This dissertation explores conceptual and methodological issues related to measuring implementation in quantitative educational research. Implementation, defined as the enactment of interventions in educational contexts, plays a pivotal role in understanding how programs operate and affect student outcomes. Despite its importance, there is…

Despite extensive research on teacher evaluation, limited attention has been given to the lived experiences of visual and performing arts (VPA) teachers and the school-based administrators responsible for their evaluations. Existing literature highlights themes of administrator preparation, discipline-specific teacher evaluation, efficacy, and…

Promoting critical thinking (CT) skills has largely attracted the concern of numerous relevant stakeholders, including teachers, students, and policymakers, with the assumption that CT is a vitally learned skill needed by graduates. This study explores the extent of classroom-based assessment strategies used to promote the CT ability of…

This article reports on findings from a qualitative case study that explored teacher voice in the context of educational change in implementing the Curriculum and Assessment Policy reform in South Africa. The study uses the meta-theoretical paradigm of social constructivism and the conceptual framework of "resistance as good sense" to…

The decisions states make regarding what their assessments look like and what kind of information they produce inevitably shape instruction. Since the No Child Left Behind Act of 2001 ushered in an era of testing-based accountability for schools, state assessments have been governed by a set of design decisions that emphasize easily generated,…

Artificial intelligence is a tool that has expanded exponentially since it became available to the public. It will disrupt industry and higher education. While many faculty have concerns about the impact of AI, professional staff members are using AI at a higher rate than their faculty peers. In specific administrative areas, the use of AI will…

Feedback is significant in language learning and teaching. Nevertheless, how feedback is utilised effectively in various instructional approaches and assessment tools remains contentious. In portfolio scholarship, feedback plays a pivotal role in aligning language teaching, learning, and assessment seamlessly. Although feedback has been constantly…

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…

The study used phenomenology to examine teacher candidates' metaphorical perceptions for measurement and evaluation practices in distance education. 210 teacher candidates at a foundation university in Istanbul were included in the study group. Researchers collected data using a three-part form. The first part gathered demographic information, the…

Sleep problems are common in Rett syndrome and other neurogenetic syndromes. Actigraphy is a cost-effective, objective method for measuring sleep. Current guidelines require caregiver-reported bed and wake times to facilitate actigraphy data scoring. The current study examined missingness and consistency of caregiver-reported bed and wake times…

Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…

One potentially fruitful application for human capital analytics is to support policies and practices that might reduce undesirable teacher turnover. Teacher turnover can be harmful to student achievement and faculty cohesiveness and can exacerbate teacher shortages. This article describes an attempt to build a human capital analytics tool to help…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

Complex competences, such as managing students' aggressive behaviour, are challenging to develop during teacher training. Recently, video-based simulations have been considered promising, yet suitable assessment instruments are limitedly available. This paper reports on the design and evaluation of a video-based assessment tool tailored to measure…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…