Posts

  • Questioning Learning Analytics – Cultivating critical engagement (LAK’22)
    Gist of LAK 22 paper
  • Notes: NLP Techniques for peer feedback
    Reference: Xiong, W., Litman, D. J., & Schunn, C. D. (2012). Natural language processing techniques for researching and improving peer feedback. Journal of Writing Research, 4(2), 155-176. Background: Feedback on writing is seen to improve students’ writing, but the process is resource intensive. Possible options to reduce the workload in giving feedback: Direct feedback using technology assisted approaches (from ...
  • Notes: The calibration of student judgement through self-assessment
    Reference: Boud, D., Lawson, R., & Thompson, D. G. (2015). The calibration of student judgement through self-assessment: disruptive effects of assessment patterns. Higher Education Research & Development, 34(1), 45-59. Background: Effective judgement of own work is an important attribute for HDR students Focused on Self-Assessment (also represented as Self-regulation and Metacognition in few works) Problem: Self assessment is not facilitated ...
  • Critical analysis for researchers
    A critical approach is often needed for researchers when it comes to reading, writing and analysis of research articles. Being critical is not to find faults, but rather to ask questions and evaluate the reliability of what is stated. Here’s some useful information from a UTS session on ‘Critical Analysis – What is it and Why is it important for ...
  • Reading research articles
    Reading research articles can be a daunting task for new students. Even after reading many articles over the last few years, I still take time to read, understand and critically evaluate research articles (Takes double the time for theoretical ones, since I’m from a technical background). I’m no expert on this topic (or any topic for ...
  • Hello again!
    After a long inactive period of about two years, I’m finally bringing my blog back to life. Yayy!!! I will be blogging on topics related to learning analytics, text and writing analytics, learning technologies, educational research and probably more general research topics that are useful for fellow PhD students. Note: I’ve tried to import my previous blog ...
  • My reflections on DALMOOC
    It’s been a great experience working with the Data, Analytics and Learning MOOC (DALMOOC) from EdX at https://www.edx.org/course/data-analytics-learning-utarlingtonx-link5-10x#.VJO6xF4AA. I’m so glad  my boss found it and encouraged me to take it (Although I started only in Week 5 of the 9-Week course). It was not easy, nevertheless, it was a very rewarding experience. I would think ...
  • Concept Map
    Competency 9.2: Integrate various course concepts through creation of a graphical representation (concept map) of the relationships between prominent course topics. We’ve had a fruitful time learning about different topics in Learning Analytics. The next task in hand was to create a concept map by finding connections among them. With an assurance from the instructors that ...
  • Competency 4.2
    Competency 4.2: Describe and interpret the results of social network analysis for the study of learning. I’m going to use the analysis I did by extracting twitter data with hashtag #DALMOOC (explained in my post for competency 3.2) to interpret the results of modularity in the network. The density was 0.05 which means that the network ...
  • Competency 4.1
    Competency 4.1: Describe and critically reflect on approaches to the use of social network analysis for the study of learning. I’ve seen some great insights on how to use social network analysis to improve learning. The impact of social network analysis on educational constructs like learning design, sense of community, creative potential, social presence, academic performance ...
  • Competency 3.2/ Assignment 79
    Competency 3.2: Perform social network analysis and visualize analysis results in Gephi. I did assignment 79 in which we are asked to extract data from twitter and analyse the twitter network in Gephi. I extracted twitter data using NodeXL, a freely available add-on to excel. I searched for all tweets with the tag DALMOOC and used ...