Ranking difficulty of knowledge units based on learning dependency

Jun Liu; Sha Sha; Qinghua Zheng; Ling Chen

doi:10.1109/ICEBE.2010.17

Ranking difficulty of knowledge units based on learning dependency

Jun Liu
, Sha Sha
, Qinghua Zheng
, Ling Chen

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

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

3 Scopus citations

Abstract

Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of knowledge units. We present the hierarchical structure and properties of knowledge maps, propose three hypotheses based on the correlation between the difficulty of knowledge units and learning dependency, and then provide a method for ranking knowledge units with objective and subjective difficulty. The experiment on the "plane geometry" knowledge map shows that our methods can precisely calculate the difficulty of knowledge units.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010
Pages	77-82
Number of pages	6
DOIs	https://doi.org/10.1109/ICEBE.2010.17
State	Published - 2010
Event	IEEE International Conference on E-Business Engineering, ICEBE 2010 - Shanghai, China Duration: 10 Nov 2010 → 12 Nov 2010

Publication series

Name	Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010

Conference

Conference	IEEE International Conference on E-Business Engineering, ICEBE 2010
Country/Territory	China
City	Shanghai
Period	10/11/10 → 12/11/10

Keywords

Difficulty of knowledge units
Knowledge map
Objective difficulty
Subjective difficulty

Access to Document

10.1109/ICEBE.2010.17

Cite this

@inproceedings{12863f0ffe1a4f3ab3b1c7ee9bd8049e,

title = "Ranking difficulty of knowledge units based on learning dependency",

abstract = "Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of knowledge units. We present the hierarchical structure and properties of knowledge maps, propose three hypotheses based on the correlation between the difficulty of knowledge units and learning dependency, and then provide a method for ranking knowledge units with objective and subjective difficulty. The experiment on the {"}plane geometry{"} knowledge map shows that our methods can precisely calculate the difficulty of knowledge units.",

keywords = "Difficulty of knowledge units, Knowledge map, Objective difficulty, Subjective difficulty",

author = "Jun Liu and Sha Sha and Qinghua Zheng and Ling Chen",

year = "2010",

doi = "10.1109/ICEBE.2010.17",

language = "英语",

isbn = "9780769542270",

series = "Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010",

pages = "77--82",

booktitle = "Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010",

note = "IEEE International Conference on E-Business Engineering, ICEBE 2010 ; Conference date: 10-11-2010 Through 12-11-2010",

}

Liu, J, Sha, S, Zheng, Q & Chen, L 2010, Ranking difficulty of knowledge units based on learning dependency. in Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010., 5704278, Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010, pp. 77-82, IEEE International Conference on E-Business Engineering, ICEBE 2010, Shanghai, China, 10/11/10. https://doi.org/10.1109/ICEBE.2010.17

Ranking difficulty of knowledge units based on learning dependency. / Liu, Jun; Sha, Sha; Zheng, Qinghua et al.
Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010. 2010. p. 77-82 5704278 (Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010).

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

TY - GEN

T1 - Ranking difficulty of knowledge units based on learning dependency

AU - Liu, Jun

AU - Sha, Sha

AU - Zheng, Qinghua

AU - Chen, Ling

PY - 2010

Y1 - 2010

N2 - Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of knowledge units. We present the hierarchical structure and properties of knowledge maps, propose three hypotheses based on the correlation between the difficulty of knowledge units and learning dependency, and then provide a method for ranking knowledge units with objective and subjective difficulty. The experiment on the "plane geometry" knowledge map shows that our methods can precisely calculate the difficulty of knowledge units.

AB - Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of knowledge units. We present the hierarchical structure and properties of knowledge maps, propose three hypotheses based on the correlation between the difficulty of knowledge units and learning dependency, and then provide a method for ranking knowledge units with objective and subjective difficulty. The experiment on the "plane geometry" knowledge map shows that our methods can precisely calculate the difficulty of knowledge units.

KW - Difficulty of knowledge units

KW - Knowledge map

KW - Objective difficulty

KW - Subjective difficulty

UR - https://www.scopus.com/pages/publications/79951800193

U2 - 10.1109/ICEBE.2010.17

DO - 10.1109/ICEBE.2010.17

M3 - 会议稿件

AN - SCOPUS:79951800193

SN - 9780769542270

T3 - Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010

SP - 77

EP - 82

BT - Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010

T2 - IEEE International Conference on E-Business Engineering, ICEBE 2010

Y2 - 10 November 2010 through 12 November 2010

ER -

Ranking difficulty of knowledge units based on learning dependency

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this