Early detection of student degree-level academic performance using educational data mining. [PDF]
PeerJ Comput Sci, 2023 Meghji AF +5 more
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Semi-Automatic Generation of Competency Maps Based on Educational Data Mining
International Journal of Computational Intelligence SystemsWe propose a semi-automatic method for the generation of educational-competency maps from repositories of multiple-choice question responses, using Bayesian structural learning and data-mining techniques.
David Alfonso +2 more
doaj +1 more source
Policy recommendations for learning analytics from three stakeholder workshops [PDF]
This document presents policy recommendations related to the use of learning analytics and educational data mining from three LACE ...
Cardinali, Fabrizio +9 more
core
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach. [PDF]
Brain Sci, 2023 Qahmash A, Ahmad N, Algarni A.
europepmc +1 more source
Data Mining in Higher Education
Periodicals of Engineering and Natural Sciences (PEN), 2013 Data mining is slowly but surely making its way into the educational field after dominating the business fields. This paper focuses on the research completed in the area of data mining in the higher education sector: colleges and universities. We will look at the different implementation of data mining and to what extent was it utilized and benefited
Dina A. Aziz AlHammadi +1 more
openaire +2 more sources
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Advanced Intelligent Discovery, EarlyView.Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
The use of video clickstream data to predict university students' test performance: A comprehensive educational data mining approach. [PDF]
Educ Inf Technol (Dordr), 2023 Yürüm OR +2 more
europepmc +1 more source