The Collaborative Arts Therapist-Teacher Model

Author(s):  
Anat Ayalon
Keyword(s):  
2017 ◽  
Vol 8 (1) ◽  
pp. 45-53
Author(s):  
Veronika Racheva ◽  
◽  
Lyubka Aleksieva ◽  

2021 ◽  
Vol 98 (3) ◽  
pp. 412-435
Author(s):  
Joseph E. Blado

Abstract Recently, social epistemologists have sought to establish what the governing epistemic relationship should be between novices and experts. In this article, the author argues for, and expands upon, Helen De Cruz’s expert-as-teacher model. For although this model is vulnerable to significant challenges, the author proposes that a specifically extended version can sufficiently overcome these challenges (call this the “extended-expert-as-teacher” model, or the “EEAT” model). First, the author shows the respective weaknesses of three influential models in the literature. Then, he argues the expert-as-teacher model can overcome its weaknesses by adding what he calls the “Authority Clause”, “Advisor Clause”, and “Ex Post Facto Clause” of the EEAT model. After developing a robust account of these clauses, the author entertains three major objections. First, he responds to the charge that the EEAT model is little better than the expert-as-authority model. Second, he responds to a double-counting objection. Lastly, he responds to a pragmatic objection from complexity.


Author(s):  
Todd Nicholas Fuist

Todd Nicholas Fuist’s chapter examines the complicated ways in which participants in progressive religious communities use religious language to talk about politics. The chapter shows that the communities Fuist studies use three models for understanding the connection between faith and politics: the Teacher Model, where religious exemplars are understood as promoting progressive action; the Community Model, where groups promote specific, progressive understandings of what it means to be a community; and the Theological Model, where existing beliefs are creatively applied to contemporary politics. Through the combination of these three models, these communities create pathways to understanding and action by sacralizing progressive ideologies and practices about social justice.


1994 ◽  
Vol 2 (2) ◽  
pp. 191-197 ◽  
Author(s):  
Elizabeth L. Holloway ◽  
Howard M. Aposhyan
Keyword(s):  

2014 ◽  
Vol 22 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Priya Adhisesha Reddy ◽  
Kannusamy Veena ◽  
Ravilla Thulasiraj ◽  
Mouttapa Fredrick ◽  
Rengaraj Venkatesh ◽  
...  

2020 ◽  
Author(s):  
Stefanie

As a student, I am learning knowledge with the help of teachers and the teacher plays a crucial role in our life. A wonderful instructor is able to teach a student with appropriate teaching materials. Therefore, in this project, I explore a teaching strategy called learning to teach (L2T) in which a teacher model could provide high-quality training samples to a student model. However, one major problem of L2T is that the teacher model will only select a subset of the training dataset as the final training data for the student. Learning to teach small-data learning strategy (L2TSDL) is proposed to solve this problem. In this strategy, the teacher model will calculate the importance score for every training sample and help students to make use of all training samples. To demonstrate the advantage of the proposed approach over L2T, I take the training of different deep neural networks (DNN) on image classification task as an exampleand show that L2TSDL could achieve good performance on both large and small dataset.


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