Applications of Generative AI in Lesson Preparation and Content Development
Adebowale Owoseni (),
Oluwaseun Kolade () and
Abiodun Egbetokun
Additional contact information
Adebowale Owoseni: De Montfort University
Oluwaseun Kolade: Sheffield Hallam University
Chapter Chapter 2 in Generative AI in Higher Education, 2024, pp 27-62 from Springer
Abstract:
Abstract This chapter explores how educators can use generative AI (GenAI) to support and enhance both the development of teaching content and the preparation to deliver the content. The chapter begins with a conceptualisation of teaching as a combination of routine tasks which can be easily automated and specialised tasks in which the nuanced knowledge, expertise, and experience of the educator are compulsory. GenAI tools are viewed as enablers that make it easier for educators to prepare for and to deliver personalised, engaging, and high-quality educational experiences. With the aid of several practical cases using ChatGPT, the chapter provides a clear and detailed guide on how GenAI can be applied to facilitate curriculum development, support lesson preparation, and automate content creation. The broader message of the chapter is that integrating GenAI into lesson preparation and content development helps educators to save a lot of time from routine tasks. They can then invest the saved time on enriching course content and elevating student engagement. With this, education will remain relevant, adaptive, and aligned with the demands of the twenty-first century.
Keywords: Generative AI; ChatGPT; Curriculum; Lesson preparation; Content development; Higher education; Pedagogical innovation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-60179-8_2
Ordering information: This item can be ordered from
http://www.springer.com/9783031601798
DOI: 10.1007/978-3-031-60179-8_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().