Developing a learning analytics resource with meaningful data for first year teachers

Noelia Roman; Kelly Linden; Sarah Teakel; Neil van der Ploeg; Ben Hicks

doi:10.14742/apubs.2022.204

Developing a learning analytics resource with meaningful data for first year teachers

Noelia Roman, Kelly Linden, Sarah Teakel, Neil van der Ploeg, Ben Hicks

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Abstract

It is known that due to the large, diverse sets of data captured in learning analytics, clear display of information is crucial to its success. Here, we describe a concise learning analytics resource, the Cohort Snapshot, that has been developed using a human centred approach, with input from experienced academics from across the institution. Meaningful data is presented as a unit level summary and includes program enrolment, student demographics, grade distributions and LMS activity. The data that was used to develop the resource was accessed via the university’s data warehouse which was synthesised using the R programming language. The Cohort Snapshot provides teaching academics, including sessional staff, access to data, to allow the adaption of teaching pedagogy to meet the needs of increasingly diverse student cohorts in a regional Australian university.

Original language	English
Title of host publication	Reconnecting relationships through technology
Subtitle of host publication	Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022
Editors	Stephanie Wilson, Natasha Arthars, Dewa Wardak, Pippa Yeoman, Eszter Kalman, Danny Y.T. Liu
Publisher	ASCILITE
Pages	394-399
Number of pages	6
DOIs	https://doi.org/10.14742/apubs.2022.204
Publication status	Published - 18 Nov 2022
Event	ASCILITE 2022: 39TH International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education - University of Sydney, Sydney, Australia Duration: 04 Dec 2022 → 07 Dec 2022 https://www.2022conference.ascilite.org/ https://publications.ascilite.org/index.php/APUB/issue/view/2/5 (Proceedings) https://www.2022conference.ascilite.org/ascilite-2022-home/program/ (Program)

Conference

Conference	ASCILITE 2022
Abbreviated title	Reconnecting Relationships through Technology
Country/Territory	Australia
City	Sydney
Period	04/12/22 → 07/12/22
Other	The ASCILITE 2022 Conference is ASCILITE’S 39th International Conference on Innovation, Practice and Research in the use of Educational Technologies in Tertiary Education. This year’s conference was hosted by the University of Sydney from 4 to 7 December 2022, in-person and online. The conference took place at the University of Sydney, Australia’s oldest university, with excellent event spaces, restaurants, cafes and iconic architecture.
Internet address	https://www.2022conference.ascilite.org/ https://publications.ascilite.org/index.php/APUB/issue/view/2/5 (Proceedings) https://www.2022conference.ascilite.org/ascilite-2022-home/program/ (Program)

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310929048 Published paperFinal published version, 422 KBLicence: CC BY

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Roman, N., Linden, K., Teakel, S., van der Ploeg, N., & Hicks, B. (2022). Developing a learning analytics resource with meaningful data for first year teachers. In S. Wilson, N. Arthars, D. Wardak, P. Yeoman, E. Kalman, & D. Y.T. Liu (Eds.), Reconnecting relationships through technology: Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022 (pp. 394-399). Article E22204 ASCILITE. https://doi.org/10.14742/apubs.2022.204

Roman, Noelia ; Linden, Kelly ; Teakel, Sarah et al. / Developing a learning analytics resource with meaningful data for first year teachers. Reconnecting relationships through technology: Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022. editor / Stephanie Wilson ; Natasha Arthars ; Dewa Wardak ; Pippa Yeoman ; Eszter Kalman ; Danny Y.T. Liu. ASCILITE, 2022. pp. 394-399

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title = "Developing a learning analytics resource with meaningful data for first year teachers",

abstract = "It is known that due to the large, diverse sets of data captured in learning analytics, clear display of information is crucial to its success. Here, we describe a concise learning analytics resource, the Cohort Snapshot, that has been developed using a human centred approach, with input from experienced academics from across the institution. Meaningful data is presented as a unit level summary and includes program enrolment, student demographics, grade distributions and LMS activity. The data that was used to develop the resource was accessed via the university{\textquoteright}s data warehouse which was synthesised using the R programming language. The Cohort Snapshot provides teaching academics, including sessional staff, access to data, to allow the adaption of teaching pedagogy to meet the needs of increasingly diverse student cohorts in a regional Australian university.",

keywords = "Learning analytics, First year experience, Student retention",

author = "Noelia Roman and Kelly Linden and Sarah Teakel and {van der Ploeg}, Neil and Ben Hicks",

note = "Includes bibliographical references.; ASCILITE 2022 : 39TH International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, Reconnecting Relationships through Technology ; Conference date: 04-12-2022 Through 07-12-2022",

year = "2022",

month = nov,

day = "18",

doi = "10.14742/apubs.2022.204",

language = "English",

pages = "394--399",

editor = "Stephanie Wilson and Natasha Arthars and Dewa Wardak and Pippa Yeoman and Eszter Kalman and {Y.T. Liu}, Danny",

booktitle = "Reconnecting relationships through technology",

publisher = "ASCILITE",

url = "https://www.2022conference.ascilite.org/, https://publications.ascilite.org/index.php/APUB/issue/view/2/5, https://www.2022conference.ascilite.org/ascilite-2022-home/program/",

}

Roman, N , Linden, K , Teakel, S , van der Ploeg, N & Hicks, B 2022, Developing a learning analytics resource with meaningful data for first year teachers. in S Wilson, N Arthars, D Wardak, P Yeoman, E Kalman & D Y.T. Liu (eds), Reconnecting relationships through technology: Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022., E22204, ASCILITE, pp. 394-399, ASCILITE 2022, Sydney, New South Wales, Australia, 04/12/22. https://doi.org/10.14742/apubs.2022.204

Developing a learning analytics resource with meaningful data for first year teachers. / Roman, Noelia ; Linden, Kelly ; Teakel, Sarah et al.
Reconnecting relationships through technology: Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022. ed. / Stephanie Wilson; Natasha Arthars; Dewa Wardak; Pippa Yeoman; Eszter Kalman; Danny Y.T. Liu. ASCILITE, 2022. p. 394-399 E22204.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - Developing a learning analytics resource with meaningful data for first year teachers

AU - Roman, Noelia

AU - Linden, Kelly

AU - Teakel, Sarah

AU - van der Ploeg, Neil

AU - Hicks, Ben

N1 - Includes bibliographical references.

PY - 2022/11/18

Y1 - 2022/11/18

N2 - It is known that due to the large, diverse sets of data captured in learning analytics, clear display of information is crucial to its success. Here, we describe a concise learning analytics resource, the Cohort Snapshot, that has been developed using a human centred approach, with input from experienced academics from across the institution. Meaningful data is presented as a unit level summary and includes program enrolment, student demographics, grade distributions and LMS activity. The data that was used to develop the resource was accessed via the university’s data warehouse which was synthesised using the R programming language. The Cohort Snapshot provides teaching academics, including sessional staff, access to data, to allow the adaption of teaching pedagogy to meet the needs of increasingly diverse student cohorts in a regional Australian university.

AB - It is known that due to the large, diverse sets of data captured in learning analytics, clear display of information is crucial to its success. Here, we describe a concise learning analytics resource, the Cohort Snapshot, that has been developed using a human centred approach, with input from experienced academics from across the institution. Meaningful data is presented as a unit level summary and includes program enrolment, student demographics, grade distributions and LMS activity. The data that was used to develop the resource was accessed via the university’s data warehouse which was synthesised using the R programming language. The Cohort Snapshot provides teaching academics, including sessional staff, access to data, to allow the adaption of teaching pedagogy to meet the needs of increasingly diverse student cohorts in a regional Australian university.

KW - Learning analytics

KW - First year experience

KW - Student retention

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DO - 10.14742/apubs.2022.204

M3 - Conference paper

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BT - Reconnecting relationships through technology

A2 - Wilson, Stephanie

A2 - Arthars, Natasha

A2 - Wardak, Dewa

A2 - Yeoman, Pippa

A2 - Kalman, Eszter

A2 - Y.T. Liu, Danny

PB - ASCILITE

T2 - ASCILITE 2022

Y2 - 4 December 2022 through 7 December 2022

ER -

Roman N , Linden K , Teakel S , van der Ploeg N, Hicks B. Developing a learning analytics resource with meaningful data for first year teachers. In Wilson S, Arthars N, Wardak D, Yeoman P, Kalman E, Y.T. Liu D, editors, Reconnecting relationships through technology: Proceedings of the 39th international conference on innovation, practice and research in the use of educational technologies in tertiary education, ASCILITE 2022. ASCILITE. 2022. p. 394-399. E22204 doi: 10.14742/apubs.2022.204

Developing a learning analytics resource with meaningful data for first year teachers

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