Abstract:

This talk describes how integrating text, learning objects and artificial intelligence chatbots improves doctoral training and allows doctoral researchers to avoid common pitfalls. This blend of tools offers an enhanced learning experience, and facilitates a deeper understanding and individual application of complex concepts.

Traditional textbooks, with QR codes and links to online resources developed on a Xerte platform enable doctoral researchers to access interactive and engaging learning materials to help them better get to grips with good practice in doctoral research. These online resources include multimedia elements, such as videos, animations, and simulations to provide a more dynamic and immersive learning experience.

Adding the power of artificial intelligence to that combination means that AI-powered chatbots can be used to provide personalized learning support based on the content of the other two platforms, answering questions, facilitating brainstorming and providing personalised guidance to researchers as they work through issues that the other two platforms can only address in a generic way.

With the availability of digital resources and AI-powered support, doctoral researchers can take control of their learning experience and work at their own pace. They can access materials that are tailored to their individual needs, and they can use tools monitor progress and identify areas for improvement. This autonomous and motivating approach to learning is particularly beneficial for doctoral researchers undertaking online doctoral programmes like the one used as a case study here.

Doctoral programmes which incorporate these technologies into their curriculum and support services, be they online or face-to-face, will be able to turbocharge the benefits they offer to cohort members.

After setting out the benefits of this integrated approach to doctoral learning resources in his presentation, Professor Trowler offers examples from his own modules on the PhD programme which he directs at Lancaster University, UK: Higher Education Research, Evaluation and Enhancement.

Finally, conference delegates will be invited to launch a critique of this approach, offering the other side of the argument.

Link to resources:
http://inted.paultrowler.com/
http://paultrowler.com/play.php?template_id=118

Keywords:

AI, Xerte, Blended, Doctoral, PhD.