Study on Personalized Course Generation Based on Layered Recommendation Algorithm
-
- 발행기관
- 보안공학연구지원센터(IJMUE) 바로가기
-
- 간행물
- International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
-
- 통권
- Vol.10 No.2 (2015.02)바로가기
-
- 페이지
- pp.25-36
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A240313
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The paper introduces the concept of a layered recommendation system (LRS) based on multi-dimensional feature vectors to implement personalized course generation model and algorithms. In this work, we present a personalized course generation algorithm based on the multi-dimensional feature vectors (PCG-LRS) and hybrid applications by content-based recommendations and collaborative filtering recommendation algorithm to generate personalized curriculums. Based on this algorithm, we introduce the teaching outline as the basis of the initial generated course and the final learning goals. The knowledge base of the courses can be constructed from the teaching outline. The initial personalized knowledge models of students are generated by pre-tests. These personalized knowledge models are the base of personalized course generation. This algorithm not only helps teachers to develop the overall curriculum teaching plan and to generate the curriculum automatically, but also meets the learning requirements of each individual student with different knowledge and abilities. Additionally, the layered recommendation algorithm recommends content within a large-scale knowledge base repository and resource base implement at different levels. The personalized recommendation algorithm is divided into a number of steps, which achieves an effective dimensionality reduction, reduces the amount of computation, and improves the courses generated algorithm.
목차
Abstract
1. Introduction
2. Personalized Course Generation Model based on Layered Recommendation Algorithm
3. Conceptual Model of Personalized Course Generation
3.1. User Model
3.2. The Learning Object Model
4. Recommendation Algorithm based on Knowledge Structure and the Personalized Feature of Knowledge
4.1. Course Knowledge Structure Generation Algorithm for Goal-oriented and Initial Personality Characteristics
4.2. Personalized Knowledge Structure Generation Algorithm based on the Personalized Characteristics of Knowledge
4.3. Learning Objects Generation Algorithm based on the User Personality Characteristics
5. Experimental Analysis and Results
5.1. Set Different Thresholdd, the Effectiveness of Course Knowledge Domain is Generated
5.2 Several Different Difficulty Difference Function Value Comparison
6. Conclusion
References
키워드
layered recommendation system Personalized learning Recommendation algorithms Course generation저자
간행물 정보
발행기관
-
- 발행기관명
- 보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
-
- 간행물명
- International Journal of Multimedia and Ubiquitous Engineering
- 간기
- 월간
- pISSN
- 1975-0080
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.10 No.2
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
0개의 논문이 장바구니에 담겼습니다.