کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
348153 618158 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detecting and preventing “multiple-account” cheating in massive open online courses
ترجمه فارسی عنوان
شناسایی و جلوگیری از "چند حساب" تقلب در دورههای آموزشی عمومی اینترنتی
کلمات کلیدی
دورههای آموزشی آنلاین (MOOCs)؛ انجمن تخصصی آیفون را تشخیص؛ صدور گواهینامه های آموزشی؛ آموزشی داده کاوی (EDM)؛ امنیت؛ معماری برای سیستم تکنولوژی آموزشی؛ آموزش جوامع؛ یادگیری مادام العمر؛ مسائل مربوط به فنون؛ تدریس / یادگیری STR
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی آموزش
چکیده انگلیسی


• We detect a cheating strategy used in Massive Open Online Courses (MOOCs).
• We call this strategy, “Copying Answers using Multiple Existences Online” (CAMEO).
• We estimate conservatively that at least 1.3% of certificates were earned by CAMEO.
• Among earners of 20 or more certificates, 25% have used the CAMEO strategy.
• CAMEO represents one of many threats to the validity of MOOC certifications.

We describe a cheating strategy enabled by the features of massive open online courses (MOOCs) and detectable by virtue of the sophisticated data systems that MOOCs provide. The strategy, Copying Answers using Multiple Existences Online (CAMEO), involves a user who gathers solutions to assessment questions using a “harvester” account and then submits correct answers using a separate “master” account. We use a small-scale experiment to verify CAMEO and estimate a “lower bound” for its prevalence among 1.9 million course participants in 115 MOOCs from two universities. Using conservative thresholds, we estimate CAMEO prevalence at 1237 certificates, accounting for 1.3% of the certificates in the 69 MOOCs with CAMEO users. Among earners of 20 or more certificates, 25% have used the CAMEO strategy. CAMEO users are more likely to be young, male, and international than other MOOC certificate earners. We identify preventive strategies that can decrease CAMEO rates and show evidence of their effectiveness in science courses.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 100, September 2016, Pages 71–80
نویسندگان
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