menu
{ "item_title" : "Utilizing Learning Analytics to Support Study Success", "item_author" : [" Dirk Ifenthaler", "Dana-Kristin Mah", "Jane Yin-Kim Yau "], "item_description" : "Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion:- Theoretical perspectives linking learning analytics and study success.- Technological innovations forsupporting student learning.- Issues and challenges for implementing learning analytics at higher education institutions.- Case studies showcasing successfully implemented learning analytics strategies at higher education institutions.Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/964/791/3319647911_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Utilizing Learning Analytics to Support Study Success|Dirk Ifenthaler

Utilizing Learning Analytics to Support Study Success

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion:

- Theoretical perspectives linking learning analytics and study success.

- Technological innovations forsupporting student learning.

- Issues and challenges for implementing learning analytics at higher education institutions.

- Case studies showcasing successfully implemented learning analytics strategies at higher education institutions.

Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.

This item is Non-Returnable

Details

  • ISBN-13: 9783319647913
  • ISBN-10: 3319647911
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.48 pounds
  • Page Count: 328

Related Categories

You May Also Like...

    1

BAM Customer Reviews