Digital equity and inclusion in education

OECD education working papers, Год журнала: 2023, Номер unknown

Опубликована: Авг. 8, 2023

Digital technologies can be used to support the inclusion of diverse student groups in education a number ways including enhancing accessibility educational content, increasing personalisation and providing distance learning opportunities, as was case during COVID-19 pandemic. However, persistent digital inequalities undermine equity generally, particularly for most disadvantaged students. This paper explores themes inclusion, maps some policies practices adopted OECD countries equitable inclusive use tools education. It highlights importance design implementation technologies, well need systems focus on capacity building such teacher training, adequate resourcing tools. discusses advantages disadvantages different approaches, concludes by highlighting research policy gaps.

Язык: Английский

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Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes

Sustainability, Год журнала: 2023, Номер 15(13), С. 10723 - 10723

Опубликована: Июль 7, 2023

Within the framework of ongoing implementation 2030 Vision for Comprehensive Development Higher Education in Saudi Arabia, integration artificial intelligence (AI) has emerged as a pivotal objective country’s numerous higher education institutions. This study aims to examine opportunities and challenges that arise from adoption AI-based learning outcomes Arabia’s institutes. Moreover, research also investigates contribution major institutes Arabia field outcomes. To gather relevant literature, Scopus Web Science databases were utilised, resulting selection fifty-five studies final analysis. The employed PRISMA statement 2020 records filtration utilised VOS viewer software classify literature on Arabian universities. Through detailed analysis, three significant data streams identified examined. findings indicate AI is nascent stage within realm learning, it become an undeniable reality Embracing this transformative technology crucial meeting future challenges, imperative all students acquire necessary technical skills interact with create future. According findings, potential address educational revolutionise teaching methodologies, accelerate progress toward objectives. However, highlights certain associated context emphasising need teachers new technological effectively utilise pedagogically.

Язык: Английский

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How Do Teachers Use Dashboards Enhanced with Data Storytelling Elements According to their Data Visualisation Literacy Skills?

Опубликована: Фев. 21, 2023

There is a proliferation of learning analytics (LA) dashboards aimed at supporting teachers. Yet, teachers still find it challenging to make sense LA dashboards, thereby making informed decisions. Two main strategies address this are emerging: i) upskilling teachers' data literacy; ii) improving the explanatory design features current (e.g., adding visual cues or text) minimise skills required by effectively use dashboards. While each approach has its own trade-offs, no previous work explored interplay between dashboard and such "data skills". In paper, we explore how with varying visualisation literacy (VL) enhanced (explanatory) storytelling elements. We conducted quasi-experimental study 23 varied VL inspecting two versions an authentic multichannel used eye-tracking device while inspected students' captured from Zoom Google Docs, followed interviews. Results suggest that high adopted complex exploratory were more sensitive subtle inconsistencies in design; low benefited most explicit guidance as accompanying graphs narrative semantic colour encoding.

Язык: Английский

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Intelligent techniques in e-learning: a literature review

Artificial Intelligence Review, Год журнала: 2023, Номер 56(12), С. 14907 - 14953

Опубликована: Июнь 14, 2023

Abstract Online learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools campuses. Consequently, teachers students need to embrace digital tools platforms, bridge newly established physical gap between them, consume education various new ways. Although literature indicates that development of intelligent techniques must be incorporated e-learning systems make them more effective, exists for research on how these impact whole process online learning, they affect learners’ performance. This paper aims provide comprehensive innovations e-learning, present a review used explore their potential benefits. presents categorization techniques, explores roles environments. By summarizing state art area, authors outline past research, highlight its gaps, indicate important implications practice. The goal is understand better available implementation application context, improving education. Finally, concludes AI-supported solutions not only can support learner teacher, by recommending resources grading submissions, but offer fully personalized experience.

Язык: Английский

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Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools

Education and Information Technologies, Год журнала: 2023, Номер 28(11), С. 14453 - 14471

Опубликована: Апрель 11, 2023

Abstract Since schools increasingly use digital platforms that provide educational data in formats, teacher use, and literacy have become a focus of research. One main challenge is whether teachers for pedagogical purposes, such as informing their teaching. We conducted survey study with N = 1059 upper secondary Switzerland to investigate related factors the available technologies schools. Descriptive analysis responses indicated although more than half Swiss upper-secondary agreed having at disposal, only one-third showed clear tendency these technologies, one-quarter felt positively confident improving teaching this way. An in-depth multilevel modeling teachers’ could be predicted by differences between schools, positive beliefs towards (will), self-assessed (skill), access (tool) well general frequency using devices lessons students. Teacher characteristics, age experience, were minor predictors. These results show provision needs supplemented efforts strengthen

Язык: Английский

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Personalisation methods in e‐learning‐A literature review

Computer Applications in Engineering Education, Год журнала: 2022, Номер 30(6), С. 1931 - 1958

Опубликована: Сен. 19, 2022

Abstract Over the years, personalisation in e‐learning has evolved as a promising paradigm for matching learners' specific requirements. Although many literature reviews on personalised have been conducted, there are still voids and limitations comprehensive survey regarding how might occur environments benefit teaching learning process. In addition, no design guidelines, frameworks, or tools to guide its implementation exist, so practice can vary widely. The principal purpose of this review is examine subject, provide insights into use techniques systems e‐learning, investigate impact engagement success students. This study applies methods precise selection criteria determine which selected publications strongest interconnection relevance with topic personalisation. It also categorises employed by each identified system highlights new perspectives advances area.

Язык: Английский

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Learning analytics driven improvements in learning design in higher education: A systematic literature review

Journal of Computer Assisted Learning, Год журнала: 2023, Номер 40(2), С. 510 - 524

Опубликована: Окт. 23, 2023

Abstract Background Driven by the ongoing need to provide high‐quality learning and teaching, universities recently have shown an increased interest in using analytics (LA) for improving design (LD). However, evidence of such improvements is scarce, maturity research unclear. Objectives This study aimed evaluate discussing LA‐driven LD higher education. Methods The systematic review analyses 49 empirical papers, assesses their quality suggests further directions. elaborates on methodological (research questions, strategy methods, LA‐LD integration theoretical backgrounds) substantial (LA‐driven improvements, types data used, LA software development) features papers. Results Conclusions findings demonstrated lack alignment between LD, with tending towards user experience studies. most frequently used was a case study; experiments were very rare. Researchers predominantly parsing collecting AI methods analysing it; mostly related registering learners' engagement activities as well resources tools provided digital environments. Takeaways area still has way go before attaining level full maturity. Only third papers reported actual improvements; moreover, only three measured effectiveness. presented at beta or implementation stages did not assess impact this software.

Язык: Английский

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Navigating Generative AI: The Teacher Librarian's Role in Cultivating Ethical and Critical Practices

Journal of the Australian Library and Information Association, Год журнала: 2023, Номер 73(1), С. 3 - 26

Опубликована: Дек. 6, 2023

The recent evolution of Generative Artificial Intelligence (GAI) has already made a tangible impact within the realm education. Positioned at forefront information and digital literacies, teacher librarians (TLs) can be leaders in exploring potential for AI platforms to transform learning teaching. This research is based on an exploratory methodology, investigate how TLs might teach with about GAI by applying CATWOE analysis technique [Checkland, P., & Poulter, J. (2006). Learning action: A short definitive account soft systems its use practitioners, teachers students. Wiley.] context three specific platforms. Findings highlight multifaceted role that assume, extending beyond pedagogical integration encompass broader educational mandate: scaffold students' capabilities as critical ethical users these tools creation information.

Язык: Английский

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Implementing learning analytics in wiki-supported collaborative learning in secondary education: A framework-motivated empirical study

International Journal of Computer-Supported Collaborative Learning, Год журнала: 2022, Номер 17(3), С. 427 - 455

Опубликована: Сен. 1, 2022

Язык: Английский

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Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education

Опубликована: Март 5, 2024

Learning analytics (LA) holds a promise to transform education by utilizing data for evidence-based decision-making. Yet, its application in early childhood (ECE) remains relatively under-explored. ECE plays crucial role fostering fundamental numeracy and literacy skills. While standardized tests was intended be used monitor student progress, they have been increasingly assumed summative high-stake due the substantial impact. The pressures succeeding such well-documented negatively affect both students teachers. Attempting ease stress better support teachers, current study delved into LA potential predicting test performance using formative assessments. Beyond predictive accuracy, addressed ethical considerations related fairness uncover risks associated with adoption. Our findings revealed promising opportunity empower teachers schools more time room help prepared based on predictions obtained earlier before tests. Notably, bias can significantly observed disabilities even same actual competence compared without disabilities. In addition, we noticed that inclusion of demographic attribute had no significant impact not necessarily exacerbate overall bias, but may received certain subgroups (e.g., different types disability).

Язык: Английский

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