Behavior analysts typically rely on visual inspection of single-case experimental designs to make treatment decisions. However, visual inspection is subjective, which has led to the development of supplemental objective methods such as the conservative dual-criteria method. To replicate and extend a study conducted by Wolfe et al. (2018) on the…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

In many performance assessments, one or two raters from the complete rater pool scores each performance, resulting in a sparse rating design, where there are limited observations of each rater relative to the complete sample of students. Although sparse rating designs can be constructed to facilitate estimation of student achievement, the…

Teacher performance scores inform education leaders' management of teacher human resources. However, prior research has implied that different interpretations of performance criteria between teachers and their evaluators suppress teacher development. Although research has examined teacher perceptions of performance scores and compared teacher…

Experiential education partnered with guided reflection is thought to support students with higher-order thinking skills. In this study, 44 reflections from two university-level sustainability courses were compared. In both courses students were asked to write a reflection, but only one course used the Reflective Learning Framework (RLF). Tests of…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…

This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…

The aim of this study is to analyse the importance of the number of raters and compare the results obtained by techniques based on Classical Test Theory (CTT) and Generalizability (G) Theory. The Kappa and Krippendorff alpha techniques based on CTT were used to determine the inter-rater reliability. In this descriptive research data consists of…

Many large-scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement. Previously, researchers have observed that…

Whereas many scholars have emphasized the relative importance of "comprehensibility" as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners' judgments is time-consuming. Following calls for research on more efficient L2 speech rating methods in applied linguistics, and growing attention toward…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Background: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can decrease the time and burden by automating the process, but evidence validating such software is…

In writing assessment, finding a valid, reliable, and efficient scale is critical. Appropriate scales, increase rater reliability, and can also save time and money. This exploratory study compared the effects of a binary scale and an analytic scale across teacher raters and expert raters. The purpose of the study is to find out how different scale…

National and institutional policies to escalate the production of doctorates have raised concerns about the quality of PhDs in South Africa. This study evaluates examiner reports of doctorates by thesis and publication in clinical medicine to ascertain the criteria that examiners used to define a successful doctoral thesis. A qualitative…

In the present study, I examined the effects of rater characteristics, in particular, raters' familiarity with a foreign accent, on the assessment of second language (L2) pronunciation. Forty-three native English-speaking teachers were divided into three groups according to their reported types of familiarity with Korean accents: heritage,…