Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations

Online education platforms play an increasingly important role in mediating the success of individuals’ careers. Therefore, while building overlying content recommendation services, it becomes essential to guarantee that learners are provided with equal recommended learning opportunities, according to the platform principles, context, and pedagogy. Though the importance of ensuring equality of learning opportunities has been well investigated in traditional institutions, how this equality can be operationalized in online learning ecosystems through recommender systems is still under-explored. In this paper, we shape a blueprint of the decisions and processes to be considered in the context of equality of recommended learning opportunities, based on principles that need to be empirically-validated (no evaluation with live learners has been performed). To this end, we first provide a formalization of educational principles that model recommendations’ learning properties, and a novel fairness metric that combines them to monitor the equality of recommended learning opportunities among learners. Then, we envision a scenario wherein an educational platform should be arranged in such a way that the generated recommendations meet each principle to a certain degree for all learners, constrained to their individual preferences. Under this view, we explore the learning opportunities provided by recommender systems in a course platform, uncovering systematic inequalities. To reduce this effect, we propose a novel post-processing approach that balances personalization and equality of recommended opportunities. Experiments show that our approach leads to higher equality, with a negligible loss in personalization. This paper provides a theoretical foundation for future studies of learners’ preferences and limits concerning the equality of recommended learning opportunities

Female Iraqi Academics In Iraqi Kurdistan: Roles, Challenges & Capacities

This report is based on research carried out by a team of researchers based in Erbil, Iraqi Kurdistan, supervised and coordinated by Professor Nadje Al- Ali, Centre for Gender Studies, School of Oriental and African Studies (SOAS), University of London. The research team consists of Muzhda Muhammed (Department of Social Work, Salahaddin University), Hataw Kareem (Sociology Department, Salahaddin University), Dlaram Salih (Sociology Department, Salahaddin University) and Kawther Akreyi (independent gender consultant). The project is part of and funded by the wider DelPHE Iraq programme that has encouraged cooperation between British and Iraqi universities for capacity building purposes.1 The research presented in this report aimed to study the specific problems and challenges faced by female academics in Iraqi Kurdistan. In addition, the research project was intended to introduce a group of Iraqi Kurdish academics to qualitative research methods as well as gender as a concept of analysis. More broadly, the partnership between SOAS and Salahaddin University is meant to develop and modernize the curriculum and research capacity at Salahaddin University. Additionally, through developing policy recommendations based on the research findings as well as capacity building the project hopes to contribute to improving the opportunities for and representation of female professionals in the Iraqi Kurdish Higher Education (HE) sector. Finally, the project aims to increase sensitivity and awareness about gender issues both within the HE sector as well as within society more widely. The report will provide the main research findings as well as recommendations

Selection Bias in News Coverage: Learning it, Fighting it

News entities must select and filter the coverage they broadcast through their respective channels since the set of world events is too large to be treated exhaustively. The subjective nature of this filtering induces biases due to, among other things, resource constraints, editorial guidelines, ideological affinities, or even the fragmented nature of the information at a journalist's disposal. The magnitude and direction of these biases are, however, widely unknown. The absence of ground truth, the sheer size of the event space, or the lack of an exhaustive set of absolute features to measure make it difficult to observe the bias directly, to characterize the leaning's nature and to factor it out to ensure a neutral coverage of the news. In this work, we introduce a methodology to capture the latent structure of media's decision process on a large scale. Our contribution is multi-fold. First, we show media coverage to be predictable using personalization techniques, and evaluate our approach on a large set of events collected from the GDELT database. We then show that a personalized and parametrized approach not only exhibits higher accuracy in coverage prediction, but also provides an interpretable representation of the selection bias. Last, we propose a method able to select a set of sources by leveraging the latent representation. These selected sources provide a more diverse and egalitarian coverage, all while retaining the most actively covered events

Reimaginging Learning: A Big Bet on the Future of American Education

Today's young people are the most diverse, connected generation in history and have incredible aspirations for themselves. Educators all over the country are reimagining learning to better meet this generation's needs, rethinking classrooms and schools so they work better for students. It's an exciting time for innovation in education.At the same time, big bets are an increasingly popular concept in philanthropy. Several articles and papers in the last year have encouraged donors to consider them as a way of creating meaningful change, including in education. Big bets are usually defined as large grants to a specific issue or an individual organization.We're proposing something different.We've been working with partners across the country who are pursuing a common vision: reimagining learning with a broad set of outcomes in mind, so that every student finishes high school with an abundance of choices and the freedom to pursue them. Philanthropists have an opportunity to make a big bet on this shared vision.Most schools weren't designed with this vision in mind. But right now, all over the country, teams of educators are working to change this. They are partnering with families to create schools that speak to their hopes and honor their strengths. These schools prioritize rigorous academics and help students develop critical thinking skills, set important goals and create plans to reach them, and develop the mindsets and habits they need to take charge of their futures.Through deep engagement with our partners, we've thought concretely about how these ideas might spread and where existing momentum and early evidence might shine a light on a path forward. In September 2015, with our partners Summit Public Schools and Transcend, we released a paper entitled Dissatisfied Yet Optimistic (DYO), which made the case for reimagining learning. This new companion piece explores what it might take to strengthen and accelerate the momentum created by the early pioneers who are designing schools consistent with the ideas in DYO.What follows is a big idea for how $4 billion in philanthropy over 10 years could dramatically improve the performance of our schools by focusing on this emerging vision for how schools could produce much better and broader outcomes for students

Higher Education Marketing to the Hispanic Student Population

The Hispanic population in the United States is growing at an unprecedented rate. The U.S. Census Bureau projects the Hispanic population to make up nearly 25% of the entire United States population by the year 2050. This population growth points at a large market for products and services in the U.S., including higher education. This thesis discussion will address characteristics of the Hispanic population in the United States of America, explore the importance of a diverse student population including Hispanic students on a college or university campus, evaluate the competitiveness University of New Hampshire’s current situation with regard to Hispanic students, and recommend methods through which the University of New Hampshire can improve its approach in marketing its services to Hispanic students