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In this paper we present a method of modeling and analysis that permits the extraction and quantitative display of detailed information about the effects of instruction on a class's knowledge. The method relies on a congitive model that…

Physics Education · Physics 2012-09-05 Lei Bao , Edward F. Redish

The easiness, speed, accuracy, security are the four main indicators of information quality that may be of concern to people for accessing information in a public institution dashboard system. To find out whether the data displayed on the…

Human-Computer Interaction · Computer Science 2021-04-14 Aang Subiyakto , Rohadatul Aisy , Bernadus Gunawan Sudarsono , Manorang Sihotang , Didik Setiyadi , Asrul Sani

E-learning and online education have made great strides in the recent past. It has moved from a knowledge transfer model to a highly intellect, swift and interactive proposition capable of advanced decision-making abilities. Two challenges…

Computers and Society · Computer Science 2017-09-06 Monika Rani , Riju Nayak , O. P. Vyas

While there is evidence that user-adaptive support can greatly enhance the effectiveness of educational systems, designing such support for exploratory learning environments (e.g., simulations) is still challenging due to the open-ended…

Artificial Intelligence · Computer Science 2021-06-15 Sébastien Lallé , Cristina Conati

This study aims to determine a predictive model to learn students probability to pass their courses taken at the earliest stage of the semester. To successfully discover a good predictive model with high acceptability, accurate, and…

Machine Learning · Computer Science 2023-04-13 Anabella C. Doctor

AI-supported tools can help learners overcome challenges in programming education by providing adaptive assistance. However, existing research often focuses on individual tools rather than deriving broader design recommendations. A key…

Human-Computer Interaction · Computer Science 2025-03-04 Zihan Wu , Yicheng Tang , Barbara Ericson

The use of deep learning methods to automatically detect students' classroom behavior is a promising approach for analyzing their class performance and improving teaching effectiveness. However, the lack of publicly available datasets on…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Fan Yang , Tao Wang

Reinforcement learning (rl) is a popular paradigm for sequential decision making problems. The past decade's advances in rl have led to breakthroughs in many challenging domains such as video games, board games, robotics, and chip design.…

Machine Learning · Computer Science 2022-11-01 Yanick Schraner

The birth of massive open online courses (MOOCs) has had an undeniable effect on how teaching is being delivered. It seems that traditional in class teaching is becoming less popular with the young generation, the generation that wants to…

Computers and Society · Computer Science 2020-12-03 Sepinoud Azimi , Carmen-Gabriela Popa , Tatjana Cucić

During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change from in person learning traditional to online platforms. The change of learning convention has impacted the teacher-student especially in…

Human-Computer Interaction · Computer Science 2025-06-09 Mohammed Almutairi

This Innovative Practice Full Paper presents an approach of using software development artifacts to gauge student behavior and the effectiveness of changes to curriculum design. There is an ongoing need to adapt university courses to…

Software Engineering · Computer Science 2019-03-21 Christoph Matthies , Ralf Teusner , Guenter Hesse

The rapid integration of Large Language Models (LLMs) into software engineering practice is reshaping how software testing activities are performed. LLMs are increasingly used to support software testing. Consequently, software testing…

Software Engineering · Computer Science 2026-03-30 Peng Yang , Yunfeng Zhu , Chao Chang , Shengcheng Yu , Zhenyu Chen , Yong Tang

Measuring instructors' adoption of learning management system (LMS) tools is a critical first step in evaluating the efficacy of online teaching and learning at scale. Existing models for LMS adoption are often qualitative,…

Human-Computer Interaction · Computer Science 2024-07-19 Taha Hassan , Bob Edmison , Daron Williams , Larry Cox , Matthew Louvet , Bart Knijnenburg , D. Scott McCrickard

Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extends that focus to classroom instruction. To best examine…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Ömer Sümer , Patricia Goldberg , Sidney D'Mello , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

Educators teaching entry-level university engineering modules face the challenge of identifying which topics students find most difficult and how to support diverse student needs effectively. This study demonstrates a rigorous yet…

Computers and Society · Computer Science 2025-06-03 Yiwei Sun

Large Language Models (LLMs) are increasingly being used in educational and learning applications. Research has demonstrated that controlling for style, to fit the needs of the learner, fosters increased understanding, promotes inclusion,…

Computation and Language · Computer Science 2024-06-19 Ankit Aich , Tingting Liu , Salvatore Giorgi , Kelsey Isman , Lyle Ungar , Brenda Curtis

Research articles can support teaching by introducing the latest expert thinking on relevant topics and trends and describing practical real-world case studies to encourage discussion and analysis. However, from the point of view of the…

Computers and Society · Computer Science 2016-06-07 Harry Zurita , Sean B. Maynard , Atif Ahmad

Knowing how test takers answer items in educational assessments is essential for test development, to evaluate item quality, and to improve test validity. However, this process usually requires extensive pilot studies with human…

Computation and Language · Computer Science 2025-06-12 Andreas Säuberli , Diego Frassinelli , Barbara Plank

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

Purpose: The teacher role in the classroom can explain important aspects of the student's school experience. The teacher-student relationship, a central dimension of social capital, influences students' engagement, and the teaching style…