Affiliation:
1. Pearson, USA & University of Colorado – Boulder, USA
Abstract
The ability to convey information through writing is a central component of real-world skills. However, assessing writing can be time consuming, limiting the timeliness of feedback. Automated scoring of writing has been shown to be effective across a number of applications. This chapter focuses on how automated scoring of writing has been extended to assessing and training of real-world skills in a range of content domains. It illustrates examples of how the technology is used and considerations for its implementation. The examples include 1) Formative feedback on writing quality, 2) scoring of content in student writing. 3) improving reading comprehension through summary writing, and 4) assessment of writing integrated in higher-level performance tasks in professional domains.
Reference47 articles.
1. Ananiadou, K., & Claro, M. (2009). 21st century skills and competences for new millennium learners in OECD countries. OECD Education Working Papers, 41.
2. Cognitive modeling and intelligent tutoring
3. Attali, Y., & Powers, D. (2008). Effect of immediate feedback and revision on psychometric properties of open-ended GRE Subject Test items (ETS Research Report No. RR-08-21, GRE Research Report No. GREB-04-05). Princeton, NJ: Educational Testing Service.
4. Immediate Feedback and Opportunity to Revise Answers to Open-Ended Questions
5. Content Importance Models for Scoring Writing From Sources
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献