ارائه مدل ارزشیابی مدرسین نظام آموزش الکترونیکی با استفاده از سیستم استنتاج عصبی فازی تطبیقی (ANFIS)

دوماهنامه علمی - پژوهشی رهیافتی نو در مدیریت آموزشی

دوره 12، شماره 4 - شماره پیاپی 50، مهر و آبان 1400، صفحه 176-190   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.30495/jedu.2021.22870.4633

نویسندگان

امیر دانشور¹؛ مهدی همایون فر^{* 2}؛ مهدی فدایی اشکیکی²؛ اسفندیار دشمن زیاری³

¹استادیار ، گروه مدیریت فناوری اطلاعات، دانشکده مدیریت، واحد الکترونیکی، دانشگاه آزاد اسلامی، تهران، ایران

²استادیار، گروه مدیریت صنعتی، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران

³استادیار،گروه مدیریت بازرگانی، دانشکده مدیریت، واحد اسلامشهر، دانشگاه آزاد اسلامی، تهران، ایران

تاریخ دریافت: 11 مهر 1398،  تاریخ بازنگری: 03 مهر 1400،  تاریخ پذیرش: 23 آبان 1400 

چکیده

چکیده
مقدمه و هدف: با توجه به تحول قابل ملاحظه­ نظام­های یادگیری در سال­های اخیر و شرایط حاکم بر زندگی بشر به واسطه همه­گیری ویروس کوید 19، اهمیت آموزش مجازی در سیستم مدیریت یادگیری غیر قابل انکار است. این مساله نقش مدرسان در سیستم­های آموزشی را برجسته تر از هر زمان دیگری کرده است. بر این اساس، هدف تحقیق حاضر، ارائه یک سیستم استنتاج عصبی فازی تطبیقی (ANFIS) هوشمند برای ارزیابی عملکرد مدرسان سیستم های آموزش الکترونیک به ویژه در موسسات دانشگاهی است.
روش شناسی پژوهش: این پژوهش از نظر روش، توصیفی و از نظر هدف کاربردی است. در این پژوهش از یک رویکرد کمی برای طراحی مدل ارزیابی عملکرد مدرسان در نظام آموزش الکترونیک استفاده شده است. جامعه آماری تحقیق شامل خبرگان حوزه مدیریت فناوری اطلاعات دانشگاه آزاد اسلامی استان یزد بوده­اند بر اساس مشخصات تعریف شده، شامل 29 نفر است. با توجه به محدود بودن تعداد عناصر مورد بررسی، جهت انتخاب عناصر نمونه، برای همه عناصر جامعه آماری پرسشنامه ارسال شد که 17 نفر به سئوالات طرح شده پاسخ دادند. در این پژوهش برای تحلیل عملکرد مدرسان در موسسات آموزشی از یک سیستم استنتاج فازی عصبی تطبیقی (ANFIS) استفاده شده است.
یافته ها:سیستم استنتاج فازی عصبی تطبیقی (ANFIS) ارایه شده، بر مبنای ۴ عامل اصلی (فرایند یادگیری تدریس، شیوه تدریس، گرایش پژوهشی و قابلیت‌های فردی) و ۱۶ عامل فرعی در فرایند ارزیابی مدرسان استفاده می‌کند. این سیستم ANFIS، عملکرد مدرسین را در چهار دسته از پیش تعریف شده، یعنی: مدرس نیازمند آموزش، مدرس با مهارت‌های خوب، مدرس بسیار خوب و مدرس عالی طبقه­بندی می­کند.
نتیجه گیری: سیستم طراحی شده ابزار مفیدی در ارزیابی مدرسان و ارائه بازخورد مناسب از نقاط قوت و ضعف آن ها جهت بهبود عملکرد است.

کلیدواژه‌ها

واژه‌های کلیدی: ارزیابی عملکرد مدرسین؛ سیستم مدیریت یادگیری؛ سیستم استنتاج فازی عصبی تطبیقی (ANFIS)؛ آموزش مجازی

عنوان مقاله [English]

Developing a Model for Performance Evaluaion of Teachers in Electronic Education System Using Adaptive Neuro Fuzzy Inference System (ANFIS)

نویسندگان [English]

Amir Daneshvar¹؛ Mahdi Homayounfar²؛ Mahdi Fadaei Eshkiki²؛ esfandiar doshmanziari³

¹Assistant Professor of information technology Management, Faculty of Management, Electronic Branch, Islamic Azad University, Tehran, Iran

²Assistant professor of Industrial Management, Rasht branch, Islamic Azad University, Rasht, Iran

³faculty member of islamshahr Azad University

چکیده [English]

Introduction: According to the significant evolution of learning systems in recent years and the prevailing conditions of human life due to the epidemic of COVID 19 virus, the importance of e-learning in the learning management system is undeniable. This has made the role of teachers in education systems more prominent than ever. Accordingly, the aim of this study is to provide an intelligent adaptive neuro fuzzy inference system (ANFIS) to evaluate the performance of teachers in e-learning system, especially in academic institutions.
research methodology: In terms of method, this research is descriptive and from the objective point of view it's applied. In this research, a quantitative approach has been used to design a model for evaluating the performance of teachers in the e-learning system. The statistical population of the study included experts in the field of information technology management of the Islamic Azad University of Yazd Province. Based on the pre-determined specifications, it includes 29 people. Due to the limited number of under study elements, a questionnaire was sent to all elements of the statistical population where 17 experts answered the questions. In this study, an adaptive neuro fuzzy inference system (ANFIS) method has been used to analyze the performance of teachers in educational institutions.  
Findings: This system is based on 4 main factors (teaching learning process, teaching method, research orientation and individual capabilities) and 16 sub-factors in the teacher evaluation process. The designed ANFIS system classifies the performance of teachers into four predefined categories: teachers need for training, teachers with good skills, teachers who are very good and teachers who are excellent.
Conclusion: The designed system is a useful tool for evaluating teachers and providing appropriate feedback on their strengths and weaknesses to improve their performance.
 

کلیدواژه‌ها [English]

Keywords: Teacher Performance Evaluation, Learning Management System, Adaptive Neuro Fuzzy Inference System (ANFIS), Virtual Education

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