This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…

Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…

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…

Creativity assessments should be valid, reliable, and scalable to support various stakeholders (e.g., policy-makers, educators, corporations, and the general public) in their decision-making processes. Established initiatives toward scalable creativity assessments have relied on well-studied standardized tests. Although robust in many ways, most…

To address needs in one US state to provide a professional development micro-credential for tens of thousands of educators, we automated an assignment scoring workflow in an online course by developing and refining an AI model to scan submitted assignments and score them against a rubric. This article outlines the AI model development process and…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

Advancements in technology and computer-based testing has allowed for greater flexibility in assessing examinee knowledge on large-scale, high-stakes assessments. Through computer-based delivery, cognitive ability and skills can be effectively assessed cost-efficiently and measure domains that are difficult or even impossible to measure with…

We have dramatically advanced our ability to create rich, complex, and effective assessments across a range of uses through technology advancement. Artificial Intelligence (AI) enabled assessments represent one such area of advancement--one that has captured our collective interest and imagination. Scientists and practitioners within the domains…

We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…

We have the ability to capture data from students' interactions with digital environments as they engage in learning activity. This provides the potential for a reimagining of assessment to one in which assessment become part of our natural education activity and can be used to support learning. These new data allow us to more closely examine the…

Physics faculty care about their students learning physics content. In addition, they usually hope that their students will learn some deeper lessons about thinking critically and scientifically. They hope that as a result of taking a physics class, students will come to appreciate physics as a coherent and logical method of understanding the…

In today's digital age, tests are increasingly being delivered on computers. Many of these computer-based tests (CBTs) have been adapted from paper-based tests (PBTs). However, this change in mode of test administration has the potential to introduce construct-irrelevant variance, affecting the validity of score interpretations. Because of this,…

Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…

In this study we developed and evaluated a crowdsourcing-based latent semantic analysis (LSA) approach to computerized summary scoring (CSS). LSA is a frequently used mathematical component in CSS, where LSA similarity represents the extent to which the to-be-graded target summary is similar to a model summary or a set of exemplar summaries.…

The role of digital technology in assessment has received a great deal of attention in recent years. Naturally, technology offers many practical benefits, such as increased efficiency with regard to the design, implementation and scoring of existing assessments. More importantly, it also has the potential to have profound, transformative effects…