Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment

The role of assessment and evaluation has recently changed in a way which will have fundamental consequences in applying information and communication technologies (ICTs) to analyzing learning outcomes. Rather than helping the teacher only to get her students' final grades from an entirely automated assessment system, the idea is also to support the student to reflect her learning process as early as possible and point out the strong and weak aspects of it. This paradigmatic shift from a teacher-centered assessment towards learner-centric process evaluation offers interesting challenges to educational technologists, especially in the area of essay evaluation. We present a system that evaluates the content of essays based on Latent Semantic Analysis (LSA). The system applies LSA to compare the conceptual similarity between the essays and selected text passages from the course material covering the essay assignment-specific subject matter. In addition to grade, we use LSA to provide writer with more detailed feedback about the covered points in the essay as an introduction to the semi-automatic essay grading.

[1]  Peter W. Foltz,et al.  Supporting Content-Based Feedback in On-Line Writing Evaluation with LSA , 2000, Interact. Learn. Environ..

[2]  Arthur C. Graesser,et al.  Approximate Natural Language Understanding for an Intelligent Tutor , 1999, FLAIRS Conference.

[3]  Peter W. Foltz,et al.  Reasoning from Multiple Texts: An Automatic Analysis of Readers? Situation Models , 1996 .

[4]  Peter W. Foltz,et al.  The intelligent essay assessor: Applications to educational technology , 1999 .

[5]  Howard R. Mzumara,et al.  On-line Grading of Student Essays: PEG goes on the World Wide Web , 2001 .

[6]  Karen Kukich,et al.  The Role of Centering Theory's Rough-Shift in the Teaching and Evaluation of Writing Skills , 2000, ACL.

[7]  Peter W. Foltz,et al.  Analysis of text coherence using Latent Semantic Analysis , 1998 .

[8]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[9]  Daniel Marcu,et al.  Discourse Trees Are Good Indicators of Importance in Text , 1999 .

[10]  Bob Rehder,et al.  How Well Can Passage Meaning be Derived without Using Word Order? A Comparison of Latent Semantic Analysis and Humans , 1997 .

[11]  Arthur C. Graesser,et al.  Select-a-Kibitzer: A Computer Tool that Gives Meaningful Feedback on Student Compositions , 2000, Interact. Learn. Environ..

[12]  Daniel Marcu,et al.  Finding the WRITE Stuff: Automatic Identification of Discourse Structure in Student Essays , 2003, IEEE Intell. Syst..

[13]  E. Sutinen,et al.  Automatic assessment of the content of essays based on course materials , 2004, ITRE 2004. 2nd International Conference Information Technology: Research and Education.

[14]  Ricardo A. Baeza-Yates,et al.  Proximal nodes: a model to query document databases by content and structure , 1997, TOIS.

[15]  Leah S. Larkey,et al.  Automatic essay grading using text categorization techniques , 1998, SIGIR '98.

[16]  Tristan Miller,et al.  Generating Coherent Extracts of Single Documents Using Latent Semantic Analysis , 2003 .

[17]  Martin Chodorow,et al.  CriterionSM Online Essay Evaluation: An Application for Automated Evaluation of Student Essays , 2003, IAAI.

[18]  T. Keith,et al.  Trait Ratings for Automated Essay Grading , 2002 .

[19]  E. B. Page,et al.  The Computer Moves into Essay Grading: Updating the Ancient Test. , 1995 .

[20]  Karen Kukich,et al.  Automated Evaluation of Coherence in Student Essays , .

[21]  Martin Chodorow,et al.  COMPARING THE VALIDITY OF AUTOMATED AND HUMAN ESSAY SCORING , 2000 .

[22]  William Wresch,et al.  The Imminence of Grading Essays by Computer-25 Years Later , 1993 .

[23]  Benoît Lemaire,et al.  A System to Assess the Semantic Content of Student Essays , 2001 .

[24]  Daniel Marcu,et al.  Toward Using Text Summarization for Essay-Based Feedback , 2000 .

[25]  Peter W. Foltz,et al.  The Debate on Automated Essay Grading , 2000, IEEE Intell. Syst..