Evaluation of Students’ Flow State in an E-learning Environment Through Activity and Performance Using Deep Learning Techniques

2020 ◽  
pp. 073563312097983
Author(s):  
Yusuf Can Semerci ◽  
Dionysis Goularas
Keyword(s):  
Learning Environment ◽  
Deep Neural Networks ◽  
Complex Task ◽  
Flow State ◽  
Learning Platform ◽  
Online Lectures ◽  
Learning Techniques ◽  
E Learning ◽  
Learning Platforms ◽  
And Performance

Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the parameters that better reflect the activity and effort of students. In this scope, the current study proposes a method based on flow theory aiming to provide information about the students' flow state in a course that is taught in an e-learning environment. First, the interaction of students with an e-learning platform that comprises classical e-learning pages and a timeline tool is analyzed, using activity heatmaps and deep neural networks. Then, by taking also in account their grades, the flow state of students is calculated. The resulted data are validated with a statistical analysis that also utilizes student surveys. In order to guarantee that this method is applicable to various profiles, students from different faculties participated in this study. In a period where education is rapidly adapting to online lectures and e-learning platforms, the estimation of student's flow state in e-learning environments can provide useful feedback and data to students and educators.

scholarly journals E-Learning Theories, Components, and Cloud Computing-Based Learning Platforms

2021 ◽  
Vol 16 (3) ◽  
pp. 1-16
Author(s):  
Vikas Kumar ◽  
Deepika Sharma
Keyword(s):  
Cloud Computing ◽  
Learning Environment ◽  
Learning Theories ◽  
Traditional Learning ◽  
Digital Learning ◽  
Learning Tools ◽  
Digital Platforms ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms

The student habit of using the digital platforms can be used to compliment the traditional learning methods. Specifically, designed digital learning platform can support the learning with convenience of time, place, and pace. They can increase the engagement of students and produce higher learning outcomes with increased satisfaction and competence. With a number of embedded features, cloud computing technology-based platforms can deliver the convenience and flexibility in learning environment to compliment the traditional learning pedagogies. The present work identifies the essential learning components that comprise the e-learning environment and categorizes them according to the established learning theories. Further, the prominent cloud-based learning platforms have been mapped to these platforms to see their effectiveness through the existing theories. The work is targeted to form a basis for the development and implementation of successful e-learning tools using the cloud-based platforms.

scholarly journals Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Data ◽  
2021 ◽  
Vol 6 (5) ◽  
pp. 49
Author(s):  
Rana Saeed Al-Maroof ◽  
Khadija Alhumaid ◽  
Iman Akour ◽  
Said Salloum
Keyword(s):  
Conceptual Model ◽  
Critical Mass ◽  
Ease Of Use ◽  
Daily Routine ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Vaccination Hesitancy

The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole.

Learning objects management and evaluatio in an e-learning environment

1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Group Learning ◽  
Learning Objects ◽  
Authoring Tools ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning ◽  
Educational Contents

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.

scholarly journals Design and Implementation of a Gesture-Aided E-Learning Platform

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8042
Author(s):  
Wolfgang Kremser ◽  
Stefan Kranzinger ◽  
Severin Bernhart
Keyword(s):  
Learning Outcomes ◽  
Field Test ◽  
Learning Experience ◽  
Learning Content ◽  
Learning Platform ◽  
System Usability Scale ◽  
E Learning ◽  
Learning Platforms ◽  
Reference Implementation ◽  
Generic System

In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data.

scholarly journals Generated PSM Web Model for E-learning Platform Respecting n-tiers Architecture

2017 ◽  
Vol 12 (10) ◽  
pp. 212 ◽  
Author(s):  
Aziz Srai ◽  
Fatima Guerouate ◽  
Naoual Berbiche ◽  
Hilal HilalDrissi
Keyword(s):  
Mobile Device ◽  
Professional Training ◽  
Role Playing ◽  
Transformation Language ◽  
Technological Diversity ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Role Playing Game ◽  
View Transformation

E-learning, or learning via a computer or mobile device, is growing. It can take many forms, such as an annotated PowerPoint presentation, a tutorial, or an interactive role-playing game .The possibilities are endless. Today, 80% of companies and communities have done a number of interesting and effective e-learning solutions, and 30% of all professional training are e-learning courses. The development of these platforms is based mainly on different technologies. This technological diversity can make comparing or managing E-learning platforms difficult, and the choice of a given platform will be also complex. Therefore, to address this problem, this paper proposes a solution to generate a PSM model based on n-tier architecture from a PIM model. The language used is the QVT (Query View Transformation) transformation language.

scholarly journals The Application of E-learning in English Teaching at Dong Nai Technology University

2021 ◽  
Vol 25 (1) ◽  
pp. 544
Author(s):  
Lien Cam
Keyword(s):  
Teaching And Learning ◽  
Study Data ◽  
Foreign Languages ◽  
Efl Learners ◽  
Learning Platform ◽  
Learning Programs ◽  
E Learning ◽  
Efl Students ◽  
Learning Platforms ◽  
The University

Many colleges and universities in Vietnam have employed e-learning platforms in teaching English with the hope to better students’ English proficiency. Recently, e-learning programs such as DNTU-LMS and Canvas have been implemented at Dong Nai Technology University. With their features of flexibility and efficiency, they have been being used as crucial tools for teaching and learning in various faculties in the university especially during the widespread of Covid-19 pandemic. The present study aimed at identifying the views of the EFL learners from Faculty of Foreign Languages on the application of e-learning platform. A group of 100 EFL students was chosen randomly to participate in this study. Data was collected using questionnaire. After analyzing student’s responses, the results proved that the introduction of e-learning was effective. E-learning also stimulates students to learn English and brings them comfort and joy.

Enhancing the management of unstructured data in e-learning systems using MongoDB

2015 ◽  
Vol 49 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Milorad Pantelija Stevic ◽  
Branko Milosavljevic ◽  
Branko Rade Perisic
Keyword(s):  
Service Oriented Architecture ◽  
Structured Data ◽  
Learning Systems ◽  
Unstructured Data ◽  
Development Effort ◽  
Content Type ◽  
Learning Platform ◽  
Service Oriented ◽  
E Learning ◽  
Learning Platforms

Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implications – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.

Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners

Data Mining ◽  
2013 ◽  
pp. 1916-1935
Author(s):  
Mingming Zhou ◽  
Yabo Xu
Keyword(s):  
Learning Environment ◽  
Cognitive Skills ◽  
Cognitive Activity ◽  
Cognitive Strategies ◽  
Monitoring And Control ◽  
Online Learners ◽  
Data Mining Algorithms ◽  
E Learning ◽  
And Performance ◽  
Mining Algorithms

A wealth of research has shown that meta-cognition plays a crucial role in the promotion of effective school learning. In most of the e-learning environment designs, however, meta-cognitive strategies have generally been neglected, and therefore, satisfactory uses of these strategies have rarely been realized. Most learners are not even aware of what they have been studying. If the learning system could automatically guide and intelligently recommend learning activities or strategies to facilitate student monitoring and control of their learning, it would favor and improve their learning process and performance. Unfortunately, nearly no e-learning systems to date have attempted to do so. In this chapter, we first described the need for enhancing meta-cognitive skills in e-learning environment, followed by an outline of major challenges for meta-cognitive activity recommendations. We then proposed to adopt data mining algorithms (i.e., content-based and sequence-based recommendation techniques) to meet the identified issues with a toy example.

Voice-Based e-Learning Approach for e-Government

2011 ◽  
pp. 25-33
Author(s):  
A. A. Azeta ◽  
Charles K. Ayo ◽  
Aderemi Aaron Anthony Atayero ◽  
Nicholas Ikhu-Omoregbe
Keyword(s):  
Business Processes ◽  
Learning Strategy ◽  
Organizational Structures ◽  
Learning System ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Mobility Impaired ◽  
Methods Of Learning ◽  
Physically Challenged

Government establishments are most times highly involved in different reorganization programs. The processes in e-Government are diversified and complex, hence the need for an appropriate training and learning strategy for governmental employees. Changing business processes and organizational structures always mean that the personnel have to be familiar with the changed procedures. Consequently, the employees need to be trained to develop capacity for new responsibilities. Existing methods of learning and training do not make provision for certain category of employees such as the visually impaired. They do not provide an alternative learning platform for government of employees that are not physically challenged. Many studies have demonstrated the value of several learning platforms, including mobile learning (m-Learning) but with the problems of access barriers and streamlined participation of most learners. The purpose of this chapter is to propose a voice-based e-Learning system, also known as voice-learning (v-Learning) as a variant of the m-Learning with particular relevance for the visually and mobility impaired learners. V-Learning makes possible ubiquitous learning in e-Government and provides additional capacity and speed of response to help facilitate change. Cost reduction is also achieved and there is no shortage of teachers.

Bringing AI to E-Learning

2012 ◽  
pp. 126-138
Author(s):  
K. Giotopoulos ◽  
C. Alexakos ◽  
G. Beligiannis ◽  
A. Stefani
Keyword(s):  
Learning Environment ◽  
Computational Intelligence ◽  
Intelligent Agents ◽  
Student Model ◽  
Basic Part ◽  
Learning Platform ◽  
Front End ◽  
E Learning ◽  
Autonomous Component

This paper presents a newly developed student model agent, which is the basic part of an e-learning environment that incorporates Intelligent Agents and Computational Intelligence Techniques. The e-learning environment consists of three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. The basic aim of this contribution is to describe in detail the agent’s architecture and the innovative features it provides to the e-learning environment through its utilization as an autonomous component. Several basic processes and techniques are facilitated through the agent in order to provide intelligence to the e-learning environment.

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