Predicting Comprehension from Students' Summaries

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Conference on Artificial Intelligence in Education

• Publication date

  2015-06-21

• Fields of study

  Computer Science, Education

• Identifiers
  DOI 10.1007/978-3-319-19773-9_10
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Mining texts, learners productions and strategies with ReaderBench

  2020influential reference
• Are Automatically Identified Reading Strategies Reliable Predictors of Comprehension?

  2014cited by this paper
• Reflecting Comprehension through French Textual Complexity Factors

  2014cited by this paper
• Analyzing Discourse and Text Complexity for Learning and Collaborating - A Cognitive Approach Based on Natural Language Processing

  2013cited by this paper
• Educational Data Mining: Applications and Trends

  2013cited by this paper
• ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies

  2013cited by this paper
• Motivation and performance in a game-based intelligent tutoring system

  2013cited by this paper
• Contrôle et régulation de la compréhension : l'acquisition de stratégies de 8 à 11 ans

  2012cited by this paper
• Random Search for Hyper-Parameter Optimization

  2012cited by this paper
• Towards an Integrated Approach for Evaluating Textual Complexity for Learning Purposes

  2012cited by this paper
• Metacognitive Reading Strategies Can Improve Self-Regulation

  2010cited by this paper
• Latent Dirichlet Allocation

  2009cited by this paper
• Complexity, accuracy and fluency in second language acquisition

  2009cited by this paper
• Handbook of Metacognition in Education

  2009cited by this paper
• Self-Explanation and Metacognition

  2009cited by this paper
• Assessing and Improving Comprehension With Latent Semantic Analysis

  2007cited by this paper
• Coherence, cohesion and comments on students’ academic essays

  2007cited by this paper
• Handbook of latent semantic analysis

  2007cited by this paper
• Evaluating WordNet-based Measures of Lexical Semantic Relatedness

  2006cited by this paper
• Improving Adolescent Students' Reading Comprehension with Istart

  2006cited by this paper
• SERT: Self-Explanation Reading Training

  2004cited by this paper
• iSTART: Interactive strategy training for active reading and thinking

  2004cited by this paper
• Stumping e-rater: challenging the validity of automated essay scoring

  2002cited by this paper
• STUMPING E‐RATER: CHALLENGING THE VALIDITY OF AUTOMATED ESSAY SCORING

  2001cited by this paper
• A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

  1997cited by this paper
• Centering: A Framework for Modeling the Local Coherence of Discourse

  1995cited by this paper
• Support-Vector Networks

  1995cited by this paper
• The Imminence of Grading Essays by Computer-25 Years Later

  1993cited by this paper
• Strategies of discourse comprehension

  1983cited by this paper

• Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables

  2022cites this paper
• Automated Scoring of Students’ Small-Group Discussions to Assess Reading Ability

  2018cites this paper
• Different Approaches to Assessing the Quality of Explanations Following a Multiple-Document Inquiry Activity in Science

  2017cites this paper
• ReaderBench goes Online: A Comprehension-Centered Framework for Educational Purposes

  2016cites this paper
• Time Evolution of Writing Styles in Romanian Language

  2016cites this paper
• Newcomer Integration in Online Knowledge Communities: Exploring the Role of Dialogic Textual Complexity

  2016cites this paper
• ReaderBench: Automated evaluation of collaboration based on cohesion and dialogism

  2015influential citation