مشخصات مقاله | |
ترجمه عنوان مقاله | تجزیه و تحلیل پروفایل پنهان از خودتنظیمی آنلاین دانش آموزان بزرگسال در محیط های آموزشی ترکیبی |
عنوان انگلیسی مقاله | A latent profile analysis of adult students’ online self-regulation in blended learning environments |
انتشار | مقاله سال 2019 |
تعداد صفحات مقاله انگلیسی | 11 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
5.876 در سال 2018 |
شاخص H_index | 137 در سال 2019 |
شاخص SJR | 1.711 در سال 2018 |
شناسه ISSN | 0747-5632 |
شاخص Quartile (چارک) | Q1 در سال 2018 |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | دارد |
رفرنس | دارد |
رشته های مرتبط | مدیریت، علوم تربیتی |
گرایش های مرتبط | مدیریت دانش، تکنولوژی آموزشی |
نوع ارائه مقاله |
ژورنال |
مجله / کنفرانس | نقش کامپیوتر در رفتار انسان – Computers in Human Behavior |
دانشگاه | Department of Educational Sciences, Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium |
کلمات کلیدی | انگیزه پیشرفت، آموزش بزرگسالان، یادگیری ترکیبی، تجزیه و تحلیل پروفایل پنهان، یادگیری خودتنظیم آنلاین |
کلمات کلیدی انگلیسی | Achievement motivation، Adult education، Blended learning، Latent profile analysis، Online self-regulated learning |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.chb.2019.05.021 |
کد محصول | E13641 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract 1. Introduction 2. Theoretical background 3. Present research 4. Methods 5. Results 6. Discussion 7. Conclusion Acknowledgements References |
بخشی از متن مقاله: |
Abstract
Self-regulated learning (SRL) is crucial for academic success; therefore support, to enhance and maintain SRL skills is important. In blended adult education, the heterogeneity of adults creates diversity in SRL abilities, which makes it necessary to provide tailored support. Conducting latent profile analyses for a sample of 213 blended adult students, we identified three profiles, namely high, low, and moderate SRL profiles which prove differences in SRL strategy use and imply tailored SRL support. Through multivariate analysis of variance (MANOVA) and multinomial logistic regression, we further explore the differences in SRL between the profiles and the extent to which the students’ personal background characteristics and achievement motivations predict their profile membership. The three profiles differ significantly in terms of the scores of all SRL subscales. Furthermore, only achievement motivation – more specifically, attainment and utility value – predicts profile membership. These results inform educational practice about opportunities for supporting and enhancing SRL skills. Anticipating attainment and utility value, time management, and collaboration with peers are all recommended. More specifically, teachers can, for example, use authentic tasks and examples during the learning process or be a role model regarding online interaction and information sharing. Introduction Blended learning environments combine face-to-face and online learning activities that are meant to complement each other (Boelens, Van Laer, De Wever, & Elen, 2015). These environments allow students considerable autonomy, which requires self-regulated learning (SRL) for individuals to succeed (Peverly, Brobst, Graham, & Shaw, 2003). Although blended learning environments are autonomous, tailored support for adult students in developing and maintaining their SRL skills should be provided. Since adult students are heterogeneous regarding their previous life, work, and educational experiences, they are diverse in their SRL skills (Barnard-Brak, Lan, & Paton, 2010), which makes a one-size-fits-all approach insufficient for supporting adult students. Optimisation and personalisation of the support of students is crucial for their learning (Authors, 2018b). To adjust the support they provide, teachers should have a clear perspective on students’ current SRL. However, creating a rich assessment of adult students’ SRL in blended learning environments is challenging because (1) existing research on the SRL of adult students in blended learning environments and how to support it is lacking, (2) research on SRL of students in contexts other than blended adult education is not generalisable to blended adult education due to the context specificity of SRL, and (3) in blended learning environments, teachers have limited time to observe their students individually. While blended learning environments allow for the individualisation of education and support, it can become challenging to provide individualised SRL support for each student considering the teachers’ time and effort required to do so. The current study consequently examines how to support teachers in gaining information about their students’ individual SRL needs in order to provide personalised support at an achievable level. |