Applying Universal Design for Learning (UDL) Supports Inclusive Education
Universal Design: StrategiesBelow are some introductory examples of UDL practices that can be used in a variety of settings. This...
Learning methods
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and...
A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis
Theophilus Gyedu Baidoo and Hansapani8 evaluated both survival-specific and machine learning models using performance metrics such as the concordance index...
Roles of programming self-efficacy, cognitive styles, and self-regulated learning strategies on computational thinking in computer programming
Computational thinking, programming self-efficacy, and cognitive stylesDefinition and history of computational thinkingWing (2006, p. 33) regarded computational thinking as a...
Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement
Framework for XRD prediction and its analysisVSS are simulated within structural templates, covering a wide range of hypothetical and potentially...
A fused weighted federated learning-based adaptive approach for early-stage drug prediction
The primary concern of machine vision in assisting physicians and patients is the early-stage prediction of drugs and monitoring to...
