Attila Egri-Nagy’s research while affiliated with Akita International University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (2)


A New Model of Mathematics Education: Flat Curriculum with Self-Contained Micro Topics
  • Article
  • Full-text available

September 2021

·

58 Reads

·

1 Citation

·

Attila Egri-Nagy

The traditional way of presenting mathematical knowledge is logical deduction, which implies a monolithic structure with topics in a strict hierarchical relationship. Despite many recent developments and methodical inventions in mathematics education, many curricula are still close in spirit to this hierarchical structure. However, this organisation of mathematical ideas may not be the most conducive way for learning mathematics. In this paper, we suggest that flattening curricula by developing self-contained micro topics and by providing multiple entry points to knowledge by making the dependency graph of notions and subfields as sparse as possible could improve the effectiveness of teaching mathematics. We argue that a less strictly hierarchical schedule in mathematics education can decrease mathematics anxiety and can prevent students from ‘losing the thread’ somewhere in the process. This proposal implies a radical re-evaluation of standard teaching methods. As such, it parallels philosophical deconstruction. We provide two examples of how the micro topics can be implemented and consider some possible criticisms of the method. A full-scale and instantaneous change in curricula is neither feasible nor desirable. Here, we aim to change the prevalent attitude of educators by starting a conversation about the flat curriculum alternative.

Download

Citations (2)


... Proficiency in basic mathematics skills, such as operations involving integers, fractions, and algebraic expressions, is essential for student success. These foundational skills are particularly important due to the hierarchical structure of mathematics (Ernest, 2013;Hoffmann & Egri-Nagy, 2021) and the necessity of numeracy skills (Westwood, 2021). They serve as the cornerstone for various disciplines, including accounting, science, technology, engineering, and mathematics (Büchele et al., 2022;Zakaria et al., 2010). ...

Reference:

Perceptions of failed mathematics education students toward preparatory mathematics course
A New Model of Mathematics Education: Flat Curriculum with Self-Contained Micro Topics

... With accurate strength estimation, the AI can first predict a player's strength and subsequently provide an appropriate level of difficulty for human learning. Several methods (Moudřík & Neruda, 2016;Liu et al., 2020;Egri-Nagy & Tormanen, 2020;Scheible & Schütze, 2014) have been proposed to estimate player strength in games. For example, Liu et al. (2020) proposes estimating a player's strength by using the strength index with MCTS, as described in the previous subsection, to play against human players. ...

Derived metrics for the game of Go – intrinsic network strength assessment and cheat-detection
  • Citing Conference Paper
  • November 2020