کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6838022 | 618439 | 2015 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system
ترجمه فارسی عنوان
انگیزه مهم: تعامل بین اهداف موفقیت و داربست عامل برای یادگیری خود تنظیم در یک سیستم آموزش هوشمند
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کلمات کلیدی
یادگیری خودمراقبتی، سیستم آموزش هوشمند عوامل آموزشی داربست، اهداف دستاورد، انگیزه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
In this study, we examined the influence of achievement goals and scaffolding on self-regulated learning (SRL) and achievement within MetaTutor, a multi-agent intelligent tutoring system. Eighty-three (NÂ =Â 83) undergraduate students were randomly assigned to either a control or prompt and feedback condition and engaged in a 1-h learning session with MetaTutor to learn about the human circulatory system. Process and product data were collected from all participants prior to, during, and following the session. MANCOVA analyses revealed that students in the prompt and feedback condition deployed more SRL strategies and spent more time viewing relevant science material compared to students in the control condition. Results also revealed a significant interaction between achievement goals and condition on achievement outcomes, such that learners adopting a dominant performance-approach demonstrated higher achievement in the prompt and feedback condition. Findings are discussed in relation to the role of motivation in self-regulated learning within computer-based learning environments. Implications for the design of pedagogical agents are also discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 52, November 2015, Pages 338-348
Journal: Computers in Human Behavior - Volume 52, November 2015, Pages 338-348
نویسندگان
Melissa C. Duffy, Roger Azevedo,