Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application

05/11/2021
by   Chang-Shing Lee, et al.
0

In this paper, the Robotic Assistant Agent for student and machine co-learning on AI-FML practice with AIoT application is presented. The structure of AI-FML contains three parts, including fuzzy logic, neural network, and evolutionary computation. Besides, the Robotic Assistant Agent (RAA) can assist students and machines in co-learning English and AI-FML practice based on the robot Kebbi Air and AIoT-FML learning tool. Since Sept. 2019, we have introduced an Intelligent Speaking English Assistant (ISEA) App and AI-FML platform to English and computer science learning classes at two elementary schools in Taiwan. We use the collected English-learning data to train a predictive regression model based on students' monthly examination scores. In Jan. 2021, we further combined the developed AI-FML platform with a novel AIoT-FML learning tool to enhance students' interests in learning English and AI-FML with basic hands-on practice. The proposed RAA is responsible for reasoning students' learning performance and showing the results on the AIoT-FML learning tool after communicating with the AI-FML platform. The experimental results and the collection of students' feedback show that this kind of learning model is popular with elementary-school and high-school students, and the learning performance of elementary-school students is improved.

READ FULL TEXT

page 2

page 3

page 4

research
06/18/2020

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

In this paper, we propose an AI-FML robotic agent for student learning b...
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
01/29/2019

Performance comparison of an AI-based Adaptive Learning System in China

Adaptive learning systems stand apart from traditional learning systems ...
research
05/07/2019

Descriptive evaluation of students using fuzzy approximate reasoning

In recent years, descriptive evaluation has been introduced as a new mod...
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
04/28/2023

Emerging Technologies in Requirements Elicitation Interview Training: Robotic and Virtual Tutors

[Context] Requirements elicitation interviews are the most widely used e...
research
10/08/2021

Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students

The formulation of good academic paper titles in English is challenging ...

Please sign up or login with your details

Forgot password? Click here to reset