標題: Titlebook: Generative Intelligence and Intelligent Tutoring Systems; 20th International C Angelo Sifaleras,Fuhua Lin Conference proceedings 2024 The E [打印本頁] 作者: 恐怖 時間: 2025-3-21 17:35
書目名稱Generative Intelligence and Intelligent Tutoring Systems影響因子(影響力)
書目名稱Generative Intelligence and Intelligent Tutoring Systems影響因子(影響力)學科排名
書目名稱Generative Intelligence and Intelligent Tutoring Systems網絡公開度
書目名稱Generative Intelligence and Intelligent Tutoring Systems網絡公開度學科排名
書目名稱Generative Intelligence and Intelligent Tutoring Systems被引頻次
書目名稱Generative Intelligence and Intelligent Tutoring Systems被引頻次學科排名
書目名稱Generative Intelligence and Intelligent Tutoring Systems年度引用
書目名稱Generative Intelligence and Intelligent Tutoring Systems年度引用學科排名
書目名稱Generative Intelligence and Intelligent Tutoring Systems讀者反饋
書目名稱Generative Intelligence and Intelligent Tutoring Systems讀者反饋學科排名
作者: 生氣地 時間: 2025-3-22 00:09
https://doi.org/10.1007/978-3-319-13057-6ervention may benefit the user’s actions. To evaluate this approach, we used real behavioral data from students engaged in solving arithmetic mathematical problems. The experimental results demonstrate the effectiveness of the proposed method, reaching an AUC of 0.84 when predicting whether the student needs help.作者: 記憶 時間: 2025-3-22 03:03 作者: 自愛 時間: 2025-3-22 08:16
Wie Sie Marketingleiter werden,d semi-structured interviews and analyzed participant responses to understand the role of prompt engineering in self-directed learning. The analysis revealed that structured prompts and Generative AI motivate students and empower them to learn independently.作者: 面包屑 時間: 2025-3-22 12:20
A Generative Approach for?Proactive Assistance Forecasting in?Intelligent Tutoring Environmentservention may benefit the user’s actions. To evaluate this approach, we used real behavioral data from students engaged in solving arithmetic mathematical problems. The experimental results demonstrate the effectiveness of the proposed method, reaching an AUC of 0.84 when predicting whether the student needs help.作者: 預防注射 時間: 2025-3-22 13:24
Jill Watson: Scaling and?Deploying an?AI Conversational Agent in?Online Classroomsechnical College System of Georgia. We have found that Jill Watson enhances the positives of conversational courseware (such as answering questions and engaging in conversations anytime and anyplace) and suppresses the negatives of large language models (such as biases and hallucinations).作者: 預防注射 時間: 2025-3-22 17:13 作者: predict 時間: 2025-3-22 21:24 作者: defendant 時間: 2025-3-23 02:50 作者: 遺棄 時間: 2025-3-23 08:48
0302-9743 tems, ITS 2024, held in Thessaloniki, Greece, during? June 10–13, 2024...The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows:?Generative Inte作者: 挖掘 時間: 2025-3-23 09:41 作者: Abjure 時間: 2025-3-23 15:50 作者: 效果 時間: 2025-3-23 21:20 作者: Glutinous 時間: 2025-3-23 23:17
Alex M. Greenberg,Joachim Preinsment in real-world learning scenarios. Through our detailed analysis of the QuizMaster architecture, we demonstrate how to leverage reinforcement learning and generative intelligence in the development of systems for formative assessment.作者: Noctambulant 時間: 2025-3-24 04:18 作者: 護航艦 時間: 2025-3-24 08:18
Using Large Language Models to?Support Teaching and?Learning of?Word Problem Solving in?Tutoring Systerms of their ability to provide the correct solution for specific conceptual schemes. Beyond their potential as a problem-solving tool, the research presented opens the door to using LLMs for the implementation of virtual agent-based students.作者: Notorious 時間: 2025-3-24 14:35 作者: Obvious 時間: 2025-3-24 17:53
SAMI: An AI Actor for?Fostering Social Interactions in?Online Classrooms” felt by the students in the community of online students. SAMI has been deployed at Georgia Institute of Technology in several online classes with over 11000 students in the past two years. We describe our findings from student surveys to gauge SAMI’s effectiveness.作者: Canyon 時間: 2025-3-24 19:51
Using Large Language Models to?Support Teaching and?Learning of?Word Problem Solving in?Tutoring Sys-solving. In this paper, we examine the potential of a large variety of open models for solving different types of arithmetical problems and discuss the potential implications for the development of Intelligent Tutoring Systems (ITSs). The results reported show that relatively small LLMs are able to作者: 縱火 時間: 2025-3-25 02:29
A Generative Approach for?Proactive Assistance Forecasting in?Intelligent Tutoring Environmentsng effectiveness. However, numerous studies on student behavior have revealed that they may not consistently utilize help-seeking functions. Deciding when a system should assist students during the dynamic learning process poses a challenge. We propose a new approach called Transformer4HELP, which e作者: 容易生皺紋 時間: 2025-3-25 06:52
Combined Maps as?a?Tool of?Concentration and?Visualization of?Knowledge in?the?Logic of?Operation ofs important for making reasoned decisions that are considered credible by a human learner. Various approaches to data concentration and visualization are considered, among which mapping has a special place. Using the example of the Cognitive Maps of Knowledge Diagnosis (CMKD) method, it is shown how作者: dissolution 時間: 2025-3-25 07:42 作者: Mingle 時間: 2025-3-25 14:42
QuizMaster: An Adaptive Formative Assessment Systeme during students’ course study. QuizMaster reduces learner time spent on assessment and accelerates formative feedback delivery. Leveraging a Multi-Armed Bandit algorithm for question sequencing and feedback, it ensures intelligent assessment processes. Additionally, we employ Large Language Models作者: lambaste 時間: 2025-3-25 18:37
Preliminary Systematic Review of Open-Source Large Language Models in Education preliminarily review how LLMs can be integrated into educational contexts with their technical features, open-source nature, and applicability. Through a systematic search, we have identified a selection of open-source LLMs that have been released or significantly updated post-2021. This initial se作者: exclamation 時間: 2025-3-25 23:08 作者: 殺蟲劑 時間: 2025-3-26 01:23
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Promptson such as in generation of coding problem examples or providing code explanations. A key aspect of programming education is understanding and dealing with error message. However, ‘logical errors’ in which the program operates against the programmer’s intentions do not receive error messages from th作者: MILL 時間: 2025-3-26 07:22
Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Datan an online environment without a well-designed learning path to guide students. Learning paths allow students to backtrack the prerequisite content from a specific lesson in which they are weak or skip to related content in which they have a strong understanding, resulting in efficient learning. Kn作者: 異端 時間: 2025-3-26 11:08 作者: 津貼 時間: 2025-3-26 13:41
Developing Conversational Intelligent Tutoring for Speaking Skills in Second Language Learningimproving the speaking abilities of second language learners. This system mimics a human tutor by engaging in role-play dialogues with the learner, based on predefined scenarios, and offers corrective feedback on the learners’ utterance, while also engaging in chat to encourage student participation作者: 博識 時間: 2025-3-26 19:20 作者: mortgage 時間: 2025-3-27 00:18 作者: Scintillations 時間: 2025-3-27 04:05 作者: 小故事 時間: 2025-3-27 08:35 作者: 大量 時間: 2025-3-27 09:31 作者: Inferior 時間: 2025-3-27 14:32 作者: 帶子 時間: 2025-3-27 17:51 作者: MURKY 時間: 2025-3-27 23:04
Nicolas Hardt,Johannes Kuttenberger-solving. In this paper, we examine the potential of a large variety of open models for solving different types of arithmetical problems and discuss the potential implications for the development of Intelligent Tutoring Systems (ITSs). The results reported show that relatively small LLMs are able to作者: 美食家 時間: 2025-3-28 05:03 作者: modest 時間: 2025-3-28 07:24 作者: Exclaim 時間: 2025-3-28 12:10
Richard H. Haug,Matt J. Likavecobstacles to their success. It is desirable to have a tool that allows learners to conduct personalized formative assessment on demand anytime during their course study. To minimize the cognitive load of a learner and facilitate the iterative learning process, a pedagogical strategy is to identify a作者: 反復拉緊 時間: 2025-3-28 16:03 作者: Fluctuate 時間: 2025-3-28 20:14 作者: 我不重要 時間: 2025-3-29 01:35
https://doi.org/10.1007/978-88-470-2291-1 Jill Watson leverages the generative AI capabilities of ChatGPT and the underlying OpenAI’s GPT large language models, along with dense passage retrieval and retrieval-augmented text generation to answer student questions about instructor-approved courseware anytime and anywhere. This courseware ma作者: 血友病 時間: 2025-3-29 07:07
Clinical Aspects of Cranial Bone Defects,on such as in generation of coding problem examples or providing code explanations. A key aspect of programming education is understanding and dealing with error message. However, ‘logical errors’ in which the program operates against the programmer’s intentions do not receive error messages from th作者: 樂意 時間: 2025-3-29 10:41 作者: Immobilize 時間: 2025-3-29 14:18
https://doi.org/10.1007/978-3-662-43359-1hallenge, as it is important not only to emphasize the necessary skills, but also to consider the ongoing personal progress towards achieving a learning outcome. In addition, most educational content is presented in a ‘one-size-fits-all’ way, without taking into account the individual needs of stude作者: 充滿裝飾 時間: 2025-3-29 19:31
Marketing- und Verkaufsaktionen,improving the speaking abilities of second language learners. This system mimics a human tutor by engaging in role-play dialogues with the learner, based on predefined scenarios, and offers corrective feedback on the learners’ utterance, while also engaging in chat to encourage student participation作者: Monocle 時間: 2025-3-29 23:11 作者: grounded 時間: 2025-3-30 00:00
Marketing- und Verkaufsaktionen,odological contexts and constraints of the research landscape. To do so, we built on existing works and extended them to cover the latest research advancements in the field over the past five years. We aimed at covering all educational levels and retrieving important data regarding the planning and 作者: 嗎啡 時間: 2025-3-30 04:27
https://doi.org/10.34157/978-3-648-16937-7ch as when to offer help. In this paper, we explore wheel spinning in an open-domain inquiry-based modeling platform. We establish why closed-domain conceptions of wheel spinning do not work well in open domains, and we postulate key features of a working characterization of wheel spinning for an op作者: 有機體 時間: 2025-3-30 10:31 作者: DEAWL 時間: 2025-3-30 12:53
Grundlagen der Lohnbesteuerung,tuations such as aircraft takeoff, it is important to determine whether the information presented has been correctly processed and understood by the pilot, or whether some has been omitted or misinterpreted. This paper presents a cognitive synthetic pilot based on the ACT-R cognitive architecture an作者: acrimony 時間: 2025-3-30 18:32
,Wie unterscheiden sich M?rkte?,n written summaries using an intelligent tutoring system (ITS). We used the Coh-Metrix-ENA approach, which integrated Coh-Metrix and epistemic network analysis (ENA), to examine the structure of language connections in students’ written summaries. Results revealed both agent language and text struct作者: fibroblast 時間: 2025-3-30 21:46
Wie Sie Marketingleiter werden,in programming and data analysis, in the study structured prompts were employed as a key tool to enhance educational engagement and skill acquisition. To study the impact, Engineering students participated in a controlled environment where they utilized these prompts in conjunction with Generative A作者: Evacuate 時間: 2025-3-31 03:56 作者: promote 時間: 2025-3-31 05:06 作者: Hamper 時間: 2025-3-31 12:02
https://doi.org/10.1007/978-3-031-63028-6Intelligent Tutoring Systems; Artificial Intelligence; Generative Intelligence; Learning; Machine Learni作者: decode 時間: 2025-3-31 17:25 作者: GROG 時間: 2025-3-31 18:51
Combined Maps as?a?Tool of?Concentration and?Visualization of?Knowledge in?the?Logic of?Operation ofa Analysis” course shows the process of visualization of data about the learning situation. The analysis of the experimental results showed an increased effectiveness of ITS decision perception when using the data from the combined map and visualizing its simplified fragment.作者: WATER 時間: 2025-4-1 01:07
Fast Weakness Identification for Adaptive Feedbackning learner engagement. On the other hand, it is also critical to ensure that the result of the assessment is reliable to provide effective feedback. To balance the accuracy and efficiency of the assessment, we propose three algorithms for fast and adaptive weakness identification based on the good作者: myriad 時間: 2025-4-1 03:58 作者: 我不怕犧牲 時間: 2025-4-1 07:13
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Promptst are used, the average classification performance is about 21% higher than the ones without them. We also conducted an experiment for exploiting the relations among errors in generating a new logical error dataset using LLMs. As there is very limited dataset for logical errors such benchmark datase作者: 生命 時間: 2025-4-1 11:47
Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Dataom forest, and hidden Markov model for three datasets of the company. Next, we derived additional prerequisite relationships by applying deductive reasoning. The results showed that the knowledge maps of the three datasets had accuracies of 59%, 55%, and 84%, respectively, which were 3%, 10%, and 4%作者: Seizure 時間: 2025-4-1 16:58
Individualised Mathematical Task Recommendations Through Intended Learning Outcomes and?Reinforcemenhe process of creating a recommendation pool, experts identified the mathematical concept and the taxonomy level addressed by existing e-assessments in order to identify their possible association with ILOs. The RL agent utilizes this dynamic measurement of the student’s ILO progress - measured by t
