This research investigates the potential and challenges of using artificial intelligence, specifically the ChatGPT-4 model developed by OpenAI, in grading and providing feedback in an educational setting. By comparing the grading of a human lecturer and ChatGPT-4 in an experiment with 105 students, our study found a strong positive correlation between the scores given by both, despite some mismatches. In addition, we observed that ChatGPT-4's feedback was effectively personalized and understandable for students, contributing to their learning experience. While our findings suggest that AI technologies like ChatGPT-4 can significantly speed up the grading process and enhance feedback provision, the implementation of these systems should be thoughtfully considered. With further research and development, AI can potentially become a valuable tool to support teaching and learning in education. https://saiconference.com/FICC
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This exploration with ChatGPT underscores two vital lessons for human rights law education. First, the importance of reflective and critical prompting techniques that challenge it to critique its responses. Second, the potential of customizing AI tools like ChatGPT, incorporating diverse scholarly perspectives to foster a more inclusive and comprehensive understanding of human rights. It also shows the promise of using collaborative approaches to build tools that help create pluriversal approaches to the study of human rights law.
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ChatGPT’s emergence and subsequent evolution as a generative artificial intelligence tool introduces new ways of assisting students with research design. Fostering research skills with undergraduate students presents opportunities and challenges for faculty to aid with drafting research plans, questions for investigation, and methods for conducting the research. While some educators rightfully voice concerns over the ethical aspects of such a tool, this article will draw on my own experiences using ChatGPT 4.0 as a tool in research project supervision. I demonstrate how to prompt ChatGPT to give useful suggestions that can be used as actionable feedback. I also discuss how to instruct students to include ChatGPT in their research methodology when using the tool to refine research questions.
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Het afweren van technologie zoals ChatGPT heeft geen zin. Bedenk liever hoe je het kunt benutten, raadt lector Bart Wernaart (Fontys Hogeschool) aan.
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De ontwikkelingen op het gebied van artificial intelligence (AI) gaan razendsnel. Hoe ga je als schooldirecteur om met de kansen en keerzijden van generatieve AI in het onderwijs, zoals ChatGPT? Onderwijskundige en specialist digitale geletterdheid Josien Boetje geeft uitleg, inzichten en tips om jou en je team te inspireren.
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Het onderwijs staat een jaar na de introductie van de hyperintelligente tekstproducent ChatGPT niet op zijn kop. Maar wel balen docenten na de komst van kunstmatige intelligentie van kat-en-muisspelletjes met leerlingen en studenten. Is dat nodig? ‘Gebruik de ruimte die ontstaat voor creatieve processen.’
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Abstract Aims: Medical case vignettes play a crucial role in medical education, yet they often fail to authentically represent diverse patients. Moreover, these vignettes tend to oversimplify the complex relationship between patient characteristics and medical conditions, leading to biased and potentially harmful perspectives among students. Displaying aspects of patient diversity, such as ethnicity, in written cases proves challenging. Additionally, creating these cases places a significant burden on teachers in terms of labour and time. Our objective is to explore the potential of artificial intelligence (AI)-assisted computer-generated clinical cases to expedite case creation and enhance diversity, along with AI-generated patient photographs for more lifelike portrayal. Methods: In this study, we employed ChatGPT (OpenAI, GPT 3.5) to develop diverse and inclusive medical case vignettes. We evaluated various approaches and identified a set of eight consecutive prompts that can be readily customized to accommodate local contexts and specific assignments. To enhance visual representation, we utilized Adobe Firefly beta for image generation. Results: Using the described prompts, we consistently generated cases for various assignments, producing sets of 30 cases at a time. We ensured the inclusion of mandatory checks and formatting, completing the process within approximately 60 min per set. Conclusions: Our approach significantly accelerated case creation and improved diversity, although prioritizing maximum diversity compromised representativeness to some extent. While the optimized prompts are easily reusable, the process itself demands computer skills not all educators possess. To address this, we aim to share all created patients as open educational resources, empowering educators to create cases independently.
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In dit artikel laten we zien hoe je de premiumversie van ChatGPT effectief kan inzetten voor het opstellen van een kwaliteitsverbeterplan. We delen praktische tips om de output te optimaliseren en bieden concrete voorbeelden van prompts en suggesties voor verdere verfijning. Op deze manier kan iedereen, ongeacht zijn of haar achtergrond, met vertrouwen aan de slag op het gebied van kwaliteitsverbetering.
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Het emotioneel ondersteunen van leraren is een van de grootste uitdagingen voor schoolleiders (Sapulete & Vrielink, 2020). Door het groeiende lerarentekort worden schoolleiders steeds vaker gedwongen een onevenredig groot deel van hun tijd te besteden aan logistieke vraagstukken, waardoor de focus op inhoudelijke ondersteuning steeds meer onder druk komt te staan. Hoe kan ChatGPT als tool gebruikt worden om schoolleiders te steunen bij de behoefte van leraren?
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