scholarly journals Facebook Integrated Chatbot for Bulgarian Language Aiding Learning Content Delivery

TEM Journal ◽  
2021 ◽  
pp. 1011-1015
Author(s):  
George Pashev ◽  
Silvia Gaftandzhieva

The paper presents a chatbot oriented linguistic approach and a software prototype which addresses the need of delivering learning content based on queries in Bulgarian language. Two distinct database query generation approaches are presented, discussed and implemented. Pros and cons for each of them are discussed.

Author(s):  
S. R. Mangalwede ◽  
D. H. Rao

The e-Learning refers to the use of networking technologies to create, foster, deliver and facilitate learning anytime, anywhere. This chapter discusses our research on personalization of e-Learning content based on the learner’s profile. After justifying the feasibility of using mobile agents in distributed computing systems for information retrieval, processing and mining, the authors deal with the relevance of mobile agents in e-Learning domain. The chapter discusses the proposed Case-Based Reasoning (CBR) as an approach to context-aware adaptive content delivery. Different parameters like technological, cultural and educational background of a learner are taken as the basis for forming the case-base that determines the type of content to be delivered. Along with the CBR, a diagnostic assessment to gauge an insight into the student’s current skills is done to determine the type of content to deliver. The implementation observations of such implementation vis-à-vis traditional e-Learning are also documented.


2016 ◽  
Vol 13 (2) ◽  
pp. 493-514
Author(s):  
Milos Milutinovic ◽  
Zivko Bojovic ◽  
Aleksandra Labus ◽  
Zorica Bogdanovic ◽  
Marijana Despotovic-Zrakic

Adaptivity is an essential quality for any mobile learning process. When learning on the move, in short time intervals, the learning process is often limited, and content needs to be adapted in order to keep the interactions with the user simple, effective, and motivating. This paper presents a model for mobile adaptive language learning, with the main goal of improving the mobile language learning process using adaptive techniques. The presented model is designed in such a way to utilize unique opportunities for delivery of learning content in authentic learning situations. In order to allow adaptivity based on several parameters, an ontological framework is presented along with a format of lightweight learning objects for content delivery. A cloud and web-service based system for adaptation is envisioned on top of the ontological framework and presented, with some implementation suggestions and possibilities discussed.


Author(s):  
Tim de Jong ◽  
Alba Fuertes ◽  
Tally Schmeits ◽  
Marcus Specht

This chapter describes a multi-platform extension of learning networks. In addition to Web- and desktopbased access, the authors propose to provide mobile, contextualised learning content delivery, and creation. The extension to a multi-platform extension is portrayed as follows. First, the authors give a description of learning networks, the kind of learning focused at, and the mechanisms that are used for learner support. After that, they illustrate a possible extension to contextualised, more authentic forms of learning mediated by mobile devices. Moreover, they give some requirements for a multi-platform learning network system and describe a technical framework integrating contextualised media with learning networks. Two blended learning scenarios are given as examples of how the extended system could be used in practice. Last, the conclusions and outlook describe what is necessary to integrate multi-platform e-learning software in existing learning scenarios, and how a larger-scale adaptation can be achieved.


The advancement in Information and Communication Technologies (ICTs) has brought opportunities for the development of Smart Cities. The Smart City uses ICT to enhance performance and wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. In particular, the education sector is adopting new ways of learning in Higher Education Institutions (HEIs) through e-learning systems. While these opportunities exist, e-learning content delivery and accessibility in third world countries like Tanzania is still a challenge due to resource and network constrained environments. The challenges include: high cost of bandwidth connection and usage; high dependency on the Internet; limited mobility and portability features; inaccessibility during the offline period and shortage of ICT facilities. In this paper, we investigate the use of mobile technology to sustainably support education and skills development particularly in developing countries. Specifically, we propose a Cost-effective Mobile Based Learning Content Delivery system for resource and network constrained environments. This system can be applied to cost-effectively broaden and support education in many cities around the world, which are approaching the 'Smart City' concept in their own way, even with less available technology infrastructure. Therefore, the proposed solution has the potential to reduce the cost of the bandwidth usage, and cut down the server workload and the Internet usage overhead by synchronizing learning contents from some remote server to a local database in the user’s device for offline use. It will also improve the quality of experience and participation of learners as well as facilitate mobility and portability in learning activities, which also supports the all-compassing learning experience in a Smart City.


Author(s):  
Ty Mey Eap ◽  
Dragan Gasevic ◽  
N.A. Kinshuk ◽  
Fuhua (Oscar) Lin

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