Evaluators widely agree that the involvement of key actors is a central aspect of quality practice. However, a scoping review of to what extent and how youth are included has not been explored. This is an important omission because many evaluations are done on programs that directly serve youth. We examined 159 evaluation reports in a publicly…

According to architectural designers, although they are aware of the sound environment when designing spaces, in many cases visual (design) and cost (cost-effectiveness, etc.) were the predominant factors. In many cases, the visual (design) and cost aspects (cost-effectiveness, etc.) were dominant. The tacit rule for evaluating the sound…

This study aims to examine the studies on curriculum commitment in Turkey. The descriptive content analysis method was used in the research. Google Scholar and YÖK national databases were searched using the keywords "curriculum" and "fidelity." Twenty-four studies using these words in their titles were included in the research.…

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…

Gifted students are future leaders in society. In order to support and encourage them, it's important to have a thorough understanding of the nature of giftedness and the perceptions, and anticipations of gifted students. Therefore, the purpose of this study is to investigate the perceptions and anticipations of 6th-grade gifted students about…

Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase. The lack of large scale corpora with idiomatic-literal parallel sentences is a primary challenge for this…

Automated essay scoring (AES), where natural language processing is applied to score written text, can underpin educational resources in blended and distance learning. AES performance has typically been reported in terms of correlation coefficients or agreement statistics calculated between a system and an expert human examiner. We describe the…

In this paper we report our development of instruments to measure Big Ideas in school mathematics. In tackling the issue of assessment fatigue among students, we present an aggregated approach to measure students' knowledge of Big Ideas.

Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

This article focuses on the results of an investigation about the "traffic light" method in kindergarten, which is used as a self-assessment method, a strategy by which the preschoolers evaluate their own progress in achieving the learning objectives, and the teacher obtains an immediate feedback regarding the level of understanding of…

The validity of the Kappa coefficient of chance-corrected agreement has been questioned when the prevalence of specific rating scale categories is low and agreement between raters is high. The researchers proposed the Lambda Coefficient of Rater-Mediated Agreement as an alternative to Kappa to address these concerns. Lambda corrects for chance…

Earning a college degree offers many benefits but requires time and money. Prior learning assessment (PLA) saves time and money by translating prior learning into college credit. This systematic literature review examined peer reviewed journal articles about PLA from the last decade. The research design used systematic literature review procedures…

Teaching observation protocols serve purposes beyond research, such as providing formative feedback for teachers' growth in their practice. Such observation tool usage requires different approaches for validation. For this reason, we developed the formative teaching evaluation framework adapted from the student-assessment literature. We used this…

The COVID-19 pandemic has tackled global sustainability without prejudice or geographical constraint. It has also prompted people to advance to the post-pandemic era. However, it is possible that in the future, extreme negative effects in response to crisis, especially during a pandemic, would recur. In fact, it might worsen. This situation has…

To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…