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Article Citation - Scopus: 66Investigation of Emerging Trends in the E-Learning Field Using Latent Dirichlet Allocation(2021) Gurcan,F.; Ozyurt,O.; Cagiltay,N.E.E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning studies is critical for a deeper comprehension of the field. There are many studies that provide such a picture of the e-learning field, but the limitation is that they do not examine the field as a whole. This study aimed to investigate the emerging trends in the e-learning field by implementing a topic modeling analysis based on latent Dirichlet allocation (LDA) on 41,925 peer-reviewed journal articles published between 2000 and 2019. The analysis revealed 16 topics reflecting emerging trends and developments in the e-learning field. Among these, the topics “MOOC,” “learning assessment,” and “elearning systems” were found to be key topics in the field, with a consistently high volume. In addition, the topics of “learning algorithms,” “learning factors,” and “adaptive learning” were observed to have the highest overall acceleration, with the first two identified as having a higher acceleration in recent years. Going by these results, it is concluded that the next decade of e-learning studies will focus on learning factors and algorithms, which will possibly create a baseline for more individualized and adaptive mobile platforms. In other words, after a certain maturity level is reached by better understanding the learning process through these identified learning factors and algorithms, the next generation of e-learning systems will be built on individualized and adaptive learning environments. These insights could be useful for e-learning communities to improve their research efforts and their applications in the field accordingly. © 2021. International Review of Research in Open and Distance Learning. All Rights Reserved.Article Investigation of Emerging Trends in the E-Learning Field Using Latent Dirichlet Allocation(2021) Gurcan,F.; Ozyurt,O.; Cagiltay,N.E.E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning studies is critical for a deeper comprehension of the field. There are many studies that provide such a picture of the e-learning field, but the limitation is that they do not examine the field as a whole. This study aimed to investigate the emerging trends in the e-learning field by implementing a topic modeling analysis based on latent Dirichlet allocation (LDA) on 41,925 peer-reviewed journal articles published between 2000 and 2019. The analysis revealed 16 topics reflecting emerging trends and developments in the e-learning field. Among these, the topics “MOOC,” “learning assessment,” and “elearning systems” were found to be key topics in the field, with a consistently high volume. In addition, the topics of “learning algorithms,” “learning factors,” and “adaptive learning” were observed to have the highest overall acceleration, with the first two identified as having a higher acceleration in recent years. Going by these results, it is concluded that the next decade of e-learning studies will focus on learning factors and algorithms, which will possibly create a baseline for more individualized and adaptive mobile platforms. In other words, after a certain maturity level is reached by better understanding the learning process through these identified learning factors and algorithms, the next generation of e-learning systems will be built on individualized and adaptive learning environments. These insights could be useful for e-learning communities to improve their research efforts and their applications in the field accordingly. © 2021. International Review of Research in Open and Distance Learning. All Rights Reserved.Conference Object Citation - WoS: 9Citation - Scopus: 17The Integration of Distance Learning Via Internet and Face To Face Learning: Why Face To Face Learning Is Required in Distance Learning Via Internet?(Elsevier Science Bv, 2009) Marsap, A.; Narin, M.The distance learning via internet includes an important processing in many fields. The rate and the contribution of face to face learning on e-learning integrate important meanings in this learning process. Because of that reason distance learning is required to use mostly the facilities of face to face learning. Distance learning has a vital role in the process of e-learning's future. By the help of flexibility in e-learning, it includes consistently innovation and development in this approach. Nowadays, the strategy that is required for developing the quality and standards takes over the integration of academic standard, academic supervision and interaction of face to face learning in developing distance learning. It is important to design the academic approaches as a academically, scientifically and as a completion of the dynamic processes. E-learning models are based on the high quality, participation and productivity. By the help of productivity, moving the processes into the e-ambient and saving up the expenses, objectives of e-learning can reach to the level of the basics of modern e-learning. In this study, it is emphasized the importance of face to face learning on developing distance learning via internet for the e-learning environment. For this purpose, firstly it is pointed out the aim and the developing process of distance learning after that it is argued why face to face learning is required in distance learning and lastly it is determined the prudential suggestions and evaluations of this issue. (C) 2009 Elsevier Ltd. All rights reserved
