標(biāo)題: Titlebook: Artificial Intelligence in Education; 19th International C Carolyn Penstein Rosé,Roberto Martínez-Maldonado,B Conference proceedings 2018 S [打印本頁(yè)] 作者: 搖尾乞憐 時(shí)間: 2025-3-21 20:00
書(shū)目名稱(chēng)Artificial Intelligence in Education影響因子(影響力)
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書(shū)目名稱(chēng)Artificial Intelligence in Education被引頻次
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書(shū)目名稱(chēng)Artificial Intelligence in Education讀者反饋
書(shū)目名稱(chēng)Artificial Intelligence in Education讀者反饋學(xué)科排名
作者: 移植 時(shí)間: 2025-3-21 23:29 作者: 無(wú)動(dòng)于衷 時(shí)間: 2025-3-22 02:13
Carolyn Penstein Rosé,Roberto Martínez-Maldonado,B作者: avarice 時(shí)間: 2025-3-22 07:00 作者: emission 時(shí)間: 2025-3-22 10:32 作者: 粗魯性質(zhì) 時(shí)間: 2025-3-22 15:12
Conversational Support for Educationtent-based Learning Assistant, COLA, is to suggest optimal educational paths, along with a persuasive and empathic coaching. COLAs are supported by a novel technology, iCHAT, based on the cognitive engine Watson (by IBM).作者: 可憎 時(shí)間: 2025-3-22 18:40
Providing Proactive Scaffolding During Tutorial Dialogue Using Guidance from Student Model Predictio. The tutor uses a student model to predict the likelihood that the student will answer the next question in a dialogue script correctly. Based on these predictions, the tutor will, step by step, choose the granularity at which the next step in the dialogue is discussed. The tutor attempts to pursue作者: BUCK 時(shí)間: 2025-3-22 23:14 作者: 先兆 時(shí)間: 2025-3-23 03:29 作者: Feigned 時(shí)間: 2025-3-23 09:19 作者: 憎惡 時(shí)間: 2025-3-23 13:12 作者: 河潭 時(shí)間: 2025-3-23 17:29 作者: 使熄滅 時(shí)間: 2025-3-23 18:58
Human-Agent Assessment: Interaction and Sub-skills Scoring for Collaborative Problem Solvings entering the workforce will be expected to have a level of proficiency with both cognitive and social-emotional skills. This paper presents an approach to measuring features and sub-skills associated with CPS ability and provides a methodology for CPS based performance assessment using an educatio作者: 得罪 時(shí)間: 2025-3-24 00:45 作者: glacial 時(shí)間: 2025-3-24 05:19
Modeling Math Success Using Cohesion Network Analysisal differences and click-stream variables that may also predict math success. Linear models indicated that math success was related to days spent on the forum and by students who more regularly posted in the online class forum and whose posts generally followed the semanticity of other students.作者: PATRI 時(shí)間: 2025-3-24 06:43
Amplifying Teachers Intelligence in the Design of Gamified Intelligent Tutoring Systemslitate problem-solving, and to drive desired learning behaviors. In fact, although the desire of teachers to be active users of gamified ITS, these systems are not personalized according to teachers’ preferences. Several research problems might arise when trying to empower teachers in the design of 作者: inspiration 時(shí)間: 2025-3-24 14:20
Where Is the Nurse? Towards Automatically Visualising Meaningful Team Movement in Healthcare Educatir complexity. Focusing on emergency procedures on patient manikins, our prior work has demonstrated the feasibility of using multimodal data capture and analysis to generate visualisations of student movement, talk and treatment actions. The limitation to date has been the need for manual steps in t作者: 劇本 時(shí)間: 2025-3-24 15:06
Exploring Gritty Students’ Behavior in an Intelligent Tutoring Systemstudent models and feature sets that can help tutors predict student behavior and determine whether tutors might foster improvements in students’ grit, perseverance and recovery from failure. We use rare Association Rule Mining to explore how students’ grit may be associated with students’ behavior 作者: Spinous-Process 時(shí)間: 2025-3-24 22:29 作者: 討好美人 時(shí)間: 2025-3-25 01:04
Adaptive Learning Goes to Chinaective learning tools. This paper introduces an adaptive learning system, “Yixue,” that was developed and deployed in China. It diagnostically assesses students’ mastery of fine-grained skills and presents them with instructional content that fits their?characteristics and abilities. The Yixue syste作者: 捐助 時(shí)間: 2025-3-25 05:41 作者: THROB 時(shí)間: 2025-3-25 08:17 作者: 諂媚于性 時(shí)間: 2025-3-25 14:17
ROBIN: Using a Programmable Robot to Provide Feedback and Encouragement on Programming Taskshesize that by having the robot itself provide cognitive and social feedback, students will both reflect more on their misconceptions and persist more with the activity. This paper describes the design and implementation of ROBIN and discusses how this approach can benefit students.作者: JUST 時(shí)間: 2025-3-25 19:36
Adaptive Learning Goes to Chinam. A learning analysis of 1,355 students indicates that students learned from using the Yixue system and the results can generalize across students and skills. We also report a study that evaluates the efficacy of the Yixue math program in 8. and 9. grade.作者: Default 時(shí)間: 2025-3-25 20:00
The Family’s Impact on Adolescent Outcomes with 38 postgraduates who made comments while learning pitch presentations with the Active Video Watching system (AVW-Space). The outcome shows different patterns of coverage on the domain by the comments in each of the eight videos.作者: 發(fā)起 時(shí)間: 2025-3-26 03:47 作者: Tailor 時(shí)間: 2025-3-26 08:07 作者: chemoprevention 時(shí)間: 2025-3-26 11:06
Laura Mazzoli Smith,Jim Campbellnal problem solving video game. Our method incorporates K-Means clustering to evaluate and analyze the feature space of the CPS evidence that was gathered from game log-data. Our results illustrate distinct participant clusters of high, medium and low-CPS skills proficiency levels that can help focus remediation efforts.作者: syring 時(shí)間: 2025-3-26 13:00
National Symposium on Family Issuesules questions, internal test, and tournament questions. Applying K-Means, four different groups of students have been identified. The results revealed that students who were more active and participated more in activities achieved better scores on their final exam.作者: PAN 時(shí)間: 2025-3-26 20:02 作者: 委屈 時(shí)間: 2025-3-26 22:51
Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITSarning companion (LC) avatars that matches their personality and will regard a LC as a substitute self-construction. Results indicate that ELL students find LCs more useful and helpful than do Caucasian students and ELL students purposely design LCs that look more like themselves than do the non-ELL students.作者: 生意行為 時(shí)間: 2025-3-27 02:34
Learner Behavioral Feature Refinement and Augmentation Using GANshile also generating a set of additional, complementary features that better summarize the raw data. Through experimental validation on a real-world dataset that we collected from an online course, we demonstrate that our method leads to features that are both predictive of learner quiz scores and closely related to human-crafted features.作者: Lacunar-Stroke 時(shí)間: 2025-3-27 07:36 作者: CHOP 時(shí)間: 2025-3-27 10:06
Characterizing Students Based on Their Participation in the Classules questions, internal test, and tournament questions. Applying K-Means, four different groups of students have been identified. The results revealed that students who were more active and participated more in activities achieved better scores on their final exam.作者: 啪心兒跳動(dòng) 時(shí)間: 2025-3-27 16:43 作者: cumber 時(shí)間: 2025-3-27 21:31
0302-9743 for the cross-fertilization of approaches, techniques and ideas from the? many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas..978-3-319-93845-5978-3-319-93846-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Vldl379 時(shí)間: 2025-3-28 00:48
0302-9743 Education, AIED 2018, held in London, UK, in June 2018..The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 submissions. The conference provides opportunities? 作者: 聯(lián)合 時(shí)間: 2025-3-28 04:37
Laura Mazzoli Smith,Jim Campbelllitate massive open online learning. We explore social network analysis and unsupervised learning approaches (such as probabilistic graphical models) on these type of Intelligent Tutoring Systems to examine the potential of the embedding representations on students learning.作者: mucous-membrane 時(shí)間: 2025-3-28 08:33
Sheryl O. Hughes,Thomas G. Powertep hints and more abstract high-level hints) on students’ behavior in a college-level logic proof tutor, Deep Thought. The results suggest that hint types can affect student behavior, including hint usage, rule applications, and time in-tutor.作者: infelicitous 時(shí)間: 2025-3-28 11:42
How SNAP Reduces Food Insecurity, perseverance and recovery from failure. We use rare Association Rule Mining to explore how students’ grit may be associated with students’ behavior within MathSpring, an intelligent tutoring system, as a first step.作者: Gudgeon 時(shí)間: 2025-3-28 18:08 作者: 坦白 時(shí)間: 2025-3-28 21:20
Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutortep hints and more abstract high-level hints) on students’ behavior in a college-level logic proof tutor, Deep Thought. The results suggest that hint types can affect student behavior, including hint usage, rule applications, and time in-tutor.作者: 預(yù)示 時(shí)間: 2025-3-29 02:32
Exploring Gritty Students’ Behavior in an Intelligent Tutoring System, perseverance and recovery from failure. We use rare Association Rule Mining to explore how students’ grit may be associated with students’ behavior within MathSpring, an intelligent tutoring system, as a first step.作者: 得意牛 時(shí)間: 2025-3-29 05:23
Conference proceedings 2018, AIED 2018, held in London, UK, in June 2018..The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 submissions. The conference provides opportunities? for the cr作者: 基因組 時(shí)間: 2025-3-29 09:37 作者: Vulvodynia 時(shí)間: 2025-3-29 13:11 作者: 讓步 時(shí)間: 2025-3-29 16:07
Providing Proactive Scaffolding During Tutorial Dialogue Using Guidance from Student Model Predictios are within the student’s ability to answer when appropriately supported; that is, the tutor aims to stay within its estimate of the student’s zone of proximal development for the targeted concepts. The scaffolding provided by the tutor is further adapted by adjusting the way the questions are expressed.作者: osteocytes 時(shí)間: 2025-3-29 21:49
Where Is the Nurse? Towards Automatically Visualising Meaningful Team Movement in Healthcare Educatition. Combining role-based nurses’ movement data with high fidelity manikin logs, we have implemented a zone-based classification model, and are able to automatically visualise movements within an emergency response team, providing the data needed to design near real-time feedback for both educators and students.作者: Allure 時(shí)間: 2025-3-30 03:40
https://doi.org/10.1007/978-3-319-93846-2Education; Computer-assisted instruction; Interactive learning environments; Collaborative learning; E-l作者: Throttle 時(shí)間: 2025-3-30 06:08
978-3-319-93845-5Springer International Publishing AG, part of Springer Nature 2018作者: 祖?zhèn)髫?cái)產(chǎn) 時(shí)間: 2025-3-30 09:55 作者: HAIL 時(shí)間: 2025-3-30 14:46 作者: Dysarthria 時(shí)間: 2025-3-30 18:04
VERA: Popularizing Science Through AIin environmental science in two ways. First, it automatically generates simulations based on the conceptual models of ecological phenomena for repeated testing and feedback. Second, it leverages the Encyclopedia of Life biodiversity knowledgebase to support the process of model construction and revision.作者: 侵略者 時(shí)間: 2025-3-30 21:44 作者: 壓倒性勝利 時(shí)間: 2025-3-31 01:34 作者: Indolent 時(shí)間: 2025-3-31 05:25 作者: Arthritis 時(shí)間: 2025-3-31 11:32 作者: dura-mater 時(shí)間: 2025-3-31 16:13 作者: 透明 時(shí)間: 2025-3-31 19:23 作者: Insul島 時(shí)間: 2025-4-1 00:31 作者: maroon 時(shí)間: 2025-4-1 03:57
The Family’s Impact on Adolescent Outcomes the population is increasingly important to broadening knowledge. This paper describes a pipeline for diversity profiling of a pool of text in order to understand its coverage of an underpinning domain. The application is illustrated by using a domain ontology on presentation skills in a case study作者: 是限制 時(shí)間: 2025-4-1 08:49
The Family’s Impact on Adolescent Outcomes often lack sufficient feedback on their programs, which makes it difficult for them to reflect on domain concepts and may decrease their motivation. We see an opportunity to introduce feedback into LEGO Mindstorms programming environments by having the robot itself deliver feedback, leveraging rese
