Harvard College

Other

Crimson Hexagon, Inc.

Gary King

Eric Mazur

Brian Lukoff

Kelly Miller

Daniel Glen Hopkins

Justin Grimmer

Ying Lu

Amaç Herdagdelen

Aykut Firat

Christopher Bingham

Mitchell Brooks

Margaret Roberts

Patrick Lam

Connor T Jerzak

Anton Strezhnev

Embodiments of the invention utilize a feature-extraction approach and/or a matching approach in combination with a nonparametric approach to estimate the proportion of documents in each of multiple labeled categories with high accuracy. The feature-extraction approach automatically generates continuously valued text features optimized for estimating the category proportions, and the matching approach constructs a matched set that closely resembles a data set that is unobserved based on an observed set, thereby improving the degree to which the distributions of the observed and unobserved sets resemble each other.

Automated nonparametric content analysis for information management and retrieval

Participatory activity carried out using electronic devices is enhanced by occupying the attention of participants who complete a task before a set completion time. For example, a request or question having an expected response time less than the remaining answer time may be provided to early-finishing participants.

Management of off-task time in a participatory environment

Textual responses to open-ended (i.e., free-response) items provided by participants (e.g., by means of mobile wireless devices) are automatically classified, enabling an instructor to assess the responses in a convenient, organized fashion and adjust instruction accordingly.

Cluster analysis of participant responses for test generation or teaching

Representative embodiments of a method for grouping participants in an activity include the steps of: (i) defining a grouping policy; (ii) storing, in a database, participant records that include a participant identifier, a characteristic associated with the participant, and/or an identifier for a participant's handheld device; (iii) defining groupings based on the policy and characteristics of the participants relating to the policy and to the activity; and (iv) communicating the groupings to the handheld devices to establish the groups.

Participant grouping for enhanced interactive experience

In various embodiments, subject matter for improving discussions in connection with an educational resource is identified and summarized by analyzing annotations made by students assigned to a discussion group to identify high-quality annotations likely to generate responses and stimulate discussion threads, identifying clusters of high-quality annotations relating to the same portion or related portions of the educational resource, extracting and summarizing text from the annotations, and combining, in an electronically represented document, the extracted and summarized text and (i) at least some of the annotations and the portion or portions of the educational resource or (ii) clickable links thereto.

Instructional support platform for interactive learning environments

In various embodiments, documents are searched and retrieved via receipt of a search query, electronically identifying a reference set of relevant documents, providing a search set of documents, creating a database comprising at least some of the documents of the search set and the reference set, computationally classifying the documents in the database, extracting keywords from the search set and one or more classified sets, optionally filtering the extracted keywords, and electronically identifying at least some of the documents from the database that contain one or more of the extracted keywords.

Systems and methods for keyword determination and document classification from unstructured text

In various embodiments, online discussions in connection with an educational resource are improved by analyzing annotations made by students assigned to a discussion group to identify high-quality annotations likely to generate responses and stimulate discussion threads and by making the identified annotations visible to students not assigned to the discussion group.

Stimulating online discussion in interactive learning environments

In a computer assisted clustering method, a clustering space is generated from fixed basis partitions that embed the entire space of all possible clusterings. A lower dimensional clustering space is fu-reated from the space of all possible clusterings by isometrically embedding the space of all possible clusterings in a lower dimensional Euclidean space. This lower dimensional space is then sampled based on the number of documents in the corpus. Partitions are then developed based on the samples that tessellate the space. Finally, using clusterings representative of these tessellations, a two-dimensional representation for users to explore is created.

Method and apparatus for selecting clusterings to classify a data set

Anonymous pretesting items for subsequent presentation to participants in a group enable an instructor to validate responses and revise the items accordingly.

Cross-classroom and cross-institution item validation

Systems and methods are provided for classifying text based on language using one or more computer servers and storage devices. A computer-implemented method includes receiving a training set of elements, each element in the training set being assigned to one of a plurality of categories and having one of a plurality of content profiles associated therewith; receiving a population set of elements, each element in the population set having one of the plurality of content profiles associated therewith; and calculating using at least one of a stacked regression algorithm, a bias formula algorithm, a noise elimination algorithm, and an ensemble method consisting of a plurality of algorithmic methods the results of which are averaged, based on the content profiles associated with and the categories assigned to elements in the training set and the content profiles associated with the elements of the population set, a distribution of elements of the population set over the categories.

Growing community of inventors

Brookline, MA, United States of America

Gary King