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001-es BibID:	BIBFORM125561
Első szerző:	Szilágyi Szabolcs (mérnök-informatikus)
Cím:	Increasing Teacher Efficiency with AI: An Overview / Szilágyi Szabolcs, Juhász Laura
Dátum:	2024
ISSN:	1844-6043 2067-2101
Megjegyzések:	Artificial intelligence (AI) research aims to model the way human thinking works, in an attempt to reproduce abilities such as learning, decision-making and problem-solving. The concept of artificial intelligence is not a new one, research on it began in the 1950s when Alan Turing formulated the Turing test, a test to measure the intelligence of a machine. Major milestones in AI research include the creation of the first artificial neural networks in the 1950s and the first game programs in the 1960s. In the 1970s, the algorithms and techniques that still form the basis of AI today, such as machine learning and symbolic AI, began to emerge. The real breakthrough came with the integration of AI into everyday use in the 1990s and early 2000s. With the rise of the internet and the digitalization of data, AI has spread to a wide range of areas, including internet search engines, recommendation systems, online shopping algorithms and virtual assistants in smartphones. In the 2010s, AI continued to make significant progress in areas such as autonomous vehicles, medicine and robotics. AI-based language models, such as the GPT-3.5 used by ChatGPT, later upgraded to GPT-4 base models, published in November 2022, are increasingly becoming part of our daily lives and across industries are being used in a growing number of fields to facilitate intelligent communication and human-machine interaction. In this paper, we are focusing on AI-based support for teachers. We will explore areas where AI can be effectively used to increase the efficiency of teachers' work, enumerating some AI-based solutions that can greatly contribute to relieving teachers of their daily routine tasks.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk artificial intelligence (AI) AI tools ChatGPT LLM prompt engineering
Megjelenés:	Journal of Computer Science and Control Systems. - 17 : 2 (2024), p. 9-14. -
További szerzők:	Juhász Laura (1993-) (fizikus)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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