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اشرف زاده, توحید, مصرآبادی, جواد, یاری قلی, بهبود, شیخ علیزاده, سیاوش. (1402). اثربخشی یادگیری الکترونیک بر عملکرد تحصیلی با رویکرد فراتحلیل. فناوری آموزش, 17(3), 525-540. doi: 10.22061/tej.2023.9550.2862
توحید اشرف زاده; جواد مصرآبادی; بهبود یاری قلی; سیاوش شیخ علیزاده. "اثربخشی یادگیری الکترونیک بر عملکرد تحصیلی با رویکرد فراتحلیل". فناوری آموزش, 17, 3, 1402, 525-540. doi: 10.22061/tej.2023.9550.2862
اشرف زاده, توحید, مصرآبادی, جواد, یاری قلی, بهبود, شیخ علیزاده, سیاوش. (1402). 'اثربخشی یادگیری الکترونیک بر عملکرد تحصیلی با رویکرد فراتحلیل', فناوری آموزش, 17(3), pp. 525-540. doi: 10.22061/tej.2023.9550.2862
اشرف زاده, توحید, مصرآبادی, جواد, یاری قلی, بهبود, شیخ علیزاده, سیاوش. اثربخشی یادگیری الکترونیک بر عملکرد تحصیلی با رویکرد فراتحلیل. فناوری آموزش, 1402; 17(3): 525-540. doi: 10.22061/tej.2023.9550.2862

اثربخشی یادگیری الکترونیک بر عملکرد تحصیلی با رویکرد فراتحلیل

فناوری آموزش
مقاله 4، دوره 17، شماره 3 - شماره پیاپی 67، تیر 1402، صفحه 525-540    اصل مقاله (2.07 M)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22061/tej.2023.9550.2862
نویسندگان
توحید اشرف زاده؛ جواد مصرآبادی* ؛ بهبود یاری قلی؛ سیاوش شیخ علیزاده
گروه علوم تربیتی، دانشکده علوم تربیتی و روان‌شناسی، دانشگاه شهید مدنی آذربایجان، تبریز، ایران
تاریخ دریافت: 16 دی 1401،  تاریخ بازنگری: 29 فروردین 1402،  تاریخ پذیرش: 13 اردیبهشت 1402 
چکیده
پیشینه و اهداف: طی چند دهۀ گذشته یادگیری الکترونیک مورد توجه بسیاری از پژوهشگران قرار گرفته است و محققان زیادی به بررسی تأثیر یادگیری الکترونیک بر عملکرد تحصیلی پرداخته ­اند که منجر به نتایج متفاوتی شده است. وجود پژوهش‌های متعدد در این حوزه لزوم انجام یک فراتحلیل، یا پژوهش ترکیبی در این حوزه را مورد تأکید قرار می‌دهد. پژوهش حاضر با هدف فراتحلیل تأثیر یادگیری الکترونیک بر عملکرد تحصیلی انجام شده است.
روش‌ها:‌ پژوهش حاضر به روش فراتحلیل انجام شد. جامعه آماری پژوهش حاضر کلیه تحقیقات معتبر منتشر شده در پایگاه‌های اطلاعاتی رایانه‌ای بود که به بررسی اثربخشی یادگیری الکترونیکی بر عملکرد تحصیلی پرداخته بودند. جامعه آماری شامل مطالعات در دسترس بود که در بین سال­های 1375 تا 1400 منتشر شده بود. به ‌منظور جمع‌‌آوری اطلاعات از چک‌لیست مشخصات طرح‌های پژوهشی مصرآبادی (1389) استفاده شد. با استفاده از روش نمونه­ گیری هدفمند و جستجوی گسترده براساس کلیدواژه­ های مشخص شده و با اعمال ملاک­های ورود و خروج، 243 پژوهش به‌عنوان نمونه انتخاب و وارد فرآیند فراتحلیل شدند. به‌منظور تجزیه و تحلیل داده­ها از تحلیل حساسیت، نمودار قیفی، مدل­های ثابت و تصادفی و تحلیل ناهمگنی با استفاده از CMA استفاده شد. از پژوهش­های منتخب به‌عنوان نمونه، در مجموع 311 اندازه اثر استخراج شد که 17 اندازه اثر افراطی در تحلیل حساسیت حذف و تحلیل‌های بعدی بر روی 294 اندازه اثر انجام شد. شاخص تعداد امن از تخریب مقدار 1911 به‌دست آمد که نشان می­دهد پس از ورود این تعداد اندازه اثر غیرمعنی­دار، اندازه اثر ترکیبی محاسبه شده غیرمعنی­دار خواهد شد.
یافته‌ها: یافته­ ها نشان داد که میانگین اندازه اثر کلی پژوهش­ های مورد بررسی برای مدل اثرات ثابت 726/0 و برای مدل اثرات تصادفی 009/1 بود که هر دو از نظر آماری معنی­دار بودند (p<0.001) که این امر بیانگر رابطه مثبت و معنی­دار بین یادگیری الکترونیکی و عملکرد تحصیلی بود. با توجه به ناهمگونی اندازه ­های اثر، جنسیت، نوع نمونه، نوع یادگیری الکترونیک، نوع درس، سن آزمودنی­ها و نوع روش پژوهش به‌عنوان متغیرهای تعدیل‌کننده بررسی شدند. نتایج نشان داد که اندازه اثر یادگیری الکترونیک با عملکرد تحصیلی در دختران بیش از پسران، در دانش­آموزان پیش ­دبستانی بیش از دیگران، در یادگیری با موبایل بیش از سایر انواع یادگیری الکترونیک، در درس روش‌های تدریس بیش از سایر دروس و در تحقیقات آزمایشی بیشتر از تحقیقات همبستگی است. همچنین نتایج پژوهش نشان داد که سن آزمودنی­ها در تبیین ناهمگنی سهم بسیار اندکی دارد.
نتیجه‌گیری: نتایج نشان داد که یادگیری الکترونیکی بر عملکرد تحصیلی تأثیر معناداری دارد و براساس معیار کوهن، اندازه اثر این رابطه بالا بود (009/1). ارائه برنامه‌هایی در راستای آموزش تأثیر یادگیری الکترونیک بر عملکرد تحصیلی، ضرورتی است که باید بیش‌ازپیش مورد ملاحظه قرار گیرد. با توجه به نتایج به‌دست آمده و کمیّت و کیفیت پژوهش­های موجود، پیشنهاد می­شود تحقیقات این دو حوزه در سطح بالاتری از لحاظ رعایت قواعد تدوین مقاله و اجرای پژوهش انجام شود. همچنین برای رسیدن به یک نتیجه قابل اعتماد در مرحله اول از آمار پارامتریک در طرح خود استفاده کنند و روش­های آماری قوی همراه با نمونه متناسب و روش­های نمونه ­گیری مناسب با جامعه استفاده شود.
کلیدواژه‌ها
اندازه اثر؛ عملکرد تحصیلی؛ فراتحلیل؛ یادگیری الکترونیک
موضوعات
یادگیری الکترونیکی
عنوان مقاله [English]
The Effectiveness of Electronic Learning on Academic Performance with Meta-Analysis
نویسندگان [English]
T. Ashrafzade؛ J. Mesrabadi؛ B. Yargholi؛ S. Sheikhalizadeh
Department of Education, Azarbaijan Shahid Madani University, Tabriz. Iran
چکیده [English]
Background and Objectives: Over the last few decades, electronic learning has been the focus of many studies and many researchers have examined the effect of electronic learning on academic performance, which yielded different results that highlighted a demand for a combination of research in this area. The aim of this research is a meta-analysis of the effect of electronic learning on academic performance.
Methods: The present study was conducted using meta-analysis method. The corpus of the present study included all valid research published which was available in computer databases that examined the effectiveness of electronic learning on academic performance. The intended data were available in related studies between 1996-2022. For gathering data, Mesrabadi research proposal checklist (2011) was used. Using the purposive sampling method and extensive search based on the specified keywords and applying entry and exit criteria, 243 studies were selected as a sample and were entered into the meta-analysis process. Sensitivity analysis, fixed and random effects models, and heterogeneity analysis with CMA software were used for data analysis. From selected studies as a sample, in total, 311 effect sizes were extracted which 17 extreme effect sizes were eliminated in sensitivity analysis and the next analyzes were performed on 294 effect sizes. The value of “fail-safe N” statistic was obtained in 1911, which indicated that after entering this number of non-significant studies, the combined effect size would be non-significant.
Findings: The findings indicated that the mean of the total effect of the studies was 0.726 for the fixed effects model and 1.009 for the random effects model; both of them were statistically significant (p<0.001) which indicated a positive and significant relationship between electronic learning and academic performance. As the effect sizes were heterogeneous, gender, type of sample, type of electronic learning, type of course, age, and type of research method were examined as the mediating variables. The results indicated that the effect size of electronic learning on academic performance is higher among the females compared to that of the males, and in preschool students more than others, in mobile-based instruction more than other types, in teaching methods courses more than other courses, and in experimental research more than correlation research. Also, the results of the research showed that the age of the subjects had a very small contribution to explaining the heterogeneity. The results showed that electronic learning had a significant effect on academic performance and based on Cohen's criterion, the effect size of this relationship was found to be high (ES=1/009).
Conclusion: Supplying programs to educate the effect of electronic learning on academic performance is a necessity that needs to be considered more than before. Considering the obtained results and the quantity and quality of existing research studies, it is suggested that the studies of these two fields be carried out at a higher level in observance of the rules of academic paper writing and conducting research. Also, to achieve a reliable result in the first stage, parametric statistics in their design and strong statistical methods with appropriate sample and appropriate sampling methods in accordance with the population should be used.
کلیدواژه‌ها [English]
Effect Size, Academic Performance, Meta Analysis, Electronic Learning
مراجع
[1] Faani S, Zoulfy V, Karimi M. [The effectiveness of teaching emotion regulation strategies in the components of academic procrastination and the components of academic performance of girl high school students]. Educational and Scholastic studies. 2022; 11(1): 255-278. Persian.

[2] Schnorr K G D. High school teachers describe growth mindset related to teaching pedagogy and students’ academic achievement. Psychology. 2022; 13: 994-1008.

[3] Aelenei C, Jury M, Darnon C, Sicard A, Maggio S, Martinot M. Self-enhancement values and academic achievement: An interaction with students' parental level of education and gender? British Journal of Educational Psychology published. 2022; 1-15.

[4] Sabaghi Nia M, Rabiei M, Sadeghi H. [The relationship between the use of virtual social networks in educational interactions during the Covid-19 crisis and student academic performance considering the mediating role of the quality of learning experiences]. Journal of Sabzevar University of Medical Sciences. 2022; 29(4): 475-484. Persian.

[5] Takizawa Y, Kobayashi K. Cross-sectional, longitudinal relationships of gender, academic motivation, learning activities, and lifestyle activities with academic performance among Japanese children: A 3-year sequential cohort study. International Journal of Educational Research. 2022; 3: 1-15.

[6] Al-Abdullatif A M, Gameil A A. The effect of digital technology integration on students’ academic performance through project-based learning in an e-learning environment. International Journal of Emerging Technologies in Learning. 2021; 16(11): 189–210.

[7] Akbari M, Javadi N, Danesh M. [Factors affecting students' continued intention to use e-learning systems]. Technology of Education Journal. 2022; 16(3): 483-498. Persian.  

[8] Al Wahhabi GH, Rajab B A. The impact of online learning on the female MA TESOL students’ academic performance during the COVID-19 pandemic. Open Journal of Modern Linguistics. 2022; 12: 313-335.

[9] Mohammed A, Ahmed M, Mohammed F, Hamarai A. Using analysis of variance in the academic achievement to compare three learning patterns for university students. Creative Education. 2022; 13: 2104-2118.

[10] Esmaeili Shad B. [Analyzing the lived experiences of teachers during the Corona era and providing a practical model for implementing the evaluation process in post-corona combined education]. Journal of Educational Psychology. 2022; 13(1): 1-21. Persian.

[11] Anak Igai W K, Yunus M. A systematic review of perception of e-learning users in formal education during Covid-19 pandemic. Creative Education. 2022; 13: 1981-1998.

[12] Torkzadeh J, Ahangari M, Mohammadi M, Marzooghi R, Hashemi S. [Examining the external effectiveness components of e-learning to provide a framework for developing qualitative change in higher education]. Technology of Education Journal. 2022; 16(2): 221-236. doi:10.22061/tej.2021.5913.2322. Persian.   

[13] Le N. Literature review on the barriers to online learning during Covid-19 pandemic. Open Access Library Journal. 2022; 9: 1-9.

[14] Fallon C, Brown Sh. E-Learning standards: A guide to purchasing, developing, and deploying standards-conformant e-learning. 2002; USA: CRC Press LLC.

[15] Zamani A, Mohamad M, Reesha A, Kamarudin R. The impact of Covid-19: A literature review on the challenges in e-learning. Creative Education. 2022; 13: 3490-3503.

[16] Dehghan H, Esmaeili V, Paridokht F, Javadzade N, Jalali M. Assessing the students' readiness for e-learning during the Covid-19 pandemic: A case study. Heliyon. 2022; 8: 1-5.

[17] Aiaty M. The effect of educational video tapes of math lessons on academic performance [master’s thesis]. Allameh Tabatabai University of Tehran; 1996.    

[18] Derakhshesh H. The effect of using internet by teachers on the learning of students from secondary school math teachers point of view in Tehran [master’s thesis]. Payam- Noor University of Tehran; 2009.

[19] Heidari G H, Modanloo Y, Niazazari M, Jafari Galocheh A. [Comparing the effect of English language teaching by instructional software and classical method on students academic achievement]. Information and Communication Technology in Educational Sciences. 2010; 1(1): 103-115. Persian.

[20] Mohamadi M. Investigation influence factors of accounting students failure in universities Qom. [master’s thesis]. The University of Qom, Faculty of Management; 2014.

[21] Zare E, Jabbari T, Barzegar Bafrooei K. [Investigating the relationship between the amount and the way of using mobile phones with achievement motivation and educational among female students in Yazd city]. The Journal of Toloo-e-behdasht. 2019; 18(4): 79-88. Persian.   

[22] Akmali M, Zarei Zavareki E, Pourrostaei Ardakani S. [Investigating the effect of using augmented reality technology on students' learning and retention in English language course]. Journal of Pouyesh in Education and Consultation. 2022; 1400(15): 90-104. Persian.  

[23] Sadat Hosseinian B. Analyzing simple and multiple relationships between information and communication technology (ICT) skills with entrepreneurship, self-efficacy and academic performance of students [master’s thesis]. University of Kashan; 2015.    

[24] Sharifi A, Eslamieh F. [Investigating the relationship between organizational learning and the use of communication and information technologies in Islamic Azad University].  Journal of New Approaches in Educational Administration. 2008; 1(2): 1-22. Persian.

[25] Shariatmadari M, Aghajani M. [The relationship between teachers’ ICT literacy and academic achievement fifth grade students’ in Tehran]. Information and Communication Technology in Educational Sciences. 2015; 6(1(21)): 55-70. Persian.

[26] Alizadeh N, Rezaei M. [The mediating role of individual learning in the relationship between e- learning and academic achievement (Case study: students at Islamic Azad University of Mahmoodabad Branch)]. Journal of Cultural Management. 2020; 13(46): 97-114. Persian.

[27] Dehghan H. The effect of using CALL software (Ace Reader) on Iranian EFL learners’ Toefl reading comprehension and attitude [master’s thesis]. Alzahra University Faculty of Persian Literature; 2009.     

[28] Hadadian F. Effect of math educational multimedia on mathematical anxiety, self-regulation, and academic achievement of first grade secondary school girl students of Harsin city in academic year 2012-2013 [master’s thesis]. Arak University Department of Educational Science and Psychology; 2013.

[29] Rezaei Hesar H, Vahdat R. [The comparison of the effect of study and planning training through using electronic content and traditional method on academic achievement in Biology courses]. Journal of Instruction and Evaluation. 2018; 10(40): 27-41. Persian.

[30] Derakhshan N, Rezaei A, Shakeri R. [The effectiveness of Misha and Kusha's educational software on the academic achievement of math and creativity students in fifth elementary school girl in Sanandaj]. Journal of Instruction and Evaluation. 2020; 13(50): 113-132. doi:10.30495/jinev.2020.1891121.2105. Persian.

[31] Karami J, Younesi A, Azizian A. [Comparing the effectiveness of chemistry laboratory instruction using educational software versus traditional one on students' educational progress]. Technology of Education Journal. 2009; 4(2): 91-99. Persian.

[32] Moradi B. Courseware vs. textbook: Achievement, attitude, and personal reflection of EFL learners towards CALL [master’s thesis]. Urmia Univesity Faculty of Literature and Humanities; 2013.

[33] Masoudi S, Shafezadeh H. [Effectiveness of educational software on students and rate of learning of the students in the 6th grade of elementary school]. Journal of New Approaches in Educational Administration. 2018; 8(32): 271-286. Persian.

[34] Keyhan J. [The effectiveness of computer-based puzzle game on the accuracy, speed, learning and stability of learning mathematics among secondary school students in the Salmas city]. The Journal of New Thoughts on Education. 2020; 16(3): 167-189. doi:10.22051/jontoe.2020.17731.1991. Persian.

[35] Sobhani M. The impact of Ulead software on the achievement of the male and female student of fifth grade of Kashan [master’s thesis]. Payame Noor University; 2015.

[36] Sepasi H, Mehralizadeh Y, Dehkhoda M. [A comparison of the math performance of students participating with the performance of those not participating in Roshd multimedia program on final math exam, with control of IQ scores]. Journal of Educational Sciences. 2006; 13(2), 55-76. Persian.    

[37] Nikoubakht A, Shehniyailagh M, Kiamanesh A. [The comparison of the effectiveness of computer-based education and traditional education on the numerical memory in students with mathematics disorder]. Journal of Psychological Science. 2019; 18(73): 55-65. Persian.    

[38] Hooman H A. Hand book on meta-analysis in scientific research. Teharn: Samt Publication; 2008. Persian.

[39]Mesr Abadi J. Meta-analysis: concepts, software and reporting. Tabriz: Shahid Madani University. 2016. Persian.

[40] Means B, Toyama Y, Murphy R, Bakia M, Jones K. Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. U.S. Department of Education, Office of Planning, Evaluation, and Policy Development, Policy and Program Studies Service, Washington, D.C. 2009.

[41] Wu W, Wu Y, Chen Ch, Kao H, Lin Ch, Huang S. Review of trends from mobile learning studies: A meta-analysis. Computers & Education. 2012; 59: 817-827.

[42] Al Zahrani H, Laxman K. A critical meta-analysis of mobile learning research in higher education. The Journal of Technology Studies. 2016; 74-89.

[43] Mothibi G. A meta-analysis of the relationship between e-learning and students’ academic achievement in higher education. Journal of Education and Practice. 2015; 6(9): 6-10.

[44] Almenara J C, Marín V, Requena B S. Meta-analysis of research in e-learning published in Spanish journals. International Journal of Educational Technology in Higher Education. 2016; 13:25.

[45] Yuwono K T, Sujono H D. The effectiveness of e-learning: A meta-analysis. Journal of Physics: Conference Series. 2018; 1-9.

[46] Talan T. The effect of mobile learning on learning performance: A meta-analysis study. Educational Sciences: Theory and Practice. 2020; 20(1): 79-103.

[47] Guler M, Butuner S O, Danisman S, Gursoy K. A meta-analysis of the impact of mobile learning on mathematics achievement. Education and Information Technologies. 2022; 27(2): 1725-1745.

[48] Ghadimi Moghadam G, Mesrabadi J. [Meta-analysis of cognitive, affective and psychomotor outcomes of e-learning]. Technology of Instruction and Learning. 2017; 3(9): 111-131. Persian.

[49] Mosavi A, Kaviani H. [Meta-analysis of the effectiveness of distance education in higher education learning-teaching activities]. Technology of Education Journal. 2018; 13(1): 63-73. Persian.

[50] Moeinikia M, Zahed Babelan A, Aryani Ghizghapan E, Bigdeli Z. [Meta-analysis of the role of the application of ICT in teaching and learning process on students learning outcomes]. Technology of Education Journal. 2019; 13(3): 687-699. Persian.

[51] Amini N, Nasr A, Zamani B, Tork Ladani B. [Meta-analysis of the impact of the use of information and communication technology On Educational and Research Performance of Faculty Members of Universities]. Technology of Education Journal. 2020; 14(2): 231-245. Persian.

[52] Sharifi M, Fathabadi J, Shokri O, Pakdaman S. [The experience of e-learning in the educational system of Iran: Meta-analysis of the effectiveness of e-learning in comparison to face-to-face education]. Research in School and Virtual Learning. 2019; 7(1): 9-24. Persian.

[53] Sahebyar H, Piri M. [Meta-analysis of the effectiveness of computer- assisted education on learners's academic performance]. Quarterly of Educational Measurement. 2019; 10(37): 1-16. Persian.  

[54] Alidehi Ravandi R, Taher Tolou Del M S. [A meta-analysis of the effectiveness of technology in advancing the goals of mathematics education]. Technology of Education Journal. 2019; 13(4): 786-796. Persian.

[55] Vahedi V S. [The effectiveness of hypertext annotations on learners' vocabulary learning: A meta-analysis]. Technology of Education Journal. 2021; 15(2): 339-349. Persian.

[56] Cohen J. Statistical power analysis for the behavioral sciences (Second ed). Hillsdale, N J: Lawrence Erlbaum Associates; 1988.

[57] Mesr Abadi J. [Meta-analysis of bilingual research In terms of quality, quantity and content (Research Project)]. Tehran: Education Research Institute; 2010. Persian.

[58] Erfani Adab E, Mesr Abadi J, Zavvar T. [The role of the meta cognitive agent, indicators of academic achievement: Meta-analysis of relevant research studies in the country]. Iranian Higher Education. 2014; 5(3): 165-200. Persian.

[59] Higgins J P T, Thompson S G. Quantifying heterogeneity in a meta-analysis. Statistics in Medicine. 2002; 21: 1539-1558.

[60] Higgins J P T, Thompson S G, Deeks J J, Altman D G. Measuring inconsistency in meta-analysis. British Medical Journal. 2003; 327: 557-560.

[61] Teymori Z. [[The study investigates the effect of using educational software on learning the concepts of pre-mathematical number of pre-school children of Tabriz]. Journal of Instruction and Evaluation. 2016; 3(11), 65-78. Persian.

[62] Khosravan N. Impact research of "Aria Electronic library“ software on progress of mathematics, science and Persian lessons of elementary school students, grade one, Shahid Mahalati girls school  [master’s thesis].Payam- Noor University of Tehran; 2015.  

[63] Hajizad M, Firouzi F, Saffarian Hamedani S. [The effect of educational computer game on Bloom’s cognitive levels in learning and retention of mathematical concepts in students]. Information and Communication Technology in Educational Sciences. 2014; 5(1): 77-99. Persian.  

[64] Nasry Sh, Zarei Zavareki E, Armand M, Rezaie I. [Designing and producing an electronic textbook and investigating its impact on students' learning and attitudes]. Journal of University Textbooks Research and Writing. 2012; 16(27): 82-98. Persian.  

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