Leveraging the Potential of Generative AI to Accelerate Systematic Literature Reviews: An Example in the Area of Educational Technology DOI
Pablo Castillo-Segura, Carlos Alario‐Hoyos, Carlos Delgado Kloos

и другие.

2021 World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC), Год журнала: 2023, Номер unknown, С. 1 - 8

Опубликована: Окт. 23, 2023

Generative Artificial Intelligence (AI) is dramatically changing the way people work in many industries, including academia. Beyond its use for teaching, generative AI can also have a major impact on accelerating research processes. For example, facilitate identification of relevant articles when conducting systematic literature review (SLR). This article compares six AIs (Forefront, GetGPT, ThebAI, Claude, Bard, and H2O) with their respective large language models (LLMs) classifying 596 screening phase an SLR. SLR aimed at exploring development non-technical skills support technology field medical education. Forefront LLM GPT-4 was that obtained better results. The this expected to contribute towards automating some phases SRLs. Nevertheless, it important keep mind limitations associated used research, such as rapid changes LLMs are currently undergoing, or potential restrictions number requests per minute receive well geographical location (since not all these available countries).

Язык: Английский

Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective DOI

Pooriya Jamie,

Reyhaneh Hajihashemi,

Sharareh Alipour

и другие.

Опубликована: Апрель 23, 2025

Язык: Английский

Процитировано

0
Leveraging the Potential of Generative AI to Accelerate Systematic Literature Reviews: An Example in the Area of Educational Technology DOI
Pablo Castillo-Segura, Carlos Alario‐Hoyos, Carlos Delgado Kloos

и другие.

2021 World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC), Год журнала: 2023, Номер unknown, С. 1 - 8

Опубликована: Окт. 23, 2023

Generative Artificial Intelligence (AI) is dramatically changing the way people work in many industries, including academia. Beyond its use for teaching, generative AI can also have a major impact on accelerating research processes. For example, facilitate identification of relevant articles when conducting systematic literature review (SLR). This article compares six AIs (Forefront, GetGPT, ThebAI, Claude, Bard, and H2O) with their respective large language models (LLMs) classifying 596 screening phase an SLR. SLR aimed at exploring development non-technical skills support technology field medical education. Forefront LLM GPT-4 was that obtained better results. The this expected to contribute towards automating some phases SRLs. Nevertheless, it important keep mind limitations associated used research, such as rapid changes LLMs are currently undergoing, or potential restrictions number requests per minute receive well geographical location (since not all these available countries).

Язык: Английский

Процитировано

9