, Reading Fluency, Reading Comprehension
Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement
Louden, William – Education Services Australia, on behalf of the Education Council, 2019
The Education Council of the Council of Australian Governments (COAG) commissioned a review of the current approach to the presentation of the National Assessment Program -- Literacy and Numeracy (NAPLAN) data including information published on the "My School" website. The review was framed by four Terms of Reference, namely: (1)…
Descriptors: Foreign Countries, Literacy, National Competency Tests, Numeracy
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