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Effective feedback is essential for student learning but is time-intensive for teachers. We present LearnLens, a modular, LLM-based system that generates personalised, curriculum-aligned feedback in science education. LearnLens comprises…

计算机与社会 · 计算机科学 2025-10-15 Runcong Zhao , Artem Bobrov , Jiazheng Li , Cesare Aloisi , Yulan He

Eye-tracking offers rich insights into student cognition and engagement, but remains underutilized in classroom-facing educational technology due to challenges in data interpretation and accessibility. In this paper, we present the…

Learning Analytics Dashboards can be a powerful tool to support self-regulated learning in Digital Learning Environments and promote development of meta-cognitive skills, such as reflection. However, their effectiveness can be affected by…

机器学习 · 计算机科学 2025-11-18 Alina Deriyeva , Benjamin Paassen

Machine learning has been proposed as a way to improve educational assessment by making fine-grained predictions about student performance and learning relationships between items. One challenge with many machine learning approaches is…

机器学习 · 计算机科学 2025-07-14 Arisha Khan , Nathaniel Li , Tori Shen , Anna N. Rafferty

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

人工智能 · 计算机科学 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

Learning analytics dashboards (LADs) aim to support students' regulation of learning by translating complex data into feedback. Yet students, especially those with lower self-regulated learning (SRL) competence, often struggle to engage…

人工智能 · 计算机科学 2026-04-28 Yildiz Uzun , Andrea Gauthier , Mutlu Cukurova

Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educational effectiveness has not always matched the sophistication…

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor…

Generative AI tools are increasingly used for coursework help, shifting much of students' help-seeking and reasoning into student-AI chats that are largely invisible to instructors. This loss of visibility can weaken instructors' ability to…

人机交互 · 计算机科学 2026-03-25 Boxuan Ma , Baofeng Ren , Huiyong Li , Gen Li , Li Chen , Atsushi Shimada , Shin'Ichi Konomi

The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them while making decisions. Current developments in AI can be…

计算机与社会 · 计算机科学 2021-08-02 Ajay Kulkarni

The ActiveAI project addresses key challenges in AI education for grades 7-9 students by providing an engaging AI literacy learning experience based on the AI4K12 knowledge framework. Utilizing learning science mechanisms such as goal-based…

计算机与社会 · 计算机科学 2023-09-25 Ying Jui Tseng , Gautam Yadav

With the rapid development of online education in recent years, there has been an increasing number of learning platforms that provide students with multi-step questions to cultivate their problem-solving skills. To guarantee the high…

人机交互 · 计算机科学 2020-09-29 Meng Xia , Reshika Palaniyappan Velumani , Yong Wang , Huamin Qu , Xiaojuan Ma

The integration of Generative AI (GenAI) into education has raised concerns about over-reliance and superficial learning, particularly in writing tasks in higher education. This study explores whether a theory-driven learning analytics…

人机交互 · 计算机科学 2025-06-25 Angxuan Chen , Jingjing Lian , Xinran Kuang , Jiyou Jia

The rapid development of generative AI (GenAI) models in computer vision necessitates effective evaluation methods to ensure their quality and fairness. Existing tools primarily focus on dataset quality assurance and model explainability,…

人机交互 · 计算机科学 2024-02-07 Tica Lin , Hanspeter Pfister , Jui-Hsien Wang

The advent of Generative AI (GenAI) in education presents a transformative approach to traditional teaching methodologies, which often overlook the diverse needs of individual students. This study introduces a GenAI tool, based on advanced…

计算机与社会 · 计算机科学 2024-03-20 Kostas Karpouzis , Dimitris Pantazatos , Joanna Taouki , Kalliopi Meli

Professional creative software has steep learning curves for novices due to complex interfaces, limited guidance, and unfamiliar terminology. To support educators and tool creators in addressing learner challenges, we introduce TaskLens, an…

人机交互 · 计算机科学 2026-04-28 Yimeng Liu , Misha Sra

The emergence of Large Language Models (LLMs) presents transformative opportunities for education, generating numerous novel application scenarios. However, significant challenges remain: evaluation metrics vary substantially across…

计算机与社会 · 计算机科学 2025-08-01 Shou'ang Wei , Xinyun Wang , Shuzhen Bi , Jian Chen , Ruijia Li , Bo Jiang , Xin Lin , Min Zhang , Yu Song , BingDong Li , Aimin Zhou , Hao Hao

This study explores the integration of AI, particularly large language models (LLMs) like ChatGPT, into educational settings, focusing on the implications for teaching and learning. Through interviews with course coordinators from data…

人工智能 · 计算机科学 2025-10-02 J. A. Hageman , C. F. W. Peeters

Personalized feedback plays an important role in self-regulated learning (SRL), helping students track progress and refine their strategies. However, current common solutions, such as text-based reports or learning analytics dashboards,…

人机交互 · 计算机科学 2026-02-20 Leixian Shen , Yan Luo , Rui Sheng , Yujia He , Haotian Li , Leni Yang , Huamin Qu

Recent advances in Internet-of-Things (IoT) technologies have sparked significant interest towards developing learning-based sensing applications on embedded edge devices. These efforts, however, are being challenged by the complexities of…

系统与控制 · 电气工程与系统科学 2024-02-23 Abdulrahman Bukhari , Seyedmehdi Hosseinimotlagh , Hyoseung Kim
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