- Contextualizable learning analytics for writing support
- Working with Jupyter notebooks #code
- Telling stories with data and visualizations – Some key messages
- London Festival of Learning 2018
- Preparing for a doctoral consortium
- LAK 2018 in Sydney
- The changing face of learning and how to adapt to it
- ICCE 2017 in New Zealand
- Creating reports in R #Code
- Adding CKEditor to webpages in PHP #Code
- Writing and publishing journal articles
- Tools for automated rhetorical analysis of academic writing
- Notes: Discourse classification into rhetorical functions
- Notes: XIP – Automated rhetorical parsing of scientific metadiscourse
- Notes: Automatic recognition of conceptualization zones in scientific articles
- Notes: Computational analysis of move structures in academic abstracts
- Notes: Visualizing sequential patterns for text mining
- Notes: Discipline-independent argumentative zoning
- Notes: Mover – a Machine Learning tool to analyze technical research papers
- Notes: NLP Techniques for peer feedback
- Notes: The calibration of student judgement through self-assessment
- Critical analysis for researchers
- Reading research articles
- Hello again!
- My reflections on DALMOOC
- Concept Map
- Competency 4.2
- Competency 4.1
- Competency 3.2/ Assignment 79
- Competency 3.1 – Basics of Social Network Analysis
- Competency 8.5
- Competency 8.3/ 8.4
- Competency 8.2
- Competency 8.1
- Week 8 Activity – Data preparation
- Week 6 Activity
- Competency 7.4
- Competency 7.3/ Assignment
- Competency 7.1/ 7.2 Text Mining
- Competency 6.2: Key Diagnostic Metrics
- Competency 6.1: Engineer both feature and training labels
- Competency 5.1/ Week 5 Activity
- Competency 5.2/ Week 5 Reflection
- Competency 2.3
- Competency 2.2
- Competency 2.1
- Competency 1.2
- Competency 1.1
- Orientation notes and Competency
- Introduction
