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Fabio Campos; Ha Nguyen; June Ahn; Kara Jackson – British Journal of Educational Technology, 2024
In this article, we offer theory-grounded narratives of a 4-year participatory design process of a Learning Analytics tool with K-12 educators. We describe how we "design-in-partnership" by leveraging educators' routines, values and cultural representations into the designs of digital dashboards. We make our long-term reasoning visible…
Descriptors: Learning Analytics, Kindergarten, Elementary Secondary Education, Teacher Attitudes
Zeynab Mohseni; Italo Masiello; Rafael M. Martins; Susanna Nordmark – Journal of Learning Analytics, 2024
Visual Learning Analytics (VLA) uses analytics to monitor and assess educational data by combining visual and automated analysis to provide educational explanations. Such tools could aid teachers in primary and secondary schools in making pedagogical decisions, however, the evidence of their effectiveness and benefits is still limited. With this…
Descriptors: Learning Analytics, Visual Learning, Visualization, Intervention
Congning Ni; Bhashithe Abeysinghe; Juanita Hicks – International Electronic Journal of Elementary Education, 2025
The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…
Descriptors: Reaction Time, Multiple Choice Tests, Behavior Change, National Competency Tests
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
Cowan, Jackie; Hogan, Anna; Enright, Eimear – Journal of Educational Administration and History, 2022
The intensification of data collection practices in schooling -- often due to state accountability requirements -- has resulted in the widespread adoption of commercial student management systems (SMS) in schools. Drawing on a qualitative case study of a New Zealand primary school, this paper investigates its adoption of a commercial SMS, and the…
Descriptors: Commercialization, School Administration, Public Schools, Accountability
Cukurova, Mutlu; Khan-Galaria, Madiha; Millán, Eva; Luckin, Rose – Journal of Learning Analytics, 2022
One-to-one online tutoring provided by human tutors can improve students' learning outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this paper, we propose a learning analytics approach to monitoring online one-to-one tutoring quality. The approach analyzes teacher behaviours and classifies tutoring sessions…
Descriptors: Learning Analytics, Tutoring, Educational Quality, Behavior Patterns
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
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
Morakinyo Akintolu; Akinpelu A. Oyekunle – Journal of Educators Online, 2025
This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…
Descriptors: Data Analysis, Learning Analytics, Artificial Intelligence, Computer Software
Bruce Wellman; Laura Lipton – Solution Tree, 2024
In the second edition of "Data-Driven Dialogue: A Facilitator's Guide to Collaborative Inquiry," authors Bruce Wellman and Laura Lipton provide strategies that transform school culture through data-driven inquiry. By applying a three-phase model and a host of process tools to facilitate collaborative data analysis, K-12 school and…
Descriptors: Learning Analytics, Guides, Facilitators (Individuals), Visual Aids
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Potts, Jennifer – ProQuest LLC, 2022
This research was a mixed-methods study investigating how teachers in northeastern West Virginia use student data to drive their instructional decisions. This study also investigated teachers' perceptions of the data use on their instruction, their students, and themselves. Data collection for this research included both a cross-sectional survey…
Descriptors: Learning Analytics, Decision Making, Teaching Methods, Teacher Attitudes
Wicks, Anne; Taylor-Raymond, Justine – George W. Bush Institute, Education Reform Initiative, 2021
Determining whether a state's young people are on track for a life with opportunity is a critical -- but diffcult -- task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Longitudinal Studies
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
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