کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4937666 1434623 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance
ترجمه فارسی عنوان
ارزیابی مبتنی بر موبایل: ادغام پذیرش و عوامل انگیزشی در یک مدل ترکیبی از پذیرش پذیری تئوری و تکنولوژی خودتنظیمی
کلمات کلیدی
یادگیری موبایل ارزیابی مبتنی بر موبایل، مدل پذیرش فناوری، نظریه خودتنظیم نظریه انگیزش،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Mobile-Based Assessment (MBA) is an alternative or complementary to paper- or computer-based assessment delivery mode. Its successful implementation depends on users' acceptance. However, no study exists exploring the factors that influence students' acceptance of mobile-based assessment. Furthermore, research that combines acceptance with motivational factors is limited. The current study builds on the theoretical framework of the Self-Determination Theory (SDT) of Motivation and the Technology Acceptance Model (TAM) and proposes the Mobile Based Assessment - Motivational and Acceptance Model (MBA-MAM), a combined model that explains and predicts Behavioral Intention to Use Mobile-based Assessment. One-hundred and forty students (N = 140) from a European senior-level secondary school participated in mobile-assisted assessment activities and self-reported their perceptions about ΜΒΑ afterwards. Structured equation modeling used to analyze quantitative survey data. The study confirmed the proposed model, explaining and predicting students' intention to use MBA in terms of both acceptance and motivational (autonomy, competence and relatedness) factors. The study provides a better understanding towards the development of mobile-based assessments by relating acceptance and motivational factors into an integrated model. Implications are discussed within the wider context of mobile learning acceptance research.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 68, March 2017, Pages 83-95
نویسندگان
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