Impact of Big Data and Learning Analytics in Education

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What is the main objective of the research on Big Data and learning analytics in education?

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To explore how these tools allow us to adapt teaching, develop new methods, and promote inclusive education.

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What are the general objectives of the research?

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To explore the impact of Big Data, learning analytics, and data mining in education, understanding their contribution to personalized processes, new methodologies, and educational inclusion.

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What is Big Data in the context of education?

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Big Data refers to the management and organization of large amounts of data that cannot be processed with traditional tools.

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What are the benefits of Big Data in education according to Tejada et al. (2018)?

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1. Personalized learning 2. Review and anticipation of student dropout risk 3. Optimization of resources.

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What does learning analytics focus on?

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Understanding and interpreting data generated in educational environments to extract information and improve pedagogical strategies.

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What is data mining in education?

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A tool to extract important data from large amounts of educational data, including identifying learning styles and predicting student performance.

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What are some applications of Big Data in education?

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1. Personalized tutoring systems 2. Adaptive learning 3. Automated assessment 4. Prediction of educational outcomes.

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What technologies are related to Big Data and education?

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1. Artificial Intelligence (AI) 2. Machine Learning 3. Internet of Things (IoT) 4. Blockchain.

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What role does data mining play in education according to Durán & Costaguta (2017)?

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It helps find new learning styles in university students, allowing teachers to adapt their methodologies to student needs.

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What challenges does the combination of technology and information management present in education?

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They are key obstacles in the current landscape, but new technologies promise a bright future for data-driven learning.