Abstract: In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.

Abstract: In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.

Abstract: In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.

Abstract: A computerized method and system for creating test items by generating variants from a test item model, comprising the steps of creating a new test item model by identifying elements of an initial test item or test item model to be variabilized, variabilizing the elements thereby creating test item variables, indicating values the variables can assume, defining the variables, and generating test item variants utilizing a simultaneous constraint solver. The initial test item can be a pre-existing test item or test item model, a newly created test item or even a conceptual template in the mind of the test item creator. The generated test item variants are displayed to the test item creator. The test item creator can store and forward acceptable test item variants for later use as test items. Test item models can be stored for later use in generating new test item variants.

Abstract: In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.

Abstract: A method and apparatus is provided for facilitating the assessment of entities including persons, standards, and/or environments. Contextual information, such as that representing the assessment by a teacher for a student, can be captured by a portable ingestion device and recorded onto media for processing and mapping into rubrics. Assessments can be optionally processed for further analysis.

Abstract: A method and apparatus is provided for facilitating the assessment of entities including persons, standards, and/or environments. Contextual information, such as that representing the assessment by a teacher for a student, can be captured by a portable ingestion device and recorded onto media for processing and mapping into rubrics. Assessments can be optionally processed for further analysis.