EAI Endorsed Transactions on e-Learning

EAI Endorsed Transactions on e-Learning is an open access, peer-reviewed scholarly journal focused on topics belonging to the variegated and engaging e-Learning landscape, ranging from various types of distance learning (e.g., online, mobile, cloud, hybrid) to virtual laboratory environments supported by sound pedagogies, cutting-edge technologies and much more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

Editor(s)-in-Chief: Yu-Dong Zhang and Marco Zappatore

Aims & Scope
Indexing
Editorial Board
Special Issues

EAI Endorsed Transactions on e-Learning is open access, a peer-reviewed scholarly journal focused on topics belonging to the variegated and engaging e-Learning landscape, ranging from various types of distance learning (e.g., online, mobile, cloud, hybrid) to virtual laboratory environments supported by sound pedagogies, cutting-edge technologies and much more. The journal publishes research, review, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

Accessibility and usability of online learning
Assessment of e-learning strategies and outcomes
Augmented reality and associated pedagogies
Best Practices of e-Learning around the world
Big Data in global e-Learning
Blended learning
Collaborative learning in in various learning environments
High-impact practices in e-Learning
Immersive learning and mixed reality
Innovative solutions for e-Learning
Intelligent learning and intelligent learning management systems
Learning analytics
Massive open online courses
Mobile learning and its large-scale implementation
Security and privacy in education and e-learning systems
Social learning and social networks
Social and organizational perspectives
Standards and infrastructures
Student engagement in various learning settings
Educational Models and Frameworks
Virtual and Augmented Learning Environments

Call for Papers: Special issue on: Intelligent Application in Special Education (IASE) (Manuscript submission deadline: 2021-06-30; Notification of acceptance: 2021-07-30; Submission of final revised paper: 2021-08-30; Publication of special issue (tentative): 2021-09-17)

Lead Guest Editor: Xianwei Jiang (Nanjing Normal University of Special Education, China)

Alberto Bucciero (Università del Salento, Italy)
Amruth Kumar (Ramapo College of New Jersey, USA)
Anasol Pena Rios (University of Essex and British Telecom)
Andrea Pandurino (Università del Salento, Italy)
Andrey Lyamin (ITMO University, Russia)
Athanassios Jimoyiannis (University of Peloponnese, Greece)
Dagmar Caganova (Slovak University of Technology)
Debbie Holley (Bournemouth University, UK)
Ed Currie (Middlesex University, UK)
Edward Currie (Middlesex University)
Eusebio Scornavacca (University of Baltimore, USA)
Evgeniy Efimchik (ITMO University, Russia)
Francisco Bellido (Universidad de Córdoba, Spain)
George Evangelinos (Anglia Ruskin University, UK)
Goran Trajkovski (Western Governors University, USA)
Gordon Hunter (Kingston University, UK)
Jaime Meza (Universitat Politècnica de Catalunya, Spain)
Jamshid Beheshti (McGill University, Canada)
Jia Chen (Shanghai International Studies University)
John Carfora (Loyola Marymount University, USA)
John O'Connor (Dublin Institute of Technology, Ireland)
Jonathon Richter (Director of iLRN)
Luca Ferrari (Università di Bologna, Italy)
Mark J. W. Lee (School of Education Charles Sturt University, Australia)
Markus Helfert (Dublin City University, Ireland)
Matthias Glowatz (University College Dublin, Ireland)
Melody Buckner (University of Arizona, USA)
Michelle Crosby-Nagy (International Business School, Hungary)
Nian-Shing Chen (Editor of Educational Technology and Society)
Nicoletta Adamo-Villani (Purdue University, USA)
Nurul Badrul (Centre for Instructor and Advanced Skill Training, Malaysia)
Radhika Pai (Manipal Institute of Technology, India)
Regina Kaplan-Rakowski (Southern Illinois University, USA)
Richard Boateng (University of Ghana, Ghana)
Sabrina Leone (Università Politecnica delle Marche, Italy)
Shuai Liu (Hunan Normal University, China)
Stefano Za (LUISS University, Italy)
Steven Truxal (City University of London, UK)
Sujan Shrestha (University of Baltimore, USA)
Victor Zamudio (Instituto Tecnologico de Leon, Mexico)
Vladimír Bradáč (Ostravská Univerzita, Czech Republic)
Vladimir Uskov (Bradley University, USA)
Xuesong Zhai (Science and Technology University of China)
Xianwei Jiang (Nanjing Normal University of Special Education, China)
S. Suman Rajest George (Vels Institute of Science, Technology & Advanced Studies, India)

Recently Published
Most Popular

Design of UML Diagrams for WEBMED - Healthcare Service System Services
Appears in:
el 23(1): e5

Authors:
Dr.S. Suriya, Nivetha S.

Published:
1st Feb 2023

Abstract:
Healthcare service has huge demand these days as it really helps in managing a hospital or a medical office. The scope of Healthcare service systems is increasing by each day and it is true for the entire world. Some of these solutions include improved awareness about Healthcare services and health…Healthcare service has huge demand these days as it really helps in managing a hospital or a medical office. The scope of Healthcare service systems is increasing by each day and it is true for the entire world. Some of these solutions include improved awareness about Healthcare services and health policies. The objective of this system is to provide medical assistance to people instantly with the help of technology. This system eradicates the cultural sensitivity that prevails in many hospitals and improvises the quality of medical assistance. The captivating features of this system are online doctor, medicines at doorstep, bulletin of awareness. The users can also navigate and choose among various insurance schemes that are displayed.Unified Modeling language (UML) is a standardized modeling language enabling developers to specify, visualize, construct and document artifacts of a software system. It uses graphic notation to create visual models of software systems. This paper contains the UML diagrams for better understanding of the system with the help of Star UML tool.Usecase diagrams are used during the analysis phase of a project to identify system functionalities. Class diagram represents the static view of an application.The class diagrams are the only UML diagrams, which can be mapped directly with object-oriented languages.Activity diagram is an important behavioral diagram in UML diagram to describe dynamic aspects of the system. Activity diagram is essentially an advanced version of flow chart that modeling the flow from one activity to another activity.The state machine diagram shows the different states of an entity and focuses more on how it responds to various events by changing from one state to another. Statechart diagram is used to capture the dynamic aspect of a system. State machine diagrams are used to represent the behavior of an application. The sequence diagram focuses on the messages that are passed during an interaction in a time based perspective.A Communication diagram models the interactions between objects or parts in terms of sequenced messages. It describes both the static structure and dynamic behavior of a system. Component diagrams are used to model the physical aspects of a system. It does not describe the functionality of the system but it describes the components used to make those functionalities. Deployment Diagram is a type of diagram that specifies the physical hardware on which the software system will execute. It also determines how the software is deployed on the underlying hardware. UML is a modeling language used by software developers.UML can be used to develop diagrams and provide users with ready-to-use, expressive modeling examples. Some UML tools generate program language code from UML.UML can be used for modeling a system independent of a platform language. UML is a graphical language for visualizing, specifying, constructing, and documenting information about software-intensive systems.UML gives a standard way to write a system model, covering conceptual ideas.
more »
A Concept Map based Teaching of Compiler Design for Undergraduate Students
Appears in:
el 23(1): e4

Authors:
Venkatesan Subramanian, Kalaivany Karthikeyan, Pallapa Venkataram

Published:
17th Aug 2022

Abstract:
In undergraduate engineering, most of the subjects do not have the open visibility of the Industry and Research requirements. Students are interested mostly on subjects which are useful for Industry placement. They do not show interest in non-open visibility subjects if an instructor teaches by sim…In undergraduate engineering, most of the subjects do not have the open visibility of the Industry and Research requirements. Students are interested mostly on subjects which are useful for Industry placement. They do not show interest in non-open visibility subjects if an instructor teaches by simply following the textbook. Considering this, we presented a concept map based teaching methodology with Research and Industry assignments and problems. The proposed methodology focus on improving the teaching quality and students’ understanding level. In this paper, we have taken the Compiler Design subject and presented the concept map. To understand the eectiveness of the proposed methodology, the students feedback was collected and evaluated using the sign-test and the students’ submitted problems and assignments were evaluated to understand their level. The analysis results show that most of students studied Compiler Design with interest as a result of proposed teaching methodology.
more »
COVID-19 Diagnosis by Wavelet Entropy and Extreme Learning Machine
Appears in:
el 23(1): e3

Authors:
Xue Han, Zuojin Hu, William Wang

Published:
11th Aug 2022

Abstract:
In recent years, COVID-19 has spread rapidly among humans. Chest CT is an effective means of diagnosing COVID-19. However, the diagnosis of CT images still depends on the doctor's visual judgment and medical experience. This takes a certain amount of time and may lead to misjudgment. In this paper,…In recent years, COVID-19 has spread rapidly among humans. Chest CT is an effective means of diagnosing COVID-19. However, the diagnosis of CT images still depends on the doctor's visual judgment and medical experience. This takes a certain amount of time and may lead to misjudgment. In this paper, a new algorithm for automatic diagnosis of COVID-19 based on chest CT image data was proposed. The algorithm comprehensively uses WE to extract image features, uses ELM for training, and finally passes k-fold CV validation. After evaluating and detecting performance on 296 chest CT images, our proposed method is superior to state-of-the-art approaches in terms of sensitivity, specificity, precision, accuracy, F1, MCC and FMI.
more »
Covid-19 Diagnosis by Gray-level Cooccurrence Matrix and Genetic Algorithm
Appears in:
el 23(1): e2

Authors:
Xiaoyan Jiang, Mackenzie Brown, Zuojin Hu, Hei-Ran Cheong

Published:
3rd Aug 2022

Abstract:
Currently, improving the identification of COVID-19 with the help of computer vision and artificial intelligence has received great attention from researchers. This paper proposes a novel method for automatic detection of COVID-19 based on chest CT to help radiologists improve the speed and reliabi…Currently, improving the identification of COVID-19 with the help of computer vision and artificial intelligence has received great attention from researchers. This paper proposes a novel method for automatic detection of COVID-19 based on chest CT to help radiologists improve the speed and reliability of tests for diagnosing COVID-19. Our algorithm is a hybrid approach based on the Gray-level Cooccurrence Matrix and Genetic Algorithm. The Gray-level Cooccurrence Matrix (GLCM) was used to extract CT scan image features, GA algorithm was used as an optimizer, and a feedforward neural network was used as a classifier. Finally, we use 296 chest CT scan images to evaluate the detection performance of our proposed method. To more accurately evaluate the accuracy of the algorithm, 10-run 10-fold cross-validation was introduced. Experimental results show that our proposed method outperforms state-of-the-art methods in terms of Sensitivity, Accuracy, F1, MCC, and FMI.
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The Twenty First Century E- Learning Education Management & Implication for Media Technology Adoption in the Period of Pandemic
Appears in:
el 23(1): e1

Authors:
Ugochukwu O. Matthew, Jazuli S. Kazaure, Ado Saleh Kazaure, Ogechukwu N. Onyedibe, Abraham N. Okafor

Published:
3rd Aug 2022

Abstract:
INTRODUCTION: The relevance of multimedia electronic learning(e-learning) education in the ongoing COVID-19 pandemic in the developing nations are justifiable on the pedagogical connections between the twenty first century digital automation and education itself. Multimedia is a creative combinati…INTRODUCTION: The relevance of multimedia electronic learning(e-learning) education in the ongoing COVID-19 pandemic in the developing nations are justifiable on the pedagogical connections between the twenty first century digital automation and education itself. Multimedia is a creative combination of computer hardware , software and lifeware that allows for integration of video, animation, audio, graphical information and text resources in an interactive engagement , in which information are accessed interactively with any information processing devices.
OBJECTIVES: To enable personalizable and autonomous learning accomplishments when multimedia educational tools are merged , which allows for diversity in curriculum presentation.
METHODS: The current research investigated 400 postgraduate students of faculty of computer science and information technology who adopted the multimedia e-learning education approach to ensure that the expected date of graduation was not extended during the recent institution lock .
RESULTS :The research observed that out of six multimedia e-learning education tools used, e-mail functionalities, chat apps, audio/video computing application and discussion forum were mostly used to provide meaningful interactive engagement while blogs and webcast were less utilized.
CONCLUSION: The research proposed an enhanced level electronic participation, electronic readiness and e-learning education framework that matched the standards for the smartest educational reform that will enable regular and consistent educational accomplishment without disruptions of academic workflow in the global educational business ,notwithstanding the severity of any future pandemic similar to ongoing COVID-19.
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Review on One-Stage Object Detection Based on Deep Learning
Appears in:
el 22(23): e5

Authors:
Hang Zhang, Rayan S Cloutier

Published:
9th Jun 2022

Abstract:
As a popular research direction in computer vision, deep learning technology has promoted breakthroughs in the field of object detection. In recent years, the combination of object detection and the Internet of Things (IoT) has been widely used in the fields of face recognition, pedestrian detect…As a popular research direction in computer vision, deep learning technology has promoted breakthroughs in the field of
object detection. In recent years, the combination of object detection and the Internet of Things (IoT) has been widely used
in the fields of face recognition, pedestrian detection, unmanned driving, and customs detection. With the development of
object detection, two different detection algorithms, one-stage, and two-stage have gradually formed. This paper mainly
introduces the one-stage object detection algorithm. Firstly, the development process of the convolutional neural network
is briefly reviewed, Then, the current mainstream one-stage object detection model is summarized. Based on YOLOv1, it
is continuously optimized, and the improvements and shortcomings are summarized in detail. Finally, a summary is made
based on the difficulties and challenges of one-stage object detection algorithms.
more »
Recognition system for fruit classification based on 8-layer convolutional neural network
Appears in:
el 22(23): e4

Author:
Jia-Ji Wang

Published:
17th Feb 2022

Abstract:
INTRODUCTION: Automatic fruit classification is a challenging task. The types, shapes, and colors of fruits are all essential factors affecting classification. OBJECTIVES: This paper aimed to use deep learning methods to improve the overall accuracy of fruit classification, thereby improving…INTRODUCTION: Automatic fruit classification is a challenging task. The types, shapes, and colors of fruits are all
essential factors affecting classification.

OBJECTIVES: This paper aimed to use deep learning methods to improve the overall accuracy of fruit classification,
thereby improving the sorting efficiency of the fruit factory.

METHODS: In this study, our recognition system is based on an 8-layer convolutional neural network (CNN) combined
with the RMSProp optimization algorithm to classify fruits. It is verified through 10 times 10-fold crossover validation.

CONCLUSION: Our method achieves an accuracy of 91.63%, which is superior to the other four state-of-the-art methods.
more »
Covid-19 Recognition by Chest CT and Deep Learning
Appears in:
el 22(23): e3

Authors:
Lin Yang, Dimas Lima

Published:
7th Jan 2022

Abstract:
INTRODUCTION: The current RT-qPCR approach to identify Covid-19 diseases is slow and non-optimal for a large number of candidates. OBJECTIVES: Several studies have demonstrated that deep learning can help healthcare professionals diagnose Covid-19 patients. The deep learning model proposed i…INTRODUCTION: The current RT-qPCR approach to identify Covid-19 diseases is slow and non-optimal for a large
number of candidates.

OBJECTIVES: Several studies have demonstrated that deep learning can help healthcare professionals diagnose Covid-19
patients. The deep learning model proposed in this paper significantly enhanced the accuracy of identifying Covid-19
patients compared to prior approaches.

METHODS: This paper applies transfer learning and deep residual network ResNet152V2 to detect Covid-19 patients with
the help of CT scan images. Monte Carlo Cross-Validation has been applied to obtain an accurate and valid result.

RESULTS: The proposed model can identify Covid-19 disease with an overall accuracy of 95.06%, along with an average
precision and recall of 97.19% and 92.81%, respectively. It also obtained a specificity of 93.14% and a F1-score of
94.96%.

CONCLUSION: The performance of this proposed ResNet152V2 model is superior to most of the current Covid-19
detection models.
more »
Teachers’ Use of Technology: Examining the Domains of Laptop Competence
Appears in:
el 22(23): e2

Authors:
Priscilla Moses, Su Luan Wong

Published:
26th Oct 2021

Abstract:
INTRODUCTION: The current coronavirus pandemic has forced the transition from face-to-face teaching and learning to fully online in Malaysia. OBJECTIVES: To examine the domains of laptop competence and its relationship with laptop use among teachers. METHODS: A quantitative descripti…INTRODUCTION: The current coronavirus pandemic has forced the transition from face-to-face teaching and learning to fully online in Malaysia.

OBJECTIVES: To examine the domains of laptop competence and its relationship with laptop use among teachers.

METHODS: A quantitative descriptive survey design using questionnaires involved 133 Mathematics and Science secondary school teachers.

RESULTS: Based on the results, the teachers are highly competent in word processor; basic laptop operation skills; telecommunication; spreadsheet; multimedia integration; and setup, maintenance, and troubleshooting of laptop but only moderately competent in media communication; and database. There was a significant positive relationship between teachers’ laptop competence and laptop use.

CONCLUSION: Act as a guide to plan effectual training according to the needs of the teachers based on each item of the domains outlined to promote more rigorous use of laptops among the teachers.
more »
Alzheimer’s disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation
Appears in:
el 22(23): e1

Author:
Shuangshuang Gao

Published:
16th Sep 2021

Abstract:
OBJECTIVES: Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious onset and one of the biggest challenges in geriatrics. Because the cause of the disease is unknown and there is currently no cure, AD Early diagnosis is particularly import…OBJECTIVES: Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious onset and one of the biggest challenges in geriatrics. Because the cause of the disease is unknown and there is currently no cure, AD Early diagnosis is particularly important.

METHODS: In this paper, we built a 5-layer convolutional neural network based on deep learning technology. We used six data augmentation methods to increase the size of the training set. Batch normalization and dropout techniques are also used,
which are respectively associated with the convolutional layer and the fully connected layer, Form convolution batch normalization (CB) and dropout fully connected (DOFC) block respectively.

RESULTS: Our 5-layer CNN has shown excellent results on the training set, a sensitivity of 94.80%, a specificity of 93.98%, a precision of 94.04% and an accuracy of 94.39%, and has good performance compared with several other state-of-the-art
methods.

CONCLUSION: In terms of classification performance, our method performs better than 8 state-of-the-art approaches and the performance of human observers. Therefore, this proposed method is effective in the detection of Alzheimer’s disease.
more »

UTAUT: Integrating Achievement Goals and Learning Styles for Undergraduates’ Behavioural Intention to Use Technology
Appears in:
el 18(17): e2

Authors:
T.C.Y. Tey, P. Moses

Downloads:
2517

Abstract:
In Malaysia, technology use is much emphasised as the Ministry of Education foresees great potential of technology use in amplifying students’ learning. However, the great potential of technology use has not been fully realised. Therefore, the purpose of this study was to explore the influence of t…In Malaysia, technology use is much emphasised as the Ministry of Education foresees great potential of technology use in amplifying students’ learning. However, the great potential of technology use has not been fully realised. Therefore, the purpose of this study was to explore the influence of the existing antecedents in the Unified Theory of Acceptance and Use of Technology (UTAUT) model with two additional variables (achievement goal and learning styles) on undergraduates’ behavioural intention to use technology. This study also aimed to determine the best predictor of undergraduates’ intention to use technology. Hence, a quantitative survey method involving 699 undergraduates was employed in this study. The findings indicated that the undergraduates’ effort expectancy, performance expectancy, social influence and achievement goals had significant influence on their behavioural intention to use technology. This study provides insights to the education stakeholders on the necessity to enhance pedagogical technology innovations in the higher education system.
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Enhancing Student Engagement Through Social Media A School of Business Case Study
Appears in:
el 14(4): e4

Authors:
M. Glowatz, L. Bofin

Downloads:
2021

Abstract:
While many universities have been deploying both electronic learning (eLearning) and social media applications for academic purposes, there is currently little research on the impact on their use on students’ overall learning experiences and associated learning possibilities. This paper elaborates …While many universities have been deploying both electronic learning (eLearning) and social media applications for academic purposes, there is currently little research on the impact on their use on students’ overall learning experiences and associated learning possibilities. This paper elaborates on several online academic activities, such as Facebook, Twitter and quizzes for one classroom taught school of business undergraduate (UG) module. The similarities and differences discovered across all aspects of this paper’s research findings are examined against Chickering & Gamson’s [1] seven principles of good practice teaching and Astin’s [2] five tenets of engagement. Online activities were tracked over a period of one academic semester (fifteen weeks) and results insinuate that innovative and sustainable social media can indeed be utilised in higher education to enhance student learning and engagement.
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A Moral Education Learning System based on the Snakes and Ladders Game
Appears in:
el 18(17): e3

Authors:
E. O. Ibam, T. A. Adekunle, O. C. Agbonifo

Downloads:
1980

Abstract:
Moral decadence in our society rises more and more and complaints about this issue are oftentimes about children and their future. Children are likely to disobey due to their inability to understand the effects of their decisions. Games liked by children can help in child education, especially when…Moral decadence in our society rises more and more and complaints about this issue are oftentimes about children and their future. Children are likely to disobey due to their inability to understand the effects of their decisions. Games liked by children can help in child education, especially when the moral aspects of such games are well highlighted. This paper reports the development of a Snakes and Ladders game that emphasizes the moral aspect of the game approach in order to promote moral education among children. The game was tested on twenty (20) children between the ages of 6 and 7. Their knowledge and willingness to follow moral and societal rules was tested before playing the game multiple times and also tested thereafter. It was observed that their knowledge and willingness to follow the rules improved. The game works subconsciously in helping children understand the consequences of certain moral actions in a virtual way. The Design of the system consists of the system architecture, the Use Case diagram, and a flow chart which explains all procedures in a logical sequence. A mathematical model and an algorithm are used to describe the gaming process. The system is implemented using Java programming language.
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From structured to unstructured learning via a technology-mediated learning framework
Appears in:
el 18(17): e5

Authors:
Lindsay Miller, Junjie Gavin Wu

Downloads:
1885

Abstract:
In this paper we propose a simple technology-mediated framework for course design. By way of a group project, students were asked to discuss issues about their local culture using their second language. We illustrate that this type of out-of-class learning stimulated the students to use a technolog…In this paper we propose a simple technology-mediated framework for course design. By way of a group project, students were asked to discuss issues about their local culture using their second language. We illustrate that this type of out-of-class learning stimulated the students to use a technologically enhanced learning environment by engaging them with meaningful communication and we show instances from the project data where the following areas were covered: content, collaboration, and learner autonomy. Smartphones, when used appropriately, can be a useful tool for content and language learning.
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On the importance of social network sites in the transitions which characterize ‘emerging adulthood’
Appears in:
el 11(1): e4

Authors:
Gianluca Frozzi, Elvis Mazzoni

Downloads:
1759

Abstract:
Modern-day economic and socio-cultural developments require people to be ever more specialized and mobile in their educational and professional choices. This is particularly relevant for ‘emerging adults’, that is to say, those who find themselves at that stage of life when their scholastic or univ…Modern-day economic and socio-cultural developments require people to be ever more specialized and mobile in their educational and professional choices. This is particularly relevant for ‘emerging adults’, that is to say, those who find themselves at that stage of life when their scholastic or university education ends, and they begin to make choices regarding their professional working life. Transitions between different activity systems, and changes of residence which they entail, make ‘emerging adulthood’ a particularly unstable period in which young people continually dissolve, create and recreate relationship networks of varying degrees of importance which are able to support them through these changes. Beginning with empirical evidence and theoretical starting points typical of the psychology of education and development, this contribution proposes a theoretical reflection which attempts to analyze the efficacy of Social Network Sites in facilitating and supporting emerging adults during their education and vocational training and the important transitions which they have to face as they develop.
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Blended learning for developing effective virtual teams: a proposed intervention format
Appears in:
el 16(12): e4

Authors:
Cristiano Ghiringhelli, Alessandra Lazazzara

Downloads:
1661

Abstract:
The aim of this exploratory study was to develop a blended learning approach to fostering the skills and competencies required by leaders and members of international virtual teams. Three levels of analysis were brought to bear in designing the proposed intervention format: first, the factors likel…The aim of this exploratory study was to develop a blended learning approach to fostering the skills and competencies required by leaders and members of international virtual teams. Three levels of analysis were brought to bear in designing the proposed intervention format: first, the factors likely to influence the effectiveness of a virtual team; second, the needs and challenges related to the early stages of the virtual team membership; third, the role of the human resource function in promoting – via training and development programmes – the knowledge and skills needed for virtual teams to be successful. The research questions included: What are the perceived benefits and challenges associated with the early stages of virtual collaboration? What factors must be carefully defined and managed when running a virtual team? What training needs are perceived by inexperienced virtual team members? How can training and development initiatives contribute to the effectiveness of virtual teams? A qualitative approach based on the model developed by Bal & Gundry was used to analyse data from five interviews with virtual team members at Nielsen TAM Italy. The outcomes informed the proposed blended training programme.
more »
Digital Competence and Capability Frameworks in Higher Education: Importance of Life-long Learning, Self-Development and Well-being
Appears in:
el 17(13): e1

Authors:
D. Biggins, D. Holley, M. Zezulkova

Downloads:
1634

Abstract:
The paper compares the EU’s 2013 and 2016 digital competence (DigComp) framework with the UK education’s 2009 and 2015 digital capabilities (DigCap) framework. The similarities are in the increased focus on data within privacy/overall literacy and the inclusion of well-being. Among the differences,…The paper compares the EU’s 2013 and 2016 digital competence (DigComp) framework with the UK education’s 2009 and 2015 digital capabilities (DigCap) framework. The similarities are in the increased focus on data within privacy/overall literacy and the inclusion of well-being. Among the differences, DigComp focuses on life-long learning whereas DigCap is more holistic. This is explained by diverse target audiences, as DigComp has to be relevant to various stakeholders across the EU, whilst DigCap serves the UK higher and further education sector. Although education is dominant within DigCap, both frameworks agree on the importance of digital skills, knowledge and attitudes to the fields of education, training and employment. The paper discusses a UK HE case study of a technology enhanced learning toolkit. It concludes by arguing for a human-centred approach to digital competence and capability frameworks, in which learning, self-development and well-being play a vital role.
more »
Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect
Appears in:
el 15(7): e3

Authors:
Chung-Yen Su, Li-An Yu, Nai-Kuei Chen, Jheng-Jyun Wang, Ying-Hao Liu, Shuen-De Wu

Downloads:
1615

Abstract:
In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED prob…In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED probe by computer vision. In previous paper, we proposed an effective method based on Canny edge detection and curve fitting method with iteration. In this paper we add a new sub-pixel edge detection method: partial area effect. We improve the preciseness of angle from error 2.3% to 1.43% and enhance the accuracy of radius more than 30%.
more »
Animating Instructional Materials in Computer Education: An Approach to Designing and Teaching Concepts in Data Structures Using LATEX
Appears in:
el 12(1): e3

Authors:
Damilola Osikoya, Adeleke Oluwalani

Downloads:
1615

Abstract:
Animation gives a different perception on what is being visually presented. Research has shown that students are likely to understand what is being taught from the combination of animation and text than just with text. Students easily understand scientific concepts in narrative and animated forms…Animation gives a different perception on what is being visually presented. Research has shown that students
are likely to understand what is being taught from the combination of animation and text than just with text.
Students easily understand scientific concepts in narrative and animated forms. Data structure is a way of
storing and arranging data. The efficacy of searching these stored data is very important, so is it vital that they
are stored with the right algorithm. This paper presents animations designed to support teaching in computer
education. Our main focus is to present controlled animated instructional materials in teaching topics in data
structures. We have created three scientifically animated instructional materials in data structures consisting
of the Stacks, Queues and Trees. These scientific spheres have been chosen to demonstrate the basic ideas
of this work, because of its simplicity in representing the animations. We hope to develop reasonable sets
of instructional material of different subject areas that will be stored in a database repository. These are
intended to be delivered to students through an e-learning website and/or Mobile phones to support them
with additional learning opportunities.
more »
Using arcade games to engage students in the learning of foreign and mother languages
Appears in:
el 15(2): e2

Author:
Adelina Moura

Downloads:
1543

Abstract:
It is imperative to continue thinking about and reinventing education because mobile technologies and the Web are redefining where, when and from whom we learn. Authors from different study fields have recognised the multiple possibilities of video games for language learning and for interdiscipli…It is imperative to continue thinking about and reinventing education because mobile technologies and the Web are redefining where, when and from whom we learn. Authors from different study fields have recognised the multiple
possibilities of video games for language learning and for interdisciplinary use. Education can benefit from the potential of these artefacts if properly integrated into the educational process. This article describes a language learning experience
based on electronic games – of the ARCADE type. This research has been carried out in order to study the learning of vocabulary, grammar and other school curriculum in Portuguese and French classes, both in Elementary and Vocational Education. The results show that video games have a positive impact on motivation for learning and cognitive development. Students’ perceptions show that ARCADE games were helpful in improving vocabulary and language skills.
Interest in these games was the same for boys and girls, however further studies are needed.
more »

Publisher: EAI
ISSN: 2032-9253
Number of Volumes: 8

Last Published: 2023-02-01