Optimization Scenarios for Open Source Software Used in E-Learning Activities

Author(s):  
Utku Köse

Using open software in e-learning application is one of the most popular ways of improving effectiveness of e-learning-based processes without thinking about additional costs and even focusing on modifying the software according to needs. Because of that, it is important to have an idea about what is needed while using an e-learning-oriented open software system and how to deal with its source codes. At this point, it is a good option to add some additional features and functions to make the open source software more intelligent and practical to make both teaching-learning experiences during e-learning processes. In this context, the objective of this chapter is to discuss some possible applications of artificial intelligence to include optimization processes within open source software systems used in e-learning activities. In detail, the chapter focuses more on using swarm intelligence and machine learning techniques for this aim and expresses some theoretical views for improving the effectiveness of such software for a better e-learning experience.

Author(s):  
Utku Köse

Using open software in e-learning application is one of the most popular ways of improving effectiveness of e-learning-based processes without thinking about additional costs and even focusing on modifying the software according to needs. Because of that, it is important to have an idea about what is needed while using an e-learning-oriented open software system and how to deal with its source codes. At this point, it is a good option to add some additional features and functions to make the open source software more intelligent and practical to make both teaching-learning experiences during e-learning processes. In this context, the objective of this chapter is to discuss some possible applications of artificial intelligence to include optimization processes within open source software systems used in e-learning activities. In detail, the chapter focuses more on using swarm intelligence and machine learning techniques for this aim and expresses some theoretical views for improving the effectiveness of such software for a better e-learning experience.


2014 ◽  
Vol 5 (2) ◽  
pp. 55-75 ◽  
Author(s):  
Utku Kose

Objective of this article is to provide a brief view on current state of free and open source E-Learning 2.0 software, and discuss about future in the context of free and open source software oriented E-Learning solutions. E-Learning 2.0 is a term, which is used to define E-Learning solutions combining the usage of Web 2.0 technologies, and the related E-Learning aspects, which are widely employed in educational processes. Because it is a current form of E-Learning activities, E-Learning 2.0 and leading free and open source software have been examined briefly under this work; in order to have idea about literature, and the latest developments. Furthermore, some ideas on future of free and open source E-Learning software are also expressed by thinking about potential versions of E-Learning such as E-Learning 3.0, and E-Learning 4.0.


2021 ◽  
Vol 11 (12) ◽  
pp. 5690
Author(s):  
Mamdouh Alenezi

The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.


Author(s):  
Daniel Chavarría-Bolaños ◽  
Adrián Gómez-Fernández ◽  
Carmen Dittel-Jiménez ◽  
Mauricio Montero-Aguilar

While countries are facing different stages in their COVID-19 infection rates, worldwide there are millions of students affected by universities’ facilities closures due to the pandemic. Some institutions have enforced strategies to transfer some courses to a virtual modality, but many Dental Schools have been challenged to deal with a situation which requires emergency measures to continue the academic course in the middle of lock-downs and social distancing measures. Despite the fact that the number of online academic programs available, especially graduate programs, has increased in diverse modalities, this pandemic forced e-learning processes to develop abruptly. The likelihood of using e-learning strategies in dentistry was substantiated in the scientific literature and an overview of these opportunities is presented. Additionally, the experience of the University of Costa Rica Faculty of Dentistry is presented, as it was evident that some of the key elements in a e-learning environment needed a quick enhancement and initiation of some processes was required. First, it was necessary to categorize the academic courses depending on their virtualization's possibility (curricula analysis and classification), to better understand the extent of the impact and the work needed to contain, as far as the possibilities allowed, negative consequences on students learning process. Second, teachers needed further training in the application of virtual strategies which they hadn’t used before. do Third, an evaluation of the students’ conditions and needs was conducted in a form of a survey. Finally, teachers and students activated the available virtual platforms. For many Dental Schools, this virtualization process is an ongoing progress although it was abruptly imposed, but this moment indeed represents an enormous opportunity to move forward and get immerse in the virtualization environment as a teaching/learning experience.


2021 ◽  
Author(s):  
Claudia Slimings ◽  
Emily Sisson ◽  
Connor Larson ◽  
Devin Bowles ◽  
Rafat Hussain

Background: The future health workforce needs to be equipped with the knowledge, skills, and motivation to deliver sustainable healthcare and promote planetary health. The aim of this study was to design, implement and evaluate a new suite of planetary health learning activities piloted by medical students for a range of medical professionals. Methods: The study consisted of three components: curriculum mapping, development of learning activities and evaluation. Curriculum mapping involved searching program learning outcomes using relevant search terms. Two learning activities were co-developed with medical students comprising of an e-learning component and an inquiry-based small group workshop presented to 99 2nd year students. Evaluation consisted of pre- and post-learning knowledge quizzes and a student feedback survey. Results: A total of 30 learning outcomes were identified with the majority located in the first two years of the four-year program. The overall evaluation response rate was 49.5%, and 19% completed the feedback survey. The mean pre- and post-lesson scores, respectively, were 7.09 (SD=1.84) and 9.53 (SD=1.69) out of a possible score of 12, increasing by 2.37 points on average (95% confidence interval [CI] 1.66-3.09). Overall, the new activities were rated as excellent/good by 84.2% of respondents. The e-learning module rated more highly as a meaningful learning experience than the workshop (89% v. 63.2%). The most common criticism was the length of time it took to complete the e-learning. Conclusion: Students already had a good understanding of planetary health facts and the e-learning lesson served to confirm, review and update their knowledge. Students embraced the opportunity to engage in interactive learning through the problem-solving group work activity. There is very little vertical alignment of environmental and climate issues across all four years of the medical program in our institution and a variety of learning approaches should be considered when revising the curriculum.


Author(s):  
Dilek Karahoca ◽  
Adem Karahoca ◽  
Ilker Yengin ◽  
Huseyin Uzunboylu

This chapter explains the developmental reasons and design to implementation cycles of the Computer Assisted Active Learning System (CALS) for History of Civilization (HOC) courses at Engineering Faculty of Bahcesehir University. Implementation purpose of CALS is to develop set of tools in a systematic way to enhance students’ critical thinking abilities for HOC courses. Dynamic meta-cognitive maps, movies, flash cards and quiz tools were developed. In order to reduce implementation costs of CALS, open Free and Open Source Software (FOSS) standards and platforms were utilized in the development and implementation cycles. This study also investigates the importance of the e-learning platform usage in HOC courses in Engineering Faculty of Bahcesehir University to improve the level of students. Results indicate that the concept based meta-cognitive tool improves learning instead of students just memorizing the class material. Also, engineering students improved their positive attitude towards who wants to learn the history of civilization by using CALS. This study shows that software helps to change human behavior in the learning cycle. This chapter highlights the implications of successful development of FOSS for the CALS.


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