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Titlebook: Intelligent Tutoring Systems; 16th International C Vivekanandan Kumar,Christos Troussas Conference proceedings 2020 Springer Nature Switzer

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51#
發(fā)表于 2025-3-30 12:14:13 | 只看該作者
52#
發(fā)表于 2025-3-30 12:30:59 | 只看該作者
Probabilistic Approaches to Detect Blocking States in Intelligent Tutoring System,actions. We developed four predicting models: an action-frequency model, a subsequence-detection model, a 1D convolutional neural network model and a hybrid model. The hybrid model outperforms the others with a . score of 80.4% on the classification of blocking state on validation set while performing 77.3% on the test set.
53#
發(fā)表于 2025-3-30 19:55:56 | 只看該作者
54#
發(fā)表于 2025-3-30 21:24:09 | 只看該作者
Changes of Affective States in Intelligent Tutoring System to Improve Feedbacks Through Low-Cost anwaves (using a low-cost equipment called openBCI) were studied for acquisition and emotions. In the initial tests, the methodology has met what was expected, however, more studies with experiments must be carried out.
55#
發(fā)表于 2025-3-31 03:44:53 | 只看該作者
Computer-Aided Grouping of Students with Reading Disabilities for Effective Response-to-Interventioestions. An assessment is matched to other assessments using K-Nearest-Neighbor. The best result is achieved by the matching scheme that considers the best match for each question, and the success rate is 17.6%, for a highly imbalanced data of only about 5% belonging to the true class.
56#
發(fā)表于 2025-3-31 06:31:00 | 只看該作者
,SHAPed Automated Essay Scoring: Explaining Writing Features’ Contributions to English Writing Organa mechanism to hypothesize causal relationships among variables and shape machine-learned formative feedback in human-friendly terms for the consumption of teachers and students. Finally, it offers an in-depth discussion on linguistic aspects implied by the findings.
57#
發(fā)表于 2025-3-31 10:06:30 | 只看該作者
Innovative Robot for Educational Robotics and STEM,otic platform’s high cost. So, this research’s motivation was to go on designing and developing a robotic platform suitable for the whole educational community that the specifications based on its members’ needs and extracted by quantitative and qualitative data collection and analysis tools.
58#
發(fā)表于 2025-3-31 16:41:29 | 只看該作者
Supporting Students by Integrating an Open Learner Model in a Peer Assessment Platform,them in the form of progress bars, gauges, column bars, trophies and medals. We offer a description of the context where the open learner model was put in practice as well as an example of how a learner could utilize it. An opinion survey regarding the experience with the open learner model was appl
59#
發(fā)表于 2025-3-31 19:45:41 | 只看該作者
MOOCOLAB - A Customized Collaboration Framework in Massive Open Online Courses,arch, it is evident that the implementation of Framework identifying the individualities of each student with the discovery of behavioral patterns and their respective skills to adapt the environment with the recommendation of peers, in order to improve the mutual exchange of information between stu
60#
發(fā)表于 2025-4-1 00:12:14 | 只看該作者
Mixed Compensation Multidimensional Item Response Theory,e of MIRT in practice. In this work, we generalize MIRT to a mixed-compensation multidimensional item response theory (MCMIRT) model that incorporates both types of relationships. We also relax the MIRT assumption that each item must include every knowledge dimension. Thus, the MCMIRT can better rep
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