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Holistic education is a movement in education that seeks to engage all aspects of the learner, including mind, body, and spirit. [1] Its philosophy, which is also identified as holistic learning theory, [2] is based on the premise that each person finds identity, meaning, and purpose in life through connections to their local community, to the natural world, and to humanitarian values such as ...
John Miller is a Canadian educator, Professor of Curriculum, Teaching and Learning at Ontario Institute for Studies in Education (OISE) at University of Toronto. [1]Miller's work is focused on holistic education, curriculum and spirituality.
Facilitating Holistic Curriculum Development. Assessment & Evaluation in Higher Education, 28(4), 423–434. Shore, M. A., & Shore, J. B. (2003). An Integrative Curriculum Approach to Developmental Mathematics and the Health Professions Using Problem Based Learning. Mathematics and Computer Education, 37(1), 29–38.
Phenomenon-based learning is a constructivist form of learning or pedagogy, where students study a topic or concept in a holistic approach instead of in a subject-based approach. Phenomenon-based learning includes both topical learning (also known as topic-based learning or instruction), where the phenomenon studied is a specific topic, event ...
Some forms of education reform promote the adoption of progressive education practices, and a more holistic approach which focuses on individual students' needs; academics, mental health, and social-emotional learning. In the eyes of reformers, traditional teacher-centered methods focused on rote learning and memorization must be abandoned in ...
In “Elle: Life, Lessons, and Learning to Trust Yourself,” the Australian supermodel known as "the Body" said she had a lumpectomy after being diagnosed with the form of breast cancer known in ...
By outlining specific outcomes, a holistic approach to learning is lost. Learning can find itself reduced to something that is specific, measurable, and observable. As a result, outcomes are not yet widely recognized as a valid way of conceptualizing what learning is about. [14]
Machine-learning models can generate images or compose music, apparently from thin air. But these outputs remain anchored in training data—patterns and examples curated by humans.