Abstract
This chapter explores possible ways educators can use generative AI tools and support to empower them in teaching and learning. In addition, the authord provide samples of appropriate prompts for educators to produce desired responses. With the potential of generative AI to create unique content instantly based on existing large datasets, educators can use it to co-create instructional content, enhance personalized learning experiences, evaluate learners' performances, and more. While highlighting the potential of generative AI, the authors also address the challenges that educators may face when using these tools. As generative AI is gaining popularity in classrooms, it has the potential to empower educators to revolutionize their teaching and transform education.
TopIntroduction To Generative Ai
Since the invention of computers, humans have wondered how to push it further to augment human existence. Conversations on whether computers can think, and whether they will one day overtake humans, have been a subject of academic scholarship, science fiction, and various movies. The conversation gained further attention due to the works of luminaries such as Alan Turing, a mathematician whose work in computer science is often cited as the earliest work around Artificial Intelligence. Turing wondered that if humans could use the information they have available to solve problems and make decisions, then why could it not be possible for machines? (Anyoha, 2017). Turing’s wonderment may have remained just that at the time because, in the 1950s, computer capacity and capability were limited. This is no longer the case because technological advancements are making it possible to bring to life what scientists of yesteryears could only imagine. An example of this is the introduction of Chat Generative Pre-trained Transformer (ChatGPT) on 30th November 2022, a large language model-based chatbot developed by OpenAI that propelled the dialogue on generative AI into the everyday.
The rise of generative artificial intelligence (AI) has excited many because of its capability to create unique content using natural language processing and large language models (Bozkurt, 2023). These models are trained on large datasets and can understand, interpret, and generate human-like language with high accuracy (Kasneci, 2023; Su & Yang, 2023). Due to the advancement of technology, AI can be utilized in education through various techniques such as advising systems for educators, intelligent tutoring systems for learners, generating content systems, and adapting systems for individual users (Morel & Spector, 2022). Generative AI platforms can also be valuable co-creation technologies for educators to generate instructional content from appropriate prompts (Bozkurt & Sharma, 2023). By leveraging the potential of generative AI, educators can implement its tools and support to enhance education (Kasneci, 2023).
This chapter guides educators to acknowledge the benefits of generative AI tools and support as well as to use appropriate prompts for generating AI responses in teaching and learning. Despite the potential of generative AI, educators still lack knowledge on how to use it responsibly and successfully (Kasneci, 2023). Therefore, the chapter demonstrates opportunities and challenges of using generative AI as well as suggested suitable prompts that educators can use when communicating with generative AI. When educators incorporate generative AI in their teaching preparation and strategies through effective prompts, learners can benefit from the motivational content and effective instructional strategies that are produced. Generative AI can positively impact learning outcomes (Kadaruddin, 2023).
Key Terms in this Chapter
Challenges: New or difficult circumstances that educators may face when using generative AI in classrooms. The challenges are, for example, competencies in using generative AI, accuracy, and ethical concerns.
Artificial Intelligence (AI): The development of machines, especially computer systems, that simulate human intelligence. It focuses on main activities such as knowledge learning, reasoning, and representation. Examples of AI applications are natural language processing, expert systems, and speech recognition.
Educator: A person who provides education or instruction. An educator is skilled in teaching. The role of educator is to encourage, support, and enable learners to desire to study.
Generative AI Prompt: Any form of question, text, or information that communicates to AI. An example of a generative AI prompt is “Create a social media post for New Year.”
Generative AI: A short term of Generative Artificial Ingelligence, which is a category of artificial intelligence. Unlike some other AI approaches that concentrate on analyzing and describing existing data, generative AI is designed to produce new and unique content such as texts and images. It can be used in various applications including content generation, art creation, feedback provision, and more.
Prompt Engineering: A process of making generative AI tools to produce better output. It focuses on accuracy and effectiveness of generative AI.
Generative AI Tools and Support: The use of advanced machine learning techniques, generally deep learning models. These models learn to generate new content by training on massive datasets. Generative AI tools and support are, for example, Chat GPT, Bard, and DALL-E-2.
Opportunities: Circumstances that educators can use generative AI in teaching and learning in order to transform education. The opportunities are, for example, brainstorming ideas for teaching, creating educational content, supporting learners in real-time, and evaluating learners’ performance.
Empower: An action to give educators the authority to use generative AI tools and support with more confident in teaching and learning.