As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…

Teacher-student relationships play a pivotal role in fostering student motivation, engagement, and achievement, yet debates about literacy instruction often overlook how curricular choices shape these relationships. This article examines how Self-Determination Theory (SDT) can serve as a fulcrum for integrating explicit foundational skills…

Many design frameworks introduced to novices are not compatible with the behaviours and habits of mind of expert designers. This creates a barrier to effective practice, especially when novice designers tackle ill-defined, wicked problems. The W-model is a pedagogical framework that provides a prescriptive design model for novices, enabling them…

Methods for optimal factor rotation of two-facet loading matrices have recently been proposed. However, the problem of the correct number of factors to retain for rotation of two-facet loading matrices has rarely been addressed in the context of exploratory factor analysis. Most previous studies were based on the observation that two-facet loading…

Purpose: This paper aims to provide an overview of the Organization Learning and Learning Organization concepts obtaining the perspectives of Professor Mary M. Crossan and presents an evolution of her immense contribution to the field over the past two decades. Design/methodology/approach: A conversation with thought-leader, Professor Mary M.…

Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this…

In signal detection rater models for constructed response (CR) scoring, it is assumed that raters discriminate equally well between different latent classes defined by the scoring rubric. An extended model that relaxes this assumption is introduced; the model recognizes that a rater may not discriminate equally well between some of the scoring…

Because the classification saves time in the learning process and enables this process to take place more easily, its contribution to music learning cannot be denied. One of the most valid and effective methods in music classification is music genre classification. Given the rapid progress of music production in the world and the significant…

One of the widely known evaluation models adapted to education is the Kirkpatrick model. However, this model has limitations when used by evaluators especially in the complex environment of higher education. Addressing the scarcity of a collective effort on discussing these limitations, this review paper aims to present a descriptive analysis of…

The entrepreneurship and higher education literatures suggest that universities cannot generate significant knowledge spillovers unless knowledge creation is followed by knowledge transformation and commercialization. Although several university business models have been proposed in the literature, extant studies assume that the elements required…

The increased availability of time-related information as a result of computer-based assessment has enabled new ways to measure test-taking engagement. One of these ways is to distinguish between solution and rapid guessing behavior. Prior research has recommended response-level filtering to deal with rapid guessing. Response-level filtering can…

Conducted based on the idea that there are similarities between "action research" and "curriculum development" processes, in this study, the aim was to develop a model that practitioners can use to understand and improve the practical curriculum. To this end, first, the phenomena of "curriculum", "curriculum…

Knowledge Tracing (KT) is a task to model students' knowledge based on their coursework interactions within an Intelligent Tutoring System (ITS). Recently, Deep Neural Networks (DNN) showed superb performance over classical methods on multiple dataset benchmarks. While most Deep Learning based Knowledge Tracing (DLKT) models are optimized for…

Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…

Whether corporations voluntarily reduce their negative impacts on the environment and society depends upon management advocacy. As future corporate leaders, accounting students will have a critical advocacy role, but they have been taught that shareholder value should not be sacrificed to reduce the externalized environmental and social costs…