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Laura B. Perry; Michael Thier; Paul Beach; Ross C. Anderson; Niklas-Max Thoennessen; Philip Roberts – Prospects, 2024
"Opportunity to learn" has evolved into an umbrella phrase for describing a large range of settings, resources, structures, and processes. The aim of this study is to develop a conceptual framework that can accommodate a wide range of opportunities to learn, not just those provided by teachers in classrooms. An inclusive framework can…
Descriptors: Educational Opportunities, Accountability, Equal Education, Models
Shikha N. Khera; Himanshu Pawar – Higher Education Quarterly, 2024
To date, student issues with Massive Open Online Courses (MOOCs) have only been explored in context-specific environments. Mainstream problems such as declining student motivation during a course, massive student dropout rates, accountability, user experience, etc., persist due to the permutations and combinations of these issues. Literature is…
Descriptors: MOOCs, Student Attitudes, Student Motivation, Dropout Rate
Gamze Türkmen – Journal of Educational Computing Research, 2025
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…
Descriptors: Artificial Intelligence, Natural Language Processing, Trust (Psychology), Electronic Learning

Parian Haghighat; Denisa Gandara; Lulu Kang; Hadis Anahideh – Grantee Submission, 2024
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…
Descriptors: Prediction, Learning Analytics, Multivariate Analysis, Regression (Statistics)
Denisa Gandara; Hadis Anahideh – Society for Research on Educational Effectiveness, 2024
Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…
Descriptors: Prediction, Learning Analytics, Ethics, Statistical Bias
Nicolas J. Tanchuk; Rebecca M. Taylor – Educational Theory, 2025
AI tutors are promised to expand access to personalized learning, improving student achievement and addressing disparities in resources available to students across socioeconomic contexts. The rapid development and introduction of AI tutors raises fundamental questions of epistemic trust in education. What criteria should guide students' critical…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Tutors
Laura Mentini; Antonina Levatino – European Educational Research Journal, 2024
The widespread adoption of school autonomy with accountability reforms in education has generated debate regarding the relationship between autonomy, innovation and accountability. While at the policy design level, these three elements are highly related, several authors highlight the contradictions among them. By analyzing key documents and…
Descriptors: Models, Accountability, Institutional Autonomy, Educational Innovation
How Should States Choose a Growth Model? Aligning Your Growth Model with Policy and Technical Values
Scott Marion; Chris Domaleski; Will Lorié – National Center for the Improvement of Educational Assessment, 2025
Federal law requires that state accountability systems include "another academic indicator" for elementary and middle schools in addition to academic achievement. Nearly all states use a measure of student longitudinal growth as their other academic indicator. But how should states decide which growth model to use? The Center for…
Descriptors: Federal Legislation, Accountability, Educational Indicators, Federal State Relationship
Cheryl E. Clark; Melissa Emrey-Arras; Robert F. Dacey – US Government Accountability Office, 2024
Over the last 3 decades, the Direct Loan program has grown in size and complexity, with over $1.3 trillion in outstanding loans as of September 2023. This program provides financial assistance to help students and their parents pay for postsecondary education. The Government Accountability Office (GAO) was asked to review issues related to…
Descriptors: Student Financial Aid, Risk, Costs, Guidance
Honglu Zhang; Darren Powell – Educational Review, 2024
The implementation of Olympic education in schools is a requirement for any host country of the Olympic Games, including the 2022 Olympic and Paralympic Winter Games in China. However, there are no strict requirements for host countries in terms of what their Olympic education programme should look like or how they must be implemented. Rather,…
Descriptors: Foreign Countries, Athletics, Ethics, Ethical Instruction
Sarah Ohls; Lauren Covelli; Jonathan Schweig – RAND Corporation, 2025
Microschools are an alternative to traditional schools for families who might be dissatisfied with local school options. Typically, "microschools" are defined as small, tuition-based schools (serving around 15 students) that are designed to offer a more personalized and flexible learning experience compared with traditional schools.…
Descriptors: Small Schools, Models, School Choice, Progress Monitoring
Ira Geraldina; Julia Safitri; Paulina Pannen; Eka Julianti – Turkish Online Journal of Distance Education, 2025
This paper proposes a governance model framework for online learning marketplaces in Indonesia. This research uses a case study approach to explore a model that is adequate and suitable to be applied in the context of the Indonesia Cyber Education Institute, which was initiated by Universitas Terbuka, Indonesia. The proposed model was prepared…
Descriptors: Foreign Countries, Governance, Online Courses, Educational Technology
George Leckie; Richard Parker; Harvey Goldstein; Kate Tilling – Journal of Educational and Behavioral Statistics, 2024
School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…
Descriptors: Academic Achievement, Value Added Models, Accountability, Institutional Characteristics
Kenneth H. MacKinnon – Journal of School Leadership, 2024
In Ontario, Canada, principals' work is guided by competencies outlined in the Ontario Leadership Framework which reflect the leadership skills and behaviours needed to successfully lead schools, improve student achievement and well-being. The problem is that this document largely ignores equity and anti-oppressive leadership behaviours. The…
Descriptors: Equal Education, Instructional Leadership, Leadership Effectiveness, Leadership Styles
Misti D. Gossett-Thrower – ProQuest LLC, 2024
This qualitative study aimed to understand the lived experience of marginalized young men who transformed from low academic achievement to academic success in obtaining post-secondary education. Boys have a long history of underperformance in secondary and post-secondary institutions, especially when they face additional barriers such as first…
Descriptors: Males, Low Achievement, Achievement Gains, Success
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