作者: FATAL 時間: 2025-3-21 22:18
Non-distracting Feedback in Artificial Intelligence Supported Learningwe investigate how this “more in data” does not inevitably lead to a “more in distraction” at the interface. This becomes possible by analyzing intentional and non-intentional actions of the user or the environmental conditions to detect?– using artificial intelligence?– for instance, if the learner作者: Narrative 時間: 2025-3-22 03:30
Research on Human-Computer Cooperative Teaching Supported by?Artificial Intelligence Robot Assistant the online virtual robot assistant experience to the robot psychological and habit experience, and the robot application of educational situation relies on the design and implementation of human-computer cooperation mechanism. Human-computer collaborative gives full parts to the advantages of teach作者: 含糊 時間: 2025-3-22 07:24
A New Conceptual Framework for Measuring Online Listening in Asynchronous Discussion Forumsay attention to the visible aspect of interaction (online speaking, i.e., creating posts); little is known about online listening, the invisible one that refers to viewing existing posts. Online listening, often used interchangeably with reading and lurking, is an active, personally driven, and inse作者: DAFT 時間: 2025-3-22 11:55 作者: 伙伴 時間: 2025-3-22 12:52
Can Sensors Effectively Support Learning?entered learning analytics, adaptive learning, and self-reflection. While the usage of physiological sensors for health applications has been thoroughly investigated, using sensors in a learning environment is very challenging, especially when sensors should be nonintrusive, not distracting from lea作者: 支形吊燈 時間: 2025-3-22 17:05 作者: 北極人 時間: 2025-3-22 23:02
A Learning Attention Monitoring System via Photoplethysmogram Using Wearable Wrist Deviceshe attention level of every student in time, especially in online learning environments and large-scale physical classes. In this study, we propose a method for assessing students’ attention levels that uses a photoplethysmogram (PPG) signal measured by a wearable device, with an average accuracy of作者: Grasping 時間: 2025-3-23 03:38 作者: 配偶 時間: 2025-3-23 06:39
Personalized Citation Recommendation Using an Ensemble Model of DSSM and Bibliographic Informationcame a tedious and time-consuming task. Citation recommendation is considerably important to improve the efficiency and quality of literature search. It scales down the information overload in academia by using the content of the paper and citation information to automatically recommend papers relev作者: nutrition 時間: 2025-3-23 10:06
Augmented: Academic Performance Prediction Based on Digital Campuser currently it remains a challenge to (i) combine these data into a holistic view of a student; (ii) use this to predict academic performance accurately; (iii) and take advantage of the prediction to drive behavioral change and support student positive engagement with the university. To initially a作者: 浮夸 時間: 2025-3-23 13:55
Joint Embedding Learning of Educational Knowledge Graphscation. And there is a steady trend of learning embedding representations of knowledge graphs to facilitate knowledge graph construction and downstream tasks. In general, knowledge graph embedding techniques aim to learn vectorized representations which preserve the structural information of the gra作者: 使糾纏 時間: 2025-3-23 20:50 作者: Grating 時間: 2025-3-24 00:51 作者: MUTED 時間: 2025-3-24 02:55
Change Management for Learning Analyticsteaching, organisational efficiency, and decision-making. The implementation of learning analytics at higher education institutions may have broad implications for the organisation and its stakeholders (e.g. students, academic staff, administrators) including changes in learning culture and educatio作者: 音樂學(xué)者 時間: 2025-3-24 06:43
2662-2122 from computer science and learning science.Provides an broad.This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer scie作者: 異端 時間: 2025-3-24 13:43
Book 2020example, different data mining and machine learning methods to quantify?different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters..?.作者: ALT 時間: 2025-3-24 17:34
Antecedents of the Western TraditionThis offers the possibility for a direct feedback loop to reflect the learner’s status, progress, etc. but also raises novel challenges that need to be addressed, namely, when to intervene, how much feedback needs to be provided, and how to represent the required information in order to reduce the distraction and thus to improve learning success.作者: Diastole 時間: 2025-3-24 20:40 作者: concise 時間: 2025-3-25 00:52
Book 2020han, China, March, 2019. The contributors are distinguished researchers from computer science and learning science..?.The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems,(3) Algorithms, and (4) Insights gained from empirical studies. For 作者: 幸福愉悅感 時間: 2025-3-25 07:01
Palgrave Studies in Animals and Literatureping, it showed that the machine-generated mapping (. measure: 0.68) performed as good as human-generated ones (. measure: 0.67/0.66). It implied that the mapping technique could be potentially used to give students the recommendation for further learning materials.作者: 窩轉(zhuǎn)脊椎動物 時間: 2025-3-25 07:43
Mapping Machine-Generated Questions to Their Related Paragraphs in the Textbookping, it showed that the machine-generated mapping (. measure: 0.68) performed as good as human-generated ones (. measure: 0.67/0.66). It implied that the mapping technique could be potentially used to give students the recommendation for further learning materials.作者: 600 時間: 2025-3-25 12:47
Artificial Intelligence Supported Educational Technologies978-3-030-41099-5Series ISSN 2662-2122 Series E-ISSN 2662-2130 作者: 仇恨 時間: 2025-3-25 16:03
Paleolithic and Neolithic Culturesnts. OLA employs multiple methods to draw value from a wide range of educational data coming from various learning environments and contexts in order to gain insight into the learning processes of different stakeholders. As the research field is still relatively young, only a few technical platforms作者: dearth 時間: 2025-3-25 20:24 作者: 打擊 時間: 2025-3-26 02:20 作者: 褻瀆 時間: 2025-3-26 04:35 作者: 思想 時間: 2025-3-26 11:26
https://doi.org/10.1007/b137471 instructional systems, and they are typically further distinguished as self-improvable, self-improving, or self-improvability. These adaptive instructional systems have long been viewed as common and effective forms of education, dating back as early as the fourth century BC. Producing computer tut作者: 能夠支付 時間: 2025-3-26 12:45 作者: Ondines-curse 時間: 2025-3-26 20:48
Antecedents of the Western Traditionconcepts but also impresses pupils. However, it is difficult for teachers to find customized HD video material besides the unified compact disks companied with teaching reference books. The teacher-customized HD video material has two requirements: (1) short (less than 3–5?min) and (2) fit to the cu作者: chondromalacia 時間: 2025-3-27 00:26
David H. Kelley,Eugene F. Milonehe attention level of every student in time, especially in online learning environments and large-scale physical classes. In this study, we propose a method for assessing students’ attention levels that uses a photoplethysmogram (PPG) signal measured by a wearable device, with an average accuracy of作者: 揮舞 時間: 2025-3-27 01:25
Paleolithic and Neolithic Culturests. Recent research indicates that computer-assisted approaches may be effective in addressing this issue. This study aimed to understand children’s behaviors and then provide appropriate support to improve their social interaction ability. We have established an intelligent system, inside which a c作者: 宣傳 時間: 2025-3-27 07:32 作者: BANAL 時間: 2025-3-27 09:42
https://doi.org/10.1007/b137471er currently it remains a challenge to (i) combine these data into a holistic view of a student; (ii) use this to predict academic performance accurately; (iii) and take advantage of the prediction to drive behavioral change and support student positive engagement with the university. To initially a作者: deriver 時間: 2025-3-27 16:19 作者: 有危險 時間: 2025-3-27 18:16 作者: Blemish 時間: 2025-3-27 23:55
Palgrave Studies in Animals and Literaturethod to solve the mapping task and the preliminary results. In specific, given a set of questions generated from a semantic network and a list of paragraphs, the mapping task was to map the related paragraphs to each question. To conduct a first step evaluation, two undergraduate students were recru作者: WAIL 時間: 2025-3-28 04:02
Palgrave Studies in Animals and Literatureteaching, organisational efficiency, and decision-making. The implementation of learning analytics at higher education institutions may have broad implications for the organisation and its stakeholders (e.g. students, academic staff, administrators) including changes in learning culture and educatio作者: 諷刺滑稽戲劇 時間: 2025-3-28 09:04
Niels Pinkwart,Sannyuya LiuProvides cross-cultural perspectives on artificial intelligence applications in education.Offers contributions by distinguished researchers from computer science and learning science.Provides an broad作者: 壕溝 時間: 2025-3-28 12:23 作者: 傀儡 時間: 2025-3-28 15:11
https://doi.org/10.1007/978-3-030-41099-5Artificial intelligence; Learning analytics; Educational technology; Study of game-based learning; Seman作者: 禁止 時間: 2025-3-28 21:48 作者: 褪色 時間: 2025-3-28 22:58
2662-2122 of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters..?.978-3-030-41101-5978-3-030-41099-5Series ISSN 2662-2122 Series E-ISSN 2662-2130 作者: forebear 時間: 2025-3-29 05:20 作者: GULLY 時間: 2025-3-29 10:30 作者: jabber 時間: 2025-3-29 15:17
David H. Kelley,Eugene F. Milone perspective that aims to comprehensively measure learners’ online listening in asynchronous discussion forums. In order to understand the invisible aspect of learner interactions, the proposed framework first develops a semantic network-based discussions grounded on assimilation theory of meaningfu作者: 過份好問 時間: 2025-3-29 19:15 作者: HOWL 時間: 2025-3-29 22:13
https://doi.org/10.1007/b137471sing qualitative and quantitative analysis, machine learning, and fuzzy logic. Finally, we discuss our interdisciplinary approach needed to resolve some of the complex questions related to sensor-based learning support.作者: cavity 時間: 2025-3-30 00:50 作者: 充氣球 時間: 2025-3-30 07:41
David H. Kelley,Eugene F. Miloneion states and learning content. The results of this study provide a valuable resource for selecting and designing video lectures for online learning. The system can also be extended to provide appropriate adjustments in both classroom and ubiquitous learning environments.作者: follicular-unit 時間: 2025-3-30 12:13
Paleolithic and Neolithic Culturesrithms proposed in this study. Furthermore, this intelligent system has been enabled in a nonintrusive manner using a novel approach of multicamera surveillance to provide the child with natural interaction with the system. Experimental results indicate that our system can accurately estimate a user作者: Derogate 時間: 2025-3-30 14:07
https://doi.org/10.1007/b137471s the citation and content information within papers, to rank the candidate papers based on their relevance to a query text and the corresponding author. The fusion of the results from both modules provides the final recommendation list. Our intensive experiments on the ACL Analogy dataset (AAN) pro作者: Vulnerable 時間: 2025-3-30 20:11
