The innovative teaching method aiming to reverse plummeting maths attainment in Scotland's schools Scottish school pupils could see a boost in their maths and STEM attainment thanks to a new pilot ...
Associate Prof Ton Than, former Head of the Mathematics-Informatics Department of the Vietnam Institute of Educational Sciences, says that teacher training methods in mathematics studies remain ...
Opposition parties have been trying to finalise a candidate for the Vice Presidential election after addressing concerns raised by the Trinamool Congress, among others. The Mamata Banerjee-led party ...
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Abstract: This article proposes a graphical method to evaluate the feasibility of intentional islanding of distributed synchronous generators. The approach is based on the combination of the ...
MADURAI: Bio-Maths group, popularly called as first group, is losing demand among class XI students as more number of government school students are opting for Computer-Maths group. Change of ...
CHENNAI: A first-of-its-kind State-Level Achievement Survey that tested 9,80,341 students in Classes 3, 5 and 8 has found that the average mark scored by Class 8 students in Mathematics and Science ...
Transforming negative attitudes towards mathematics through Responsibility Theory. How often do we hear students declare, “I hate maths”? Equally, how frequently do we hear enthusiastic expressions ...
A Grattan Institute study has found that not only are Australia's students struggling with maths, but many teachers lack the confidence to teach it even at a Year Six level. The institute has called ...
Abstract: It is well known that seven parameters completely describe a circular cone-beam geometry in either flat-panel X-ray computed tomography (CT) or single pinhole SPECT imaging. This paper ...
This is a preview. Log in through your library . Abstract Graphical methods are useful in statistics in exploratory analysis and in the presentation of conclusions, and to a more limited extent in ...
A critical advancement in recent times has been exploring reinforcement learning (RL) techniques to improve LLMs beyond traditional supervised fine-tuning methods. RL allows models to learn optimal ...