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Related papers: Behavioural predictors of math anxiety

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Large language models have demonstrated impressive performance on challenging mathematical reasoning tasks, which has triggered the discussion of whether the performance is achieved by true reasoning capability or memorization. To…

To investigate whether bullying and psychological conditions are correlated, this study analyzed a survey of primary and secondary school students from Zigong City, Sichuan Province. A total of 95,545 students completed a personal…

Physics and Society · Physics 2023-06-13 Na Zhao , Shenglong Yang , Qiangjian Zhang , Jian Wang , Wei Xie , Youguo Tan , Tao Zhou

This paper investigates the causal impact of the parental environment on the student's academic performance in mathematics, literature and English (as a foreign language), using a new database covering all children aged 8 to 15 of the…

General Economics · Economics 2025-10-22 Gaëlle Aymeric , Emmanuelle Lavaine , Brice Magdalou

This study provides a predictive measurement tool to examine perceived anxiety from a longitudinal perspective, using a non-intrusive machine learning approach to scale human rating of anxiety in microblogs. Results suggest that our chosen…

Human-Computer Interaction · Computer Science 2019-09-17 Dritjon Gruda , Souleiman Hasan

Evaluation of students' performance for the completion of courses has been a major problem for both students and faculties during the work-from-home period in this COVID pandemic situation. To this end, this paper presents an in-depth…

Machine Learning · Computer Science 2020-09-08 Vipul Bansal , Himanshu Buckchash , Balasubramanian Raman

Behavioural analytics provides insights into individual and crowd behaviour, enabling analysis of what previously happened and predictions for how people may be likely to act in the future. In defence and security, this analysis allows…

Computers and Society · Computer Science 2025-02-04 Richard Lane , Hannah State-Davey , Claire Taylor , Wendy Holmes , Rachel Boon , Mark Round

Our brain learns to update its mental model of the environment by abstracting sensory experiences for adaptation and survival. Learning to categorize sounds is one essential abstracting process for high-level human cognition, such as speech…

Neurons and Cognition · Quantitative Biology 2025-10-22 Nan Wang , Gangyi Feng

Math is the backbone of any field. Still its a night mare for many. Recent survey proves that many students become dropouts from their higher education due to math courses. ICT is an enchanted word in the contemporary educational…

Computers and Society · Computer Science 2015-04-09 R. D. Balaji , V. Veeramani , Malathi Balaji

The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting dropout based upon behavioral features such as student…

Computers and Society · Computer Science 2018-09-05 Niki Gitinabard , Farzaneh Khoshnevisan , Collin F. Lynch , Elle Yuan Wang

The rapid adoption of LLM-based conversational systems is already transforming the landscape of educational technology. However, the current state-of-the-art learning models do not take into account the student's affective states. Multiple…

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored…

Human-Computer Interaction · Computer Science 2024-12-17 Conrad Borchers , Jeroen Ooge , Cindy Peng , Vincent Aleven

Instructors of statistics who teach non-statistics majors possess varied academic backgrounds, and hence it is reasonable to expect variability in their content knowledge, and pedagogical approach. The aim of this study was to determine the…

Methodology · Statistics 2010-07-20 Rossi A. Hassad

In the educational domain, identifying students at risk of dropping out is essential for allowing educators to intervene effectively, improving both academic outcomes and overall student well-being. Data in educational settings often…

Computers and Society · Computer Science 2025-03-11 Jiabei Cheng , Zhen-Qun Yang , Jiannong Cao , Yu Yang , Kai Cheung Franky Poon , Daniel Lai

Students express a wide range of preferences for learning environments. We are trying to measure the manifestation of learning styles in various learning environments. In particular, we are interested in performance in an environment that…

Physics Education · Physics 2007-05-23 Stacey M. Davis , Scott V. Franklin

Analyzed models of learning, which take into account that: 1) the rate of increase of student's knowledge is proportional to the difference between levels of teacher's requirements and prior knowledge; 2) if the requirements are too high,…

Other Computer Science · Computer Science 2013-12-10 R. V. Mayer

This research is comparing learning environments to students dropout intentions. While using statistics I looked at data and the correlations between two articles to see how the two studies looked side to side. Learning environments and…

Computers and Society · Computer Science 2021-06-01 Edward Simmons

Problem. Educational disparities in Mathematics performance are a persistent challenge. This study aims to unravel the complex factors contributing to these disparities among students internationally, with a focus on the interpretability of…

Computers and Society · Computer Science 2025-02-28 Ismael Gomez-Talal , Luis Bote-Curiel , Jose Luis Rojo-Alvarez

Math Anxiety is experienced by students. This is caused mainly by poor academic performance specifically in Calculus and Precalculus in Mathematics. From 2014 to 2016, an average rating of 70.33 percent for secondary education and 71.1…

History and Overview · Mathematics 2021-09-21 Carlo Hernandez Godoy

A large body of research demonstrates how teachers' questioning strategies can improve student learning outcomes. However, developing new scenarios is challenging because of the lack of training data for a specific scenario and the costs…

Artificial Intelligence · Computer Science 2021-12-03 Debajyoti Datta , Maria Phillips , James P Bywater , Jennifer Chiu , Ginger S. Watson , Laura E. Barnes , Donald E Brown

The identification and analysis of student satisfaction is a challenging issue. This is becoming increasingly important since a measure of student satisfaction is taken as an indication of how well a course has been taught. However, it…

Computers and Society · Computer Science 2020-06-16 Farzana Afrin , Mohammad Saiedur Rahaman , Margaret Hamilton