by Amelia Barili | Jul 9, 2015 | Bridging University and Community, Contemplative Mind in Higher Education, Integrating Body, Mind and Spirit, Older Adult Courses, Science and Spirituality, Transforming Education
The Embodied Mind. UC Berkeley lecture by Dr. Amelia Barili (2012) It was long believed that the connections in our brain became fixed with age. Recent research shows that new experiences can change our brain, supporting learning and optimal mental health well into...
by Amelia Barili | Jul 4, 2015 | Art and Spirituality, Articles, Bridging University and Community, Contemplative Mind in Higher Education, Integrating Body, Mind and Spirit, Jorge Luis Borges, Older Adult Courses, Transforming Education
To download full article click on this link: Borges, Buddhism and Cognitive Science Amelia Barili speaks about Borges’ fascination with Buddhism in this video about one of her UC Berkeley Osher Lifelong Learning courses: Borges, Buddhism and Dreams. ...
by Amelia Barili | Jun 6, 2015 | Contemplative Mind in Higher Education, Integrating Body, Mind and Spirit, Older Adult Courses, Science and Spirituality, Transforming Education
In this workshop we learn how to integrate the most recent findings about neuroplasticity, with the pragmatic teachings of Buddhism on how to cultivate wisdom and compassion, and with the empirical sciences of Classical Yoga and Taoist Qigong. Practitioners of the...
by Amelia Barili | Jun 6, 2015 | Bridging University and Community, Integrating Body, Mind and Spirit, Transforming Education
Amelia Barili is a Spanish Language and Culture lecturer in the Department of Spanish and Portuguese, who is inspiring and preparing university students to use what they know to help others, through an innovative pedagogy that integrates the most recent findings of...
by Amelia Barili | Jun 6, 2015 | Articles, Bridging University and Community, Integrating Body, Mind and Spirit, Transforming Education
To read full article, please click on this link: Learning to Learn: Neurobiology and Cognitive Science as Basis of Autonomous Learning
