کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11512887 1434602 2018 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automated dialog analysis to predict blogger community response to newcomer inquiries
ترجمه فارسی عنوان
تجزیه و تحلیل دیجیتال خودکار برای پیش بینی پاسخ جامعه وبلاگ نویس به سوالات تازه وارد
کلمات کلیدی
انجمن های دانش در حال ایجاد آنلاین، یکپارچه سازی تازه وارد تجزیه و تحلیل یادگیری اجتماعی، تجزیه و تحلیل گفتگو، کمک آموزشی علمی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Informal learning in online knowledge building communities (OKBCs) often starts with online academic help seeking, and with visitor inquiries on specific topics. In such a context, learning presupposes adequate OKBC response. Employing a social learning analytics approach based on natural language processing and Bakhtin's theory of dialogism, this study aims to predict blogger OKBC response. Manipulating the blog topic (well-defined vs. ill-defined) and the visitor inquiry format (off-topic vs. on-topic), a field experiment with a 2 × 2 factorial design was conducted on a sample of N = 68 blogger communities with a total of 25,303 members. For the entire sample, the community response was influenced only by the inquiry format. In a separate examination of the experimental groups, however, this remained true only for the well-defined topic, whereas for the ill-defined topic the community response only depended on the previously established dialog quality. The findings suggest identification criteria for responsive communities, which can support newcomer integration in OKBCs and, from a larger perspective, the use of OKBCs as components of formal learning environments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 89, December 2018, Pages 349-354
نویسندگان
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