Theory Informing and Arising from Learning Analytics
portes grátis
Theory Informing and Arising from Learning Analytics
Gasevic, Dragan; Howard, Sarah K.; Bartimote, Kathryn
Springer International Publishing AG
01/2025
222
Dura
9783031605703
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part I State of the Art Theory and Learning Analytics.- Theory and learning analytics a historical perspective.- Making bigger waves Automating theoretical coding to generate educationally.- In Conversation Gulson Anderson & Prinsloo Examining theoretical approaches and future directions for ethics in learning analytics.- Part II Theory Application in Practice Answering Questions and Increasing the Meaningfulness of Learning Analytics Research.- In Conversation Bannert Molenaar & Winne Multiple perspectives on researching and supporting self regulated learning via analytics.- Learning analytics Framework for Analysing Regulation in Collaborative Learning.- Theory and intermediate level knowledge in Multimodal Learning Analytics.- Collaborative learning theory and analytics.- Emotion theory and learning analytics A theoretical framework for capturing emotion regulation using process data.- Integrating theories of learning and social networks in learning analytics.- What could learning analytics learn from Human Computer Interaction theory.- Part III Innovative Theory Uses and Possibilities in Learning Analytics.- In conversation Baker Jaervelae & Shaffer The relationship between computational methods and theory in learning analytics.- Theories all the way across The role of theory in learning analytics and the case for unified methods.- Towards a genealogical critical theory of learning analytics.
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Educational Research;Theoretical Foundations for Research;Sociological Perspectives;Critical Theory;Self-Regulated Learning (SRL);Socially Shared Regulation (SSRL);Collaborative Learning;Multimodal Data;Emotion Regulation (ER);Computational Methods;Human-Computer Interaction (HCI) Theory;Machine Learning;Social Network Analysis;Ethical Learning Analytics;Data-Driven Learning;Advanced Learning Technologies (ALTs);History of Learning Analytics;Predictive Modelling;Educational Data Mining (EDM);Quantitative Ethnography
Part I State of the Art Theory and Learning Analytics.- Theory and learning analytics a historical perspective.- Making bigger waves Automating theoretical coding to generate educationally.- In Conversation Gulson Anderson & Prinsloo Examining theoretical approaches and future directions for ethics in learning analytics.- Part II Theory Application in Practice Answering Questions and Increasing the Meaningfulness of Learning Analytics Research.- In Conversation Bannert Molenaar & Winne Multiple perspectives on researching and supporting self regulated learning via analytics.- Learning analytics Framework for Analysing Regulation in Collaborative Learning.- Theory and intermediate level knowledge in Multimodal Learning Analytics.- Collaborative learning theory and analytics.- Emotion theory and learning analytics A theoretical framework for capturing emotion regulation using process data.- Integrating theories of learning and social networks in learning analytics.- What could learning analytics learn from Human Computer Interaction theory.- Part III Innovative Theory Uses and Possibilities in Learning Analytics.- In conversation Baker Jaervelae & Shaffer The relationship between computational methods and theory in learning analytics.- Theories all the way across The role of theory in learning analytics and the case for unified methods.- Towards a genealogical critical theory of learning analytics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Educational Research;Theoretical Foundations for Research;Sociological Perspectives;Critical Theory;Self-Regulated Learning (SRL);Socially Shared Regulation (SSRL);Collaborative Learning;Multimodal Data;Emotion Regulation (ER);Computational Methods;Human-Computer Interaction (HCI) Theory;Machine Learning;Social Network Analysis;Ethical Learning Analytics;Data-Driven Learning;Advanced Learning Technologies (ALTs);History of Learning Analytics;Predictive Modelling;Educational Data Mining (EDM);Quantitative Ethnography
