The effect of ICT on schools’ efficiency: Empirical evidence on 23 European countries

Mergoni, Anna; Soncin, Mara; Agasisti, Tommaso

doi:10.1016/j.omega.2023.102891

Cited by 6 publications

(2 citation statements)

References 86 publications

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“…In another, the relationship between ICT adoption and school efficiency is examined using 2018 PISA data from 5,400 schools. The analysis reveals low ICT efficiency in schools, mainly attributed to their ability to convert ICT-mediated instructional time into effective learning experiences, highlighting challenges in transitioning to digital learning environments [42].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Liao,

Hao,

Yasmeen

et al. 2024

PLoS ONE

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Educational resource utilization efficiency (ERUE) and productivity growth are considered current global challenges that the modern world faces. This study evaluates the educational resource utilization efficiency, dynamic productivity change, and regional discrepancies in technologies involved in educational resource utilization in 35 European countries and four regions. DEA Super SBM, Meta frontier analysis, and Malmquist productivity index are employed to gauge the ERUE, technology gap ratio (TGR), and total factor education resources productivity change. A set of inputs and outputs is used from 35 European countries for the study period of 1998–2021. Results revealed that the average ERUE in European countries is 0.6312, Which indicates a 36.88% improvement potential in educational resource utilization. Southern Europe continuously exhibits superior average ERUE scores (0.6871) compared to other regions, indicating a higher efficiency in using educational resources. Luxembourg (1.0813), Czechia (0.9356), and Slovenia (0.8984) are found to be the top three performers in terms of ERUE level. The technology gap ratio value is highest in Southern Europe. It demonstrates that southern European countries used the most advanced technology in education resource utilization. The average Malmquist Index (MI) in European countries is 1.0349. It Indicates a 3.49% growth in educational resource utilization. Technology is the primary determinant of productivity growth, as Technological change is higher than efficiency change. Southern European countries showed the highest MI of 1.0542. Italy, Lithuania, and Serbia were found to have higher average MI scores over the study period (1998–2021). Finally, the Kruskal Wallis test proved that ERUE and TGR in 4 different regions of Europe are heterogeneous. In contrast, the MI in European regions isn’t found to be significantly different.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Liao,

Hao,

Yasmeen

et al. 2024

PLoS ONE

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“…In the literature, analogous investigations have been conducted that have worked with clusters concerning the study approach that different kinds of students have been exposed to [21]. Other relevant studies have also been carried out in the school [22], showing interesting figures that will be helpful in shaping and promoting further analyses on the interlacing paths between forms of higher education (academia).…”

Section: Cluster Characterizationmentioning

confidence: 99%

Artificial Intelligence Bringing Improvements to Adaptive Learning in Education: A Case Study

Demartini,

Sciascia,

Bosso

et al. 2024

Sustainability

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Despite promising outcomes in higher education, the widespread adoption of learning analytics remains elusive in various educational settings, with primary and secondary schools displaying considerable reluctance to embrace these tools. This hesitancy poses a significant obstacle, particularly given the prevalence of educational technology and the abundance of data generated in these environments. In contrast to higher education institutions that readily integrate learning analytics tools into their educational governance, high schools often harbor skepticism regarding the tools’ impact and returns. To overcome these challenges, this work aims to harness learning analytics to address critical areas, such as school dropout rates, the need to foster student collaboration, improving argumentation and writing skills, and the need to enhance computational thinking across all age groups. The goal is to empower teachers and decision makers with learning analytics tools that will equip them to identify learners in vulnerable or exceptional situations, enabling educational authorities to take suitable actions that are aligned with students’ needs; this could potentially involve adapting learning processes and organizational structures to meet the needs of students. This work also seeks to evaluate the impact of such analytics tools on education within a multi-dimensional and scalable domain, ranging from individual learners to teachers and principals, and extending to broader governing bodies. The primary objective is articulated through the development of a user-friendly AI-based dashboard for learning. This prototype aims to provide robust support for teachers and principals who are dedicated to enhancing the education they provide within the intricate and multifaceted social domain of the school.

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Digital technology and information and communication technology on the carbon footprint

Rahnamay Bonab,

Haseli,

Jafarzadeh Ghoushchi

2024

Decision Support Systems for Sustainable Computing

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The effect of ICT on schools’ efficiency: Empirical evidence on 23 European countries

Cited by 6 publications

References 86 publications

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Artificial Intelligence Bringing Improvements to Adaptive Learning in Education: A Case Study

Digital technology and information and communication technology on the carbon footprint

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