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標(biāo)題: Titlebook: Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being; First International Azza Basiouni,Clau [打印本頁]

作者: hierarchy    時間: 2025-3-21 18:16
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作者: 馬籠頭    時間: 2025-3-21 20:55
Susanne Pickel,Gert Pickel,Detlef Jahnivity engenders a dynamic learning experience, transcending the boundaries of traditional classrooms. Additionally, ChatGPT’s language versatility ensures inclusivity in education. It bridges linguistic gaps, enabling multilingual interactions and content delivery. The AI’s role as a virtual tutor a
作者: Ingenuity    時間: 2025-3-22 03:18

作者: 熱心    時間: 2025-3-22 04:39

作者: peritonitis    時間: 2025-3-22 09:15
Mikrobasierte Verfahren der Datenanalyse,h, addressing ethical concerns related to data privacy, algorithmic bias, and the integrity of AI outputs. This study explores both the potential and challenges of GI, providing a balanced perspective on its role in enhancing educational outcomes and shaping future educational practices.
作者: 專橫    時間: 2025-3-22 13:58
Mikrobasierte Verfahren der Datenanalyse,neration, and create student learning experience types for individuals but challenges to its successful implementation such as AI errors, biases and lack of AI experts lead to significant limitations. Proposed solutions include courses and AI teams, creating AI-integrated courses, and providing trai
作者: 有危險    時間: 2025-3-22 20:36

作者: 變白    時間: 2025-3-22 22:33
https://doi.org/10.1007/978-3-531-91331-5essment items related to a given value of entropy or scoring equilibrium between the scores chosen for the items. The purpose of this analysis is to obtain an optimal score configuration for an item which can offer chosen score equilibrium between the options score and which could give the opportuni
作者: Exclude    時間: 2025-3-23 01:51
https://doi.org/10.1007/978-3-531-91331-5t tests on several nodes within a network, where each node has generative tasks. Moreover, they have been successfully applied and solved a wide range of problems, including scheduling, routing, and load balancing in distributed systems. This article also presents a comparative analysis of GA perfor
作者: 支架    時間: 2025-3-23 05:45

作者: Postulate    時間: 2025-3-23 12:38

作者: 無表情    時間: 2025-3-23 14:19

作者: REIGN    時間: 2025-3-23 20:48
Mikrobasierte Verfahren der Datenanalyse,tions where machine learning models predict mental health crises from patterns in user data. Additionally, AI‘s integration into physical health apps that track and analyse user activity and physiological data highlights its role in promoting healthier lifestyle choices and preventive healthcare pra
作者: 云狀    時間: 2025-3-23 23:39

作者: cringe    時間: 2025-3-24 03:37
https://doi.org/10.1007/978-3-322-85952-5 out the factors that define the use and adoption of generative AI and its effects on other social sustainability factors like education, diversity, and readiness. The study therefore assists in filling gaps within the literature on AI in education and is beneficial for students, policymakers, educa
作者: OTHER    時間: 2025-3-24 10:06
https://doi.org/10.1007/978-3-322-85952-5adaptability to online education. The model‘s performance was evaluated using accuracy, precision, recall, and F1-score metrics. The Random Forest model achieved an accuracy of 88.3%. It showed high precision and recall for the ‘High’ and ‘Moderate’ adaptability classes but lower performance in pred
作者: Modify    時間: 2025-3-24 11:25

作者: 幼稚    時間: 2025-3-24 17:50
https://doi.org/10.1007/978-3-322-85952-5ayers with ReLU activation functions and dropout layers to prevent overfitting. The model is trained over 200 epochs with a batch size of 5, utilizing the Adam optimizer and categorical cross-entropy loss function. The results demonstrate the chatbot’s high accuracy and effectiveness, achieving an a
作者: Neuropeptides    時間: 2025-3-24 22:27

作者: Hippocampus    時間: 2025-3-25 00:52

作者: 挑剔小責(zé)    時間: 2025-3-25 03:49
,Empowering the Metaverse in Education: ChatGPT’s Role in Transforming Learning Experiences,ivity engenders a dynamic learning experience, transcending the boundaries of traditional classrooms. Additionally, ChatGPT’s language versatility ensures inclusivity in education. It bridges linguistic gaps, enabling multilingual interactions and content delivery. The AI’s role as a virtual tutor a
作者: Exploit    時間: 2025-3-25 09:18
Effectiveness of Logistic Regression for Sentiment Analysis of Tweets About the Metaverse, remains a robust tool for sentiment analysis in social media contexts, offering significant implications for businesses and developers interested in the public perception of new technologies such as the Metaverse.
作者: 抱負(fù)    時間: 2025-3-25 12:38

作者: 蕨類    時間: 2025-3-25 16:01

作者: foppish    時間: 2025-3-25 22:16

作者: 清洗    時間: 2025-3-26 01:02
,Comparative Performance of?GPT-4, RAG-Augmented GPT-4, and?Students in?MOOCs,dings suggest the potential of RAG in enhancing AI models for educational use and indicate that instructors can leverage this technology to refine assessment methods and that students can achieve more personalized and engaging learning experiences.
作者: 愛哭    時間: 2025-3-26 06:08

作者: right-atrium    時間: 2025-3-26 09:05

作者: GRAZE    時間: 2025-3-26 13:47
New Paradigm Shift to STEM Education in the United Arab Emirates, relative difficulty, complexity, and depth hierarchy. Going higher in the qualification’s framework levels hierarchy means excellent challenges will be faced, advanced knowledge and skills are required, and high demand is expected of a student.
作者: 善辯    時間: 2025-3-26 18:26

作者: 博識    時間: 2025-3-26 21:11

作者: Generic-Drug    時間: 2025-3-27 01:58

作者: 原諒    時間: 2025-3-27 09:19
A Transformer-Based Generative AI Model in Education: Fine-Tuning BERT for Domain-Specific in Studeswers about advising high school students toward their future. This transformer, takes the input as a pair from the context and the question, and the output defined with the start and end positions of the answer in the context. Accordingly, the collected dataset is converted into json file, and then
作者: dandruff    時間: 2025-3-27 10:14

作者: podiatrist    時間: 2025-3-27 17:13

作者: discord    時間: 2025-3-27 18:32
Predicting Student Retention in Higher Education Using Machine Learning,categorical variables and scale numerical features, hyperparameter tuning using GridSearchCV to optimize the model, and evaluation of the model‘s performance using metrics such as accuracy, precision, recall, F1-score, and ROC curves. Visualizations were generated to provide deeper insights into the
作者: 爭論    時間: 2025-3-27 23:03
Building and Evaluating a Chatbot Using a University FAQs Dataset,ayers with ReLU activation functions and dropout layers to prevent overfitting. The model is trained over 200 epochs with a batch size of 5, utilizing the Adam optimizer and categorical cross-entropy loss function. The results demonstrate the chatbot’s high accuracy and effectiveness, achieving an a
作者: 根除    時間: 2025-3-28 03:28

作者: Obvious    時間: 2025-3-28 06:17
Conference proceedings 2024cietal implications of GI. Participants learned to tackle social concerns and promote diversity in research and development through keynote presentations, panel discussions, and interactive workshops..
作者: Concrete    時間: 2025-3-28 10:41
Carsten Q. Schneider,Claudius Wagemanne fore alarming predictions about its effects. This paper aims to describe the opportunities emerging from the use of artificial intelligence and ChatGPT to improve education, but also to provide an early assessment of ChatGPT in education.
作者: circuit    時間: 2025-3-28 15:23
Applications, Challenges and Early Assessment of AI and ChatGPT in Education,e fore alarming predictions about its effects. This paper aims to describe the opportunities emerging from the use of artificial intelligence and ChatGPT to improve education, but also to provide an early assessment of ChatGPT in education.
作者: FER    時間: 2025-3-28 21:54
1865-0929 eld in Thessaloniki, Greece, on June 10, 2024.?This Workshop is part of the 20th International Conference on Intelligent Tutoring Systems (ITS2024) which was held in Thessaloniki, from June 10 to June 13, 2024...The 19 full papers and 1 short paper included in this volume were carefully reviewed and
作者: 不透明性    時間: 2025-3-28 22:53

作者: intrude    時間: 2025-3-29 03:48

作者: 提升    時間: 2025-3-29 08:32
,Empowering the Metaverse in Education: ChatGPT’s Role in Transforming Learning Experiences,ole of ChatGPT, an advanced AI-powered language model, in enhancing the Metaverse’s impact on education. The Metaverse represents a digital convergence of physical and virtual realities, fostering immersive and interactive environments. ChatGPT’s integration into this space introduces a novel dimens
作者: 極端的正確性    時間: 2025-3-29 13:41
Effectiveness of Logistic Regression for Sentiment Analysis of Tweets About the Metaverse,g technologies like the Metaverse. While various models have been employed to perform sentiment analysis, there is a need to assess the effectiveness of traditional machine learning approaches, specifically Logistic Regression (LR), given its advantages in terms of simplicity and interpretability. T
作者: EWER    時間: 2025-3-29 17:28
How Students Learn by Validating ChatGPT Responses,reliable and valid human-generated content material. By applying an ecologically valid but not controlled experimental design we asked students to individually choose to work on an assignment either before (N?=?80) or after (N?=?42) a course written examination session. The assignment included four
作者: 鍍金    時間: 2025-3-29 23:37

作者: 擺動    時間: 2025-3-30 02:54

作者: TRACE    時間: 2025-3-30 07:00

作者: ORBIT    時間: 2025-3-30 11:40
,The Optimisation of?Genetic Assessment Test Generation Based on?Fuzzy Scoring,is way, the fidelity of the assessment is ensured. In this matter, this paper presents the description and potential results of a model that determines a recognition of a detailed knowledge report related to the assessment topic, including the situation of partial knowledge. Thus, a model that detai
作者: CLIFF    時間: 2025-3-30 14:30
,Analyzing the?Performance of?Distributed Web Systems Within an?Educational Assessment Framework,ributed systems performance analysis pertains to educational assessment domains. Genetic algorithms (GA) offer a promising approach for automating the optimization process. In this study, the GA is used to generate educational assessment tests within an educational framework. The assessment tests ar
作者: condescend    時間: 2025-3-30 20:22

作者: BRAND    時間: 2025-3-30 20:49
Exploring the Role of Generative AI in Medical Microbiology Education: Enhancing Bacterial Identifimust be proficient in laboratory skills since they play a critical part in the diagnostic process. Using appropriate microscope techniques, one must be able to identify a wide range of pathogens, including bacteria, viruses, parasites, and fungi. Traditional methods of skill development include on-c
作者: 群島    時間: 2025-3-31 01:55

作者: 激勵    時間: 2025-3-31 06:12

作者: accordance    時間: 2025-3-31 09:34
A Transformer-Based Generative AI Model in Education: Fine-Tuning BERT for Domain-Specific in StudeGenerative Pre-trained Transformer (GPT) and their variations models. Despite the fact that these training methods are responsible to have an effective language model, but the computational cost will be very expensive for performing any NLP tasks. Accordingly, the fine-tuning plays an essential role
作者: Morphine    時間: 2025-3-31 15:21
A Statistical Analysis to Investigate the Factors Affecting Generative AI Use in Education and Its s on society remain uncertain. This research focuses on the key factors that affect generative AI in students’ learning integration and its impact on social sustainability. The central problem is the lack of understanding regarding integrating generative AI in education and its broader social sustai
作者: 勉勵    時間: 2025-3-31 20:27

作者: CLIFF    時間: 2025-4-1 00:13

作者: hematuria    時間: 2025-4-1 03:06

作者: 解脫    時間: 2025-4-1 07:08
,Comparative Analysis of Classical Machine Learning Techniques for Predicting Students’ Exam Performc success or failure. Accurate prediction models can help educators and policymakers develop interventions to improve student outcomes. Despite the availability of various machine learning techniques, there remains a need for a comprehensive comparison of these methods applied to a single dataset. T
作者: DUST    時間: 2025-4-1 12:26
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/192754.jpg
作者: 激怒某人    時間: 2025-4-1 17:03





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