The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…

Criticisms about psychometric paradigms currently used in healthcare professions education include claims of reductionism, objectification, and poor compliance with assumptions. Nevertheless, perhaps the most crucial criticism comes from learners' difficulty in interpreting and making meaningful use of summative scores and the potentially…

The Higher Colleges of Technology (HCT) has developed and deployed a set of distinctive and dynamic capabilities in alignment with the UAE national agenda. These capabilities drive an ambitious strategy that anticipates and ensures future readiness; creates student-centric value; enables and empowers human capital; exploits the full potential of…

This report provides information on the structure of mainstream European education systems, from pre-primary to tertiary level for the 2022/2023 school and academic year. It includes national schematic diagrams and a guide to reading the diagrams. It also contains a map visually showing the main organisational models of primary and lower secondary…

This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…

This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…

Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…

Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…

Fourteen empirical studies on academic burnout were synthesized and reviewed with a meta-analytic approach based on the framework of job demand, control, support model. It was found that demand, control, and support were associated with academic burnout. The three dimensions of burnout were negatively related to demand and positively related to…

When we think of the debates surrounding linguistic transfer in L3 acquisition, one of the most prominent discussions concerns whether transfer occurs in a wholesale fashion or whether it is property-by-property. One such model is the Linguistic Proximity Model (LPM, Mykhaylyk et al., 2015; Westergaard et al., 2017; Westergaard, 2021), which…

The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…

This brief report presents a secondary analysis of responses to the Student Subjective Wellbeing Questionnaire (SSWQ) with a sample of urban middle-schoolers. Relative classification validity evidence was evaluated for two screening models derived from responses to the SSWQ: one based on the Overall Wellbeing Scale (OWS) and the other based solely…

Historically, responsibility for career education and guidance in English schools was shared between the school and an external careers service. The Education Act 2011 transferred responsibility for career guidance to schools and has created a need for the new role of a 'careers leader'. In this article, we report on research in 27 English state…

The aim of this study is to investigate the causes of reading problems experienced by third-grade students because of the instructional malpractices in education and develop a modeling with artificial neural networks. It was carried out according to the exploratory sequential model and consisted of two stages. In the qualitative part, a data pool…

With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…