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Alternative education in Canada stems from two philosophical educational points of view, Progressive and Libertarian. [8] According to Levin, 2006 the term "alternative" was adopted partly to distinguish these schools from the independent, parent-student-teacher-run "free" schools that preceded them (and from which some of the schools actually evolved) and to emphasize the boards' commitment ...
In business ethics, Ethical decision-making is the study of the process of making decisions that engender trust, and thus indicate responsibility, fairness and caring to an individual. To be ethical, one has to demonstrate respect, and responsibility. [ 1 ]
An alternative school is an educational establishment with a curriculum and methods that are nontraditional. [1] [2] Such schools offer a wide range of philosophies and teaching methods; some have political, scholarly, or philosophical orientations, while others are more ad hoc assemblies of teachers and students dissatisfied with some aspect of mainstream or traditional education.
The program, available for students in grades K-12, offers flexible learning opportunities for families seeking an alternative educational option within the district. The ALE program, designed for ...
CBPR offers nine guiding principles. These principles include: 1) acknowledging communities as "unities of identity", 2) building on existing community strengths and resources, 3) facilitating partnerships that are equitable, collaborative, empowering, and address social inequalities, 4) committing to co-learning and capacity building, 5) balancing knowledge generation and intervention to ...
In common usage, evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards.It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realizable concept/proposal, or any alternative, to help in decision-making; or to generate the degree of ...
The decision leaves in place state neutrality rules adopted by California and others but may end more than 20 years of efforts to give federal regulators sweeping oversight over the internet.
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual orientation, or disability).