The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also in education and learning big data analytics is being used to enhance the learning process to evaluate efficiency to improve feedback and to enrich the learning experience. As every step a student takes in the online world can be traced analyzed and used there are plenty of opportunities to improve the learning process of students. First data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback or by enriching the learning experience. Second data analytics can be used to support the instructor or teacher. Using data analytics the instructor can better trace and take targeted actions to improve the learning process of the student. Third there are possibilities in using data analytics to measure the performance of instructors. Finally for policy makers it is often unclear how schools use their available resources to produce outcomes. By combining structured and unstructured data from various sources data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities issues and normative questions with a multidisciplinary team of pedagogists philosophers computer scientists and sociologists. By bringing together various disciplines a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom. | Data Analytics Applications in Education
The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also in education and learning big data analytics is being used to enhance the learning process to evaluate efficiency to improve feedback and to enrich the learning experience. As every step a student takes in the online world can be traced analyzed and used there are plenty of opportunities to improve the learning process of students. First data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback or by enriching the learning experience. Second data analytics can be used to support the instructor or teacher. Using data analytics the instructor can better trace and take targeted actions to improve the learning process of the student. Third there are possibilities in using data analytics to measure the performance of instructors. Finally for policy makers it is often unclear how schools use their available resources to produce outcomes. By combining structured and unstructured data from various sources data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities issues and normative questions with a multidisciplinary team of pedagogists philosophers computer scientists and sociologists. By bringing together various disciplines a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom. | Data Analytics Applications in Education
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Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
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