Corporates provide e-learning systems to their employees to improve their knowledge and competences needed in job descriptions. This study aims to propose a model that measures and analyzes real user data in e-learning system to measure the targeted personal development and learning level of employees of corporates with elearning academies…

People with intellectual disabilities (ID) are vulnerable to multiple long-term conditions (MLTC). However, in the UK, there are no individual strategies tailored for them. This study synthesised evidence on prevalence of MLTC in people with ID alongside risk factors, outcomes and preventative strategies. The scoping review used the tool Abstrackr…

Some Cochrane reviews were declared stable or closed, that is, not in need of updating. For some of them, it has been declared that conclusions will not (or it is unlikely they will) change with further studies. We explored whether there is a discernable decision-making pattern for decisions about the conclusiveness and stabilization of these…

Despite decades of research efforts, data-based instruction (DBI) for students with intensive intervention needs are not being widely used in practice as anticipated, and many educators have difficulties in implementing it. This systematic review aimed to examine what kinds of implementation drivers and strategies have been used to support…

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…

Background: The studies of science, technology, engineering, and mathematics (STEM) career interests have progressed substantially over the recent years. However, the influence of career awareness on STEM career interests is an area that requires further discussion. Evidently, Chinese adolescents have limited awareness and interest in STEM careers…

This dissertation contributes to the discussion of what contributes to school district rankings in the state of Ohio. It uses Latent Profile Analysis to explore different variables at the contextual and district level as they correspond to Ohio's Performance Index academic measure and Value-Added academic measure. Results show that contextual…

Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…

The term "level of care" is utilized in mental health care to refer to the different ways in which treatment can be delivered, including qualitative (e.g., modality, approach, setting) and quantitative (e.g., number of sessions, frequency of sessions) variations in services. The concept is often embedded in models of care and measures,…

Background: As researchers rush to investigate the potential of AI tools like ChatGPT to enhance learning, well-documented pitfalls threaten the validity of this emerging research. Issues of media comparison research, where the confounding of instructional methods and technological affordances is unrecognised, may render effects uninterpretable.…

Cloze items are a foundational approach to assessing readability. However, they require human data collection, thus making them impractical in automated metrics. The present study revisits the idea of assessing readability with cloze items and compares human cloze scores and readability judgments with predictions made by T5, a popular deep…

The purpose of this paper is to provide an overview of approaches to and insights for impact assessment on open educational resources (OER) in higher education and building on this to sketch a framework for university focussed OER impact assessment. The authors describe the literature on impact assessment in the OER context and the existing…

As the importance of 'excellence' increases in higher education, so too does the importance of indicators to measure research productivity. We examine how such indicators might disproportionately benefit men by analysing extent to which the separate components of the Norwegian Publication Indicator (NPI), a bibliometric model used to distribute…

The purpose of this study is to understand how professional staff within United States higher education institutions impact student success. Institutions of higher education within the US are typically composed of two main types of employees, academic faculty and professional staff, the latter of which have historically served in non-academic…

Purpose: Although conversational recast treatment is generally efficacious, there are many ways in which the individual components of the treatment can be delivered. Some of these are known to enhance treatment, others appear to interfere with learning, and still others appear to have no impact at all. This study tests the potential effect of…