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Du, Xiaoming; Ge, Shilun; Wang, Nianxin – International Journal of Information and Communication Technology Education, 2022
In the context of education big data, it uses data mining and learning analysis technology to accurately predict and effectively intervene in learning. It is helpful to realize individualized teaching and individualized teaching. This research analyzes student life behavior data and learning behavior data. A model of student behavior…
Descriptors: Prediction, Data, Student Behavior, Academic Achievement
Dart, Evan H.; Radley, Keith C. – School Psychology Quarterly, 2018
Single-case data are frequently used in school psychology. In research, single-case designs allow experimenters to provide rigorous demonstrations of treatment effects on a smaller scale and with more precise measurement than traditional group experimental design. In practice, single-case data are used to evaluate the effects of school-based…
Descriptors: Graphs, Psychology, Visual Perception, Data
Parker, David C.; Burns, Matthew K.; McMaster, Kristen L.; Al Otaiba, Stephanie; Medhanie, Amanuel – Assessment for Effective Intervention, 2018
The current study determined growth patterns during an 8-week writing intervention and then examined the association between growth pattern and students' initial skills as determined by instructional-level data. One hundred forty-seven first-grade students struggling with early literacy skills received a writing intervention at one of two tiers of…
Descriptors: Writing Instruction, Grade 1, Elementary School Students, Emergent Literacy
Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam – Journal of Interactive Media in Education, 2016
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…
Descriptors: Open Universities, Foreign Countries, Intervention, Models
Wayman, Jeffrey C.; Shaw, Shana; Cho, Vincent – AERA Open, 2017
Does data use make a difference in student achievement? Despite the field's optimism on this matter, relatively few studies have attempted to quantify the effects of data use. These studies have often used the presence of a data use intervention (e.g., a data system or data coaching) as a proxy for use, as opposed to tracking teachers' direct…
Descriptors: Data, Longitudinal Studies, Academic Achievement, Decision Making
Coburn, Cynthia E.; Turner, Erica O. – Measurement: Interdisciplinary Research and Perspectives, 2011
Data use is a phenomenon that spans boundaries of disciplines, implicating issues of measurement and assessment, issues of learning and cognition, issues of organizational context and change, and issues of power and politics, among others. Traditionally, scholarship on these different aspects of data use lives in different disciplinary homes. In…
Descriptors: Data, Information Utilization, Models, Intervention
Jacob, Robin T.; Goddard, Roger D.; Kim, Eun Sook – Educational Evaluation and Policy Analysis, 2014
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…
Descriptors: Academic Achievement, Data, Information Utilization, Educational Assessment
Ferron, John; Van den Noortgate, Wim; Beretvas, Tasha; Moeyaert, Mariola; Ugille, Maaike; Petit-Bois, Merlande; Baek, Eun Kyeng – Society for Research on Educational Effectiveness, 2013
Single-case or single-subject experimental designs (SSED) are used to evaluate the effect of one or more treatments on a single case. Although SSED studies are growing in popularity, the results are in theory case-specific. One systematic and statistical approach for combining single-case data within and across studies is multilevel modeling. The…
Descriptors: Comparative Analysis, Intervention, Experiments, Research Methodology
Marsh, Julie A.; Farrell, Caitlin C. – Educational Management Administration & Leadership, 2015
As accountability systems have increased demands for evidence of student learning, the use of data in education has become more prevalent in many countries. Although school and administrative leaders are recognizing the need to provide support to teachers on how to interpret and respond to data, there is little theoretically sound research on…
Descriptors: Data, Decision Making, Capacity Building, Learning Theories
Rose, Roderick A. – ProQuest LLC, 2013
An important target of education policy is to improve overall teacher effectiveness using evidence-based policies. Randomized control trials (RCTs), which randomly assign study participants or groups of participants to treatment and control conditions, are not always practical or possible and observational studies using rigorous quasi-experimental…
Descriptors: Teacher Effectiveness, Causal Models, Inferences, Observation
Landwehr, Peter; Spraragen, Marc; Ranganathan, Balki; Carley, Kathleen M.; Zyda, Michael – Simulation & Gaming, 2013
In this article, the authors discuss the development of the "Sudan Game," an interactive model of the country in the time period leading up to the Sudanese referendum on the secession of the South. While many simulations are designed to educate about their subjects, the "Sudan Game" is intended to be a prototype for policy…
Descriptors: Foreign Countries, Computer Games, Public Policy, Policy Formation
Voortman, Mark – ProQuest LLC, 2010
Recently, several philosophical and computational approaches to causality have used an interventionist framework to clarify the concept of causality [Spirtes et al., 2000, Pearl, 2000, Woodward, 2005]. The characteristic feature of the interventionist approach is that causal models are potentially useful in predicting the effects of manipulations.…
Descriptors: Causal Models, Mathematics, Prediction, Intervention
Hoaglund, Amy E.; Birkenfeld, Karen J.; Bluiett, Tarsha – Reading Improvement, 2014
A seamless practice in most classrooms today is one of reading assessment as the tool that informs instruction. When data is used effectively, teachers can provide essential early intervention instruction to prevent reading difficulties from occurring. In most cases, data retrieved from various classroom assessments provide authentic student…
Descriptors: Preservice Teachers, Data, Teacher Education Programs, Partnerships in Education
Fox, Lise; Veguilla, Myrna; Perez Binder, Denise – Technical Assistance Center on Social Emotional Intervention for Young Children, 2014
The Technical Assistance Center on Social Emotional Intervention for Young Children (TACSEI) Roadmap on "Data Decision-Making and Program-Wide Implementation of the Pyramid Model" provides programs with guidance on how to collect and use data to ensure the implementation of the Pyramid Model with fidelity and decision-making that…
Descriptors: Evidence Based Practice, Decision Making, Intervention, Program Implementation
McGuire, Beatriz – ProQuest LLC, 2012
The most recent reauthorization of the Individual's with Disabilities Education Improvement Act (IDEA, 2004) allows for the expansion of occupational therapy's role in school-based practice to include students who have not been identified for special education through early intervening services such as response to intervention (RtI).…
Descriptors: Response to Intervention, Grade 1, Elementary School Students, Occupational Therapy
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