Despite well-documented links to improvements in students' academics and behaviors, implementing and maintaining evidence-based practices (EBPs) within the classroom can be difficult for educators. While professional development can support teachers with the implementation of EBPs, traditional professional development activities can be…

It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, Bayesian hierarchical modeling yields an adaptive procedure that uses the data to determine how much adjustment to perform. The result is a novel analysis with increased…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

Both a student-centered instruction approach and a classroom management technique based on the learning protocol are known as protocol-guided learning. This paper describes the protocol-guided learning model's implications for classroom practice and its impacts on classroom reconstruction with the aim of ensuring that learning actually occurs on…

This article examines the politics of curriculum design and evaluation in school settings globally. It examines the role of ideology and dominant meta-narratives of standards and academic achievement culture and its impact on education policy, curriculum design and implementation. The article discusses major models of curriculum design and their…

Modern societies, new technical equipment and technology confirm the importance of knowledge acquisition in everyday life, especially in economy. An education system is a non-profit system. Since it strongly affects economic efficiency, its quantification becomes a very complex process. In order to make the quantification process possible, this…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

Internationalization impacts universities and changes their core missions. Consequently, many western universities adopted a business model approach to deal with opportunities and challenges internationalization poses to their missions. Resulting from increased scrutiny from the public and policy makers on the ability of universities to…

This article explores how the new Curriculum for Wales offers an alternative to the traditional status quo in the schooling of industrialised societies by providing an opportunity for inquiry-led approaches. It argues that mainstream schooling is beholden to dominant discourses that have an alleigance to a factory-model of education. As a…

In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…

Universities across the globe are transforming or upgrading their campus infrastructure to prepare students for the work in the 21st century. Such campus transformations can be important in various ways. For example, universities can introduce innovative learning spaces that support recruitment and enrollment policies on campus. Even though the…

The United States cannot meet its higher education goals without changing the way it funds public colleges and universities. Current funding models do not sufficiently advance fully scaled improvements. Instead, today's models create unfunded mandates: Colleges are required to increase completion rates, but they do not receive essential funding…

Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

Introduction: Planned missing designs are relatively new to the field of psychological and developmental research. These designs allow researchers to randomly assign participants to missing data conditions; participants are either randomly selected to receive or not receive particular measures or items during data collection (Little &…

Structural reasoning is a combined ability to "look for structures, recognize structures, probe into structures, act upon structures, reason in terms of general structures, and see how a piece of knowledge acquired resolves a perturbation experienced" (Harel and Soto, 2017). The purpose of this study was to explore the cognitive…