شناسایی مولفه‌های محیط یادگیری مبتنی بر فناوری سیار به‌ منظور اجرای کلاس معکوس اثربخش: یک مطالعه سنتز پژوهی

هدف پژوهش حاضر شناسایی مولفه‌های محیط یادگیری مبتنی بر فناوری سیار به ‌منظور اجرای کلاس معکوس اثربخش: یک مطالعه سنتزپژوهی بود. رویکرد پژوهش ،کیفی و از نوع سنتز پژوهی بود. جامعه آماری کلیه آثار منتشر شده در این حوزه بود که در جستجوی اولیه 179 منبع شناسایی شد. به‌منظور دسترسی به پیشینه و جمع‌آوری منابع نظری متناسب با هدف پژوهش از پایگاه‌های داخلی مگ­ایران، نورمگز، سیویلیکا، پژوهشگاه علوم انسانی، ایران نمایه و پایگاه‌های خارجی اسکوپوس، ساینس دایرکت، پروکوئست، اریک، اشپرینگر و گوگل اسکالر  در بازه زمانی 1393 تا 1401 برای اسناد فارسی و  برای اسناد انگلیسی، بازه زمانی، 2013 تا 2022 استفاده شد. برای تجزیه‌ و تحلیل داده‌ها  از  روش تحلیل محتوای کیفی استقرایی و تحلیل تماتیک استفاده شد. یافته‌های پژوهشی در 4 بعد مضامین، مقولات و مقولات هسته‌ای (اصلی) طبقه‌بندی و تحلیل شدند. نتیجه تحقیق نشان داد در  محیط‌های یادگیری فناوری سیار برای اجرای کلاس معکوس اثربخش باید مولفه‌های محتوای آموزش، روش‌های یادگیری، اشتراک‌گذاری، تولید محتوا، اهداف آموزشی، ارزیابی یادگیرنده محور و انتقال آموزش به خارج از کلاس، سیار بودن و پشتیبانی فناورانه را در نظر داشت.

identifying the components of the learning environment based on mobile technology in order to implement an effective flipped classroom: a synthesis study

learning environments are considered to be one of the most basic factors of effective learning. with the advent of the 20th century, the nature of these environments has undergone fundamental changes and transformations (moradi, fazeli hoseni, 2021). in the past decades, when the volume of information was more limited, the methods used could easily help to remember and link information to each other and create new findings. but now that the amount of information has exceeded the previously limited boundaries, traditional learning methods cannot be less effective for the current amount of information (2022, banks kay). this is despite the fact that in recent years, the introduction of the internet into education changed the attitude and expectations of physical learning environments. gradually, the learning environment will develop as future schools as lifelong learning centers (2021, oecd). on the other hand, it can be said that technological developments created a new learning environment that has non-physical dimensions. internet; this environment can be accessed from anywhere through tools such as computers, tablets or smartphones (mäkelä, fenyvesi, kankaanranta, kenttälä, merjovaara, mäki-kuutti, pavlysh, 2021). therefore, in the present time, according to these developments, one of the most important things that should be paid attention to in learning approaches is the creation of attractive learning environments. this action can be achieved through the use of audio and video technologies as well as the use of concrete examples of content (li huang, 2017). therefore, to achieve greater effectiveness in learning outcomes in learning environments based on mobile technology, it is necessary to adopt and implement the best approaches that create attractive learning situations. in this regard, according to the successful experiences obtained from the implementation of the reverse approach in different countries, it is necessary to examine the components of this approach in our country in order to check the possibility of implementing this approach in mobile learning environments, so this research aims to the identification of the components of the learning environment based on mobile technology for the implementation of an effective flipped class has been done in a central research method. the current research was conducted qualitatively with a mixed research approach. in this research, after coding and selecting the main categories, in the next step, a combination of these categories was done, which led to the design of a conceptual framework in the field of mobile learning based on reverse learning. the selected statistical population includes researches conducted in the field of mobile learning based on reverse learning, and the criteria for entering the research was to be related to mobile learning, reverse learning, persian and english from 2013 to 2023.