{"id":5863,"date":"2019-09-04T04:25:27","date_gmt":"2019-09-04T09:25:27","guid":{"rendered":"https:\/\/www.flonewman.com\/?p=5863"},"modified":"2019-09-04T04:38:23","modified_gmt":"2019-09-04T09:38:23","slug":"essay-grading-software-seen-as-time-saving-tool-2","status":"publish","type":"post","link":"https:\/\/www.flonewman.com\/2019\/09\/04\/essay-grading-software-seen-as-time-saving-tool-2\/","title":{"rendered":"Essay-Grading Software Seen as Time-Saving Tool"},"content":{"rendered":"
Jeff Pence knows the easiest way for his 7th grade English students to enhance their writing is to do a lot more of it. However with 140 students, it would take him at the least a couple of weeks to grade a batch of their essays.<\/p>\n
So the Canton, Ga., middle school teacher uses an online, automated essay-scoring program that allows students to have feedback to their writing before handing in their work.<\/p>\n
“It does not inform them how to handle it, but it points out where issues may exist,” said Mr. Pence, who says the a Pearson WriteToLearn program engages the students almost like a casino game.<\/p>\n
A week and individualize instruction efficiently with the technology, he has been able to assign an essay. “I feel it is pretty accurate,” Mr. Pence said. “could it be perfect? No. However when I reach that 67th essay, i am not accurate that is real either. As a united team, we have been very good.”<\/p>\n
Using the push for students to be better writers and meet with the new Common Core State Standards, teachers are hopeful for new tools to help out. Pearson, which can be based in London and new york, is one of several companies upgrading its technology in this space, also called artificial intelligence, AI, or machine-reading. New assessments to test deeper learning and move beyond multiple-choice email address details are also fueling the need for software to help automate the scoring of open-ended questions.<\/p>\n
Critics contend the application doesn’t do alot more than count words and so can not replace human readers, so researchers will work hard to improve the program algorithms and counter the naysayers.<\/p>\n
While the technology has been developed primarily by companies in proprietary settings, there has been a focus that is new improving it through open-source platforms. New players available in the market, such since the startup venture LightSide and edX, the nonprofit enterprise started by Harvard University in addition to Massachusetts Institute of Technology, are openly sharing their research. Just last year, the William and Flora Hewlett Foundation sponsored an open-source competition to spur innovation in automated writing assessments that attracted commercial vendors and teams of scientists from about the world. (The Hewlett Foundation supports coverage of “deeper learning” issues in Education Week<\/i>.)<\/p>\n
“Our company is seeing lots of collaboration among competitors and folks,” said Michelle Barrett, the director of research systems and analysis for CTB\/McGraw-Hill, which produces the Writing Roadmap for usage in grades 3-12. “This unprecedented collaboration is encouraging a whole lot of discussion and transparency.”<\/p>\n
Mark D. Shermis, an education professor during the University of Akron, in Ohio, who supervised the Hewlett contest, said the meeting of top public and commercial researchers, along side input from many different fields, could help boost performance of the technology. The recommendation through the Hewlett trials is that the automated software be used as a “second reader” to monitor the human readers’ performance or provide additional information about writing, Mr. Shermis said.<\/p>\n
“The technology can not try everything, and nobody is claiming it may,” he said. “But it is a technology that features a promising future.”<\/p>\n
The initial essay-scoring that is automated go back to the early 1970s, but there was clearlyn’t much progress made through to the 1990s with all the advent for the Internet in addition to ability to store data on hard-disk drives, Mr. Shermis said. More recently, improvements have been made within the technology’s capability to evaluate language, grammar, mechanics, and style; detect plagiarism; and supply quantitative and qualitative feedback.<\/p>\n
The computer programs assign grades to writing samples, sometimes on a scale of 1 to 6, in many different areas, from word choice to organization. The products give feedback to help students boost their writing. Others can grade short answers for content. To truly save time and money, the technology can be utilized in various ways on formative exercises or summative tests.<\/p>\n
The Educational Testing Service first used its e-rater automated-scoring engine for a high-stakes exam in 1999 for the Graduate Management Admission Test, or GMAT, relating to David Williamson, a senior research director for assessment innovation for the Princeton, N.J.-based company. It uses the technology with its Criterion Online Writing Evaluation Service for grades 4-12.<\/p>\n
Through the years, the capabilities changed substantially, evolving from simple rule-based coding to more sophisticated software systems. And statistical techniques from computational linguists, natural language processing, and machine learning have helped develop better ways of identifying certain patterns on paper.<\/p>\n
But challenges remain in coming up with a definition that is universal of writing, as well as in training a computer to comprehend nuances such as for instance “voice.”<\/p>\n