کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6834679 | 1434525 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automated essay scoring in applied games: Reducing the teacher bandwidth problem in online training
ترجمه فارسی عنوان
مقیاس خودکار مقدماتی در بازی های کاربردی: کاهش مشکل پهنای باند معلمان در آموزش آنلاین
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
علوم اجتماعی
آموزش
چکیده انگلیسی
This paper presents a methodology for applying automated essay scoring in educational settings. The methodology was tested and validated on a dataset of 173 reports (in Dutch language) that students have created in an applied game on environmental policy. Natural Language Processing technologies from the ReaderBench framework were used to generate an extensive set of textual complexity indices for each of the reports. Afterwards, different machine learning algorithms were used to predict the scores. By combining binary classification (pass or fail) and a probabilistic model for Precision, a trade-off can be made between validity of automated score prediction (Precision) and the reduction of teacher workload required for manual assessment. It was found from the sample that substantial workload reduction can be achieved, while preserving high precision: allowing for a precision of 95% or higher would already reduce the teacher's workload to 74%; lowering precision to 80% produces a workload reduction of 50%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 123, August 2018, Pages 212-224
Journal: Computers & Education - Volume 123, August 2018, Pages 212-224
نویسندگان
Wim Westera, Mihai Dascalu, Hub Kurvers, Stefan Ruseti, Stefan Trausan-Matu,