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Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
Jagodics, Balázs; Nagy, Katalin; Szénási, Szilvia; Varga, Ramóna; Szabó, Éva – School Mental Health, 2023
The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…
Descriptors: High School Students, Burnout, Correlation, Prediction
Tara Powell; Greta Wetzel; Jodi Berger Cardoso – Children & Schools, 2024
The Journey of Hope (JoH) is an evidence-based behavioral health prevention intervention model designed for disaster-affected children and youth. While the in-person JoH model has been extensively delivered and studied, the virtual implementation of this intervention, specifically tailored for the unique needs of children and youth during the…
Descriptors: Psychological Patterns, COVID-19, Pandemics, Natural Disasters
Malti, Tina – European Journal of Developmental Psychology, 2021
This article introduces a developmental perspective on kindness. The central goal is to posit a new framework for the study of kindness and its development. From an ethical perspective, kindness can be considered a virtue. It reflects emotions, cognitions, and inner states that convey a particular gentleness and benevolence. These orientations can…
Descriptors: Prosocial Behavior, Models, Intervention, Developmental Stages
Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
Nobbe, Christine; Doyle, Madelyn – Missouri Department of Elementary and Secondary Education, 2021
This document provides guidance for establishing a levels of services (LoS) model for gifted and advanced learners. The Advisory Council on the Education of Gifted and Talented Students recommends that all Missouri public school districts, regardless of size, provide varied and multiple services to meet the needs of gifted and talented learners.…
Descriptors: Gifted Education, Talent, Advanced Students, Public Schools
Elizabeth Talbott; Andres De Los Reyes – Grantee Submission, 2022
Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…
Descriptors: Case Studies, Decision Making, Guidelines, Referral
Demers, Catrine; Higgins, Zoe Elizabeth; Bahraini, Sayna; Pelchat, Roxanne; Gifford, Wendy; Lefebvre, Pascal – Issues in Interdisciplinary Studies, 2021
As implementation scientists know well, evaluating fidelity is essential for researchers and practitioners when making sure they implement a plan as intended. However, the concept of fidelity remains unclear, given that various conceptualizations exist within and across disciplines. To help researchers and practitioners understand fidelity, a…
Descriptors: Interdisciplinary Approach, Guidelines, Fidelity, Definitions
Schoonenboom, Judith; Hitchcock, John H.; Johnson, R. Burke – Research in the Schools, 2018
This article is predicated on the idea that, by interacting with differences of various kinds, researchers in special education can obtain conclusions that are more nuanced, sophisticated, richer, and, hence, better than when they would have ignored such differences. Based on the application of existing research guidelines to 6 recent exemplars of…
Descriptors: Educational Research, Special Education, Intervention, Stakeholders
Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models
Arnab, Sylvester; Clarke, Samantha – British Journal of Educational Technology, 2017
The application of game-based learning adds play into educational and instructional contexts. Even though there is a lack of standard methodologies or formulaic frameworks to better inform game-based intervention development, there exist scientific and empirical studies that can serve as benchmarks for establishing scientific validity in terms of…
Descriptors: Interdisciplinary Approach, Guidelines, Sex Education, Intervention
Borge, Marcela; White, Barbara – Cognition and Instruction, 2016
We proposed and evaluated an instructional framework for increasing students' ability to understand and regulate collaborative interactions called Co-Regulated Collaborative Learning (CRCL). In this instantiation of CRCL, models of collaborative competence were articulated through a set of socio-metacognitive roles. Our population consisted of 28…
Descriptors: Metacognition, Cooperative Learning, Mixed Methods Research, Urban Schools
Abdalla Mohamed – International Society for Technology, Education, and Science, 2023
Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…
Descriptors: COVID-19, Pandemics, Acceleration (Education), Intervention