Tracie Farrell
Biographic Data
| ID | 3925299 |
|---|---|
| NAME | Tracie Farrell |
| GIVEN NAMES | Tracie |
| FAMILY NAME | Farrell |
| SIGNATURE | FARRELL T |
| AFFILIATIONS | The Open University |
| ORCID | 0000-0002-2386-4333 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Understanding AI and power: Situated perspectives from Global North and South practitioners
Global debates on artificial intelligence (AI) ethics and governance remain dominated by high-income, AI-intensive nations, marginalizing perspectives from low- and middle-income countries and minoritized practitioners. This qualitative study adopts a decolonial and sociotechnical lens to examine how AI practitioners across Africa, Asia, South America, the Caribbean, and minoritized groups working in high-income contexts conceptualize AI’s value,…
Mediating learning with learning analytics technology: Guidelines for practice
How can we better mediate processes of learning at large institutions? Learning analytics are used primarily in online and blended learning environments to expose patterns in learning behaviour or interaction. They make use of digital traces from virtual learning environments and combine this with other learner data. The goal is to assist both educators and learners in improving their practice. In this work, we apply the concepts of ‘psychologica…
Co‐creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education
Educational outcomes from traditionally underrepresented groups are generally worse than for their more advantaged peers. This problem is typically known as the awarding gap (we use the term awarding gap over ‘attainment gap’ as attainment places the responsibility on students to attain at equal levels) and continues to pose a challenge for educational systems across the world. While Learning Analytics (LA) dashboards help identify patterns contr…
Misogynoir: Challenges in Detecting Intersectional Hate
Misogynoir" is a term that refers to the anti-Black forms of misogyny that Black women experience. To explore how current automated hate speech detection approaches perform in detecting this type of hate, we evaluated the performance of two state-of-the-art detection tools, HateSonar and Google's Perspective API, on a balanced dataset of 300 tweets, half of which are examples of misogynoir and half of which are examples of supporting Black women …
Exploring Misogyny across the Manosphere in Reddit
The 'manosphere' has been a recent subject of feminist scholarship on the web. Serious accusations have been levied against it for its role in encouraging misogyny and violent threats towards women online, as well as for potentially radicalising lonely or disenfranchised men. Feminist scholars evidence this through a shift in the language and interests of some men's rights activists on the manosphere, away from traditional subjects of family law …
Misogynoir: Challenges in Detecting Intersectional Hate
Misogynoir" is a term that refers to the anti-Black forms of misogyny that Black women experience. To explore how current automated hate speech detection approaches perform in detecting this type of hate, we evaluated the performance of two state-of-the-art detection tools, HateSonar and Google's Perspective API, on a balanced dataset of 300 tweets, half of which are examples of misogynoir and half of which are examples of supporting Black women …
Exploring Misogyny across the Manosphere in Reddit
The 'manosphere' has been a recent subject of feminist scholarship on the web. Serious accusations have been levied against it for its role in encouraging misogyny and violent threats towards women online, as well as for potentially radicalising lonely or disenfranchised men. Feminist scholars evidence this through a shift in the language and interests of some men's rights activists on the manosphere, away from traditional subjects of family law …
Misogynoir: Challenges in Detecting Intersectional Hate
Misogynoir" is a term that refers to the anti-Black forms of misogyny that Black women experience. To explore how current automated hate speech detection approaches perform in detecting this type of hate, we evaluated the performance of two state-of-the-art detection tools, HateSonar and Google's Perspective API, on a balanced dataset of 300 tweets, half of which are examples of misogynoir and half of which are examples of supporting Black women …
Mediating learning with learning analytics technology: Guidelines for practice
How can we better mediate processes of learning at large institutions? Learning analytics are used primarily in online and blended learning environments to expose patterns in learning behaviour or interaction. They make use of digital traces from virtual learning environments and combine this with other learner data. The goal is to assist both educators and learners in improving their practice. In this work, we apply the concepts of ‘psychologica…
Co‐creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education
Educational outcomes from traditionally underrepresented groups are generally worse than for their more advantaged peers. This problem is typically known as the awarding gap (we use the term awarding gap over ‘attainment gap’ as attainment places the responsibility on students to attain at equal levels) and continues to pose a challenge for educational systems across the world. While Learning Analytics (LA) dashboards help identify patterns contr…
Understanding AI and power: Situated perspectives from Global North and South practitioners
Global debates on artificial intelligence (AI) ethics and governance remain dominated by high-income, AI-intensive nations, marginalizing perspectives from low- and middle-income countries and minoritized practitioners. This qualitative study adopts a decolonial and sociotechnical lens to examine how AI practitioners across Africa, Asia, South America, the Caribbean, and minoritized groups working in high-income contexts conceptualize AI’s value,…
Computer Science (3 works) · Psychology (3 works) · Sociology (3 works) · Analytics (2 works) · Artificial Intelligence (2 works) · Data science (2 works) · E-Learning and Knowledge Management (2 works) · Hate Speech and Cyberbullying Detection (2 works) · Knowledge management (2 works) · Learning analytics (2 works)