PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application

02/24/2018
by   Chang-Shing Lee, et al.
0

This paper proposes an agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for students learning performance evaluation and educational applications, and the proposed agent is according to the response data from a conventional test and an item response theory. First, we apply a GS-based parameter estimation mechanism to estimate the items parameters according to the response data, and then to compare its results with those of an IRT-based Bayesian parameter estimation mechanism. In addition, we propose a static-IRT test assembly mechanism to assemble a form for the conventional test. The presented FML-based dynamic assessment mechanism infers the probability of making a correct response to the item for a student with various abilities. Moreover, this paper also proposes a novel PFML learning mechanism for optimizing the parameters between items and students. Finally, we adopt a K-fold cross validation mechanism to evaluate the performance of the proposed agent. Experimental results show that the novel PFML learning mechanism for the parameter estimation and learning optimization performs favorably. We believe the proposed PFML will be a reference for education research and pedagogy and an important co-learning mechanism for future human-machine educational applications.

READ FULL TEXT
research
07/19/2023

Amortised Design Optimization for Item Response Theory

Item Response Theory (IRT) is a well known method for assessing response...
research
01/26/2018

Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning

An intelligent robot agent based on domain ontology, machine learning me...
research
07/17/2020

A network approach to item response data: Development and applications of latent space item response models

We propose a novel network approach to item response data with advantage...
research
01/10/2019

PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

This paper presents a semantic brain computer interface (BCI) agent with...
research
07/29/2023

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory

Item Response Theory (IRT) has been proposed within the field of Educati...
research
08/03/2013

A Rough Computing based Performance Evaluation Approach for Educational Institutions

Performance evaluation of various organizations especially educational i...
research
05/07/2019

Descriptive evaluation of students using fuzzy approximate reasoning

In recent years, descriptive evaluation has been introduced as a new mod...

Please sign up or login with your details

Forgot password? Click here to reset