scholarly journals Gamification of learning activities with the Odin service

2016 ◽  
Vol 13 (3) ◽  
pp. 809-826 ◽  
Author(s):  
José Paiva ◽  
José Leal ◽  
Ricardo Queirós
Keyword(s):  
Formative Assessment ◽  
System Architecture ◽  
Management System ◽  
Learning System ◽  
Learning Activities ◽  
Learning Tools ◽  
Hybrid Courses ◽  
Learning Game ◽  
Learning System Architecture ◽  
E Learning

Existing gamification services have features that preclude their use by e-learning tools. Odin is a gamification service that mimics the API of state-of-theart services without these limitations. This paper presents Odin as a gamification service for learning activities, describes its role in an e-learning system architecture requiring gamification, and details its implementation. The validation of Odin involved the creation of a small e-learning game, integrated in a Learning Management System (LMS) using the Learning Tools Interoperability (LTI) specification. Odin was also integrated in an e-learning tool that provides formative assessment in online and hybrid courses in an adaptive and engaging way.

scholarly journals ARTIFICIAL INTELLIGENCE INFLUENCE IN EDUCATION 4.0 TO ARCHITECTURE CLOUD BASED E-LEARNING SYSTEM

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Purwono Hendradi
Keyword(s):  
System Architecture ◽  
Learning System ◽  
Application Layer ◽  
Artificial Intelligent ◽  
Business Application ◽  
Learning System Architecture ◽  
E Learning ◽  
Education Today ◽  
System Architecture Design

Business Application Layer in the Architecture of E-learning cloud is an important part, because it is the part that differentiates it from the application of cloud in other fields. The development of education today recognizes the term Education 4.0 which is an adaptation of the Industrial era 4.0 where in this era the role of Artificial Intelligent is important. In this paper the author will review a part of the cloud-based architecture of E-Learning which will correspond with Education 4.0. The aim will be to produce a Cloud-Based E-learning system Architecture design that can be used as a guideline in the direction of Education 4.0.

scholarly journals Identifying the Weaknesses of Formative Assessment in the e-Learning Management System

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Hamed Abbasi Kasani ◽  
Gholamreza Shams Mourkani ◽  
Farhad Seraji ◽  
Hojjat Abedi
Keyword(s):  
Formative Assessment ◽  
Management System ◽  
Learning Management System ◽  
Learning System ◽  
Assessment Tools ◽  
Structured Interviews ◽  
The Status ◽  
Data Content ◽  
E Learning ◽  
Learning Management

Background: Assessment is one of the most important elements of any educational system, including the e-learning. Formative assessment is also a significant type of assessment, which plays a very important role in identifying students’ strengths and weaknesses and helping to improve learning in the e-learning system. Objectives: The purpose of this study was to identify weaknesses of formative assessment in the e-learning management system of Iran (case study: Shahid Beheshti University). Methods: The present study was qualitative research. The participants of the study consisted of the students of the e-learning Center of Shahid Beheshti University of Iran, 15 of whom were selected using a purposive sampling method. Semi-structured interviews were used to collect data. Content analysis was also used to analyze the data. Results: Formative assessment in the e-learning management system of Shahid Beheshti University suffers from eleven substantial weaknesses: weakness in technology infrastructure resources, not using other formative assessment tools, weakness in giving and receiving feedback, inability to authenticate, weakness in class presentations, weakness in exercises and projects, weakness in online tests, weakness in discussions, inattention to formative assessment, restrictions on uploading assignments and activities, and observance of the ratio of teachers to students. Conclusions: The above weaknesses should be taken into consideration for the improvement of formative assessment, student learning, and the status quo.

scholarly journals Personalized E-Learning System Architecture Using Data Mining Approach

2018 ◽  
Author(s):  
Samina Kausar ◽  
Huahu Xu ◽  
Iftikhar Hussain ◽  
Wenhau Zhu ◽  
Misha Zahid
Keyword(s):  
Data Mining ◽  
System Architecture ◽  
Educational Data Mining ◽  
Learning System ◽  
Data Mining Techniques ◽  
Learning Capabilities ◽  
Learning System Architecture ◽  
E Learning ◽  
Hidden Patterns ◽  
Using Data

Educational data mining is an emerging discipline that focuses on development of self-learning and adaptive methods. It is used for finding hidden patterns or intrinsic structures of educational data. In the field of education, the heterogeneous data is involved and continuously growing in the paradigm of big data. To extract meaningful knowledge adaptively from big educational data, some specific data mining techniques are needed. This paper presents a personalized e-learning system architecture which detects and responds teaching contents according to the students’ learning capabilities. Furthermore, the clustering approach is also presented to partition the students into different groups based on their learning behavior. The primary objective includes the discovery of optimal settings, in which learners can improve their learning capabilities to boost up their outcomes. Moreover, the administration can find essential hidden patterns to bring the effective reforms in the existing system. The various clustering methods K-means, Clustering by Fast Search and Finding of Density Peaks (CFSFDP), and CFSFDP via Heat Diffusion (CFSFDP-HD) are also analyzed using educational data mining. It is observed that more robust results can be achieved by the replacement of K-means with CFSFDP and CFSFDP-HD. The proposed e-learning system using data mining techniques is vigorous compared to typical e-learning systems. The data mining techniques are equally effective to analyze the big data to make education systems robust.

ANALYSIS OF STUDENT ACTIVITIES ON COMPUTER - A STUDY ON PUNJAB UNIVERSITY, INDIA

2012 ◽  
Vol 3 (3) ◽  
pp. 354-358
Author(s):  
Dr Gunmala Suri ◽  
Sneha Sharma
Keyword(s):  
Learning Activities ◽  
Information Collection ◽  
Learning Tools ◽  
Student Activities ◽  
Group Activities ◽  
E Learning ◽  
Faculty Department ◽  
Self Learning

The purpose of this research is to investigate and understand how students are using computer. The activities that a student undertakes with the help of computers which might be fulfilling some academic or non academic purpose, is of great interest. It will help in understanding the limitations and potentials offered by the technology for use of computer in classroom. This paper brings out the three major kinds of activities that students undertake with computer; self learning activities, Information collection tasks and communication and group activities. The study further analyses the effect of demographics i.e. gender, age and faculty (department) of students on the activities with computer. The results show that gender has no impact on the activities of students with computer. The age impacts only the activities related to Information collection by using computer where as the faculty of student significantly impacts all the activities viz. self learning activities, Information collection tasks and communication and group activities. The findings from this research can be used in designing future e-learning initiatives and development e-learning tools

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