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  2. Predictive learning - Wikipedia

    en.wikipedia.org/wiki/Predictive_learning

    Predictive learning is a machine learning (ML) technique where an artificial intelligence model is fed new data to develop an understanding of its environment, capabilities, and limitations. This technique finds application in many areas, including neuroscience , business , robotics , and computer vision .

  3. Learning centers in American elementary schools - Wikipedia

    en.wikipedia.org/wiki/Learning_centers_in...

    There are eight basic learning centers in an early childhood/elementary classroom, according to the Stephen F. Austin State University Charter School program, each structured to expand the students’ experiences in a variety of meaningful and effective ways. Each center is constructed to encompass numerous objectives, including state and ...

  4. Rules extraction system family - Wikipedia

    en.wikipedia.org/wiki/Rules_extraction_system_family

    The rules extraction system (RULES) family is a family of inductive learning that includes several covering algorithms. This family is used to build a predictive model based on given observation. It works based on the concept of separate-and-conquer to directly induce rules from a given training set and build its knowledge repository.

  5. Principles of learning - Wikipedia

    en.wikipedia.org/wiki/Principles_of_learning

    Since learning is an active process, students must have freedom: freedom of choice, freedom of action, freedom to bear the results of action—these are the three great freedoms that constitute personal responsibility. If no freedom is granted, students may have little interest in learning.

  6. Rule-based machine learning - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_learning

    Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves 'rules' to store, manipulate or apply. [ 1 ] [ 2 ] [ 3 ] The defining characteristic of a rule-based machine learner is the identification and utilization of a set of relational rules that ...

  7. Modern Language Aptitude Test - Wikipedia

    en.wikipedia.org/wiki/Modern_Language_Aptitude_Test

    "The development of language learning aptitude and metalinguistic awareness in primary-school children: A classroom study." Essex Research Reports in Linguistics, (2013): 62(1), 1-28; Tellier, A.J. "Metalinguistic awareness and foreign language learning in primary school: A classroom study with children aged 8 to 9 years."

  8. Promoting Healthy Choices: Information vs. Convenience - HuffPost

    images.huffingtonpost.com/2012-12-21-promoting...

    2 Abstract Although recent legislation has been enacted to require fast-food restaurants to display calorie information on menus, the consequences of posting such information remain unclear.

  9. Educational assessment - Wikipedia

    en.wikipedia.org/wiki/Educational_assessment

    Assessment of learning mostly occurs at the conclusion of a class, course, semester or academic year while assessment for learning is generally formative in nature and is used by teachers to consider approaches to teaching and next steps for individual learners and the class. [15] A common form of formative assessment is diagnostic assessment ...