News
University of Plymouth Commits to Three-Year Partnership with Student Voice for Enhanced Data Analytics
Newcastle University Teams Up with Student Voice for In-depth Student Comment Analysis
University College London Selects Student Voice for Data Analysis of Student Comments
Higher Education Insights
Communication and Feedback: Insights from Human Geography Students
Exploring how effective communication and feedback enhance student experiences in human geography.
By Stuart Grey
Civil Engineering Students' Perspectives on Course Organisation and Management
An exploration of civil engineering students' views on course organisation and how it impacts their academic success.
Unraveling Aeronautical and Aerospace Engineering Students' Perspectives on Feedback
An exploration of aeronautical and aerospace engineering students' views on the quality and impact of feedback.
Navigating the Storm - The Impact of Student Voice on UK Academics
Exploring the impact of student voice on UK academics, the post discusses challenges and opportunities in feedback, emphasizing text analysis for constructive change.
Student Voices in Evaluation - Unpacking Motivations and Perceptions in Higher Education
This post explores UK students' views on evaluations, emphasizing the need for clarity and actionable feedback to enhance education.
Exploring the Depths of Student Dissatisfaction in UK Higher Education
Exploring student dissatisfaction in UK higher education, focusing on the impact of surveys on policies and rankings.
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.