標(biāo)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: 孵化 時間: 2025-3-21 18:04
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(xué)科排名
書目名稱Generative Intelligence and Intelligent Tutoring Systems網(wǎng)絡(luò)公開度
書目名稱Generative Intelligence and Intelligent Tutoring Systems網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名
作者: 吸引人的花招 時間: 2025-3-21 21:50
978-3-031-63030-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: analogous 時間: 2025-3-22 04:21
Generative Intelligence and Intelligent Tutoring Systems978-3-031-63031-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 演繹 時間: 2025-3-22 05:01
https://doi.org/10.1007/978-981-13-3618-8ncy of the medical act and to be able to provide personalized care using the latest available technologies. The healthcare industry faces a number of challenges, including rising costs and a shortage of healthcare professionals. Effective and personalized medical treatment is one of the essential go作者: 阻擋 時間: 2025-3-22 11:21 作者: BACLE 時間: 2025-3-22 15:29 作者: BACLE 時間: 2025-3-22 17:15 作者: labyrinth 時間: 2025-3-22 23:36
Crafting the Nation in Colonial Indiaon, and emotion regulation. The emerging field of . (BCIs) offers intriguing possibilities for enhancing student learning and development, by providing real-time neurofeedback that could inform personalised strategies. While research on the impact of BCIs on academic skills is growing, there is limi作者: 富足女人 時間: 2025-3-23 05:14 作者: 擦試不掉 時間: 2025-3-23 06:08
https://doi.org/10.1007/978-3-642-72581-4xperiment that we conducted with 39 computer science students in an introductory programming course, which aimed to investigate the use of Kahoot! in two-hour-long practice sessions. Results highlight some interesting aspects revealed from the students’ feedback: Kahoot! proved to be an exciting and作者: vanquish 時間: 2025-3-23 13:45 作者: Entrancing 時間: 2025-3-23 17:19
Cranial, Craniofacial and Skull Base Surgeryization and design of a variety of learning tools, with particular interest given to digital games. Several studies are investigating their effectiveness in learning CT, however more research is needed on the specific features of these tools, such as scaffolding features. This study evaluates a scaf作者: 收集 時間: 2025-3-23 19:14
Cranio-Spinal Surgery with the Ronjair?onses. Most deep learning-based KT models have suffered from attributions of KT datasets such as the data sparsity, changeability of the knowledge state, and educational domain. Recently, most KT models use attention mechanisms to solve these problems. However, few studies tried to redesign the atte作者: PATRI 時間: 2025-3-24 02:02 作者: Mosaic 時間: 2025-3-24 03:24
https://doi.org/10.1007/978-1-4612-2466-2iate qualitative measures is proposed to extract behavioral sequences that are representative of learning success. Applied on an online programming platform, obtained results allowed to highlight important self-regulation behaviors during the planning and engagement phases. It e.g. appears that succ作者: 縮影 時間: 2025-3-24 07:01 作者: EXTOL 時間: 2025-3-24 14:37 作者: 團(tuán)結(jié) 時間: 2025-3-24 18:38
Karin De La Fuente,Kevin E. Bright To achieve this goal, many researchers have proposed KT models that use data from Intelligent Tutoring Systems (ITS) to predict students’ subsequent actions. However, with the development of ITS, large-scale datasets containing long-sequence data began to emerge. Recent deep learning based KT model作者: 盡責(zé) 時間: 2025-3-24 22:46 作者: MUTED 時間: 2025-3-25 01:34 作者: 忙碌 時間: 2025-3-25 05:54
Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTMThis method utilizes deep learning models including a GloVe embedding and a hybrid long short-term memory (LSTM) network within an educational framework called interactive, constructive, active, and passives (ICAP), which classifies the students posts into interactive, constructive, active, and pass作者: 小官 時間: 2025-3-25 11:02 作者: 格言 時間: 2025-3-25 14:06
Profiles of Performance: Game-Based Assessment of Reading Comprehension Skill the extent to which game performance can be used to predict reading comprehension skill, as estimated by standardized tests; and (2) to explore the development of student profiles using game performance, and how these profiles relate to reading test performance. The results indicate that performanc作者: 新字 時間: 2025-3-25 18:36 作者: defuse 時間: 2025-3-25 22:47 作者: 面包屑 時間: 2025-3-26 03:48
Kahoot! as?a?Tool to?Maintain Students’ Attention and?Increase Retention Rates: An Experience Reportxperiment that we conducted with 39 computer science students in an introductory programming course, which aimed to investigate the use of Kahoot! in two-hour-long practice sessions. Results highlight some interesting aspects revealed from the students’ feedback: Kahoot! proved to be an exciting and作者: innovation 時間: 2025-3-26 06:38
Adoption of Digital Games as Pedagogical Aids for Teachers and Pupils in Primary Schools to Overcomenance. However, for many schoolchildren, learning arithmetic can be a difficult and often tedious task. Traditional methods of teaching arithmetic, such as rote memorization and repetitive practice, may not always be effective in engaging pupils and promoting a deep understanding of the material..To作者: PSA-velocity 時間: 2025-3-26 11:10
Educational Games for Computational Thinking: Evaluation of the Scaffolded aMazeD Gameization and design of a variety of learning tools, with particular interest given to digital games. Several studies are investigating their effectiveness in learning CT, however more research is needed on the specific features of these tools, such as scaffolding features. This study evaluates a scaf作者: 清晰 時間: 2025-3-26 14:45 作者: TIA742 時間: 2025-3-26 18:39
Detection of Pre-error States in Aircraft Pilots Through Machine Learninglanker test data from the COG-BCI dataset, and subsequently employing this model to detect pre-error states in aviation pilots. To address this issue, we applied various machine learning models to the dataset, including Support Vector Machines (SVM), and Random Forests, double Convolutional Neural N作者: AXIS 時間: 2025-3-27 00:16
Mining Discriminative Sequential Patterns of?Self-regulated Learnersiate qualitative measures is proposed to extract behavioral sequences that are representative of learning success. Applied on an online programming platform, obtained results allowed to highlight important self-regulation behaviors during the planning and engagement phases. It e.g. appears that succ作者: Fresco 時間: 2025-3-27 01:33
Analysis of?Machine Learning Models for?Academic Performance Predictioncompletion times for degree programs. Prompt detection of those students facing a likely chance of failing a course could allow universities to intervene with sufficient support and guidance, facilitating an improvement in their performances. Numerous studies have explored the problem of performance作者: GORGE 時間: 2025-3-27 07:43
Simplifying Decision Tree Classification Through the?AutoDTrees Web Application and?Servicerstandable structure and simple way of operation, which led to their adoption in a variety of applications. However, the usage of Decision Trees often becomes challenging due to the fact that users need to be familiar with Machine Learning, have programming skills or knowledge of specialized scienti作者: infelicitous 時間: 2025-3-27 12:32
LBKT: A LSTM BERT-Based Knowledge Tracing Model for?Long-Sequence Data To achieve this goal, many researchers have proposed KT models that use data from Intelligent Tutoring Systems (ITS) to predict students’ subsequent actions. However, with the development of ITS, large-scale datasets containing long-sequence data began to emerge. Recent deep learning based KT model作者: 膽大 時間: 2025-3-27 17:32 作者: Pulmonary-Veins 時間: 2025-3-27 21:45
https://doi.org/10.1007/978-981-13-3618-8iminating sensitive points. By allowing patients to share specific information with healthcare providers while maintaining privacy, they have more control over their medical data. This model of approach contributes to a model of patient-oriented medical care rather than distributing attention to the作者: Excise 時間: 2025-3-27 23:18 作者: tackle 時間: 2025-3-28 05:09
Keith Sherringham,Bhuvan Unhelkar and facial muscle temperatures, alongside facial landmark points. The implications of these findings extend beyond mere academic curiosity, offering valuable insights into the physiological repercussions of workload. Moreover, they hold promise for enhancing aviation safety protocols and optimizing作者: limber 時間: 2025-3-28 07:30
Cranio-Spinal Surgery with the Ronjair?CoBERT achieves remarkable performance on most benchmark datasets. In addition, we used a classical test-theory-based embedding strategy to reflect the difficulty degree of knowledge concepts. We conducted ablation studies and further analysis to explain the remarkable performance of our model quant作者: ACTIN 時間: 2025-3-28 13:52 作者: 事物的方面 時間: 2025-3-28 16:56
https://doi.org/10.1007/978-1-4612-3232-2gineering, Industrial Engineering, and Economics. The results show that representing data in windows of time spanning 3 previous semesters, in conjunction with the LSTM-based algorithm for binary classification, yields the best results, achieving a precision of 0.838.作者: JEER 時間: 2025-3-28 21:48 作者: APEX 時間: 2025-3-29 01:24 作者: Meager 時間: 2025-3-29 03:32 作者: abduction 時間: 2025-3-29 07:39
Assessing Cognitive Workload of Aircraft Pilots Through Face Temperature and facial muscle temperatures, alongside facial landmark points. The implications of these findings extend beyond mere academic curiosity, offering valuable insights into the physiological repercussions of workload. Moreover, they hold promise for enhancing aviation safety protocols and optimizing作者: 跳動 時間: 2025-3-29 14:20
MonaCoBERT: Monotonic Attention Based ConvBERT for?Knowledge TracingCoBERT achieves remarkable performance on most benchmark datasets. In addition, we used a classical test-theory-based embedding strategy to reflect the difficulty degree of knowledge concepts. We conducted ablation studies and further analysis to explain the remarkable performance of our model quant作者: 煩擾 時間: 2025-3-29 18:08
Detection of Pre-error States in Aircraft Pilots Through Machine Learningf the FLANKER dataset using various models revealed the superiority of the transformer model, with notable reductions in false negatives and a final F1 score of 0.610. Moving beyond typical study conclusions, our objective extends to assessing model applicability in a secondary domain—evaluating the作者: 知識 時間: 2025-3-29 22:06
Analysis of?Machine Learning Models for?Academic Performance Predictiongineering, Industrial Engineering, and Economics. The results show that representing data in windows of time spanning 3 previous semesters, in conjunction with the LSTM-based algorithm for binary classification, yields the best results, achieving a precision of 0.838.作者: 裹住 時間: 2025-3-30 02:59
Simplifying Decision Tree Classification Through the?AutoDTrees Web Application and?Services can be evaluated by using the k-fold cross-validation and presenting detailed metrics. Users are then able to save the pre-trained model and reuse it for predicting unclassified instances or visualizing the Decision Tree. AutoDTrees was evaluated in terms of user experience using the System Usabil作者: nocturia 時間: 2025-3-30 07:31
Generative Intelligence and Intelligent Tutoring Systems20th International C作者: Armory 時間: 2025-3-30 11:28
https://doi.org/10.1007/978-1-4612-2466-2essful self-regulated learners are those who analyze their tasks before working on them. This work brings methodological contributions in the field of self-regulation learning measurement and is a first step towards the design of intelligent tutoring systems.作者: 無法解釋 時間: 2025-3-30 15:54 作者: 兒童 時間: 2025-3-30 17:35 作者: Banquet 時間: 2025-3-31 00:07 作者: 注意 時間: 2025-3-31 04:14
Clare Burke,Suzanne M. Spencer-Woodese results suggest that game-based learning activities can serve as formative assessments of reading skill. Teachers can use such learning activities to provide their students with more frequent feedback, and themselves with a greater understanding of their students’ current skills and areas for improvement.作者: badinage 時間: 2025-3-31 07:36
Cranial Computerized Tomographyibit controlled responses. The study underscores the non-linear relationship between experience and physiological responses, influenced by individual differences and coping mechanisms. Over time, repeated exposure leads to a learning curve, showcasing the adaptive nature of human responses in aviation.作者: 注入 時間: 2025-3-31 12:44 作者: Indolent 時間: 2025-3-31 15:27
Profiles of Performance: Game-Based Assessment of Reading Comprehension Skillese results suggest that game-based learning activities can serve as formative assessments of reading skill. Teachers can use such learning activities to provide their students with more frequent feedback, and themselves with a greater understanding of their students’ current skills and areas for improvement.作者: craving 時間: 2025-3-31 20:49
