scholarly journals Agent-based adaptive e-learning model for any learning management system

Author(s):  
George Wamamu Musumba ◽  
Robert O. Oboko ◽  
Henry O. Nyongesa

Many scholars are interested in improving e-learning in order to provide easy access to educational materials. There is, however, the need to incorporate the ability to classify learners into these learning systems. Learner classification is used adaptively to provide relevant information for the various categories of learners. There is also a need for learning to continue, whether learners are on- or off-line. In many parts of the world, especially in the developing world, most people do not have reliable continuous internet connections. We tested an Adaptive e-Learning Model prototype that implements an adaptive presentation of course content under conditions of intermittent Internet connections. This prototype was tested in February 2011 on undergraduate students studying a database systems course. This study found out that it is possible to have models that can adapt to characteristics such as the learner’s level of knowledge and that it is possible for learners to be able to study under both  on- and off-line modes through adaptation.

2020 ◽  
Vol 14 (1) ◽  
pp. 120-132 ◽  
Author(s):  
Azher Hameed Qamar

Using my own teaching experience in quarantined-at-home settings, I describe and reflect on my e-learning plan and its implementation. I am teaching two groups of undergraduate students consisting of 80 students. I have taught half of the course content during the first half of the semester in a formal university setting. However, after the novel corona breakout, we are engaged in online teaching. In line with university guidelines and available support, I initiated my e-learning plan based on blended learning and led by the core objectives to maintain accessibility and quality. Using asynchronous and synchronous modes I used common and easily available options to enhance two-way teacher-student communication. The feedback that I received after three weeks of implementation of my e-learning plan proved my understanding of the study context as workable and realistic. My conceptual models about the objectives leading the e-learning plan and the implementation model presented in this article can be helpful for the teachers teaching social sciences for the first time in ‘quarantined’ settings. 


Author(s):  
Lejla Turulja ◽  
Amra Kapo ◽  
Merima Činjarević

This study examines student engagement in an online environment concerning the perception regarding the course and the technology used. A research model was developed from the principal tenets of the expectancy-value theory to which values and expectations are assumed to influence how students build engagement. The model conjoins student perception related to course factors (content and rigor), technology factor (technology convenience), and student engagement (psychological, cognitive, emotional, and behavioral). The model was tested using a sample composed of 328 business undergraduate students taking the courses online using the BigBlueButton e-learning system due to the global emergency caused by the COVID-19 pandemic. Hence, respondents did not voluntarily choose the online teaching delivery method. The results imply that both course content and perceived technology convenience predict overall student engagement, while course rigor influences student cognitive, emotional, and behavioral commitment, but not psychological engagement.


Author(s):  
Ni’mat Rababa

This research aims to investigate the impact of adopting e-learning in an attempt to enhance higher thinking skills among students at the University of Jordan. In addition, we examine the relationship between e-learning and higher thinking skills and identify the effect of e-learning on higher thinking skills at the University of Jordan. The study examines the effect of using e-learning effectiveness and its effect on developing higher students’ thinking skills at the university level. The study also focuses on intellectual education for high-level thinking and the impact of the e-learning environment on a group of students at the University of Jordan. The target community for this study is undergraduate students at the University of Jordan, in Amman, Jordan. The resulted sample consists of 45 students. During the experiment, two research tools were used to analyze the relationship between the independent and dependent variables. The quantitative data are collected from the students’ perception analyzed using some statistical tests. The results of the research indicate that students could be helped to enhance higher-order thinking skills and maybe enriched by integrating an e-learning model into teaching and learning. There is also a positive relationship between e-learning and higher thinking skills at the University of Jordan. The experimental results of this study indicate several results, as the adoption of the e-learning model led to a significant improvement in the higher thinking skills of students. The e-learning model can remove many social and cultural barriers.


2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Elia Zakharia ◽  
Djoko Budiyanto Setyohadi ◽  
Y. Sigit Purnomo W. P.

E-learning model can be developed into various forms according to the context of development. All of e-learning model aims to support learning process. The main objective of this study was to design online course interface that runs in mobile device using the theory of usability ISO 9241-11 in UAJY (Universitas Atma Jaya Yogyakarta). Data was collected from 55 undergraduate students of UAJY. It is used as initial state in design process. Furthermore, online course interface design created with use case diagram that adapted to activities of HTA. Nevertheless, in the design process components of interface created by the user persona and mobile device pattern, as well as guided by MGQM, which is also adapted to the limitations of this study and the conditions in UAJY. In addition, using log data collection to handle part of MGQM, which related with time, steps, resources.


1993 ◽  
Vol 32 (04) ◽  
pp. 265-268 ◽  
Author(s):  
D. J. Essin

AbstractLoosely structured documents can capture more relevant information about medical events than is possible using today’s popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.


Author(s):  
Biyun Hong ◽  
◽  
Min-Yuan Ma ◽  
Yueshuang Lou ◽  
◽  
...  

Author(s):  
Oluyinka Titilope Afolayan

The availability and use of e-learning resources in the acquisition and transfer of knowledge have been observed as a steering agent that facilitates the realization of major educational benefits in a developing economy. This study investigated the availability, accessibility, and use of e-learning tools by undergraduate students in the University of Ilorin, Nigeria, including the challenges limiting the full exploitation of e-learning resources for optimal usage and efficient e-service delivery. The methodology adopted for this research was purely survey design using the questionnaire approach as the main instrument for data collection. From the findings, limited availability, accessibility and usage of e-learning resources by the undergraduate students were revealed. The findings further showed that the major challenges hindering the effective use of e-learning resources amongst University of Ilorin students include lack of sophisticated e-learning resources such as teleconferencing, video conferencing, virtual classroom among others and high cost in the procurement of facilities that support e-learning. Based on these findings, recommendations are made towards addressing the challenges encountered by students in the utilization of e-learning resources in higher institutions of learning.


2017 ◽  
Vol 46 (2) ◽  
pp. 207-224
Author(s):  
Ge Zhang ◽  
Wenwen Zhang ◽  
Subhrajit Guhathakurta ◽  
Nisha Botchwey

Open data have come of age with many cities, states, and other jurisdictions joining the open data movement by offering relevant information about their communities for free and easy access to the public. Despite the growing volume of open data, their use has been limited in planning scholarship and practice. The bottleneck is often the format in which the data are available and the organization of such data, which may be difficult to incorporate in existing analytical tools. The overall goal of this research is to develop an open data-based community planning support system that can collect related open data, analyze the data for specific objectives, and visualize the results to improve usability. To accomplish this goal, this study undertakes three research tasks. First, it describes the current state of open data analysis efforts in the community planning field. Second, it examines the challenges analysts experience when using open data in planning analysis. Third, it develops a new flow-based planning support system for examining neighborhood quality of life and health for the City of Atlanta as a prototype, which addresses many of these open data challenges.


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