Insights and resources to support better data analysis in education
Text Analysis for Education
Detecting Hate Speech Online Using Machine Learning Models
A new study compares the challenge posed in the detection of offensive and hate speech online in the context of both majority and minority languages.
By David Griffin
Using Machine Learning for Automated Language Analysis
A recently published paper has outlined how AI automated text analysis may be used in a range of applications.
Definitions of Fairness in Machine Learning Explained Through Examples
Designating an algorithm as ‘fair’ is a challenging and complex task. A recently published paper explores definitions of fairness used in machine learning.
Reducing Bias in Natural Language Processing Systems
Machine learning-based language systems should be fair and unbiased. A recently published paper has proposed a novel test procedure.
The Best Text Analysis Software for Education
If you are considering doing manual text analysis and don't need automated labelling or benchmarking what is the best text analysis software for education?
By Stuart Grey
Module Evaluation, Likability and The Case For Free-Text Comments
From the paper: The student evaluation of teaching and likability: what the evaluations actually measure
Halo Effects in the Student Voice: Unwanted Correlations
From the paper: Quantifying halo effects in students’ evaluation of teaching. We look at how correlated questions become less useful in student voice surveys
Gender Stereotypes in the Text of Teaching Excellence Submissions
From the paper: Gender stereotyping in student perceptions of teaching excellence: applying the shifting standards theory
Lexicon and Software Choice in Education Text Analysis
From the paper: Making sense of student feedback using text analysis – adapting and expanding a common lexicon
