Peer editing in composition for multilingual writers at the college level

The goal of the present study was to investigate the effectiveness of a guided peer editing activity for multilingual college freshman. This was an example of action research that began winter quarter 2013. The study used an activity where peer writers and responders identified and corrected errors in essays. Writers then choose which suggestions were errors to change and which did not need change. The study took place at Eastern Washington University in an English 112 class. English 112 is English for Academic Purposes (EAP) which is an English composition class. It took a total of four class periods in two different classes to complete the study. The subjects were taking this course in preparation for English 101 composition. A total of 18 students participated in the study, and they were mainly from Saudi Arabia, but a few were from Japan, China, and Pakistan. Students were divided into pairs for the guided peer-editing activity and had to complete three parts which were forms A, B, and C. This included practice with reading to understand content, identification and correction of errors, and a reflective journal on the process with the benefits and challenges. Students had both cultural similarities essays and argumentative essays to use for this activity. A mixed methods approach was used that employed both qualitative and quantitative methodology. Findings of the study suggest that guided peer response is a positive activity for students and it contributes to improvement with grammar, error identification, and the writing of multilingual writers at the college level. Collaborative learning with community building is also a positive outcome. Finally, the results of the present study provide useful insights into teaching writing to multilingual students and ideas for training peers for this kind of activity --Document

An overview of decision table literature 1982-1995.

This report gives an overview of the literature on decision tables over the past 15 years. As much as possible, for each reference, an author supplied abstract, a number of keywords and a classification are provided. In some cases own comments are added. The purpose of these comments is to show where, how and why decision tables are used. The literature is classified according to application area, theoretical versus practical character, year of publication, country or origin (not necessarily country of publication) and the language of the document. After a description of the scope of the interview, classification results and the classification by topic are presented. The main body of the paper is the ordered list of publications with abstract, classification and comments.

Advances in Character Recognition

This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject

Information Preserving Processing of Noisy Handwritten Document Images

Many pre-processing techniques that normalize artifacts and clean noise induce anomalies due to discretization of the document image. Important information that could be used at later stages may be lost. A proposed composite-model framework takes into account pre-printed information, user-added data, and digitization characteristics. Its benefits are demonstrated by experiments with statistically significant results. Separating pre-printed ruling lines from user-added handwriting shows how ruling lines impact people\u27s handwriting and how they can be exploited for identifying writers. Ruling line detection based on multi-line linear regression reduces the mean error of counting them from 0.10 to 0.03, 6.70 to 0.06, and 0.13 to 0.02, com- pared to an HMM-based approach on three standard test datasets, thereby reducing human correction time by 50%, 83%, and 72% on average. On 61 page images from 16 rule-form templates, the precision and recall of form cell recognition are increased by 2.7% and 3.7%, compared to a cross-matrix approach. Compensating for and exploiting ruling lines during feature extraction rather than pre-processing raises the writer identification accuracy from 61.2% to 67.7% on a 61-writer noisy Arabic dataset. Similarly, counteracting page-wise skew by subtracting it or transforming contours in a continuous coordinate system during feature extraction improves the writer identification accuracy. An implementation study of contour-hinge features reveals that utilizing the full probabilistic probability distribution function matrix improves the writer identification accuracy from 74.9% to 79.5%

Supporting Reading Instruction of High School Students with Learning Disabilities by Using Wynn Software

The purpose of this project was to create a student/teacher handbook, which contained information for the successful integration of the WYNN computer software into the general and special education classroom. Students with learning disabilities struggle with the general education curriculum and new technology provides an individualized approach to the accommodation of their needs. Research concerning learning disabilities and how the use of computers can support these students in the classroom was included