Automated course composition and recommendation based on a learner intention

Hua Tsai Kun; Cheng Hsieh Tung; Kai Chiu Ti; Che Lee Ming; Tzone-I Wang

doi:10.1109/ICALT.2007.80

Automated course composition and recommendation based on a learner intention

Hua Tsai Kun, Cheng Hsieh Tung, Kai Chiu Ti, Che Lee Ming, Tzone-I Wang

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Traditionally, the presentation order of the learning objects in a course must be described previously and manually. In a personalized tutoring system that may give different courses to different learners, planning the presentation order of courses can be irritating and time-wasting. This paper proposes an approach that can automatically composite and recommend courses to learners with different presentation order and in accord with their intentions. First, a course MAP is constructed according to the contents of related domain ontology and web pages collected form the Internet. Then, a learner's intention is analyzed for compositing automatically suitable orders of the learning objects to form a personalized course. This proposed approach can also recommend learning objects according to a learner's preferences and others' feedbacks. By this approach, personalized courses can be achieved more easily.

Original language	English
Title of host publication	Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Pages	274-278
Number of pages	5
DOIs	https://doi.org/10.1109/ICALT.2007.80
Publication status	Published - 2007 Dec 1
Event	7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 - Niigata, Japan Duration: 2007 Jul 18 → 2007 Jul 20

Publication series

Name	Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

Other

Other	7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Country	Japan
City	Niigata
Period	07-07-18 → 07-07-20

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems and Management

Access to Document

10.1109/ICALT.2007.80

Fingerprint Dive into the research topics of 'Automated course composition and recommendation based on a learner intention'. Together they form a unique fingerprint.

Cite this

Kun, H. T., Tung, C. H., Ti, K. C., Ming, C. L., & Wang, T-I. (2007). Automated course composition and recommendation based on a learner intention. In Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 (pp. 274-278). [4281009] (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007). https://doi.org/10.1109/ICALT.2007.80

Kun, Hua Tsai ; Tung, Cheng Hsieh ; Ti, Kai Chiu ; Ming, Che Lee ; Wang, Tzone-I. / Automated course composition and recommendation based on a learner intention. Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007. 2007. pp. 274-278 (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007).

@inproceedings{0192569b646042a0b002d98b261659a0,

title = "Automated course composition and recommendation based on a learner intention",

abstract = "Traditionally, the presentation order of the learning objects in a course must be described previously and manually. In a personalized tutoring system that may give different courses to different learners, planning the presentation order of courses can be irritating and time-wasting. This paper proposes an approach that can automatically composite and recommend courses to learners with different presentation order and in accord with their intentions. First, a course MAP is constructed according to the contents of related domain ontology and web pages collected form the Internet. Then, a learner's intention is analyzed for compositing automatically suitable orders of the learning objects to form a personalized course. This proposed approach can also recommend learning objects according to a learner's preferences and others' feedbacks. By this approach, personalized courses can be achieved more easily.",

author = "Kun, {Hua Tsai} and Tung, {Cheng Hsieh} and Ti, {Kai Chiu} and Ming, {Che Lee} and Tzone-I Wang",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ICALT.2007.80",

language = "English",

isbn = "076952916X",

series = "Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007",

pages = "274--278",

booktitle = "Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007",

note = "7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 ; Conference date: 18-07-2007 Through 20-07-2007",

}

Kun, HT, Tung, CH, Ti, KC, Ming, CL & Wang, T-I 2007, Automated course composition and recommendation based on a learner intention. in Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007., 4281009, Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, pp. 274-278, 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, 07-07-18. https://doi.org/10.1109/ICALT.2007.80

Automated course composition and recommendation based on a learner intention. / Kun, Hua Tsai; Tung, Cheng Hsieh; Ti, Kai Chiu; Ming, Che Lee; Wang, Tzone-I.

Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007. 2007. p. 274-278 4281009 (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automated course composition and recommendation based on a learner intention

AU - Kun, Hua Tsai

AU - Tung, Cheng Hsieh

AU - Ti, Kai Chiu

AU - Ming, Che Lee

AU - Wang, Tzone-I

PY - 2007/12/1

Y1 - 2007/12/1

N2 - Traditionally, the presentation order of the learning objects in a course must be described previously and manually. In a personalized tutoring system that may give different courses to different learners, planning the presentation order of courses can be irritating and time-wasting. This paper proposes an approach that can automatically composite and recommend courses to learners with different presentation order and in accord with their intentions. First, a course MAP is constructed according to the contents of related domain ontology and web pages collected form the Internet. Then, a learner's intention is analyzed for compositing automatically suitable orders of the learning objects to form a personalized course. This proposed approach can also recommend learning objects according to a learner's preferences and others' feedbacks. By this approach, personalized courses can be achieved more easily.

AB - Traditionally, the presentation order of the learning objects in a course must be described previously and manually. In a personalized tutoring system that may give different courses to different learners, planning the presentation order of courses can be irritating and time-wasting. This paper proposes an approach that can automatically composite and recommend courses to learners with different presentation order and in accord with their intentions. First, a course MAP is constructed according to the contents of related domain ontology and web pages collected form the Internet. Then, a learner's intention is analyzed for compositing automatically suitable orders of the learning objects to form a personalized course. This proposed approach can also recommend learning objects according to a learner's preferences and others' feedbacks. By this approach, personalized courses can be achieved more easily.

UR - http://www.scopus.com/inward/record.url?scp=47649088214&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47649088214&partnerID=8YFLogxK

U2 - 10.1109/ICALT.2007.80

DO - 10.1109/ICALT.2007.80

M3 - Conference contribution

AN - SCOPUS:47649088214

SN - 076952916X

SN - 9780769529165

T3 - Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

SP - 274

EP - 278

BT - Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

T2 - 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

Y2 - 18 July 2007 through 20 July 2007

ER -

Kun HT, Tung CH, Ti KC, Ming CL, Wang T-I. Automated course composition and recommendation based on a learner intention. In Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007. 2007. p. 274-278. 4281009. (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007). https://doi.org/10.1109/ICALT.2007.80