Posts

  • Questioning Learning Analytics – Cultivating critical engagement (LAK’22)
    Gist of LAK 22 paper
  • Competency 6.2: Key Diagnostic Metrics
    A part of Week 6 was designed to learn about the diagnostic metrics, to see how well our model does, as either classifiers or regressors.  Metrics for Classifiers Accuracy: The easiest measure of model goodness is accuracy. It is also called agreement, when measuring the inter-rater reliability.Accuracy = # of agreements/ Total # of assessmentsIt is generally not ...
  • Competency 6.1: Engineer both feature and training labels
    My notes/ learning Behavior Detectors Behavior detectors are automated (predictive) models that can infer from log files whether a student is behaving in a certain way.  Behaviors: Disengaged behaviors  -gaming the system by trying to succeed without learning -off-task behavior -carelessness by giving wrong answer even when having the required skills -WTF behavior – Without Thinking Fastidiously (by doing unrelated tasks while using ...
  • Competency 5.1/ Week 5 Activity
    Competency 5.1: Learn to conduct prediction modeling effectively and appropriately. I think this competency can be achieved if we are able to complete the given activity in RapidMiner. It is quite difficult for a newbie, but its well-described in the course and definitely doable 🙂 We were asked to build a set of detectors predicting the variable ONTASK for ...
  • Competency 5.2/ Week 5 Reflection
    A quick intro – I skipped weeks 3 & 4 for the time being since I was very much behind schedule coz of starting late. I jumped to Week 5 – Prediction modeling so that I can participate in the discussion and bazaar but sadly I was still lagging to participate. I’m aiming to complete ...
  • Competency 2.3
    Competency 2.3: Evaluate the impact of policy and strategic planning on systems-level deployment of learning analytics. #Assignment 68 Learning analytics could create a bigger impact on learning if implemented top-down than bottom up due to the availability of big data.However, the deployment of learning analytics faces many challenges at the institutional level: 1. Acceptance:To work big on big ...
  • Competency 2.2
    Competency 2.2: Download, install, and conduct basic analytics using Tableau software. For the purpose of this competency, I’ve used a sample excel sheet with simple sales data. I’ve installed Tableau for this exercise and used a two sheet excel. My sample data below: I’ve then added rows and columns to create visualizations. Common tools from the Show ...
  • Competency 2.1
    Competency 2.1: Describe the learning analytics data cycle. Learning Analytics Data Cycle The process of Learning Analytics is a cycle and not linear due to the fact that we need to revisit the steps according to the data and results. I see the data cycle as follows: Cleaning the data could be time consuming and challenging ...
  • Competency 1.2
    Competency 1.2: Define learning analytics and detail types of insight they can provide to educators and learners.My definition of Learning Analytics (based on previous definitions and my understanding):Learning Analytics is something which will help us to process simple data into useful information using different methods. A lot of minute, but useful information may be lost in ...
  • Competency 1.1
    Competency 1.1: Identify proprietary and open source tools commonly used in learning analytics. I have specifically focused on text mining while searching for tools because I’ve been working on it, but some of these also include other options. From my usage, the most powerful ones I’ve seen are Rapidminer and R, both available for free.  Tool Publisher Reference Website Text Analysis ...
  • Orientation notes and Competency
    NOTES DALMOOC Course Basics: DALMOOC emphasizes on Connections (learners) and Creation (Artifacts) and not much on content. It aims to build upon Networked knowledge and Combinatorial Creativity. It encourages users to own their learning space, so that the knowledge does not perish in discussion forums, comments etc.Distributed environment:The contents and conversations can be distributed in various environments:BlogsTwitter ...