This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…

In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…

The purpose of this study was to investigate which of the available Spanish sentence tests U.S. audiologists currently utilize to evaluate Spanish-speaking cochlear implant candidates. An online questionnaire was created and distributed nationwide. A total of 25 audiologists reported using the Spanish HINT and Spanish AzBio. Limitations regarding…

Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be profoundly transformed by AI. The purpose of this review is to help education practitioners understand the research frontiers and directions of AI applications in education. This paper reviews the…

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,…

Evaluation is an essential component of the learning process when discerning learning situations. Assessing natural language responses, like short answers, takes time and effort. Artificial intelligence and natural language processing advancements have led to more studies on automatically grading short answers. In this review, we systematically…

Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…

The development of explanations for scientific phenomena is crucial in science assessment. However, the scoring of students' written explanations is a challenging and resource-intensive process. Large language models (LLMs) have demonstrated the potential to address these challenges, particularly when the explanations are written in English, an…

To improve clinical teaching skills, feedback on teachers' strengths and weaknesses needs to be reliable, timely, and relevant. To provide timely feedback we undertook development of an analytical dashboard to provide learner feedback to our faculty. As dashboard data displays are limited we performed a modified Delphi (mDelphi) method to…

Although generative AI (GenAI), for the most part, has been widely adopted in all facets of modern life, the international teaching community has increasingly voiced concerns about it. This study set out to unfold teachers' reactions to the manipulation of ChatGPT in foreign language education. It is situated in a networked context with…

Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…

This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…

In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…

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…

The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…