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This paper examines some methods and ideas underlying the author's successful probabilistic learning systems(PLS), which have proven uniquely effective and efficient in generalization learning or induction. While the emerging principles are…

Artificial Intelligence · Computer Science 2013-04-15 Larry Rendell

Multiple external representations (MERs) and personalized feedback support physics learning, yet evidence on how personalized feedback can effectively integrate MERs remains limited. This question is particularly timely given the emergence…

In theoretical ML, the teacher-student paradigm is often employed as an effective metaphor for real-life tuition. The above scheme proves particularly relevant when the student network is overparameterized as compared to the teacher…

Machine Learning · Computer Science 2023-11-06 Lorenzo Giambagli , Lorenzo Buffoni , Lorenzo Chicchi , Duccio Fanelli

The scope of this paper was to find out how the students in Computer Science perceive different teaching styles and how the teaching style impacts the learning desire and interest in the course. To find out, we designed and implemented an…

Human-Computer Interaction · Computer Science 2023-07-11 Manuela Petrescu , Kuderna Bentasup

This study explores the thematic evolution of articles in The Physics Teacher and Physics Education journals, over a critical period in modern history, from the Cold War era to the pre-pandemic world (1966 - 2019). Using an NLP-based…

Physics Education · Physics 2026-01-07 Martina Caramaschi , Tor Ole B. Odden

Tailoring the presentation of information to the needs of individual students leads to massive gains in student outcomes~\cite{bloom19842}. This finding is likely due to the fact that different students learn differently, perhaps as a…

Computers and Society · Computer Science 2018-09-27 Sam Saarinen , Evan Cater , Michael Littman

We propose a unified learning framework for identifying the profile function in discrete Keller-Segel equations, which are widely used mathematical models for understanding chemotaxis. Training data are obtained via either a rigorously…

Numerical Analysis · Mathematics 2025-10-28 Chi-An Chen , Chun Liu , Ming Zhong

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

Balancing group teaching and individual mentoring is an important issue in education area. The nature behind this issue is to explore common characteristics shared by multiple students and individual characteristics for each student.…

Artificial Intelligence · Computer Science 2020-10-26 Zhen Wang , Ben Teng , Yun Zhou , Hanshuang Tong , Guangtong Liu

One of the important problems of cyber pedagogy is the following: how, knowing the parameters of the student, his initial level of knowledge and the impact of the teacher to predict knowledge of student at subsequent times. Simulation…

Computers and Society · Computer Science 2013-12-24 Robert V Mayer

Curriculum learning--ordering training examples in a sequence to aid machine learning--takes inspiration from human learning, but has not gained widespread acceptance. Static strategies for scoring item difficulty rely on indirect proxy…

Machine Learning · Computer Science 2026-03-17 Zhenwei Tang , Amogh Inamdar , Ashton Anderson , Richard Zemel

Performance Modeling (PM) teaching started in the early 70s and reached its peak in the 80s. From those years and until today computing systems have deeply changed. Moreover, in the last two decades an economical crisis has involved the…

Computers and Society · Computer Science 2020-01-27 Vittoria de Nitto Personè

We provide ongoing results from the development of a personalized learning system integrated into a serious game. Given limited instructor resources, the use of computerized systems to help tutor students offers a way to provide higher…

Computers and Society · Computer Science 2023-05-29 Ying Tang , Ryan Hare

In June 1965, Sister Mary Kenneth Keller, BVM, received the first US PhD in Computer Science, and this paper outlines her life and accomplishments. As a scholar, she has the distinction of being an early advocate of learning-by-example in…

General Literature · Computer Science 2023-04-03 Jennifer Head , Dianne P. O'Leary

Self-training achieves enormous success in various semi-supervised and weakly-supervised learning tasks. The method can be interpreted as a teacher-student framework, where the teacher generates pseudo-labels, and the student makes…

Computation and Language · Computer Science 2022-05-04 Simiao Zuo , Yue Yu , Chen Liang , Haoming Jiang , Siawpeng Er , Chao Zhang , Tuo Zhao , Hongyuan Zha

Todays, Intelligent and web-based E-Learning is one of the important area in E-Learning. This paper integrates an intelligent and web-based E-Learning with expert system technology to be able to model the learning styles of the learners…

Computers and Society · Computer Science 2013-04-16 Hossein Movafegh Ghadirli , Maryam Rastgarpour

Peer Instruction (PI) was introduced by Mazur to help students learn physics concepts during lectures. Besides physics, PI has also been adopted in other STEM fields. In this approach, students answer a related question individually after a…

Physics Education · Physics 2023-04-12 Boon Leong Lan , Pooi Mee Lim , Patrick W. C. Ho

The amount of published research in Physics Education Research (PER) shows, on one hand, an increasing interest in the design and development of high performance physics teaching strategies, and, on the other hand, it tries to understand…

Physics Education · Physics 2009-02-09 Sergio Rojas

An on-line drilling system, the tutor-web, has been developed and used for teaching mathematics and statistics. The system was used in a basic course in calculus including 182 students. The students were requested to answer quiz questions…

Applications · Statistics 2013-10-31 Anna Helga Jonsdottir , Gunnar Stefansson

We study the Keller-Segel model of chemotaxis and develop a composite particle-grid numerical method with adaptive time stepping which allows us to accurately resolve singular solutions. The numerical findings (in two dimensions) are then…

Analysis of PDEs · Mathematics 2013-02-20 Ibrahim Fatkullin