S.O.A.R.ing into Learning Analytics: Are we Prepared for the Leap?

In recent years, education has experienced a shift in how schools understand learners, teachers and systems through the vast availability of educational data. The information that can be extracted from the data is valuable in reflecting a student’s growth in a holistic manner i.e. academic achievements, inclinations and soft skills. Within the School-Based Assessment (SBA) currently in practice in Malaysia, large amounts of information are generated daily, yet teachers’ readiness to interpret and use data for decision-making remains uncertain. Therefore, this concept paper aims to explore teachers’ readiness for Learning Analytics (LA) in Data-Driven Decision Making (DDDM) in the Malaysian education environment. The methodology used for this concept paper is a thorough analysis of LA through the S.O.A.R. model that measures five elements which are Strengths (S), Opportunities (O), Aspirations (A) and Results (R). The major findings show that the S.O.A.R. model effectively demonstrates LA’s potential by recognizing the strengths and opportunities that already exist in the Malaysian education context, while also outlining possible aspirations and measures of results that can be applied. By examining how the Malaysian education community (i.e. ministry, school and teachers) can leverage their existing capacities, expand future opportunities and aspire toward data-informed professionalism, the S.O.A.R. approach provides a strategic planning lens to understand how Malaysian educators can move from data collection to meaningful application. Findings from this conceptual discussion also highlight the importance of professional development, equitable digital infrastructure and a supportive data culture in realizing Malaysia’s vision of an evidence-based education system aligned with the Sustainable Development Goals (SDG 4). Further research is needed to assess educators’, school leaders’ and ministerial authorities’ readiness to apply LA in DDDM in the Malaysian education context.

Authors

Institutions

Publication Details

Journal
International Journal of Academic Research in Progressive Education and Development
Published
2025-12-01
DOI
https://doi.org/10.6007/ijarped/v14-i4/26953
Primary Topic
Educational Assessment and Improvement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S.O.A.R.ing into Learning Analytics: Are we Prepared for the Leap?

Mohd Effendi Ewan Mohd Matore, Aimi Mahfuzah Mohd Kamalludeen
International Journal of Academic Research in Progressive Education and Development
Educational Assessment and Improvement
article

S.O.A.R.ing into Learning Analytics: Are we Prepared for the Leap?

Mohd Effendi Ewan Mohd Matore, Aimi Mahfuzah Mohd Kamalludeen
article en

Abstract

In recent years, education has experienced a shift in how schools understand learners, teachers and systems through the vast availability of educational data. The information that can be extracted from the data is valuable in reflecting a student’s growth in a holistic manner i.e. academic achievements, inclinations and soft skills. Within the School-Based Assessment (SBA) currently in practice in Malaysia, large amounts of information are generated daily, yet teachers’ readiness to interpret and use data for decision-making remains uncertain. Therefore, this concept paper aims to explore teachers’ readiness for Learning Analytics (LA) in Data-Driven Decision Making (DDDM) in the Malaysian education environment. The methodology used for this concept paper is a thorough analysis of LA through the S.O.A.R. model that measures five elements which are Strengths (S), Opportunities (O), Aspirations (A) and Results (R). The major findings show that the S.O.A.R. model effectively demonstrates LA’s potential by recognizing the strengths and opportunities that already exist in the Malaysian education context, while also outlining possible aspirations and measures of results that can be applied. By examining how the Malaysian education community (i.e. ministry, school and teachers) can leverage their existing capacities, expand future opportunities and aspire toward data-informed professionalism, the S.O.A.R. approach provides a strategic planning lens to understand how Malaysian educators can move from data collection to meaningful application. Findings from this conceptual discussion also highlight the importance of professional development, equitable digital infrastructure and a supportive data culture in realizing Malaysia’s vision of an evidence-based education system aligned with the Sustainable Development Goals (SDG 4). Further research is needed to assess educators’, school leaders’ and ministerial authorities’ readiness to apply LA in DDDM in the Malaysian education context.

International Journal of Academic Research in Progressive Education and DevelopmentVol. 14(4)
Victoria University of Wellington (NZ), Tun Hussein Onn University of Malaysia (MY)
Openalex Percentile: Top 65%
Educational Assessment and Improvement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.