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Systematic reviews are essential to summarizing the results of different clinical and social science studies. The first step in a systematic review task is to identify all the studies relevant to the review. The task of identifying relevant…

Information Retrieval · Computer Science 2018-01-30 Gaurav Singh , James Thomas , John Shawe-Taylor

Modeling engagement in collaborative learning remains challenging, especially in technology-enhanced environments where surface indicators such as participation frequency can be misleading. This study proposes a lightweight and…

Human-Computer Interaction · Computer Science 2026-01-21 Joan Zhong

Technology integration in educational settings has led to the development of novel sensor-based tools that enable students to measure and interact with their environment. Although reports from using such tools can be positive, evaluations…

While adaptive experimental design has outgrown one-dimensional, staircase-based adaptations, most cognitive experiments still control a single factor and summarize performance with a scalar. We show a validation of a Bayesian, two-axis,…

Machine Learning · Computer Science 2025-10-02 Dom CP Marticorena , Chris Wissmann , Zeyu Lu , Dennis L Barbour

In technical subjects characterized by high enrollment, such as Basic Hydraulics, the assessment of reports necessitates superior levels of objectivity, consistency, and formative feedback; goals often compromised by faculty workload. This…

Computers and Society · Computer Science 2025-10-28 Hugo Roger Paz

While rapid advances in large language models (LLMs) are reshaping data-driven intelligent education, accurately simulating students remains an important but challenging bottleneck for scalable educational data collection, evaluation, and…

Computers and Society · Computer Science 2025-12-05 Haoxuan Li , Jifan Yu , Xin Cong , Yang Dang , Daniel Zhang-li , Lu Mi , Yisi Zhan , Huiqin Liu , Zhiyuan Liu

Providing timely, targeted, and multimodal feedback helps students quickly correct errors, build deep understanding and stay motivated, yet making it at scale remains a challenge. This study introduces a real-time AI-facilitated multimodal…

Human-Computer Interaction · Computer Science 2026-05-14 Chloe Qianhui Zhao , Jie Cao , Jionghao Lin , Kenneth R. Koedinger

Comparing with lecturer marked assessments, peer assessment is a more comprehensive learning process and many of the associated problems have occurred. In this research work, we study the peer-assessment impact on group learning activities…

Computers and Society · Computer Science 2022-01-10 Zhiyuan Chen , Soon Boon Lee , Shazia Paras Shaikh , Mirza Rayana Sanzana

Feedback beyond the grade is an important part of the learning process. However, because of the large student groups, many teachers in higher education are faced with practicalities such as the limited time to prepare and communicate the…

Computers and Society · Computer Science 2023-05-26 Kris Aerts , Wouter Groeneveld

Although conceptual assessment tests are commonly administered at the beginning and end of a semester, this pre-post approach has inherent limitations. Specifically, education researchers and instructors have limited ability to observe the…

Physics Education · Physics 2025-11-06 Jun-ichiro Yasuda , Michael M. Hull , Naohiro Mae , Kentaro Kojima

Providing personalized, detailed feedback at scale in large undergraduate STEM courses remains a persistent challenge. We present an empirically evaluated practice exam system that integrates AI generated feedback with targeted textbook…

Human-Computer Interaction · Computer Science 2025-05-20 Mak Ahmad , Prerna Ravi , David Karger , Marc Facciotti

With the extensive use of digital devices, online experimental platforms are commonly used to conduct experiments to collect data for evaluating different variations of products, algorithms, and interface designs, a.k.a., A/B tests. In…

Methodology · Statistics 2024-07-09 Qiong Zhang , Lulu Kang , Xinwei Deng

Students' answers to tasks provide a valuable source of information in teaching as they result from applying cognitive processes to a learning content addressed in the task. Due to steadily increasing course sizes, analyzing student answers…

Computers and Society · Computer Science 2025-01-22 Dominic Lohr , Marc Berges , Michael Kohlhase , Florian Rabe

Although the use of active learning to increase learners' engagement has recently been introduced in a variety of methods, empirical experiments are lacking. In this study, we attempted to align two experiments in order to (1) make a…

Machine Learning · Computer Science 2020-11-10 Jaeseo Lim , Hwiyeol Jo , Byoung-Tak Zhang , Jooyong Park

Over the past several decades, a large body of research has shown that undergraduate science students learn more and more equitably in active learning classrooms; however, the term "active learning" lacks definition and little research has…

Physics Education · Physics 2026-05-29 Olive Ross , Meagan Sundstrom , N. G. Holmes

A hybrid teaching approach that relied on combining Project Based Learning with Team Based Learning was trialled in an engineering module during the past five years. Our motivation was to expose students to real-world authentic engineering…

Systems and Control · Electrical Eng. & Systems 2021-11-29 Rami Ghannam , Cecilia Chan

In the context of education technology, empathic interaction with the user and feedback by the learning system using multiple inputs such as video, voice and text inputs is an important area of research. In this paper, a nonintrusive,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-16 S L Happy , A. Dasgupta , P. Patnaik , A. Routray

This study investigates the effectiveness of Google Workspace in fostering collaboration within academic settings, specifically at the University of Makati. The aim is to evaluate its role in enhancing blended learning practices and…

Computers and Society · Computer Science 2025-05-19 Alexander Pahayahay

Multi-turn interaction remains challenging for online reinforcement learning. A common solution is trajectory-level optimization, which treats each trajectory as a single training sample. However, this approach can be inefficient and yield…

Artificial Intelligence · Computer Science 2025-11-18 Yuhan Chen , Yuxuan Liu , Long Zhang , Pengzhi Gao , Jian Luan , Wei Liu

Effective peer feedback is essential for developing critical reflection in higher education, yet its impact is often limited by the inconsistent quality of student-generated comments. This paper presents the implementation and deployment of…

Human-Computer Interaction · Computer Science 2026-05-07 Alvaro Becerra , Alejandra Palma , Ruth Cobos
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