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Output from ChatGPT generating an essay draft. The usage of ChatGPT in education has sparked considerable debate and exploration. ChatGPT is a chatbot based on large language models (LLMs) that was released by OpenAI in November 2022. Educators' opinions vary widely; while some are skeptical about the benefits, many see them as valuable tools.
However, nearly half of those computing teachers asked (45%) said they were confident that generative AI was a tool that will improve teaching in their schools in the long term by helping to plan ...
According to ChatGPT's answer, AI can give student feedback in real time, create interactive educational content (videos, simulations and more), and create customized learning materials based on ...
These systems might be software-based or embedded in hardware. [8] They can be rely on machine learning or rule-based algorithms. [9] There is no single lens with which to understand AI in education (AIEd), but the genealogy of education and AI, [10] its promises and problematics [11] may assist with seeing the bigger picture.
Chegg, Inc., is an American education technology company based in Santa Clara, California. It provides homework help, digital and physical textbook rentals, textbooks, online tutoring, and other student services. [2] The company was launched in 2006, and began trading publicly on the New York Stock Exchange in November 2013.
Collaborative learning is a group-based learning approach in which learners are mutually engaged in a coordinated fashion to achieve a learning goal or complete a learning task. With recent developments in smartphone technology, the processing powers and storage capabilities of modern mobiles allow for advanced development and the use of apps.
Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020.. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]
To allow comparison with human performance, artificial intelligence can be evaluated on constrained and well-defined problems. Such tests have been termed subject-matter expert Turing tests. Also, smaller problems provide more achievable goals and there are an ever-increasing number of positive results.