Results 31 to 40 of about 2,733,073 (288)

Learning by Teaching, with Application to Neural Architecture Search [PDF]

open access: yesarXiv, 2021
In human learning, an effective skill in improving learning outcomes is learning by teaching: a learner deepens his/her understanding of a topic by teaching this topic to others. In this paper, we aim to borrow this teaching-driven learning methodology from humans and leverage it to train more performant machine learning models, by proposing a novel ML
arxiv  

Raising post‐secondary education participation of young people transitioning from care: The effects of extended legislative support

open access: yesAustralian Journal of Social Issues, EarlyView.
Abstract Out‐of‐home care is associated with a range of negative social outcomes for the young people who experience it. The most promising path to improved life chances for care‐experienced young people is arguably through education, especially post‐secondary education.
Naomi Tootell, Andrew Harvey
wiley   +1 more source

Reinforcement Teaching [PDF]

open access: yesarXiv, 2022
Machine learning algorithms learn to solve a task, but are unable to improve their ability to learn. Meta-learning methods learn about machine learning algorithms and improve them so that they learn more quickly. However, existing meta-learning methods are either hand-crafted to improve one specific component of an algorithm or only work with ...
arxiv  

Care Leavers Into Parenthood: Support Needs and Effective Practice Approaches Through Transitions From Care

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT There is significant local and international evidence to show that young people transitioning from care have children by age 21 at far higher rates than the general youth population. Intergenerational child protection involvement is also far higher for this group.
Jade Purtell, Sarah Morris
wiley   +1 more source

Iterative Machine Teaching without Teachers [PDF]

open access: yesarXiv, 2020
Iterative machine teaching is a method for selecting an optimal teaching example that enables a student to efficiently learn a target concept at each iteration. Existing studies on iterative machine teaching are based on supervised machine learning and assume that there are teachers who know the true answers of all teaching examples.
arxiv  

Philanthropy and Indigenous Initiatives: Insights From Australian Donors

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT This paper draws on a survey and interview data, collected from a group of 180 donors who made monetary gifts to an Australian higher education institution, to better understand what drives individuals and organisations to donate to Indigenous initiatives.
Celina McEwen   +4 more
wiley   +1 more source

The Sample Complexity of Teaching-by-Reinforcement on Q-Learning [PDF]

open access: yesarXiv, 2020
We study the sample complexity of teaching, termed as "teaching dimension" (TDim) in the literature, for the teaching-by-reinforcement paradigm, where the teacher guides the student through rewards. This is distinct from the teaching-by-demonstration paradigm motivated by robotics applications, where the teacher teaches by providing demonstrations of ...
arxiv  

Demystifying the Graduate School Application Process

open access: yesThe Bulletin of the Ecological Society of America, Volume 104, Issue 1, January 2023., 2023
Abstract Navigating the graduate school application process is often challenging, requiring intricate knowledge of academia and graduate institutional structures. This “Hidden Curriculum of Academia” includes what different graduate degrees offer, how to connect with a faculty member of interest, and the skills needed to submit a “competitive ...
Cesar O. Estien   +4 more
wiley   +1 more source

Medical students' initial experiences of the dissection room and interaction with body donors: A qualitative study of professional identity formation, educational benefits, and the experience of Pasifika students

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The first experience of medical students in the dissecting room (DR) likely influences professional identity formation (PIF). Sparse data exist exploring how exposure to the DR and body donors without undertaking dissection influences PIF, or how culture may influence this experience.
Jacob Madgwick   +2 more
wiley   +1 more source

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