Examples of AI Tools Artificial Intelligence in Teaching and Learning University of Bolton Library at The University of Bolton

Reinforcement learning – a process whereby a deep learning model learns to become more accurate at a specific task based on feedback. The process by which it improves its accuracy is called backpropagation. Data tagging – a process in data classification and categorisation, in which digital ‘tags’ are added to data containing metadata. In the context of generative AI, training data for Large Language Models is tagged by humans so the AI can learn whether to include or exclude it from its responses. This may be to comply with legal requirements, or ethical and moral codes.

Machine Learning – The capacity of computers to adapt and improve their performance at a task, without explicit instructions, by incorporating new data into an existing statistical model. Artificial General Intelligence (AGI) – the theoretical ability for computers to simulate general human intelligence, including the ability to think, reason, perceive, infer, hypothesise, but with fewer errors. This is not yet reality, but is the goal of many large AI research enterprises. I acknowledge the inclusion of outputs from in this work, in modified form. We recommend that Module Leads place a statement in the assessment section of their relevant student handbooks and Blackboard sites outlining any restrictions or guidelines related to the use of AI on that module.

Intuitive chatbots in the HE sector

The cynic in me thought there was no way a chatbot could produce something good enough to fool teachers or examining boards. So I put this to the test with a couple of non-scientific experiments – and here are the results. A recent review by O’Connor (2022) found that AI was being used to predict student attrition from nursing https://www.metadialog.com/ courses, academic failure rates, and graduation and completion rates. This can be useful for students to quickly understand the main points of a course materials, papers, textbooks, or lecture notes. Comparing your summary and the AI summary will make sure that you understand the content enough to condense it in this way.

The above could imply that it is even more difficult for companies to protect their intellectual property, as counterfeiters could use advanced text generators to create documents that look authentic, but are in fact counterfeit. This could necessitate a change of approach in IP protection, with the adoption of more advanced security techniques, such as cryptography or blockchain. To show how the programme works, Tian posted two videos on Twitter (5) comparing the educational chatbot examples analysis of a New Yorker article and a letter written by ChatGPT. In both cases, the app was able to correctly identify their human and artificial origin. Another classifier that appears to be more effective is the one created by Princetown student Edward Tian, who released the first version in January of GPTZero. Watermarking is a security technique used to protect intellectual property, particularly digital documents, from unauthorised use and counterfeiting.

LEARNING TO USE ARTIFICIAL INTELLIGENCE EFFECTIVELY

AI models can also generate responses that may be inappropriate, offensive, or biased, leading to ethical and reputational issues. These risks will not prevent campus communities from using a product that simplifies their daily lives. But training and awareness campaigns can mitigate these risks substantially.

• “LSE acknowledges the potential threat that generative Artificial Intelligence Tools (AI) may pose to academic integrity, and takes a pro-active and methodical approach to the prevention and detection of assessment misconduct.
• Just make sure that the bot is integrated with your complete infrastructure, and that all endpoints are integrated.
• These tutoring systems can also cater to the needs of neurodivergent students who may have learning disabilities and help all students understand difficult topics and subjects by customising their learning plans.
• Plus, by offering chatbot-exclusive discount codes, i.e., FRESHBOT25, they can track exactly how many customers they are getting through their chatbot.

These could be integrated into learning management systems, like Blackboard, Canvas or Moodle, to detect AI writing and deter academic misconduct. However, detection tools may not be able to keep up with the pace of change as generative AI becomes ever more sophisticated. Relying on software to spot the use of AI in students’ written work or other assessments may be fruitless, and trying to determine where the human ends and the AI begins may be “pointless and futile” (Eaton, 2023). You can divide workloads according to the capability of each member of the group and build on ideas the AI gives you.