مشخصات مقاله | |
انتشار | مقاله سال 2018 |
تعداد صفحات مقاله انگلیسی | 30 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
منتشر شده در | نشریه الزویر |
نوع مقاله | ISI |
عنوان انگلیسی مقاله | Educational Data Mining: A review of evaluation process in the e-learning |
ترجمه عنوان مقاله | داده کاوی آموزشی: بازبینی فرایند ارزیابی در یادگیری الکترونیکی |
فرمت مقاله انگلیسی | |
رشته های مرتبط | علوم تربیتی |
گرایش های مرتبط | تکنولوژی آموزشی |
مجله | تلماتیک و انفورماتیک – Telematics and Informatics |
دانشگاه | Pontical Catholic University of Minas Gerais – Brazil |
کلمات کلیدی | داده کاوی آموزشی، آموزش، آموزش الکترونیکی، ارزيابي فرآيند آموزش و يادگيري |
کلمات کلیدی انگلیسی | Educational data mining. Education. e-Learning. Evaluation of teaching and learning process |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.tele.2018.04.015 |
کد محصول | E8295 |
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 |
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1 Introduction
Currently, the process of teaching-and-learning (TL) is strongly supported by educational technologies, which are used in educational environments both in traditional face-to-face classrooms and in online learning platforms (i.e. e-learning). In the last years, technological advancements have given assistance in providing relevant information for all educational actors (students, teachers, coordinators, and administrators) acting in different educational environments, and thereby promoting the quality and innovations in the educational context as highlighted by Wang et al. (2012); Qiu and Lee (2013); Liu and Peng (2013); Yu and Jo (2014). In order to consolidate and achieve the better quality levels in the e-learning environment, it is necessary to continuously evaluate the teaching and learning process by observing its different aspects, such as the level of interaction of the actors involved, the effectiveness of pedagogical actions from the student’s own response and initiative, the use of multimedia resources, the administrative management responsible for institutional policies, and other aspects that influence the learning and development of better cognitive skills and collaborative work, as emphasized by Sankar and Clayton (2010). Due to its relevance, the problem of evaluation of e-learning has attracted the attention of several authors, among them we can cite Liu (2005); Chen (2005); Mahlow et al. (2007); Calinger and Howard (2008). For example, in Liu (2005) the author emphasizes the need to evaluate the learning process in e-learning through factors such as achievement, motivation, and level of student anxiety during the learning process. In Chen (2005), the authors evaluate the student’s learning through their experience, perception, and attitude during learning. The web-based instruction requires a broad and continuous process of evaluation of teaching and learning to ensure its effectiveness, as highlighted by Yubing and Jianping (2010). Nowadays, it is possible to generate a great volume and wide variety of data from educational environments such as those related to academic records, monitoring and assessment, and the records of interactions by e-mails between students and educators/teachers, discussion forums and chats (Romero and Ventura, 2010; Zaiane and Luo, 2001; Adeva et al., 2006; Wang and Meinel, 2007; Sun and Zhao, 2009; Liu et al., 2010; Kechaou et al., 2011). The generated data by educational environments, specifically the data generated by the e-learning platforms, are important sources of information for decision support and improvement of the TL. The improvements can be reached from the students’ data analysis through of their behavior, satisfaction, and performance. The objectives are always addressed to the expansion and advancement of the educational horizons, in order to contribute to the evolution of the educational process. |