A Methodology for the Analysis of Block-Based Programming Languages Appropriate for Children

Kraleva, Radoslava; Kralev, Velin; Kostadinova, Dafina

doi:10.5626/jcse.2019.13.1.1

Cited by 17 publications

(11 citation statements)

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“…E-learning materials can be easily re-written or/and upgraded, and the student can quickly and easily get in touch with their teacher and get the help they need without being worried by their peers. More and more education ministries encourage teachers to use e-learning platforms to motivate their students [7]. Moreover, many of the universities and schools use LMS platforms to complement face-to-face learning.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Some Learning Management Systems

Kraleva¹,

Sabani²,

Kralev³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The use of modern information and communication technology as a means of training pupils and students has become a popular trend. For this purpose, a special type of web-based content management systems, called Learning Management Systems (LMSs), has been used. Due to their wide implemented, lots of LMSs have been developed in recent years. All those platforms often provide similar features and users can hardly choose the most appropriate for them. There is a variety of methodologies for the quality evaluations of e-learning in the scientific literature. However, there are no good explanations and detailed studies of most of the modern LMS platforms. This article proposes an analysis of the usability and software functionality of the LMS frameworks. Based on the survey of the state-of-art science research, the criteria for analysis of the LMS platforms in this paper are summarized in three categories: Learning skills tools, Communication tools, and Productivity tools. The main goal is to present a wide-range comparative analysis of 36 electronic learning management systems. All of them support the use of multimedia elements, creating and editing the lectures, exercises and course assignments. The lack of communication support leads to using web forums and social networks out of the LMS. The contribution of this paper presents an enriched modern trend of the software methodologies of the web-based oriented learning management systems from the perspective of design and development.

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Section: Introductionmentioning

confidence: 99%

An Analysis of Some Learning Management Systems

Kraleva¹,

Sabani²,

Kralev³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Rodríguez-García et al (2020) present a comparison of a few tools, whereas Hauck et al (2019) focus only on tools to develop Internet of Things and AI-based business ideas. Other reviews on visual languages in K-12 focus on teaching computational thinking, not covering ML (Hubwieser et al, 2015;Kraleva et al, 2019;Noone & Mooney, 2018;Weintrop & Wilensky, 2017). Reviews on teaching ML in K-12, such as Marques et al (2020) provide an overview of existing educational units, without analyzing in detail the adopted tools, and Long and Magerko (2020) focus on the definition of AI/ML literacy.…”

Section: Introductionmentioning

confidence: 99%

Visual tools for teaching machine learning in K-12: A ten-year systematic mapping

et al. 2021

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Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual languages for introducing algorithms and programming in K-12, we present a ten-year systematic mapping of emerging visual tools that support the teaching of Machine Learning at this educational stage and analyze the tools concerning their educational characteristics, support for the development of ML models as well as their deployment and how the tools have been developed and evaluated. As a result, we encountered 16 tools targeting students mostly as part of short duration extracurricular activities. Tools mainly support the interactive development of ML models for image recognition tasks using supervised learning covering basic steps of the ML process. Being integrated into popular block-based programming languages (primarily Scratch and App Inventor), they also support the deployment of the created ML models as part of games or mobile applications. Findings indicate that the tools can effectively leverage students’ understanding of Machine Learning, however, further studies regarding the design of the tools concerning educational aspects are required to better guide their effective adoption in schools and their enhancement to support the learning process more comprehensively.

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“…& Islam, Y. (2010), Kraleva, R., Kralev, V., Kostadinova, D. (2019)). Furthermore, some LMSs use machine learning concepts, automatic recognitions, social networking, and prediction of user preferences to automatically adapt their functionalities based on user requirements (Sheeba, T., & Krishnan, R. (2019), Narayan, V., Herrington, J., & Cochrane, T. (2019), Valova, I., & Marinov, M. (2019)).…”

Section: Introductionmentioning

confidence: 99%

E-Learning Management Systems- A Feature-based Comparative Analysis

Salah

Thabet

2021

JISTEM USP

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One of the main important resources for higher education is a Learning Management System (LMS), which has shown an enhancement of students' progress with high quality learning outcomes worldwide. Many e-learning tools exist, each one has its own weaknesses and strongest points to the online learning process. This number increases continuously, and the existing tools are being updated, redeveloped, and upgraded. The aim of this study is to present a comprehensive comparative analysis between existing e-learning management systems. Unlike other relevant studies that have narrow scope either in terms of the number of tools or the number of comparative features, this work considers top twenty, highly recommended tools, both open source and commercial. Furthermore, more than twenty evaluation features were used carefully to fulfil students' and instructors' current needs. The results of this study have shown that Moodle outperforms the others and it is considered as the best free open source tool for educational purposes. It supports more than 100 different languages and provides its services to more than tens of millions of customers worldwide. Besides to Moodle, Chamilo, TotaraLearn, Open edX and Sakai have more built-in features that provide services to educational institutions. Also, this study showed that Docebo, SkyPrep, ProProfs, SAP Litmos, Moodle, TotaraLearn, Open edX and Opigno systems have more built-in security mechanisms such as antispam, antivirus, IP Blocker, data protection and complex password enforcement. Most considered systems have gamification features except Schoology, ATutor, Sakai, and Ilias, and most commercial systems can offer 24/7 customer care services, except Edmodo and Telnet, whereas open source tools offer this service on specific time slots except Opigno, Ilias, TotaraLearn, Chamilo, and Canvas where the service is offered 24/7.

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A Methodology for the Analysis of Block-Based Programming Languages Appropriate for Children

Cited by 17 publications

References 0 publications

An Analysis of Some Learning Management Systems

An Analysis of Some Learning Management Systems

Visual tools for teaching machine learning in K-12: A ten-year systematic mapping

E-Learning Management Systems- A Feature-based Comparative Analysis

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