Learning recommendation with formal concept analysis for intelligent tutoring system

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Muangprathub J., Boonjing V., Chamnongthai K.

ผู้เผยแพร่: Elsevier

ปีที่เผยแพร่ (ค.ศ.): 2020

วารสาร: Heliyon (2405-8440)

Volume number: 6

Issue number: 10

หน้าแรก: 1

หน้าสุดท้าย: 10

จำนวนหน้า: 10

นอก: 2405-8440

eISSN: 2405-8440

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093686535&doi=10.1016%2fj.heliyon.2020.e05227&partnerID=40&md5=11cd39a38381f7bdfedc25bb42428317

ภาษา: English-Great Britain (EN-GB)

ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์

บทคัดย่อ

Computer Science; Learning recommendation; Formal concept analysis; Intelligent tutoring system; Adaptive learning © 2020 The Author(s)The aim of this research was to develop a learning recommendation component in an intelligent tutoring system (ITS) that dynamically predicts and adapts to a learner's style. In order to develop a proper ITS, we present an improved knowledge base supporting adaptive learning, which can be achieved by a suitable knowledge construction. This process is illustrated by implementing a web-based online tutor system. In addition, our knowledge structure provides adaptive presentation and personalized learning with the proposed adaptive algorithm, to retrieve content according to individual learner characteristics. To demonstrate the proposed adaptive algorithm, pre-test and post-test were used to evaluate suggestion accuracy of the course in a class for adapting to a learner's style. In addition, pre- and post-testing were also used with students in a real teaching/learning environment to evaluate the performance of the proposed model. The results show that the proposed system can be used to help students or learners achieve improved learning. © 2020 The Author(s)

คำสำคัญ

Formal concept analysis, Intelligent tutoring system, Learning recommendation