Atsiliepimai
Formatai:
Aprašymas
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 "e;produce"e; 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.
Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.
Kaip skaityti el. knygas ACSM formatu?
Formatai:
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 "e;produce"e; 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.
Ženkliuku „Kainos garantija” pažymėtoms prekėms Knygos.lt garantuoja geriausią kainą. Jei identiška prekė kitoje internetinėje parduotuvėje kainuoja mažiau - kompensuojame kainų skirtumą. Kainos lyginamos su knygos.lt nurodytų parduotuvių sąrašu prekių kainomis. Knygos.lt įsipareigoja kompensuoti kainų skirtumą pirkėjui, kuris kreipėsi „Kainos garantijos” taisyklėse nurodytomis sąlygomis. Sužinoti daugiau
DĖMESIO!
Ši knyga pateikiama ACSM formatu. Jis nėra tinkamas įprastoms skaityklėms, kurios palaiko EPUB ar MOBI formato el. knygas.
Svarbu! Nėra galimybės siųstis el. knygų jungiantis iš Jungtinės Karalystės.
Daugiau informacijos apie ACSM formato knygas ir kaip jas skaityti rasite čia.
DĖMESIO!
Tai yra elektroninė knyga, skirta skaityti el. knygų skaityklėse, telefonuose, planšetėse ar kompiuteriuose.
Svarbu! Nėra galimybės siųstis el. knygų jungiantis iš Jungtinės Karalystės.
DĖMESIO!
Tai knyga, kurią parduoda privatus žmogus. Kai apmokėsite užsakymą, jį per 7 d. išsiųs knygos pardavėjas . Jei to pardavėjas nepadarys laiku, pinigai jums bus grąžinti automatiškai.
Šios knygos būklė nėra įvertinta knygos.lt ekspertų, todėl visa atsakomybė už nurodytą knygos kokybę priklauso pardavėjui.
Norite ir jūs parduoti skaitytas knygas ir užsidirbti?
Sužinokite daugiau čia
Perskaityta knyga: Nenauja knyga, kuri parduodama tiesiai iš knygos.lt sandėlio. Knygos kokybė įvertinta knygos.lt ekspertų.
Atsiliepimai