Indexing Serious Games to Meet Adaptive E-Learning System Needs

Author(s):  
Yassine El Borji ◽  
Mohammed Khaldi

This chapter aims to strengthen the integration of serious games in the educational field by providing tools to monitor and assist the progress of learners/players. The main idea is to address the integration aspects and the deployment of serious games in adaptive e-learning systems based on the automatic package and the export of serious games as reusable learning objects (LO). This integration will allow SGs to benefit from the tracking and support features offered by the LMS. On the other hand, LMS can supplement their training offer and reach a certain maturity. The approach aims to meet the specific needs of SGs in terms of metadata so that they can be described, indexed, and capitalized. This is a new application profile of the IEEE LOM standard entitled “SGLOM” integrating fields to describe SGs not only in a technical sense but also by examining the pedagogical and playful criteria. The authors also focus on the integration and extraction aspects of SGs in an LMS using the ADL SCORM 2004 data model that defines how content can be packaged as a SCORM PIF (package interchange file).

2022 ◽  
pp. 1011-1032
Author(s):  
Yassine El Borji ◽  
Mohammed Khaldi

This chapter aims to strengthen the integration of serious games in the educational field by providing tools to monitor and assist the progress of learners/players. The main idea is to address the integration aspects and the deployment of serious games in adaptive e-learning systems based on the automatic package and the export of serious games as reusable learning objects (LO). This integration will allow SGs to benefit from the tracking and support features offered by the LMS. On the other hand, LMS can supplement their training offer and reach a certain maturity. The approach aims to meet the specific needs of SGs in terms of metadata so that they can be described, indexed, and capitalized. This is a new application profile of the IEEE LOM standard entitled “SGLOM” integrating fields to describe SGs not only in a technical sense but also by examining the pedagogical and playful criteria. The authors also focus on the integration and extraction aspects of SGs in an LMS using the ADL SCORM 2004 data model that defines how content can be packaged as a SCORM PIF (package interchange file).


2021 ◽  
Vol 11 (1) ◽  
pp. 6637-6644
Author(s):  
H. El Fazazi ◽  
M. Elgarej ◽  
M. Qbadou ◽  
K. Mansouri

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems can enhance the learning process quality by customizing the contents to students’ needs. The agents in these systems collaborate to provide a personalized learning experience. In this paper, a design of an adaptative e-learning system based on a multi-agent approach and reinforcement learning is presented. The main objective of this system is the recommendation to the students of a learning path that meets their characteristics and preferences using the Q-learning algorithm. The proposed system is focused on three principal characteristics, the learning style according to the Felder-Silverman learning style model, the knowledge level, and the student's possible disabilities. Three types of disabilities were taken into account, namely hearing impairments, visual impairments, and dyslexia. The system will be able to provide the students with a sequence of learning objects that matches their profiles for a personalized learning experience.


Author(s):  
Jihad Chaker ◽  
Mohamed Khaldi

This chapter explains a new description of multimedia and intelligent learning objects. The authors mention the benefits of integrating multimedia content into e-learning. Then they develop the intelligent learning environments on the one hand and the pedagogical objects on the other hand. Then, they fix the new elements of their application profile; the latter is crowned with a semantic description in the form of an ontology. Finally, they detail the generation components of multimedia and intelligent learning objects.


Author(s):  
Hanaa Abdulraheem Yamani

The current paper aims to introduce a proposed framework for gamification in the e-learning system at Saudi Arabia universities, by reviewing and analyzing the concept of gamification and its components, and types of players, as well as conditions for designing successful gamification, and the technical capabilities of Saudi Arabia universities, and also by reviewing and analyzing many designing models for gamification and e-learning systems that were introduced by the other researchers. Then incorporate all of these previous considerations into the general stages of instructional design, which is represented in analysis, design, development, implementation, and evaluation. The paper also deals with a review of the difference between gamification, games, and game-based learning, in addition to the benefits for students from employing gamification in the e-learning system.


2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.


2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.


Author(s):  
Francisco J. García ◽  
Adriana J. Berlanga ◽  
Maria N. Moreno ◽  
Javier García ◽  
Jorge Carabias

2020 ◽  
Vol 3 (8) ◽  
pp. 45-53
Author(s):  
Mārtiņš Spridzāns ◽  
Jans Pavlovičs ◽  
Diāna Soboļeva

Efficient use of educational technology and digital learning possibilities has always been the strategic area of high importance in border guards training at the State Border Guard College of Latvia. Recently, issues related to training during the Covid-19, have spurred and revived the discussion, topicality and practical need to use the potential of e-learning opportunities which brought up unexpected, additional, previously unsolved, unexplored, challenges and tasks to border guards training. New opportunities and challenges for trainers, learners and administration of training process both in online communication and learning administration contexts. In order to find out and define further e-learning development possibilities at the State Border Guard College the authors of this research explore the scientific literature on the current research findings, methodologies, approaches on developing interactive e-learning systems in educational contexts, particularly within the sphere of law enforcement. Based on scientific literature research findings authors put forward suggestions on improving the e-learning systems for border guards training.


Author(s):  
Yuliana Prativi ◽  
Muhammad Zaenuri

Online learning is a learning via internet without meeting face-to-face between teachers and students. This online learning system is relatively new, therefore teachers and students should adapt quickly. This study aims to determine the online Arabic learning system during the COVID-19 pandemic at Madrasah Tsanawiyah Negeri (MTsN) 1 Surakarta. Researcher used a qualitative approach and observation, interview, and documentation as data collection techniques. The results described that e-learning madrasah was used as the main media for online Arabic learning at MTsN 1 Surakarta during the covid-19 pandemic, then assisted by Whatsapp and Youtube channel. The subject matter was presented in video, powerpoint, and pdf. The learning stages were divided into three: preparation, implementation (pre-activities, whilst-activities and post-activities), and evaluation stage. This online learning helps teachers to coordinate with and supervise students easily, on the other hand, it is difficult for them to monitor the students’ understanding and bad internet network make some students could not follow the learning process in time. 


2020 ◽  
Vol 28 ◽  
pp. 420-435
Author(s):  
Alessandro Da Silveira Dias ◽  
Leandro Krug Wives

In this paper, we review the definition of the learner choices from the Learner-driven Learning paradigm for e-learning systems. After this, we analyze how different categories of e-learning systems enable the user to make these choices, such as Serious Games. We present in detail how AdaptWeb platform makes available these choices to learner users. Additionally, we present a satisfaction survey performed after an online course on AdaptWeb platform. The survey questions were about making choices during learning and about the way AdaptWeb makes the choices available to learner-users. Summarizing the results, students enjoyed being able to make choices about their own learning and felt that this possibility was beneficial to their learning. Moreover, they liked the way AdaptWeb makes the choices available to students. Most of the students found the system easy to use, intuitive, and the student's choices were explicit and easy to take.


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