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{ "item_title" : "Radical Solutions and Learning Analytics", "item_author" : [" Daniel Burgos "], "item_description" : "1 Learning Analytics as a Breakthrough in Educational Improvement.- 2 LA to Improve the Learner's Performance.- 3 LA to Improve the Teacher's Performance.- 4 Dashboards for a Better Application of LA.- 5 Mobile LA in Digital Devices.- 6 Physical Sensors and LA in the Classroom.- 7 Remote Labs and Big Data.- 8 Understanding Big Data for Educational Management.- 9 Interpretation of Live Data and Decision Making in Streamed Lessons and Real-Time User Tracking.- 10 Prediction of Users' Behaviour.- 11 Prevention of Students and Faculty Attrition.- 12 Personalised Mentoring Through Quantitative & Qualitative Data.- 13 User Vectorisation Through Deep Learning and Neural Networks.- 14 Fighting Student's Drop-Out Through Historical Data.- 15 Visual Analytics for a Better Impact of Deep Data.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/154/528/9811545286_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Radical Solutions and Learning Analytics|Daniel Burgos

Radical Solutions and Learning Analytics : Personalised Learning and Teaching Through Big Data

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Overview

1 Learning Analytics as a Breakthrough in Educational Improvement.- 2 LA to Improve the Learner's Performance.- 3 LA to Improve the Teacher's Performance.- 4 Dashboards for a Better Application of LA.- 5 Mobile LA in Digital Devices.- 6 Physical Sensors and LA in the Classroom.- 7 Remote Labs and Big Data.- 8 Understanding Big Data for Educational Management.- 9 Interpretation of Live Data and Decision Making in Streamed Lessons and Real-Time User Tracking.- 10 Prediction of Users' Behaviour.- 11 Prevention of Students and Faculty Attrition.- 12 Personalised Mentoring Through Quantitative & Qualitative Data.- 13 User Vectorisation Through Deep Learning and Neural Networks.- 14 Fighting Student's Drop-Out Through Historical Data.- 15 Visual Analytics for a Better Impact of Deep Data.

This item is Non-Returnable

Details

  • ISBN-13: 9789811545283
  • ISBN-10: 9811545286
  • Publisher: Springer
  • Publish Date: May 2021
  • Dimensions: 9.21 x 6.14 x 0.51 inches
  • Shipping Weight: 0.76 pounds
  • Page Count: 227

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