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  2. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    Cognitive biases are systematic patterns of deviation from norm and/or rationality in judgment. They are often studied in psychology, sociology and behavioral economics. [ 1] Although the reality of most of these biases is confirmed by reproducible research, [ 2][ 3] there are often controversies about how to classify these biases or how to ...

  3. Five steps for structuring data-informed conversations and ...

    ies.ed.gov/ncee/edlabs/regions/pacific/pdf/REL...

    This guide provides a framework and the tools and vocabulary needed to support data-informed conversations and action in education. It walks users through five key steps in using data for decisionmaking and strategic action: setting the stage, examining the data, understanding the findings, developing an action plan, and monitoring progress and ...

  4. Decision-making - Wikipedia

    en.wikipedia.org/wiki/Decision-making

    In psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either rational or irrational. The decision-making process is a reasoning process based on assumptions of ...

  5. Myers–Briggs Type Indicator - Wikipedia

    en.wikipedia.org/wiki/Myers–Briggs_Type_Indicator

    The Myers–Briggs Type Indicator ( MBTI) is a pseudoscientific [ 5] self-report questionnaire that claims to indicate differing "psychological types" (often commonly called "personality types"). The test assigns a binary value to each of four categories: introversion or extraversion, sensing or intuition, thinking or feeling, and judging or ...

  6. Support Decision-Making 1 The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent accountability trends, explain why more data are available in schools, the

  7. Using Student Achievement Data to Support Instructional ...

    ies.ed.gov/ncee/wwc/Docs/PracticeGuide/dddm_pg...

    tional decision making. These decisions include, but are not limited to, how to adapt lessons or assignments in response to students’ needs, alter classroom goals or objectives, or modify student-grouping arrangements. The guide also provides recommendations for creating the orga-nizational and technological conditions

  8. data-based decision making. In this article, we reviewed what data-based decision making is and its role in education, the current state of evidence related to inclusive education, and how data-based decision making can be used to support decisions for students with reading disabilities and those with

  9. the success of data-driven decision making for the follow-ing reasons: • There is too much work for any one person to do. • Input from multiple points of view is useful in order to interpret the data and brainstorm solutions. • A broad-based approach builds consensus and buy-in, which helps sustain the decisions that are to be made.