Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment

Joseph C.H. So; Ho Wai Tung; Ada Chan; Simon Wong; Adam Wong; Henry Chan

doi:10.1109/COMPSAC48688.2020.00287

Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment

Joseph C.H. So, Ho Wai Tung, Ada Chan, Simon Wong, Adam Wong, Henry Chan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Smart Learning Environment (SLE) aims at promoting personalized education in various form with different settings fitting the learners' needs. Many works have done to realise the environment for academic studies. However, the development of the generic competencies is another key element of education. The engagement of students in the developmental activities of generic competencies (GDA) is a main concern of the organizers in tertiary education institutions, particularly the student affair offices. They want to have some predictors to reflect the participation of students with some identifiable factors so that the provision can planned correspondingly. In this work, we attempted to the evaluation on a set of attributes of students to their participation on the GDA by means of the correlation and the classification through logical regression. We studied the records of 1649 graduates in a tertiary education institution across two academic years and found that some single factors are reliable in predicting the tendency of students in taking part in the GDA.

Original language	English
Title of host publication	Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
Editors	W. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	196-200
Number of pages	5
ISBN (Electronic)	9781728173030
DOIs	https://doi.org/10.1109/COMPSAC48688.2020.00287
Publication status	Published - Jul 2020
Event	44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 - Virtual, Madrid, Spain Duration: 13 Jul 2020 → 17 Jul 2020

Publication series

Name	Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020

Conference

Conference	44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020
Country/Territory	Spain
City	Virtual, Madrid
Period	13/07/20 → 17/07/20

Keywords

co-curricular-activities
extra-curricular-activities
Generic-competency
Logical-Regression
Smart-Learning-Environment
student-affairs
sub-degree-education

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Software
Education

More information

10.1109/COMPSAC48688.2020.00287

http://hdl.handle.net/10397/105529

Cite this

So, J. C. H., Tung, H. W., Chan, A., Wong, S., Wong, A., & Chan, H. (2020). Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment. In W. K. Chan, B. Claycomb, H. Takakura, J.-J. Yang, Y. Teranishi, D. Towey, S. Segura, H. Shahriar, S. Reisman, & S. I. Ahamed (Eds.), Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020 (pp. 196-200). Article 9202815 (Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPSAC48688.2020.00287

So, Joseph C.H. ; Tung, Ho Wai ; Chan, Ada et al. / Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment. Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020. editor / W. K. Chan ; Bill Claycomb ; Hiroki Takakura ; Ji-Jiang Yang ; Yuuichi Teranishi ; Dave Towey ; Sergio Segura ; Hossain Shahriar ; Sorel Reisman ; Sheikh Iqbal Ahamed. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 196-200 (Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020).

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title = "Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment",

abstract = "Smart Learning Environment (SLE) aims at promoting personalized education in various form with different settings fitting the learners' needs. Many works have done to realise the environment for academic studies. However, the development of the generic competencies is another key element of education. The engagement of students in the developmental activities of generic competencies (GDA) is a main concern of the organizers in tertiary education institutions, particularly the student affair offices. They want to have some predictors to reflect the participation of students with some identifiable factors so that the provision can planned correspondingly. In this work, we attempted to the evaluation on a set of attributes of students to their participation on the GDA by means of the correlation and the classification through logical regression. We studied the records of 1649 graduates in a tertiary education institution across two academic years and found that some single factors are reliable in predicting the tendency of students in taking part in the GDA.",

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author = "So, {Joseph C.H.} and Tung, {Ho Wai} and Ada Chan and Simon Wong and Adam Wong and Henry Chan",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 ; Conference date: 13-07-2020 Through 17-07-2020",

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language = "English",

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editor = "Chan, {W. K.} and Bill Claycomb and Hiroki Takakura and Ji-Jiang Yang and Yuuichi Teranishi and Dave Towey and Sergio Segura and Hossain Shahriar and Sorel Reisman and Ahamed, {Sheikh Iqbal}",

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So, JCH, Tung, HW, Chan, A, Wong, S, Wong, A & Chan, H 2020, Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment. in WK Chan, B Claycomb, H Takakura, J-J Yang, Y Teranishi, D Towey, S Segura, H Shahriar, S Reisman & SI Ahamed (eds), Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020., 9202815, Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 196-200, 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020, Virtual, Madrid, Spain, 13/07/20. https://doi.org/10.1109/COMPSAC48688.2020.00287

Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment. / So, Joseph C.H.; Tung, Ho Wai; Chan, Ada et al.
Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020. ed. / W. K. Chan; Bill Claycomb; Hiroki Takakura; Ji-Jiang Yang; Yuuichi Teranishi; Dave Towey; Sergio Segura; Hossain Shahriar; Sorel Reisman; Sheikh Iqbal Ahamed. Institute of Electrical and Electronics Engineers Inc., 2020. p. 196-200 9202815 (Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Chan, Ada

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AU - Chan, Henry

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AB - Smart Learning Environment (SLE) aims at promoting personalized education in various form with different settings fitting the learners' needs. Many works have done to realise the environment for academic studies. However, the development of the generic competencies is another key element of education. The engagement of students in the developmental activities of generic competencies (GDA) is a main concern of the organizers in tertiary education institutions, particularly the student affair offices. They want to have some predictors to reflect the participation of students with some identifiable factors so that the provision can planned correspondingly. In this work, we attempted to the evaluation on a set of attributes of students to their participation on the GDA by means of the correlation and the classification through logical regression. We studied the records of 1649 graduates in a tertiary education institution across two academic years and found that some single factors are reliable in predicting the tendency of students in taking part in the GDA.

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KW - sub-degree-education

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BT - Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020

A2 - Chan, W. K.

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So JCH, Tung HW, Chan A, Wong S, Wong A, Chan H. Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment. In Chan WK, Claycomb B, Takakura H, Yang JJ, Teranishi Y, Towey D, Segura S, Shahriar H, Reisman S, Ahamed SI, editors, Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 196-200. 9202815. (Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020). doi: 10.1109/COMPSAC48688.2020.00287

Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment

Abstract

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Keywords

ASJC Scopus subject areas

More information

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