GPT Powered Classroom

The advent of Language Model AI, particularly the ChatGPT, has revolutionized the way we interact with technology, taking the world by storm. This cutting-edge AI model, developed by OpenAI, has demonstrated an unprecedented ability to understand and generate human-like text, making it an accessible and flexible tool for a wide range of applications. In the realm of education, the potential of ChatGPT is immense. Its ability to provide instant, personalized responses makes it an ideal tool for facilitating learning. Whether it’s answering a student’s query, providing explanations on complex topics, or even acting as a virtual tutor for self-paced learning, ChatGPT can significantly enhance the educational experience. As we continue to explore and harness the power of ChatGPT, the future of education looks more engaging, interactive, and inclusive.

Personalised Learning

In the realm of education, the advent of AI-powered teachers, particularly those powered by ChatGPT, has opened up a world of possibilities. Imagine a teacher who is available 24/7, ready to answer any question a student might have. Unlike a traditional classroom, where teaching approaches are standardized, an AI-powered teacher can adapt to the unique “jagged profile” of each student. This means recognizing and complimenting the individual strengths and preferred learning styles of each student. No longer will advanced students be left feeling unchallenged, nor will struggling students be left behind. Instead, AI teachers can provide a tailor-made learning experience, allowing for mastery-based progression. Students only advance to the next topic once they have fully grasped the previous one. This adaptive learning approach also enables “just-in-time” learning, where students can tackle complex concepts exactly when they are needed. The use of ChatGPT in education is not just about harnessing the power of AI, but about creating a more personalized, engaging, and effective learning journey for every student.

GPT Learning Platform

Leveraging the power of the ChatGPT API, we are in the process of developing a Python-based platform designed to revolutionize teaching and training. Currently in the proof of concept stage, our initial prototype aims to create a personalized learning experience for each student. The platform begins by interacting with the learner, asking a series of questions to develop a unique learning profile. This profile helps determine the most effective teaching approach for the individual. Guided by the curriculum parameters and the student’s learning profile, the platform then embarks on the teaching process. When the student is ready, the system initiates assessments to gauge the learner’s mastery of the subject. These assessments are not just evaluative but also formative, providing valuable feedback to the learner and contributing to the overall learning process. Our goal is to create a dynamic learning platform that adapts to the needs of each student, ensuring an engaging and effective educational experience.

GPT Exam Grading

We are currently conducting an experiment to evaluate the potential of ChatGPT in rading open exam questions. Such questions, due to their interpretive nature, are typically time-consuming for human graders to evaluate. Automating this process could significantly enhance efficiency. Our experiment involves an exam on the theory of research methodology, completed by second-year students in their ICT program. These exams have already been graded by a team of lecturers. We are now using ChatGPT to grade these exams, guided by the same answer model used by the human graders. The goal is to assess the correlation between the grades assigned by ChatGPT and those given by its human counterparts.

Chat GPT teaching Math

As a Large Language Model, ChatGPT excels at generating and understanding text. However, when it comes to numerical calculations, it may occasionally falter. This is where a tool like Wolfram|Alpha comes into play. Unlike ChatGPT, Wolfram|Alpha is not primarily based on emulating human reasoning. Instead, it uses robust scientific methods and algorithmic computation to arrive at accurate answers, making it an ideal tool for solving mathematical problems.

By integrating the Wolfram|Alpha plugin with ChatGPT, we can leverage the strengths of both platforms. Wolfram|Alpha provides precise answers, while ChatGPT uses its language capabilities to explain the steps taken to reach these answers. ChatGPT can present the same calculation in various ways and clarify any step that the student finds challenging, a feat that Wolfram|Alpha alone cannot achieve. This approach holds immense promise, not only for teaching mathematics but also for explaining exact sciences like physics and chemistry. The ability to integrate plugins with ChatGPT significantly expands its capabilities, opening up a world of possibilities for enhancing the learning experience.

Academic contribution

The Data Innovation Hub is set to make a significant impact at the forefront of educational technology with Dr. Hani Alers’s participation in the esteemed 2023 EFMD Bachelor Programmes Conference in Budapest. This premier event is centered on the pivotal theme of “AI & Undergraduate Business Education: Where Are We and Where Are We Headed?”, providing an international stage for our latest research on AI-Powered Tailored Learning. Dr. Alers will present our breakthroughs in utilizing ChatGPT for personalized and accessible education, demonstrating the synergies between AI technology and the needs of contemporary undergraduate education. The conference is a congregation of academic and industry leaders, offering a vibrant forum for discussing strategic and operational best practices in AI education. Our presence at this conference is a testament to our dedicated pursuit of innovative educational solutions and our role in shaping the future of AI in academic settings. For more information visit the conference website:

Dr. Hani Al-Ers
Senior Researcher
Hani Al-Ers is a researcher in the field of human-machine interactions. He completed his PhD at the Delft University of Technology at the Interactive Intelligence group of the Faculty Computer Science (EEMCS). Philips Research in Eindhoven sponsored his project which was aimed at improving the user experience of Philips tv sets. He completed 2 post-docs at the Delft University of Technology, during which he managed international consortia on topics such as an improved quality of life for the elderly. Currently, he is conducting research in the field of health and education and he leads the Research Education activities at the Dutch Innovation Factory.