An evaluation framework for extreme learning process (XLP)

Wei Tek Tsai; Kubatbek Alimbekov; Benjamin Hsueh Yung Koo

doi:10.1109/SOSE.2015.49

An evaluation framework for extreme learning process (XLP)

Wei Tek Tsai
, Kubatbek Alimbekov
, Benjamin Hsueh Yung Koo

School of Computer Science and Engineering

Arizona State University
Tsinghua University

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

Abstract

This paper presents an evaluation framework for Extreme Learning Process (XLP), a crowd-learning process that utilizes version control tools, blog entries, and virtual currencies to digitally track and motivate participant learning. This evaluation framework assesses motivation, knowledge, creativity, and collaboration of XLP participants based on process data generated during a typical XLPbased learning activity. This paper applied this framework to assess an XLP session done at Tsinghua University. The results showed that participants who are more involved in digital publishing are more reputable and productive among fellow participants.

Original language	English
Title of host publication	Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	357-366
Number of pages	10
ISBN (Electronic)	9781479983551
DOIs	https://doi.org/10.1109/SOSE.2015.49
State	Published - 24 Jun 2015
Event	9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015 - San Francisco, United States Duration: 30 Mar 2015 → 3 Apr 2015

Publication series

Name	Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
Volume	30

Conference

Conference	9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015
Country/Territory	United States
City	San Francisco
Period	30/03/15 → 3/04/15

Access to Document

10.1109/SOSE.2015.49

Cite this

Tsai, W. T., Alimbekov, K., & Koo, B. H. Y. (2015). An evaluation framework for extreme learning process (XLP). In Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015 (pp. 357-366). Article 7133553 (Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015; Vol. 30). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOSE.2015.49

Tsai, Wei Tek ; Alimbekov, Kubatbek ; Koo, Benjamin Hsueh Yung. / An evaluation framework for extreme learning process (XLP). Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 357-366 (Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015).

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title = "An evaluation framework for extreme learning process (XLP)",

abstract = "This paper presents an evaluation framework for Extreme Learning Process (XLP), a crowd-learning process that utilizes version control tools, blog entries, and virtual currencies to digitally track and motivate participant learning. This evaluation framework assesses motivation, knowledge, creativity, and collaboration of XLP participants based on process data generated during a typical XLPbased learning activity. This paper applied this framework to assess an XLP session done at Tsinghua University. The results showed that participants who are more involved in digital publishing are more reputable and productive among fellow participants.",

author = "Tsai, \{Wei Tek\} and Kubatbek Alimbekov and Koo, \{Benjamin Hsueh Yung\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015 ; Conference date: 30-03-2015 Through 03-04-2015",

year = "2015",

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doi = "10.1109/SOSE.2015.49",

language = "英语",

series = "Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015",

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Tsai, WT, Alimbekov, K & Koo, BHY 2015, An evaluation framework for extreme learning process (XLP). in Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015., 7133553, Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015, vol. 30, Institute of Electrical and Electronics Engineers Inc., pp. 357-366, 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015, San Francisco, United States, 30/03/15. https://doi.org/10.1109/SOSE.2015.49

An evaluation framework for extreme learning process (XLP). / Tsai, Wei Tek; Alimbekov, Kubatbek; Koo, Benjamin Hsueh Yung.
Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 357-366 7133553 (Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015; Vol. 30).

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

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AB - This paper presents an evaluation framework for Extreme Learning Process (XLP), a crowd-learning process that utilizes version control tools, blog entries, and virtual currencies to digitally track and motivate participant learning. This evaluation framework assesses motivation, knowledge, creativity, and collaboration of XLP participants based on process data generated during a typical XLPbased learning activity. This paper applied this framework to assess an XLP session done at Tsinghua University. The results showed that participants who are more involved in digital publishing are more reputable and productive among fellow participants.

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Tsai WT, Alimbekov K, Koo BHY. An evaluation framework for extreme learning process (XLP). In Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 357-366. 7133553. (Proceedings - 9th IEEE International Symposium on Service-Oriented System Engineering, IEEE SOSE 2015). doi: 10.1109/SOSE.2015.49

An evaluation framework for extreme learning process (XLP)

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