Learning and Playing get Personal

Developments in information technology are finding new applications in teaching, and these “e-learning” approaches are having a significant impact on the way people learn and play. Since e-learning, which includes different types of learning and can be applied to a variety of situations, offers many benefits for students, it is increasingly being embraced in both academic and corporate teaching settings. The market for e-learning has seen remarkable growth as e-learning has been applied in various ways to education in primary and secondary schools, institutions of higher learning, and workplace settings. E-learning approaches are even beginning to affect the way we play, and there is potential for online gaming platforms as new e-learning tools. The remarkable growth of e-learning is no surprise, however, since in the case of both learning and play, e-learning breaks down long-standing barriers.

2018 ◽  
pp. 2274-2287
Author(s):  
Utku Kose

With the outstanding improvements in technology, the number of e-learning applications has increased greatly. This increment is associated with awareness levels of educational institutions on the related improvements and the power of communication and computer technologies to ensure effective and efficient teaching and learning experiences for teachers and students. Consequently, there is a technological flow that changes the standards of e-learning processes and provides better ways to obtain desired educational objectives. When we consider today's widely used technological factors, Web-based e-learning approaches have a special role in directing the educational standards. Improvements among m-learning applications and the popularity of the Artificial Intelligence usage for educational works have given great momentum to this orientation. In this sense, this chapter provides some ideas on the future of intelligent Web-based e-learning applications by thinking on the current status of the literature. As it is known, current trends in developing Artificial Intelligence-supported e-learning tools continue to shape the future of e-learning. Therefore, it is an important approach to focus on the future. The author thinks that the chapter will be a brief but effective enough reference for similar works, which focus on the future of Artificial Intelligence-supported distance education and e-learning.


2011 ◽  
pp. 313-325
Author(s):  
Klaus Jantke ◽  
Christoph Igel ◽  
Roberta Sturm

Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most current IT systems appear as more or less complex tools. The more ambitious the problems in the application domain are, the more complex are the tools. This is one of the key obstacles to a wider acceptance of technology enhanced learning approaches (e-learning, for short). In computer science, in general, and in e-learning, in particular, we do need a paradigmatic shift from tools of a growing complexity to intelligent assistants to the human user. Computerized assistants that are able to adapt to their human users’ needs and desires need some ability to learn. In e-learning, in particular, they need to learn about the learner and to build an internal model of the learner as a basis of adaptive system behavior. Steps toward assistance in e-learning are systematically illustrated by means of the authors’ e-learning projects and systems eBuT and DaMiT. These steps are summarized in some process model proposed to the e-learning community.


2007 ◽  
pp. 212-231 ◽  
Author(s):  
Klaus Jantke ◽  
Christoph Igel ◽  
Roberta Sturm

Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most current IT systems appear as more or less complex tools. The more ambitious the problems in the application domain are, the more complex are the tools. This is one of the key obstacles to a wider acceptance of technology enhanced learning approaches (e-learning, for short). In computer science, in general, and in e-learning, in particular, we do need a paradigmatic shift from tools of a growing complexity to intelligent assistants to the human user. Computerized assistants that are able to adapt to their human users’ needs and desires need some ability to learn. In e-learning, in particular, they need to learn about the learner and to build an internal model of the learner as a basis of adaptive system behavior. Steps toward assistance in e-learning are systematically illustrated by means of the authors’ e-learning projects and systems eBuT and DaMiT. These steps are summarized in some process model proposed to the e-learning community.


Author(s):  
William A. Janvier ◽  
Claude Ghaoui

HCI-related subjects need to be considered to make e-learning more effective; examples of such subjects are: psychology, sociology, cognitive science, ergonomics, computer science, software engineering, users, design, usability evaluation, learning styles, teaching styles, communication preference, personality types, and neuro-linguistic programming language patterns. This article discusses the way some components of HI can be introduced to increase the effectiveness of e-learning by using an intuitive interactive e-learning tool that incorporates communication preference (CP), specific learning styles (LS), neurolinguistic programming (NLP) language patterns, and subliminal text messaging. The article starts by looking at the current state of distance learning tools (DLTs), intelligent tutoring systems (ITS) and “the way we learn”. It then discusses HI and shows how this was implemented to enhance the learning experience.


Author(s):  
Molly Eckman ◽  
Ellie Kriner ◽  
Khanjan Mehta ◽  
Kevin Prucino ◽  
Meng Lian ◽  
...  

Universities and other institutions of higher learning have seen an increase in the number of academic programs that involve engagement with external communities, especially in the developing world. These programs may include travel abroad, community service, or the design and commercialization of new products. Despite this growth, many faculty and program leaders remain unaware of the legal concerns and challenges that might arise on these types of activities. This article informs faculty on the legal nuances relevant to different types of academic engagement programs. Representative examples of each type of program are used to illustrate legal concerns that may arise, and compromise academic engagement programs.


Author(s):  
Andrew Sija

<p>E-learning is playing very important role in the present educational scenario. It has potential to change the whole education system and due to this reason, it has become one of the most preferred subjects for the researchers and scholars working on the various aspects of e-learning. This study is looking into various research works on e-learning for IPTS (Private Institutions of Higher Learning) in Sarawak. The principle objectives of this research includes to examine the suitable research model describing on the methods that shows the motivation in e-learning, (ii) to identify the suitable type of learning in higher education and (iii) to investigate the problems and challenges of implementing e-learning in Private Institute of Higher Learning Sarawak. This study therefore examined the prime factors of two selected IPTS in Sarawak (Saujana Academy of Travel and Tour (SATT) and IBS College (formerly known as Institute BREM Sarawak) in implementing an E-learning and the relations between each influencing factors of acceptance in E-Learning in the University/Colleges by adopting the two basic types of learning which were Computer Based Learning and Internet Based Learning as proposed by Algahtani, 2011. The resulting analysis and interpretation provided a description of the performance of E-Learning influenced by the variables which were the engagement of E-Learning, facilities and computer literacy. The qualitative method in this study derived from a constructive perspective involving in-depth face to face interview with the respondents. The outcome of this study depicted that the influence of internet connectivity and computer-based knowledge equipped the E-Learning implementation and discovered of the advantages and disadvantages of E-Learning in education industry. Based on the findings, three primary variables identified with supporting factors emerged as the critical components categories in this study and these categories represent a conceptual framework for solving E-Learning issues.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0620/a.php" alt="Hit counter" /></p>


2011 ◽  
pp. 18-33
Author(s):  
Leah Herner-Patnode ◽  
Hea-Jin Lee ◽  
Eun-ok Baek

The number of learning opportunities that are technology mediated (E-learning) is increasing as institutions of higher learning discover the value of technology in reaching larger numbers of students. The challenge for those instructors who implement such technology in higher education is to correctly apply pedagogy that has been successful in student learning to these new delivery methods. In some cases new pedagogy is being created. For successful facilitation of knowledge to take place, instructors must make students partners in the process, help them learn to reflect about their activities, and focus on course outcomes rather than the technology itself. We will share key E-learning pedagogy from different areas of specialty (mathematics education, special education, and instructional technology) in higher education.


Author(s):  
Utku Kose

With the outstanding improvements in technology, the number of e-learning applications has increased greatly. This increment is associated with awareness levels of educational institutions on the related improvements and the power of communication and computer technologies to ensure effective and efficient teaching and learning experiences for teachers and students. Consequently, there is a technological flow that changes the standards of e-learning processes and provides better ways to obtain desired educational objectives. When we consider today's widely used technological factors, Web-based e-learning approaches have a special role in directing the educational standards. Improvements among m-learning applications and the popularity of the Artificial Intelligence usage for educational works have given great momentum to this orientation. In this sense, this chapter provides some ideas on the future of intelligent Web-based e-learning applications by thinking on the current status of the literature. As it is known, current trends in developing Artificial Intelligence-supported e-learning tools continue to shape the future of e-learning. Therefore, it is an important approach to focus on the future. The author thinks that the chapter will be a brief but effective enough reference for similar works, which focus on the future of Artificial Intelligence-supported distance education and e-learning.


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