The structure of observed learning outcomes (SOLO) taxonomy is a model that describes levels of increasing complexity in students' understanding of subjects...

taxonomy Structure of observed learning outcome (SOLO) DIKW pyramid Model of hierarchical complexity In some organisations the term learning outcome is used...

Rubric (academic) – Scoring guide for assessment Structure of observed learning outcome – Model of levels of increasing complexity in understanding Wisdom –...

coverage of Mathematical Reviews and Zentralblatt MATH SOLO taxonomy, Structure of Observed Learning Outcome, proposed by Biggs and Collis Tax Uses of taxonomy...

Integrative level – Set of phenomena emerging from pre-existing phenomena Structure of observed learning outcome – Model of levels of increasing complexity...

observed learning outcome (SOLO), an education taxonomy Search Oxford Libraries Online (SOLO), an online union catalogue of the Bodleian Library of Oxford...

Study of research methods Model of hierarchical complexity – Framework for scoring how complex a behavior is Structure of observed learning outcome – Model...

Outcome-based education or outcomes-based education (OBE) is an educational theory that bases each part of an educational system around goals (outcomes)...

trait Structure of observed learning outcome – Model of levels of increasing complexity in understanding Thesis, antithesis, synthesis – Method of reasoning...

practice Rubric (academic) Sensemaking Structure of observed learning outcome Kegan cites the dialectical psychology of Michael Basseches, and Basseches in...

Second-order cybernetics – Application of cybernetics to itself Structure of observed learning outcome – Model of levels of increasing complexity in understanding...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

structured missingness has been observed as a consequence of linking clinical, genomic and imaging data. The presence of structured missingness may be a hindrance...

Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure and...

educational psychology, techniques to directly observe the functioning of the brain during the learning process, such as event-related potential and functional...

recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs,...

efficiency of the social learning algorithm, which has in turn also verified through computer simulations the outcomes of the social learning behavior in...

In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves...

(where the structure of the system being studied evolves over time, invalidating the model) Overfitting Resampling (statistics) Supervised learning Training...

focused on outcomes, often results in an intentional learning opportunity. Informal learning is less structured than "non-formal learning". It may occur...

Observational learning is presumed to have occurred when an organism copies an improbable action or action outcome that it has observed and the matching...

the Learning Modalities and VAK model to the VARK model. However, critics claim that there is no consistent evidence that better student outcomes result...

system where the interplay and interactions of many things impact the outcome of learning." When technology is brought into an educational setting, the pedagogical...

a basic curriculum with articulated goals and outcomes. This style attempts to imitate the structure of a traditional school setting while personalizing...

of learning outcomes, and the model of constructive alignment for designing teaching and assessment. After studying psychology at the University of Tasmania...

differs from formal learning, non-formal learning, and self-regulated learning, because it has no set objective in terms of learning outcomes, but an intent...

create better academic outcomes for students. Scheyvens, Griffin, Jocoy, Liu, & Bradford (2008) further noted that "by utilizing learning strategies that can...

prefer structured fact retention learning styles and are better suited for elaborative processing. The main functions of these four specific learning styles...

directly to assess the achievement of learning outcomes or it is based on data from which one can make inferences about learning. Assessment is often used interchangeably...