Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations

Samantha Garcia; Elaine Marques; Rafael Ferreira Mello; Dragan Gaševic; Rodrigo Lins Rodrigues; Taciana Pontual Falcão

Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations

Samantha Garcia, Elaine Marques, Rafael Ferreira Mello, Dragan Gaševic, Rodrigo Lins Rodrigues, Taciana Pontual Falcão

Department of Data Science & AI

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

Abstract

Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instruments for diagnosis of HEIs for LA adoption, including stakeholders' views. In this paper, we present the results of the application of SHEILA's surveys to identify the highest and lowest expectations about LA adoption, in the views of students and instructors, and compare their ideal and realistic expectations. Results confirmed the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region. c 2021

Original language	English
Title of host publication	IV Conferencia Latinoamericana de Analíticas de aprendizaje
Subtitle of host publication	Proceedings
Editors	Klinge Orlando Villalba-Condori
Place of Publication	San Jose Peru
Publisher	Universidad Catolica de Santa Maria
Pages	8-17
Number of pages	10
Volume	3059
Publication status	Published - 2021
Event	Latin American Conference on Learning Analytics, LALA 2021 - Arequipa, Peru Duration: 19 Oct 2021 → 21 Oct 2021 Conference number: 4th http://ceur-ws.org/Vol-3059/

Conference

Conference	Latin American Conference on Learning Analytics, LALA 2021
Abbreviated title	LALA 2021
Country/Territory	Peru
City	Arequipa
Period	19/10/21 → 21/10/21
Internet address	http://ceur-ws.org/Vol-3059/

Keywords

Higher education
Instructor expectations
Learning analytics
Student expectations

Access to Document

369093767-oaFinal published version, 719 KBLicence: CC BY

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Garcia, S., Marques, E., Mello, R. F., Gaševic, D., Rodrigues, R. L., & Falcão, T. P. (2021). Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations. In K. Orlando Villalba-Condori (Ed.), IV Conferencia Latinoamericana de Analíticas de aprendizaje: Proceedings (Vol. 3059, pp. 8-17). Universidad Catolica de Santa Maria.

Garcia, Samantha ; Marques, Elaine ; Mello, Rafael Ferreira et al. / Adopting Learning Analytics in a Brazilian higher education institution : ideal and predicted expectations. IV Conferencia Latinoamericana de Analíticas de aprendizaje: Proceedings. editor / Klinge Orlando Villalba-Condori. Vol. 3059 San Jose Peru : Universidad Catolica de Santa Maria, 2021. pp. 8-17

@inproceedings{1676d1c17a4745c3b2018c15e9accb97,

title = "Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations",

abstract = "Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instruments for diagnosis of HEIs for LA adoption, including stakeholders' views. In this paper, we present the results of the application of SHEILA's surveys to identify the highest and lowest expectations about LA adoption, in the views of students and instructors, and compare their ideal and realistic expectations. Results confirmed the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region. c 2021 ",

keywords = "Higher education, Instructor expectations, Learning analytics, Student expectations",

author = "Samantha Garcia and Elaine Marques and Mello, {Rafael Ferreira} and Dragan Ga{\v s}evic and Rodrigues, {Rodrigo Lins} and Falc{\~a}o, {Taciana Pontual}",

note = "Publisher Copyright: Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; Latin American Conference on Learning Analytics, LALA 2021, LALA 2021 ; Conference date: 19-10-2021 Through 21-10-2021",

year = "2021",

language = "English",

volume = "3059",

pages = "8--17",

editor = "{Orlando Villalba-Condori}, Klinge",

booktitle = "IV Conferencia Latinoamericana de Anal{\'i}ticas de aprendizaje",

publisher = "Universidad Catolica de Santa Maria",

url = "http://ceur-ws.org/Vol-3059/",

}

Garcia, S, Marques, E, Mello, RF, Gaševic, D, Rodrigues, RL & Falcão, TP 2021, Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations. in K Orlando Villalba-Condori (ed.), IV Conferencia Latinoamericana de Analíticas de aprendizaje: Proceedings. vol. 3059, Universidad Catolica de Santa Maria, San Jose Peru, pp. 8-17, Latin American Conference on Learning Analytics, LALA 2021, Arequipa, Peru, 19/10/21.

Adopting Learning Analytics in a Brazilian higher education institution : ideal and predicted expectations. / Garcia, Samantha; Marques, Elaine; Mello, Rafael Ferreira et al.

IV Conferencia Latinoamericana de Analíticas de aprendizaje: Proceedings. ed. / Klinge Orlando Villalba-Condori. Vol. 3059 San Jose Peru : Universidad Catolica de Santa Maria, 2021. p. 8-17.

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

TY - GEN

T1 - Adopting Learning Analytics in a Brazilian higher education institution

T2 - Latin American Conference on Learning Analytics, LALA 2021

AU - Garcia, Samantha

AU - Marques, Elaine

AU - Mello, Rafael Ferreira

AU - Gaševic, Dragan

AU - Rodrigues, Rodrigo Lins

AU - Falcão, Taciana Pontual

N1 - Conference code: 4th

PY - 2021

Y1 - 2021

N2 - Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instruments for diagnosis of HEIs for LA adoption, including stakeholders' views. In this paper, we present the results of the application of SHEILA's surveys to identify the highest and lowest expectations about LA adoption, in the views of students and instructors, and compare their ideal and realistic expectations. Results confirmed the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region. c 2021

AB - Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instruments for diagnosis of HEIs for LA adoption, including stakeholders' views. In this paper, we present the results of the application of SHEILA's surveys to identify the highest and lowest expectations about LA adoption, in the views of students and instructors, and compare their ideal and realistic expectations. Results confirmed the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region. c 2021

KW - Higher education

KW - Instructor expectations

KW - Learning analytics

KW - Student expectations

UR - http://www.scopus.com/inward/record.url?scp=85122657252&partnerID=8YFLogxK

UR - http://ceur-ws.org/Vol-3059/paper1.pdf

M3 - Conference Paper

AN - SCOPUS:85122657252

VL - 3059

SP - 8

EP - 17

BT - IV Conferencia Latinoamericana de Analíticas de aprendizaje

A2 - Orlando Villalba-Condori, Klinge

PB - Universidad Catolica de Santa Maria

CY - San Jose Peru

Y2 - 19 October 2021 through 21 October 2021

ER -

Adopting Learning Analytics in a Brazilian higher education institution: ideal and predicted expectations

Abstract

Conference

Keywords

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