AIMC Topic: Learning

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MultiFAR: Multidimensional information fusion with attention-driven representation learning for student performance prediction.

PloS one
The advancement in computing technology, online learning platforms, and pedagogical tools enable educators and learners to connect without temporal and geographical boundaries. The existing deep learning models to predict student performance are eith...

Neural subgraph counting on stream graphs via localized updates and monotonic learning.

PloS one
Graphs are a representative type of fundamental data structures. They are capable of representing complex association relationships in diverse domains. For large-scale graph processing, the stream graphs have become efficient tools to process dynamic...

Exploring the impact mechanisms of EEG signals and emotional intelligence levels on language learning efficiency.

Scientific reports
Improving language learning through a better understanding of how brain activity and emotional intelligence interact is a promising research direction with practical value in education. Traditional methods in this area often use static models, which ...

Insights Into History and Trends of Teaching and Learning in Stomatology Education: Bibliometric Analysis.

JMIR medical education
BACKGROUND: Stomatology education has experienced substantial transformations over recent decades. Nevertheless, a comprehensive summary encompassing the entirety of this field remains absent in the literature.

AI's Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study.

JMIR medical education
BACKGROUND: Improving the quality of education in clinical settings requires an understanding of learners' experiences and learning processes. However, this is a significant burden on learners and educators. If learners' learning records could be aut...

Learning to detect AI texts and learning the limits.

PloS one
This study investigates whether individuals can learn to accurately discriminate between human-written and AI-produced texts when provided with immediate feedback, and if they can use this feedback to recalibrate their self-perceived competence. We a...

Educational robotics as a pedagogical resource for K-12 students with learning difficulties.

Scientific reports
Learning difficulties in children can have a variety of causes, often interconnected. Factors such as emotional problems (anxiety, stress), communication difficulties, inadequate teaching methodologies, health problems, lack of family support, and ev...

Determinants of student adoption of artificial intelligence applications in higher education.

Scientific reports
The integration of artificial intelligence (AI) into educational settings has the potential to transform learning experiences; however, its adoption among students remains impacted by various factors. The current study assesses the determinant factor...

Music genre classification with modified residual learning and dual neural network.

PloS one
Music Genre is an abstract property of music that can identify shared traditions and conventions. In the recent past, music genre classification has shown a significant role in MIR that has attracted the research community to draw attention all aroun...

Evaluating AI-Powered Applications for Enhancing Undergraduate Students' Metacognitive Strategies, Self-Determined Motivation, and Social Learning in English Language Education.

Scientific reports
Artificial Intelligence (AI) technologies are transforming educational settings by offering tools that enhance learning experiences. AI-powered applications, such as ChatGPT and Poe, provide real-time assistance, fostering learner autonomy and self-d...