BIG DATA AND THE IMPACT ON E-LEARNING PLATFORM: A CASE STUDY

2016 ◽  
Author(s):  
Andrea Molinari ◽  
Paolo Bouquet
Keyword(s):  
Big Data ◽  
Learning Platform ◽  
E Learning ◽  
The Impact

scholarly journals Highlighting E‑learning Adoption Challenges using data Analysis Techniques: University of Kufa as a Case Study

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Ammar J. M. Karkar ◽  
Hayder K. Fatlawi ◽  
Ahmed A. Al-Jobouri
Keyword(s):  
Developing Countries ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning Platform ◽  
E Learning ◽  
Using Data ◽  
The Impact ◽  
Education Process

Electronic learning (e‑learning) plays a significant role in improving the efficiency of the education process. However, in many cases in developing countries, technology transfer without consideration of technology acceptance factors has limited the impact of e‑learning and the expected outcome of the education process. Therefore, this shift in learning method has been met with low enthusiasm from academic staff and students owing to its low perceived usefulness and perceived ease‑of‑use. The University of Kufa (UoK) in Iraq is considered a good case study because it has implemented the e‑learning platform since 2013. The UoK platform is based on open‑source Moodle owing to the latter’s advantages, such as low implementation cost, open community for support and continuous update and development. To identify and evaluate the challenges, this study uses a questionnaire survey that targets the level of adoption, implementation, familiarity and technology acceptance of staff and students. A total of 242 educators participate in the survey, and the data are subsequently analysed. Important information is extracted using data mining techniques, namely clustering and decision trees. One of the main crucial factors extracted from the analysis results is the perception that social media is easier to use compared with a dedicated e‑learning platform such as Moodle. This factor may also discourage educators/learners from adopting an offered e‑learning platform, regardless of actual usefulness, motivation and training programs. Therefore, this paper offers practical information regarding the main issues and a guideline to fully utilise e‑learning for policy makers and e‑learning developers, particularly in newly established institutions or developing countries.

scholarly journals The Impact of Narrative Feedback, E-Learning Modules and Realistic Video and the Reduction of Misconception

2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Abdul Halim ◽  
Elmi Mahzum ◽  
Muhammad Yacob ◽  
Irwandi Irwandi ◽  
Lilia Halim
Keyword(s):  
Biology Education ◽  
Free Fall ◽  
Percentage Reduction ◽  
Significant Treatment ◽  
Learning Modules ◽  
Physics Courses ◽  
Learning Platform ◽  
Quasi Experimental ◽  
E Learning ◽  
The Impact

Physics learning in universities utilized the Moodle-based e-learning media as an online learning platform. However, the effectiveness of remediating misconception using online media has not been widely researched. Therefore, this study was set to determine the level of misconception percentage reduction through the use of narrative feedback, the e-learning modules, and realistic video. The study was a quantitative approach with a quasi-experimental method involving 281 students who were taking basic physics courses in the Department of Physics, Chemistry, and Biology Education. The data collection used a three-tier diagnostic test based on e-learning at the beginning of the activity and after the treatment (posttest). The results of the data analysis with descriptive statistics show that the most significant treatment in reducing misconception percentage on the topic of free-fall motion was in the following order: narrative feedback, e-learning modules and realistic video. The misconception percentage reduction in the sub-concept of accelerated free- fall was effective for all types of the treatments.

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luyan Teng ◽  
Qinyi Tan ◽  
Ali Ehsani
Keyword(s):  
Cloud Computing ◽  
Learning System ◽  
Educational Institutions ◽  
Cultural Characteristics ◽  
Content Type ◽  
Learning Platform ◽  
E Learning ◽  
Training Courses ◽  
The Impact ◽  
The Relationship

PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.

E-learning systems reengineering

2008 ◽  
pp. 175-196 ◽  
Author(s):  
Lahcen Oubahssi ◽  
Monique Grandbastien
Keyword(s):  
Software Component ◽  
Learning Systems ◽  
Reference Models ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Global Cycle

In this chapter we propose functional specifications and a component-based architecture for designing e-learning platforms. An important feature is that the proposed specifications and architecture are based on the experience gained in an e-learning company and result from a reengineering process. To guide the reengineering process, we used two reference models, which are the e-learning global process and the e-learning global cycle. The functional specifications are described according to the e-learning global cycle phases and they are used to propose a software component based architecture. The proposed kernel of components was completed with services to allow interoperability and standard compliance between several e-learning platforms. We hope that this case-study exemplifies e-learning platform suppliers’ needs and available pragmatic solutions. We conclude on foreseeable evolutions of e-learning actors needs and practices and on new platform features for fulfilling such needs.

scholarly journals The Impact of WhatsApp on Learners’ Achievement: A Case Study of English Language Majors at King Khalid University

2018 ◽  
Vol 6 (2) ◽  
pp. 69 ◽  
Author(s):  
Abdulkhaleq Q. A. Hassan ◽  
Sayed Salahuddin Ahmed
Keyword(s):  
Content Knowledge ◽  
Mobile Application ◽  
English Language ◽  
Traditional Classroom ◽  
Control Group ◽  
E Learning ◽  
Additional Support ◽  
The Impact ◽  
Experimental Group

To investigate the effectiveness of e-learning by using a particular mobile application, namely WhatsApp, an empirical study was conducted on sixty undergraduate English language majors at King Khalid University in Saudi Arabia. The objective of the study was to determine whether the levels of motivation, content knowledge and grades of the students (who took the course “Syntax”)-, developed after receiving additional support through WhatsApp apart from traditional classroom lectures. The results showed that the experimental group that got extra support from fellow students and the course teachers through WhatsApp outperformed the students of the control group who studied the course only through traditional method. Moreover, the gap of success rate between the experimental group and the control group is about eighty nine percent with zero failure in the experimental group. The study proved that WhatsApp can be effectively used for providing supplementary support to motivate students to study properly and to get higher grades.

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexander Schlegel ◽  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Single Case ◽  
Big Data Analytics ◽  
Business Planning ◽  
Operations Planning ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

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