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Learning log. Two students share and compare their learning logs. Learning Logs are a personalized learning resource for children. In the learning logs, the children record their responses to learning challenges set by their teachers. Each log is a unique record of the child's thinking and learning. The logs are usually a visually oriented ...
Student Learning Objectives. A Student Learning Objectives (SLO) is an assessment tool that allows a teacher to quantify their impact on student achievement as measured within the parameters of a particular academic or elective standard.
Structure of observed learning outcome. Diagram giving an overview of the SOLO Taxonomy approach. The structure of observed learning outcomes ( SOLO) taxonomy is a model that describes levels of increasing complexity in students' understanding of subjects. It was proposed by John B. Biggs and Kevin F. Collis. [1]
Bloom's taxonomy is a set of three hierarchical models used for classification of educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and psychomotor domains.
Curriculum framework. A curriculum framework is an organized plan or set of standards or learning outcomes that defines the content to be learned in terms of clear, definable standards of what the student should know and be able to do. [1] A curriculum framework is part of an outcome-based education or standards based education reform design.
A learning community is a group of people who share common academic goals and attitudes and meet semi-regularly to collaborate on classwork. Such communities have become the template for a cohort-based, interdisciplinary approach to higher education.
Student-centered learning means inverting the traditional teacher-centered understanding of the learning process and putting students at the center of the learning process. In the teacher-centered classroom, teachers are the primary source for knowledge. On the other hand, in student-centered classrooms, active learning is strongly encouraged.
Data-informed decision-making ( DIDM) gives reference to the collection and analysis of data to guide decisions that improve success. [1] Another form of this process is referred to as data-driven decision-making, "which is defined similarly as making decisions based on hard data as opposed to intuition, observation, or guesswork." [2]