Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

Adopting Linacre's guidelines for evaluating rating scale effectiveness, we examined whether and how a six-point rating scale functioned differently across raters, speech acts, and second language (L2) proficiency levels. We developed a 12-item Computerized Oral Discourse Completion Task (CODCT) for assessing the production of requests, refusals,…

Research and development of a new type of scoring rubric for the integrated speaking tasks of "TOEFL iBT"® are described. These "analytic rating guides" could be helpful if tasks modeled after those in TOEFL iBT were used for formative assessment, a purpose which is different from TOEFL iBT's primary use for admission…

This research report describes changes made to the Inventory of Work-Relevant Values when it was revised for online use as a part of the Internet version of DISCOVER. Users will see the following differences between the online and CD-ROM versions of the inventory: 22 items rather than 61, simplified presentation, and the contribution of all items…