Titlebook: Generative Intelligence and Intelligent Tutoring Systems; 20th International C Angelo Sifaleras,Fuhua Lin Conference proceedings 2024 The E

AXIS

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

Fresco

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

GORGE

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

infelicitous

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

膽大

Pulmonary-Veins

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

Excise

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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

limber

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

ACTIN