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Doughlas David

One Step Closer To Your Dreams - 1 views

The trains and railways provide speed and ease to travelling passengers. I love trains and that motivates me to Become a train driver. I really want to drive a train myself. I want to take every ...

Become a train driver

started by Doughlas David on 01 Mar 12 no follow-up yet
Dianne Rees

Nuts and Bolts: How to Evaluate e-Learning by Jane Bozarth : Learning Solutions Magazine - 3 views

www.learningsolutionsmag.com/...lts-how-to-evaluate-e-learning

brinkerhoff kirkpatrick evaluation LAK11 stufflebeam alternatives training evaluate elearning

shared by Dianne Rees on 16 Jan 11 - No Cached
  • The linearity and causality implied within the taxonomy (for instance, the assumption that passing a test at Level 2 will result in improved job performance at Level 3) masks the reality of transferring training into measurable results. Many factors enable — or hinder — the transfer of training to on-the-job behavior change, including support from supervisors, rewards for improved performance, culture of the work unit, issues with procedures and paperwork, and political concerns
  • Robert Brinkerhoff takes a systems view of evaluation of training, believing it should focus on sustained performance rather than attempting to isolate the training effort:
  • learn best from the outliers
  • ...4 more annotations...
  • The method asks evaluators to: Identify individuals or teams that have been most successful in using some new capability or method provided through the training; Document the nature of the success; and Compare to instances of nonsuccess.
  • Stufflebeam
  • training as part of a system
  • a means of formative as well as summative evaluation.
  • Dianne Rees on 16 Jan 11
     
    Evaluating training: some alternatives to the Kirkpatrick method
Tony Searl

Learning Analytics: Time Series Visualization | iterating toward openness - 4 views

opencontent.org/...2055

learning analytics visualization openness lak12

shared by Tony Searl on 27 Oct 11 - No Cached
  • Tony Searl on 27 Oct 11
     
    My goal with practical learning analytics is to provide access to data in ways that an average teacher, with no special training, can leverage in order to help her students succeed. This is, of course, an extremely tall order
Dianne Rees

LeanLearning - learning_analytics - 1 views

leanlearning.wikispaces.com/learning_analytics

learning analytics Kirkpatrick evaluation training leanlearning learning_analytics

shared by Dianne Rees on 11 Jan 11 - No Cached
  • Dianne Rees on 11 Jan 11
     
    Kirkpatrick's method is just one approach to considering data from a training program
hansdezwart

Awesome: DIY Data Tool Needlebase Now Available to Everyone - 0 views

www.readwriteweb.com/...eedlebase_now_available_to.php

needlebase database scraping extraction week4 lak11

shared by hansdezwart on 31 Jan 11 - No Cached
  • hansdezwart on 31 Jan 11
     
    Needlebase allows you to view web pages through a virtual browser, point and click to train it in understanding what fields on that page are of interest to you and how those fields relate to each other. Then the program goes and scrapes the data from all of those fields, publishes them into a table, list or map, and recommends merges of cells that appear to be mistakenly separate. It's very cool and it lets non-technical people do things with data quickly and easily that we used to require the assistance of someone more technical to do.
akshita123

Big Data Hadoop Classroom Training in Hyderabad - LearnUnbound - 0 views

www.learnunbound.com/...big-data

analytics data education connectivism SocialSoftware

shared by akshita123 on 28 Sep 15 - No Cached
  • akshita123 on 28 Sep 15
     
    Learn Big Data Hadoop from certified experts in Hyderabad on lowest price with 100% money back guarantee and get more attractive discounts and reward.
hansdezwart

Cloudera Hadoop Training: Thinking at Scale on Vimeo - 1 views

vimeo.com/3579013

hadoop bigdata scaling cloudera lak11 week2

shared by hansdezwart on 18 Jan 11 - No Cached
  • hansdezwart on 18 Jan 11
     
    You know your data is big - you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.
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