Rosé et al., 2008 - Google Patents
Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learningRosé et al., 2008
View PDF- Document ID
- 9701383880427647037
- Author
- Rosé C
- Wang Y
- Cui Y
- Arguello J
- Stegmann K
- Weinberger A
- Fischer F
- Publication year
- Publication venue
- International journal of computer-supported collaborative learning
External Links
Snippet
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the …
- 238000000034 method 0 title abstract description 71
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/105—Human resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rosé et al. | Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning | |
Benoit et al. | Measuring and explaining political sophistication through textual complexity | |
Barberá et al. | Automated text classification of news articles: A practical guide | |
Poesio et al. | Anaphora resolution | |
Dönmez et al. | Supporting CSCL with automatic corpus analysis technology | |
Latifi et al. | Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing | |
Mu et al. | The ACODEA framework: Developing segmentation and classification schemes for fully automatic analysis of online discussions | |
Van Atteveldt et al. | Good news or bad news? Conducting sentiment analysis on Dutch text to distinguish between positive and negative relations | |
Passonneau et al. | Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations | |
Neto et al. | Automatic content analysis of online discussions for cognitive presence: A study of the generalizability across educational contexts | |
Klebanov et al. | Automated essay scoring | |
Flor et al. | Towards automatic annotation of collaborative problem‐solving skills in technology‐enhanced environments | |
Garg | WellXplain: Wellness concept extraction and classification in Reddit posts for mental health analysis | |
Richie et al. | Inter-annotator agreement is not the ceiling of machine learning performance: evidence from a comprehensive set of simulations | |
Mushtaq et al. | Educational data classification framework for community pedagogical content management using data mining | |
De Lin et al. | Mining informal & short student self-reflections for detecting challenging topics–a learning outcomes insight dashboard | |
Žitnik et al. | Automated analysis of postings in fourth grade online discussions to help teachers keep students on-track | |
Le Mens et al. | Uncovering the semantics of concepts using GPT-4 and Other recent large language models | |
Woldemariam | Assessing users’ reputation from syntactic and semantic information in community question answering | |
Liu et al. | From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews | |
Kokensparger | Using compositional writing samples to explore student usage patterns in a learning management system | |
Woldemariam | Expertise detection in crowdsourcing forums using the composition of latent topics and joint syntactic–semantic cues | |
Borg et al. | Quality assurance of generative dialog models in an evolving conversational agent used for Swedish language practice | |
Arafat et al. | Automated essay grading with recommendation | |
Welsh et al. | Brought, Sought, and Taught: Toward a System of Skill-Driven Applications |