AI‐driven adaptive learning for sustainable educational transformation

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Окт. 3, 2024

Abstract This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, efficient as well leading people to accepting, addressing, mitigating sustainable development. Recently, witnessed a remarkable technological surge driven various advances in technology, which can be demonstrated the increase of number scientific publications on this topic from just 1 1990 636 2023. Ongoing digitalization revolution together with novel approach respect each student's unique style abilities paved way for represented innovative tools that personalize educational experiences cater individual learners. All contributes preparing more educated informed citizens, drives innovation, supports economic growth necessary achieving future. Our bibliographic study employs VOSviewer conduct bibliometric analysis total 3518 selected using keywords “adaptive learning” “AI” (represented articles, proceeding papers, book chapters) indexed Web Science (WoS) database 2024. results demonstrate recent changes played key role learning, was rather reinforced “digital surge” brought about COVID‐19 pandemic. findings useful further development field where they employed relevant stakeholders policymakers scholars researchers.

Язык: Английский

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The life cycle of large language models in education: A framework for understanding sources of bias

British Journal of Educational Technology, Год журнала: 2024, Номер 55(5), С. 1982 - 2002

Опубликована: Июль 12, 2024

Abstract Large language models (LLMs) are increasingly adopted in educational contexts to provide personalized support students and teachers. The unprecedented capacity of LLM‐based applications understand generate natural can potentially improve instructional effectiveness learning outcomes, but the integration LLMs education technology has renewed concerns over algorithmic bias, which may exacerbate inequalities. Building on prior work that mapped traditional machine life cycle, we a framework LLM cycle from initial development customizing pre‐trained for various settings. We explain each step identify potential sources bias arise context education. discuss why current measures fail transfer LLM‐generated text (eg, tutoring conversations) because encodings high‐dimensional, there be multiple correct responses, tailoring responses pedagogically desirable rather than unfair. proposed clarifies complex nature provides practical guidance their evaluation promote equity. Practitioner notes What is already known about this topic (ML) focus predicting labels well understood. Biases enter ML at points methods measure mitigate these biases have been developed tested. other forms generative artificial intelligence (GenAI) technologies (EdTech), approaches not specific domain paper adds A holistic perspective with domain‐specific examples highlight opportunities challenges incorporating understanding (NLU) generation (NLG) into EdTech. Potential identified discussed where expect harms students, teachers, users GenAI education, guide measurement mitigation. Implications practice and/or policy Education practitioners policymakers should aware originate multitude steps offers them heuristic asking developers assess risk bias. Measuring systems use more ML, large part highly context‐dependent what counts as good feedback an assignment varies). EdTech play important role collecting curating datasets benchmarking moving forward.

Язык: Английский

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How adaptive social robots influence cognitive, emotional, and self-regulated learning

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

Язык: Английский

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There Are Multiple Paths to Personalized Education, and They Should Be Combined

Current Directions in Psychological Science, Год журнала: 2024, Номер 33(3), С. 153 - 158

Опубликована: Апрель 27, 2024

The ubiquity of digital devices has made it feasible to assign different tasks and levels support learners, also in the classroom. Ideally, this is done with help formative assessment software or intelligent tutoring systems. However, personalized assignment by a teacher teaching agent limitations only one path successful personalization. Self-regulated learning adaptable activities, such as generative strategies differentiating tasks, are promising paths personalization, too, combine well assignment. Initial examples combinations presented. I argue that, order be maximally effective, education need combined. This combination promises boost both immediate outcomes long term, facilitated recent advances artificial intelligence.

Язык: Английский

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Education policy and social change: Examining the impact of reform initiatives on equity and access

International Journal of Science and Research Archive, Год журнала: 2023, Номер 11(2), С. 139 - 146

Опубликована: Март 30, 2023

Education policy plays a pivotal role in shaping the socio-economic landscape of society, with reform initiatives serving as catalysts for social change. This review explores dynamic relationship between education policy, change, and pursuit equity access educational systems. The contemporary is marked by growing emphasis on access, driven recognition that serves key determinant mobility opportunity. Reform aimed at addressing disparities outcomes have been central to agendas worldwide. However, effectiveness these reforms achieving their intended goals remains subject debate scrutiny. critically examines impact drawing upon theoretical frameworks empirical evidence. It multifaceted nature equity, encompassing factors such status, race, ethnicity, gender, ability, highlights interconnectedness dimensions within Moreover, delves into mechanisms through which intersects broader structures dynamics, being shaped societal norms, values, power relations. discusses stakeholders, including policymakers, educators, parents, communities, driving implementing initiatives, well challenges barriers they encounter implementation. By synthesizing insights from diverse disciplinary perspectives, this provides nuanced understanding complexities inherent access. underscores importance evidence-based design implementation strategies prioritize inclusivity, diversity, empowerment marginalized groups fostering meaningful sustainable change education.

Язык: Английский

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The influence of learning styles on students’ perceptions of gamified education

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Май 3, 2025

Язык: Английский

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Training flexibility in dealing with additive situations

Learning and Instruction, Год журнала: 2024, Номер 92, С. 101902 - 101902

Опубликована: Март 20, 2024

Students' difficulties with word problems have been the subject of research for decades. Many studies identified students' ability to construct a situation model that reflects problem's structure correctly as major factor. To overcome such difficulties, prior works suggested provide learners strategies, which comprise restructure by integrating different perspectives on presented situation. Corresponding trainings not investigated systematically yet. We report an experimental feasibility study investigating training targeting proposed strategies. Students from ten grade 2 classrooms (N = 115) in Germany participated study. The ten-day focused generating and comparing given situations but did include any problem solving. participating showed significantly higher progress their models solving skills pre-to follow-up test than students control-group. effect was influenced language skills. results indicate it is feasible foster solely how initial generated problem. Since group received additional support contrast control group, impossible draw conclusions about importance regular mathematics lessons, beyond fact effective principle. approach should be compared other approaches

Язык: Английский

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Artificial Intelligence in Addressing Educational Inequality Dimensions in Higher Education Institutions (HEIs)

Advances in finance, accounting, and economics book series, Год журнала: 2024, Номер unknown, С. 146 - 164

Опубликована: Апрель 19, 2024

A key pressing social issue that higher education institutions (HEI) have consciously attended during recent years is the educational inequalities, hindering prospects of marginalized and underrepresented groups in society. Educational inequalities encompass both structural outcome-related aspects. Two major inequality exist, outcomes opportunities. This chapter focuses on outcomes, which mainly outcome unequal distribution academic resources. The critically reviews existing literature, with objective discussing various dimensions sector, role artificial intelligence addressing inequalities. It crucial to ensure use AI guided by ethical frameworks transparency prevent reinforcement biases further marginalization disadvantaged groups.

Язык: Английский

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Intelligent tutoring systems need real teachers

Опубликована: Авг. 8, 2024

The development and distribution of digital learning software, such as intelligent tutoring systems (ITSs), have evolved into a billion-dollar industry, impacting vast number students worldwide. While ITSs significant potential to effectively transform support teachers, the extent which rely on teacher maintain students’ engagement with ITS is less well understood. This study evaluates exceptionally rich data from an for mathematics used in Germany Netherlands (~139,000,000 problems; n ~ 194,000 students) between 2016 2023. We compared whether varied based how they ITS: (i.e., teachers assigned problems versus without self-assigned problems). Our results indicated that consistently (i) dropped out later, (ii) were active significantly more weeks, (iii) worked through each week support. observed these robustly across academic school years within examined period. Overall, our challenges usefulness software stand-alone tools emphasizes need embedding real-life scenarios involving teachers.

Язык: Английский

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Personalizing STEAM Learning

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 31 - 50

Опубликована: Март 4, 2025

The chapter discusses personalized learning and STEAM education as approaches to supporting teaching activities, especially in disciplines. authors defined each approach identified the characteristics challenges involved its implementation. Also, compared two discussed similarities differences implementing them various settings. Further, provides case studies K-12 higher settings involving students pre-service teachers. Finally, address opportunities recommendations that contribute preparing individuals for 21st-century workplaces.

Язык: Английский

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