Опубликована: Янв. 1, 2024
Язык: Английский
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Март 8, 2024
Abstract This study evaluates the effectiveness of Mistral Large Language Model (LLM), enhanced with Retrieval-Augmented Generation (RAG), in automating process conducting literature reviews, comparing its performance traditional human-led review processes. Through a methodical analysis 50 scientific papers from OpenReview platform, investigates model's efficiency, scalability, and quality review, including coherence, relevance, analytical depth. The findings indicate that while LLM significantly surpasses human efforts terms efficiency it occasionally lacks depth attention to detail characterize reviews. Despite these limitations, model demonstrates considerable potential standardizing preliminary suggesting hybrid approach where LLM's capabilities are integrated expertise enhance process. underscores necessity for further advancements AI technology achieve deeper insights highlights importance addressing ethical concerns biases AI-assisted research. integration LLMs like presents promising avenue redefining academic research methodologies, pointing towards future intelligence collaborate advance scholarly discourse.
Язык: Английский
Процитировано
11
Sustainability, Год журнала: 2024, Номер 16(12), С. 4929 - 4929
Опубликована: Июнь 8, 2024
This paper explores the contribution of custom-trained Large Language Models (LLMs) to developing Open Education Resources (OERs) in higher education. Our empirical analysis is based on case a custom LLM specialized for teaching business management has been conceptualized as virtual companion, aimed serve an OER, and trained using authors’ licensed educational materials. It designed without coding or machine learning tools commercially available ChatGPT Plus tool third-party Artificial Intelligence (AI) chatbot delivery service. new breed AI potential wide implementation, they can be by faculty only conventional prompting techniques plain English. focuses opportunities LLMs create Educational democratize academic learning. approach evaluation mixed-mode approach, combining qualitative expert opinions with subsequent (quantitative) student survey. We have collected analyzed responses from four subject experts 204 students at Faculty Economics, Business Tourism Split (Croatia) Economics Mostar (Bosnia Herzegovina). used thematic segment our research. In quantitative research, we statistical methods SPSS 25 software package analyze modified BUS-15 questionnaire. Research results show that positively evaluate consider it useful responsive. However, interviewed raised concerns about adequacy answers complex queries. They suggested lags behind generic (such ChatGPT, Gemini, others). These findings suggest might OERs their training data, conversational capabilities, technical execution, response speed must monitored improved. Since this research presents novelty extant literature education, requires further GPTs including use multiple disciplines contexts.
Язык: Английский
Процитировано
6
Information, Год журнала: 2025, Номер 16(2), С. 117 - 117
Опубликована: Фев. 7, 2025
The emergence of generative artificial intelligence (GAI) has revolutionized numerous aspects our lives and presents significant opportunities in education. However, specific digital competencies are essential to effectively leverage this technology’s potential. Notably, prompt engineering proficiency a barrier achieving optimal outcomes. In response, various solutions being developed, including custom GPTs available through OpenAI’s ChatGPT platform. This study validates ‘GamifIcA Edu’, specialized GPT-based assistant for gamification serious games, designed enable educators implement these pedagogical approaches without requiring advanced expertise. is achieved the utilization pre-designed instructional frameworks. assistant’s effectiveness was evaluated using comprehensive rubric across five distinct use-case scenarios. Each scenario underwent four different tests, representing varied learning contexts multiple academic disciplines. validation methodology involved systematic assessment performance diverse educational settings. findings demonstrate successful implementation custom-designed GPT, which generated contextually appropriate responses natural language interactions, thus eliminating need complex structures. research highlights potential instruction-based design development AI assistants that empower users with limited knowledge achieve expert-level results. These have implications democratization AI-enhanced tools.
Язык: Английский
Процитировано
0
Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 234 - 252
Опубликована: Апрель 19, 2024
This chapter examines in detail the socioscientific (SS) dimensions of widespread use artificial intelligence (AI) higher education. As a result, it was emphasized that AI education should be discussed as topic with its features such ethical and moral issues, complexity, uncertainty issues. It is recommended university administrations take urgent measures against negativities may occur near future both society, to open issue discussion at international level from perspective SS. In particular, determining legal framework setting standards soon possible very important order minimize negative effects rapidly developing benefit advantages positive aspects without fear. Both students academics informed about conscious precautions taken effects. Thus, organizing trainings can solve problems short term.
Язык: Английский
Процитировано
2
International Journal of Applied Engineering and Management Letters, Год журнала: 2024, Номер unknown, С. 39 - 55
Опубликована: Янв. 25, 2024
Purpose: AI-Based Generative Pre-trained Transformers (GPT) including ChatGPT of OpenAI and Bard Google are becoming popular in many industry sectors Education, Research, Publications. Innovative users discovered more uses for such GPTs, even though the main goals their design development were to translate publicly available information from languages a chosen language customers or create highly versatile adaptable model capable understanding generating text that resembles human. By utilizing extensive pre-training on variety datasets, GPT models seek achieve superior performance natural interpretation tasks. Methodology: An exploratory research method is used analyse collected as per keywords using search engine, Scholar AI-driven engines. Result Analysis: In this paper, comprehensive analysis user-found innovative applications GPTs primary sector, secondary tertiary quaternary sector. Furthermore, some Smart-Innovative based users’ strategy identifying opportunities make effective usage Teaching-learning responsibilities Research & Publications Higher education industry. Originality/Value: The paper discuses these smart-innovative application identified by teachers researchers use AI-based academics publications other than its objectives translation, order them improve academic publication productivity. Type Research: Exploratory Research.
Язык: Английский
Процитировано
1
Management of Education, Год журнала: 2024, Номер 14(9-2), С. 151 - 161
Опубликована: Сен. 30, 2024
В статье приведены результаты обзора основных возможностей использования искусственного интеллекта (ИИ) для преподавателей в системе высшего и послевузовского образования. Модели цифровые сервисы на основе ИИ могут быть использованы планировании учебного процесса, разработке проектировании учебных курсов занятий, создании образовательного контента, автоматической проверке оценивании, аналитике, качестве виртуальных помощников решения множества разнообразных задач. Несмотря имеющиеся достоинства ИИ, он имеет недостатки, которые необходимо решать учитывать при принятии решений о возможном применении The article presents the results of a review main possibilities using artificial intelligence (AI) for teachers in higher and postgraduate education. AI-based models digital services can be used planning educational process, development design training courses classes, creation content, automatic verification evaluation, analytics, as virtual assistants to solve variety tasks. Despite advantages AI, it also has disadvantages that need addressed taken into account when making decisions about possible use AI
Язык: Русский
Процитировано
0
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0