The connected learning analytics toolkit

Kirsty Kitto; Aneesha Bakharia; Mandy Lupton; Dann Mallet; John Banks; Peter Bruza; Abelardo Pardo; Simon Buckingham Shum; Shane Dawson; Dragan Gaševíc; George Siemens; Grace Lynch

doi:10.1145/2883851.2883881

The connected learning analytics toolkit

Kirsty Kitto, Aneesha Bakharia, Mandy Lupton, Dann Mallet, John Banks, Peter Bruza, Abelardo Pardo, Simon Buckingham Shum, Shane Dawson, Dragan Gaševíc, George Siemens, Grace Lynch

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

5 Citations (Scopus)

Abstract

This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.

Original language	English
Title of host publication	LAK '16 Conference Proceedings
Subtitle of host publication	The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation
Editors	Shane Dawson, Hendrik Drachsler, Carolyn Penstein Rosé
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	548-549
Number of pages	2
ISBN (Electronic)	9781450341905
DOIs	https://doi.org/10.1145/2883851.2883881
Publication status	Published - 2016
Externally published	Yes
Event	International Learning Analytics & Knowledge Conference 2016 - University of Edinburgh, Edinburgh, United Kingdom Duration: 25 Apr 2016 → 29 Apr 2016 Conference number: 6th http://lak16.solaresearch.org/

Conference

Conference	International Learning Analytics & Knowledge Conference 2016
Abbreviated title	LAK 2016
Country	United Kingdom
City	Edinburgh
Period	25/04/16 → 29/04/16
Internet address	http://lak16.solaresearch.org/

Keywords

Dashboards
Sensemaking
Social learning analytics

Access to Document

10.1145/2883851.2883881

Link to publication in Scopus

Cite this

Kitto, K., Bakharia, A., Lupton, M., Mallet, D., Banks, J., Bruza, P., Pardo, A., Buckingham Shum, S., Dawson, S., Gaševíc, D., Siemens, G., & Lynch, G. (2016). The connected learning analytics toolkit. In S. Dawson, H. Drachsler, & C. P. Rosé (Eds.), LAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation (pp. 548-549). Association for Computing Machinery (ACM). https://doi.org/10.1145/2883851.2883881

Kitto, Kirsty ; Bakharia, Aneesha ; Lupton, Mandy ; Mallet, Dann ; Banks, John ; Bruza, Peter ; Pardo, Abelardo ; Buckingham Shum, Simon ; Dawson, Shane ; Gaševíc, Dragan ; Siemens, George ; Lynch, Grace. / The connected learning analytics toolkit. LAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation. editor / Shane Dawson ; Hendrik Drachsler ; Carolyn Penstein Rosé. New York NY USA : Association for Computing Machinery (ACM), 2016. pp. 548-549

@inproceedings{cd038ab57bac4ef8bb353e707edd7f2e,

title = "The connected learning analytics toolkit",

abstract = "This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.",

keywords = "Dashboards, Sensemaking, Social learning analytics",

author = "Kirsty Kitto and Aneesha Bakharia and Mandy Lupton and Dann Mallet and John Banks and Peter Bruza and Abelardo Pardo and {Buckingham Shum}, Simon and Shane Dawson and Dragan Ga{\v s}ev{\'i}c and George Siemens and Grace Lynch",

year = "2016",

doi = "10.1145/2883851.2883881",

language = "English",

pages = "548--549",

editor = "Shane Dawson and Hendrik Drachsler and Ros{\'e}, {Carolyn Penstein}",

booktitle = "LAK '16 Conference Proceedings",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Learning Analytics & Knowledge Conference 2016, LAK 2016 ; Conference date: 25-04-2016 Through 29-04-2016",

url = "http://lak16.solaresearch.org/",

}

Kitto, K, Bakharia, A, Lupton, M, Mallet, D, Banks, J, Bruza, P, Pardo, A, Buckingham Shum, S, Dawson, S, Gaševíc, D, Siemens, G & Lynch, G 2016, The connected learning analytics toolkit. in S Dawson, H Drachsler & CP Rosé (eds), LAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation. Association for Computing Machinery (ACM), New York NY USA, pp. 548-549, International Learning Analytics & Knowledge Conference 2016, Edinburgh, United Kingdom, 25/04/16. https://doi.org/10.1145/2883851.2883881

The connected learning analytics toolkit. / Kitto, Kirsty; Bakharia, Aneesha; Lupton, Mandy; Mallet, Dann; Banks, John; Bruza, Peter; Pardo, Abelardo; Buckingham Shum, Simon; Dawson, Shane; Gaševíc, Dragan; Siemens, George; Lynch, Grace.

LAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation. ed. / Shane Dawson; Hendrik Drachsler; Carolyn Penstein Rosé. New York NY USA : Association for Computing Machinery (ACM), 2016. p. 548-549.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AU - Bakharia, Aneesha

AU - Lupton, Mandy

AU - Mallet, Dann

AU - Banks, John

AU - Bruza, Peter

AU - Pardo, Abelardo

AU - Buckingham Shum, Simon

AU - Dawson, Shane

AU - Gaševíc, Dragan

AU - Siemens, George

AU - Lynch, Grace

N1 - Conference code: 6th

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Y1 - 2016

N2 - This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.

AB - This demonstration introduces the Connected Learning Analytics (CLA) Toolkit. The CLA toolkit harvests data about student participation in specified learning activities across standard social media environments, and presents information about the nature and quality of the learning interactions.

KW - Dashboards

KW - Sensemaking

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DO - 10.1145/2883851.2883881

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BT - LAK '16 Conference Proceedings

A2 - Dawson, Shane

A2 - Drachsler, Hendrik

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PB - Association for Computing Machinery (ACM)

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Kitto K, Bakharia A, Lupton M, Mallet D, Banks J, Bruza P et al. The connected learning analytics toolkit. In Dawson S, Drachsler H, Rosé CP, editors, LAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference: Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation. New York NY USA: Association for Computing Machinery (ACM). 2016. p. 548-549 https://doi.org/10.1145/2883851.2883881