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S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
Bloom's taxonomy is a framework for categorizing educational goals, developed by a committee of educators chaired by Benjamin Bloom in 1956. It was first introduced in the publication Taxonomy of Educational Objectives: The Classification of Educational Goals.
Usually an educational objective relates to gaining an ability, a skill, some knowledge, a new attitude etc. rather than having merely completed a given task. Since the achievement of objectives usually takes place during the course and the aims look forward into the student's career and life beyond the course one can expect the aims of a ...
Mathematics education has been a topic of debate among academics, parents, as well as educators. [4] [9] [195] [38] Majorities agree that mathematics is crucial, but there has been many divergent opinions on what kind of mathematics should be taught and whether relevance to the "real world" or rigor should be emphasized.
Objectives and key results (OKR, alternatively OKRs) is a goal-setting framework used by individuals, teams, and organizations to define measurable goals and track their outcomes. The development of OKR is generally attributed to Andrew Grove who introduced the approach to Intel in the 1970s [ 1 ] and documented the framework in his 1983 book ...
The National Science and Mathematics Access to Retain Talent (SMART) Grant was a need based federal grant that was awarded to undergraduate students in their third and fourth year of undergraduate studies. The National SMART grant was introduced to help maintain the edge that United States has in the fields of Science and Technology. Only ...
A feasible solution that minimizes (or maximizes) the objective function is called an optimal solution. In mathematics, conventional optimization problems are usually stated in terms of minimization. A local minimum x* is defined as an element for which there exists some δ > 0 such that
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.