Previous studies on skill acquisition have taught targets in stimulus sets composed of different numbers of stimuli. Although the rationale for selection of a stimulus set size is not clear, the number of target stimuli trained within a set is a treatment decision for which there is limited empirical support. The current investigation compared the…

This study aimed to refine and validate a Mechatronic System Usability Evaluation (MSUE) questionnaire. A total of 626 users were selected using random sampling, from the area of West Thessaloniki, Greece. The validity of the questionnaire were tested with the content and construction validity method. The reliability of the MSUE questionnaire…

Funding for special education has traditionally focused on providing some form of equity for students identified as having a disability (Dragoo, 2018; Hargrove et al., 1983; Zettel & Ballard, 1979). However, the pressure to raise standards for all students led to questions of funding adequacy and efficiency (Baker, 2018; Hanushek, 2007).The…

The purpose of the study is to explore the ways of involving university stakeholders specifically in updating educational services. It combined exploratory and observational research methods which relied on qualitative or quantitative data gathered through the researcher-designed and validated tools which were the empirical and methodological…

The 1988 Dawkins reforms were designed, at least in part, to encourage public universities to organize themselves as if they were corporate enterprises, in order to create a more efficient and competitive sector that was less reliant on government funding. This paper assesses whether successive policy changes since the 1988 Dawkins reforms have…

Cognitive diagnostic computerized adaptive testing (CD-CAT) is a cutting-edge technology in educational measurement that targets at providing feedback on examinees' strengths and weaknesses while increasing test accuracy and efficiency. To date, most CD-CAT studies have made methodological progress under simulated conditions, but little has…

To ensure each county board of education provides a thorough and efficient education for its students, the West Virginia Board of Education (WVBE) annually reviews county scorecards and efficiency profiles provided by the Office of Support & Accountability. County status is reviewed and determined based on multiple measures of student…

Online courses are popular in community colleges among students of different backgrounds. However, compared to community college students who take face-to-face courses, those who take online courses earn lower grades and are less likely to receive a diploma or transfer to a four-year institution. Designing courses to facilitate social presence, as…

As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…

This study investigates the psychological and pedagogical factors influencing K-12 teachers' readiness to integrate artificial intelligence (AI) into educational settings. An exploratory qualitative approach was employed, involving 66 teachers from 11 disciplines at a private school in Türkiye participating in a professional development program…

This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…

It is known that gifted individuals have existed for centuries and have played important roles in the development and progress of societies. In recent years, there has been a need for education systems that provide the environment and conditions in which gifted children can express themselves easily, that can help them overcome the problems and…

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…

Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…

The main issue that is discussed today in schools, in educational institutions, by researchers and education experts, is the quality in education. In addition to numerous discussions on issues of educational quality, in addition to defining quality standards and criteria and in addition to establishing criteria to measure quality, the role of the…