ChatGPT, a general-purpose conversation chatbot released on November 30, 2022, by OpenAI, is expected to impact every aspect of society. However, the potential impacts this NLP tool education remain unknown. Such can be enormous as capacity ChatGPT may drive changes educational learning goals, activities, and assessment evaluation practices. This study was conducted piloting write an academic paper, titled Artificial Intelligence for Education (see Appendix A). The result suggests that able...

This article pilots ChatGPT in tackling the most challenging part of science learning and found it successful automation assessment development, grading, guidance, recommendation materials.

This study highlights the potential of fine-tuned ChatGPT (GPT-3.5) for automatically scoring student written constructed responses using example assessment tasks in science education. The application research and academic fields has greatly enhanced productivity efficiency. Recent studies on based OpenAI's generative model GPT-3.5 proved its superiority predicting natural language with high accuracy human-like responses. been trained over enormous online materials such as journals...

Abstract In response to Li, Reigh, He, and Miller's commentary, Can we should use artificial intelligence for formative assessment in science , argue that (AI) is already being widely employed across various educational contexts. While agreeing with Li et al.'s call further studies on equity issues related AI, emphasize the need educators adapt AI revolution has outpaced research community. We challenge somewhat restrictive view of presented by al., highlighting significant contributions...

This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in automatic scoring student-written responses to science assessments. We focused on overcoming challenges accessibility, technical complexity, lack explainability that have previously limited use artificial intelligence-based tools among researchers educators. With a testing dataset comprising six assessment tasks (three binomial three trinomial) 1650 student...

While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in classroom. This study aims to fill this gap by analyzing lesson plans developed 29 pre-service elementary teachers assessing how they integrated into learning activities. We first examined was subject domains, methods/strategies then evaluated using a GenAI-TPACK-based rubric. further teachers' perceptions...

As technology progresses, there has been an increasing interest in using Chatbot GPT (Generative Pre-trained Transformer) education. GPT, or ChatGPT, gained one million users within the first week of launching November 2022 and had amassed over 100 active by February 2023. This type artificial intelligence uses natural language processing to convert it into a user. paper presents comprehensive analysis review 34 articles published on ChatGPT its potential impact education utilizing PRISMA...

This study presents findings from a professional development (PD) webinar aimed at sensitizing and gathering teacher educators’ knowledge of Generative Artificial Intelligence (GAI). The primary objective the was to deepen understanding applications GAI within context education in Ghana identify areas requiring additional development. Three hundred seven participants diverse group, including educators, administrators, in-service teachers participated PD session. session conducted online via...

Research Article| April 01, 1998 Paleozoic metamorphism in the Qinling orogen, Tongbai Mountains, central China Xiaoming Zhai; Zhai 1Department of Geology, University California, Davis, California 95616 Search for other works by this author on: GSW Google Scholar Howard W. Day; Day Bradley R. Hacker; Hacker 2Department Geological Sciences, Santa Barbara, 93106 Zhendong You 3Department Geosciences, Wuhan 430074, People's Republic Author and Article Information Publisher: Society America First...

Abstract This study develops a framework to conceptualize the use and evolution of machine learning (ML) in science assessment. We systematically reviewed 47 studies that applied ML assessment classified them into five categories: (a) constructed response, (b) essay, (c) simulation, (d) educational game, (e) inter‐discipline. compared ML‐based conventional assessments extracted 12 critical characteristics map three variables three‐dimensional framework: construct , functionality automaticity...

Abstract Involving students in scientific modeling practice is one of the most effective approaches to achieving next generation science education learning goals. Given complexity and multirepresentational features models, scoring student‐developed models time‐ cost‐intensive, remaining challenging assessment practices for education. More importantly, teachers who rely on timely feedback plan adjust instruction are reluctant use tasks because they could not provide learners. This study...

Abstract Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and an effective mode learning—a perspective reflected in contemporary frameworks standards. The successful implementation argumentation school science, however, requires paradigm shift assessment from the measurement knowledge understanding performance use. Performance tasks requiring must capture many ways students can construct evaluate arguments yet such are expensive...

Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such GPT-4 ChatGPT, respectively. Compared conventional AI models, typically designed for limited range tasks, demand significant amounts domain-specific data training may not always consider intricate interpersonal dynamics in education. AGI, driven by recent pre-trained represents leap capability machines perform tasks that...

This study compared the classification performance of Gemini Pro and GPT-4V in educational settings. Employing visual question answering (VQA) techniques, examined both models' abilities to read text-based rubrics then automatically score student-drawn models science education. We employed quantitative qualitative analyses using a dataset derived from scientific employing NERIF (Notation-Enhanced Rubrics for Image Feedback) prompting methods. The findings reveal that significantly...

The keynote of this structured poster session is to examine the current state artificial intelligence (AI)-based formative assessment tools and identify future directions for research practice support STEM education. This assembled ten cutting-edge reports conducted at twelve institutions across globe. papers present how AI-based being realized open-ended questions, scaffolding, analogy generation, multi-modal assessment, social justice science issues, etc. Researchers will empirical...