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Sataworn Chaichumpa. Personalised learning method for online learning. Doctoral Degree(Computer Engineering). Mae Fah Luang University . : Mae Fah Luang University , 2017.
Personalised learning method for online learning
Name: Sataworn Chaichumpa
Organization :
Mae Fah Luang University
keyword:
Online learning
LCSH:
Internet in education
Classification :.LCCS: QA76.87
LCSH:
Web-based instruction
LCSH:
Education
-- Computer network resources
Abstract:
Traditionally, teaching methods generally have the same instructional style for all students. Some students may have different abilities to learn, so it causes inappropriate learning. Online learning requires effective learning to provide appropriate feedback and can be personalised for students to achieve their goals. Personalised learning can provide learners with an appropriate learning path to achieve their learning outcomes. Therefore, this dissertation proposes novel measurement to support personalised online learning. More specifically, the Objective Distance (OD), which measures the distance between the current status of a students competency and satisfaction levels needed to achieve the entire course, is proposed in this dissertation. The different Objective Distances (OD) suggests that there are different learning paths to the different learners. The proposed measurement is evaluated with two types of learning environment, including electronic learning (e-learning) and mobile learning (m-learning). For e-learning environment, the proposed measurement is workable with some existing classifiers such as Artificial Neural Network and K-Nearest Neighbor. For m-learning environment, the proposed measurement can provide an effective personalised support for the learner. Additionally, both environments with proposed personalised method can significantly enhance the learning efficiency of the learners.
Mae Fah Luang University
Address:
CHIANG RAI
Email:
library@mfu.ac.th
Name: Punnarumol Temdee
Role:
Advisor
Name: Santichai Wicha
Role:
Co-Advisor
Created:
2017
Issued:
2561
Modified:
2020-05-05
Issued:
2018-10-03
วิทยานิพนธ์/Thesis
application/pdf
Thesis QA76.87 S253p 2017
eng
DegreeName: Dotor of Philosophy
Level: Doctoral Degree
Descipline: Computer Engineering
Grantor: Mae Fah Luang University
ใช้เวลา
0.027168 วินาที
Sataworn Chaichumpa
| Title | Contributor | Type |
|---|---|---|
| Personalised learning method for online learning
มหาวิทยาลัยแม่ฟ้าหลวง Sataworn Chaichumpa | Asst. Prof. Punnarumol Temdee, Ph. D. Santichai Wicha, Ph. D. | วิทยานิพนธ์/Thesis |
Punnarumol Temdee
Santichai Wicha