First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…

With the generative artificial intelligence (AI) tool's remarkable capabilities in understanding and generating meaningful content, intriguing questions have been raised about its potential as an automated essay scoring (AES) system. One such tool is ChatGPT, which is capable of scoring any written work based on predefined criteria. However,…

The merit of narrative film methods to support participatory approaches and professional development has been increasingly demonstrated by research in several fields and education. However, the use of digital storytelling and other film methods in evaluation remains largely unchartered territory. This article provides a case study of a digital…

This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student written responses to introductory level physics problems. Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

Despite the importance that learners must place on using prosody appropriately in EIL interaction, pragmatic functions of prosody have been largely disregarded in teaching materials and classroom instruction (Nikolic, 2018). Moreover, with a recent change in classroom paradigms instigated by the global development of educational technologies and…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Research indicates that teacher performance is a critical focus for school districts, administrators, and teachers. Pre-service teacher preparation, teacher retention, job satisfaction, mentoring, continuous feedback, and onboarding support for new teachers are all factors that influence teacher performance (Carver-Thomas & Darling-Hammond,…

The Canadian Agility and Movement Skill Assessment (CAMSA) is a valid and reliable circuit-based test of motor competence which can be used to assess children's skills in a live or recorded performance and then coded. We aimed to analyze the intrarater reliability of the CAMSA scores (total, time, and skill score) and time measured, by comparing…

In this study, I compare the accuracy of automatic speech recognition (ASR) transcription against two measures of intelligibility provided by human listeners. The data came from readings of five texts recorded by 15 language learners of French. Human understanding was gauged by (i) asking a group of 36 naïve first language (L1) speakers of French…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…

This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…

Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…