Sustainable Competitive Advantage of Big Data Analytics in Higher Education Sector: An Overview

Muhammad, R. N.; Tasmin, Rosmaini; Aziati, A. H. Nor

doi:10.1088/1742-6596/1529/4/042100

Cited by 20 publications

(18 citation statements)

References 19 publications

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“…The development of big data in educational contexts has led to new data-driven techniques to assist informed decision making and initiatives to improve educational efficacy (Fischer et al, 2020). Big data is also recognized as a game-changer, capable of changing the way firms function in various organizations for long-term competitive advantage (Muhammad et al, 2020). Big data is used in a variety of sectors; in this paper, we look at how big data is used in education (Khan & Alqahtani, 2020).…”

Section: Sustainability As a Purpose Of Educationmentioning

confidence: 99%

Adaptation of Big Data: an empirical investigation for sustainability of education

Alismaiel¹

2021

JESI

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The current study aims at developing a framework to assess big data use for education and encompassing the theoretical background of knowledge sharing and diffusion of innovations in the educational environment. This study hypothesizes that age and cultural diversity, and motivators can influence knowledge sharing, whereas the constructs of relative advantage, trialability, complexity, observability would impact innovations. Thus, innovations influence knowledge sharing and would be positively associated with behavioural intention to use big data and sustainability for education. This study utilized a version of knowledge sharing model and Diffusion of Innovations (DOI) theory as the study framework and implemented quantitative approach for data analysis by collecting 494 responses from university students who were elected using stratified random sampling technique. The data were processed using eleven factors to unveil and understand the predictors of big data use for education sustainability. The study adopts the quantitative approach and employs structure equation modelling (SEM) to data analysis. According to the study's findings, age and cultural diversity and motivators significantly determine knowledge management sharing, while relative advantage, trialability, complexity, and observability have a positive impact on innovations. The adoption of innovations, knowledge sharing, and big data are able to capture 78.9% of sustainability phenomenon on education. Further, the study concludes by reporting findings and implications for research and practitioners.

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Section: Sustainability As a Purpose Of Educationmentioning

confidence: 99%

Adaptation of Big Data: an empirical investigation for sustainability of education

Alismaiel¹

2021

JESI

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Section: Introductionmentioning

confidence: 99%

“…BDA is defined as the processing of a large amount of data using mathematical and statistical techniques that allow organizations to discover patterns, identify anomalies, and generate valuable knowledge [15]. BDA is applied in different sectors, including that of education [16]; higher education institutions (HEIs) can collect a large amount of information during the teaching process [16] and use BDA to address the challenges of increasing global competition [15,17]. Under the global context of accelerated change, BDA can provide HEIs with a competitive advantage and a source of open innovation when they manage to gather information from online learning experiences and other sources such as social networks.…”

Section: Introductionmentioning

confidence: 99%

“…BDA allows them to model individual students' learning behaviors as well as those of the market [18]. In this way, BDA could enable academic and learning analytics to improve the quality of education or optimize the curriculum, or to identify students with a high probability of dropping out of a course before its completion and take personalized counseling actions [19][20][21], among other benefits of data-driven decision making [14][15][16][17]. In addition to BDA, KM processes become paramount when the goal of an organization is to react skillfully and strategically [22], but this requires generating dynamic capabilities.…”

Section: Introductionmentioning

confidence: 99%

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Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management

Sekli

Vega

2021

Journal of Open Innovation: Technology, Market, and Complexity

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Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining valuable knowledge. The purpose of this paper is to investigate the factors that influence the adoption of big data analytics and evaluate the relationship it has with performance and knowledge management, taking into consideration that this technology is in its initial stages and that previous research has provided varied results depending on the sector in focus. To address these challenges, a theoretical framework is developed to empirically test the relationship of these variables; 265 members of universities in Latin America were surveyed, and structural equation modeling is used. The findings identify compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics, and their positive relationship is tested with knowledge management processes and organizational performance. This study provides practical guidance for decision-makers involved in or in charge of defining the implementation strategy of big data analytics in higher education institutions.

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“…The current pandemic responses have shifted education delivery to online modes, further accelerating ongoing disruptions. The education sector is already facing financial and competitive pressures (Muhammad et al, 2020) in some regions, and this global shift to online learning has amplified them even more. These shifts have altered…”

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confidence: 99%

Learning analytics dashboard: a tool for providing actionable insights to learners

Sušnjak

Ramaswami

Mathrani

2022

Int J Educ Technol High Educ

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This study investigates current approaches to learning analytics (LA) dashboarding while highlighting challenges faced by education providers in their operationalization. We analyze recent dashboards for their ability to provide actionable insights which promote informed responses by learners in making adjustments to their learning habits. Our study finds that most LA dashboards merely employ surface-level descriptive analytics, while only few go beyond and use predictive analytics. In response to the identified gaps in recently published dashboards, we propose a state-of-the-art dashboard that not only leverages descriptive analytics components, but also integrates machine learning in a way that enables both predictive and prescriptive analytics. We demonstrate how emerging analytics tools can be used in order to enable learners to adequately interpret the predictive model behavior, and more specifically to understand how a predictive model arrives at a given prediction. We highlight how these capabilities build trust and satisfy emerging regulatory requirements surrounding predictive analytics. Additionally, we show how data-driven prescriptive analytics can be deployed within dashboards in order to provide concrete advice to the learners, and thereby increase the likelihood of triggering behavioral changes. Our proposed dashboard is the first of its kind in terms of breadth of analytics that it integrates, and is currently deployed for trials at a higher education institution.

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Sustainable Competitive Advantage of Big Data Analytics in Higher Education Sector: An Overview

Cited by 20 publications

References 19 publications

Adaptation of Big Data: an empirical investigation for sustainability of education

Adaptation of Big Data: an empirical investigation for sustainability of education

Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management

Learning analytics dashboard: a tool for providing actionable insights to learners

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