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Accurate load forecasting is crucial for maintaining the power balance between generators and consumers,particularly with the increasing integration of renewable energy sources, which introduce significant intermittent volatility. With the…

Systems and Control · Electrical Eng. & Systems 2024-09-04 Mingyang Gao , Suyang Zhou , Wei Gu , Zhi Wu , Haiquan Liu , Aihua Zhou

Learning analytics (LA) is data collection, analysis, and representation of data about learners in order to improve their learning and performance. Furthermore, LA opens the door to opportunities for self-regulated learning in higher…

Human-Computer Interaction · Computer Science 2022-11-16 Saša Brdnik , Boštjan Šumak , Vili Podgorelec

Knowledge tracing aims to track students' knowledge status over time to predict students' future performance accurately. Markov chain-based knowledge tracking (MCKT) models can track knowledge concept mastery probability over time. However,…

Machine Learning · Computer Science 2023-02-20 Hengyu Liu , Tiancheng Zhang , Fan Li , Minghe Yu , Ge Yu

As Large Language Models (LLMs) increasingly participate in human-AI interactions, evaluating their Theory of Mind (ToM) capabilities - particularly their ability to track dynamic mental states - becomes crucial. While existing benchmarks…

Computation and Language · Computer Science 2025-06-10 Yang Xiao , Jiashuo Wang , Qiancheng Xu , Changhe Song , Chunpu Xu , Yi Cheng , Wenjie Li , Pengfei Liu

Deep learning is rapidly becoming a go-to tool for many artificial intelligence problems due to its ability to outperform other approaches and even humans at many problems. Despite its popularity we are still unable to accurately predict…

Machine Learning · Computer Science 2018-11-30 Daniel Justus , John Brennan , Stephen Bonner , Andrew Stephen McGough

A learning management system streamlines the management of the teaching process in a centralized place, recording, tracking, and reporting the delivery of educational courses and student performance. Educational knowledge discovery from…

Computers and Society · Computer Science 2024-03-22 Xinyu Zhang , Vincent CS Lee , Duo Xu , Jun Chen , Mohammad S. Obaidat

Large Language Models (LLMs) are revolutionizing the AI industry with their superior capabilities. Training these models requires large-scale GPU clusters and significant computing time, leading to frequent failures that significantly…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-10 Ning Lu , Qian Xie , Hao Zhang , Wenyi Fang , Yang Zheng , Zheng Hu , Jiantao Ma

The advantage of recurrent neural networks (RNNs) in learning dependencies between time-series data has distinguished RNNs from other deep learning models. Recently, many advances are proposed in this emerging field. However, there is a…

Neural and Evolutionary Computing · Computer Science 2016-02-16 Hojjat Salehinejad

Assessing instruction quality is a fundamental component of any improvement efforts in the education system. However, traditional manual assessments are expensive, subjective, and heavily dependent on observers' expertise and idiosyncratic…

Computation and Language · Computer Science 2025-01-03 Paiheng Xu , Jing Liu , Nathan Jones , Julie Cohen , Wei Ai

Real-Time Networks (RTNs) provide latency guarantees for time-critical applications and it aims to support different traffic categories via various scheduling mechanisms. Those scheduling mechanisms rely on a precise network performance…

Networking and Internet Architecture · Computer Science 2021-04-07 Chien-Cheng Wu

Advances in deep learning systems have allowed large models to match or surpass human accuracy on a number of skills such as image classification, basic programming, and standardized test taking. As the performance of the most capable…

Machine Learning · Computer Science 2024-06-10 Sarah Pratt , Seth Blumberg , Pietro Kreitlon Carolino , Meredith Ringel Morris

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

Computers and Society · Computer Science 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

Intrusion detection for computer network systems has been becoming one of the most critical tasks for network administrators today. It has an important role for organizations, governments and our society due to the valuable resources hosted…

Machine Learning · Computer Science 2018-02-02 Nga Nguyen Thi , Van Loi Cao , Nhien-An Le-Khac

Model selection is a critical step in time series forecasting, traditionally requiring extensive performance evaluations across various datasets. Meta-learning approaches aim to automate this process, but they typically depend on…

Machine Learning · Computer Science 2025-04-04 Wang Wei , Tiankai Yang , Hongjie Chen , Ryan A. Rossi , Yue Zhao , Franck Dernoncourt , Hoda Eldardiry

Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow execution metrics on large-scale machines have several key…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-18 Alok Singh , Mai Nguyen , Shweta Purawat , Daniel Crawl , Ilkay Altintas

Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The latter issue is usually addressed by pre-processing the data…

Machine Learning · Computer Science 2024-04-30 Rodrigo Tuna , Yassine Baghoussi , Carlos Soares , João Mendes-Moreira

In Intelligent Tutoring System (ITS), tracing the student's knowledge state during learning has been studied for several decades in order to provide more supportive learning instructions. In this paper, we propose a novel model for…

Artificial Intelligence · Computer Science 2021-01-08 Sein Minn , Yi Yu , Michel C. Desmarais , Feida Zhu , Jill Jenn Vie

Learning Analytics is an emerging field in the vast areas of Educational Technology and Technology Enhanced Learning (TEL). It provides tools and techniques that offer researchers the ability to analyze, study, and benchmark institutions,…

Computers and Society · Computer Science 2016-06-14 Mohammad Khalil , Behnam Taraghi , Martin Ebner

We propose a novel approach to leveraging pre-trained language models (LMs) for early forecasting of academic trajectories in STEM students using high-dimensional longitudinal experiential data. This data, which captures students'…

Machine Learning · Computer Science 2025-03-31 Ahatsham Hayat , Bilal Khan , Mohammad Rashedul Hasan

Predicting future events is an important activity with applications across multiple fields and domains. For example, the capacity to foresee stock market trends, natural disasters, business developments, or political events can facilitate…

Computation and Language · Computer Science 2025-01-13 Petraq Nako , Adam Jatowt