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 (Eugene) and Marco Zappatore

Aims & Scope
Indexing
Editors in Chief
Editorial Board
Special Issues

Education is one domain that has accompanied civilization through the centuries, adapting its tools to fulfill the expectations of the students and the needs of the teachers. Such tools can be as obvious and traditional as pencils and a notebook, or as complex and innovative as online courses, virtual, augmented and mixed reality environments.

As the development of technology offers a rapidly increasing number of outlets for creativity and communications, the world of education is undergoing significant renovations. Each day more instructions and open educational resources can be accessed from anywhere, at any time, and at no or little cost. Many universities, public institutions and private businesses are moving into the online and virtual worlds to reach their customers, creating rich virtual presence that cannot be delivered through a simple website. Showcasing these innovative changes in education through scientific research lens is the mission of this publication.

Launched in 2011, the EAI Endorsed Transactions on e-Learning aims at exploring innovative e-learning solutions that facilitate teaching and also spark the attention and imagination of students through interactivity, immersion, variety of content, and emerging technologies. We invite submissions from e-learning leaders, researchers, and practitioners around the world. This journal has published research reports as listed in Topics and will continue to observe the trend of development. In particular, articles published have primarily addressed:

educational environments that are friendly, smart or intelligent, open, personalized, and can seamlessly support anytime anywhere learning or training.
teaching innovations such as virtual reality, mixed reality, mobile learning systems that can interact with students and teachers at a pedagogical level.
learning solutions that can support the learning of practical skills, such as science and engineering laboratories that are critical to students following STEM courses.
and the design and implementation of social learning through the integration of learning management systems and social media.
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)
Debbie Holley (Bournemouth University, UK)
Dudley Turner (University of Akron, USA)
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)
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)
Dagmar Caganova (Slovak University of Technology)
Xuesong Zhai (Science and Technology University of China)
Xianwei Jiang (Nanjing Normal University of Special Education, China)

Yu-Dong Zhang (Eugene)¹

Prof. Yu-Dong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA; and as an assistant research scientist from 2012 to 2013 with Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as Professor with Department of Informatics, University of Leicester, UK. His research interests include deep learning and medical image analysis. Prof. Zhang is the Fellow of IET (FIET), and Senior Members of IEEE and ACM. He was included in “Most Cited Chinese researchers (Computer Science)” by Elsevier from 2014 to 2018. He was the 2019 recipient of “Highly Cited Researcher” by Web of Science. He won “Emerald Citation of Excellence 2017” and “MDPI Top 10 Most Cited Papers 2015”. He was included in "Top Scientist" in Guide2Research. He is the author of over 200 peer-reviewed articles, including 16 “ESI Highly Cited Papers”, and 2 “ESI Hot Papers”.

Marco Zappatore²

Marco Zappatore is a telecommunications engineer who currently acts as a postdoctoral research fellow at the Department of Engineering for Innovation, University of Salento (Italy).

His main research interests are focused on data and knowledge management techniques, mobile crowd sensing and citizen science, semantic Web and ontologies. He is also involved in research activities dealing with sensor data management, remote engineering and applications of new learning paradigms (e.g., collaborative learning, mobile learning, BYOD, etc.). His expertise also deals with electromagnetic field measurements, radio-propagation analysis, wireless communication system (2G to 4G) planning and optimization. He is also involved in teaching activities dealing with software solutions for translators and interpreters. He has also co-authored more than 60 papers for national and international conferences and journals. He is member of several technical program committees in international conferences and journals. He acts as scientific reviewer for 12 international annual conferences and 14 international journals.

In 2014, he started collaborating with the European Alliance for Innovation (EAI) as Web Chair and TPC member/chair for several international conferences.

1: University of Leicester, UK
2: Marco Zappatore is a telecommunications engineer who currently acts as a postdoctoral research fellow at the Department of Engineering for Innovation, University of Salento (Italy).

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Recently Published
Most Popular

Tea category classification via 5-layer customized convolutional neural network
Appears in:
el 18: e1

Authors:
Xiang Li, Mengyao Zhai, Junding Sun

Published:
5th May 2021

Abstract:
INTRODUCTION: Green tea, oolong, and black tea are the three most popular teas in the world. If classified tea by manual, it will not only take a lot of time, but also be affected by other factors, such as smell, vision, emotion, etc. OBJECTIVES: Other methods of tea category classification have…INTRODUCTION: Green tea, oolong, and black tea are the three most popular teas in the world. If classified tea by manual, it will not only take a lot of time, but also be affected by other factors, such as smell, vision, emotion, etc.

OBJECTIVES: Other methods of tea category classification have the shortcomings of low classification accuracy, weak robustness. To solve the above problems, we proposed a method of deep learning.

METHODS: This paper proposed a 5-layer customized convolutional neural network for 3 tea categories classification.

RESULTS: The experimental results show that the method has fast speed and high accuracy of tea classification, which is 97.96%.

CONCLUSION: Compared with state-of-the-art methods, our method has better performance than six state-of-the-art methods.
more »

Gingivitis detection by Fractional Fourier Entropy and Particle Swarm Optimization
Appears in:
el 21(21): e5

Author:
Yan Yan

Published:
28th Apr 2021

Abstract:
INTRODUCTION: we propose a detection model of gingivitis based on feature extraction based on particle swarm optimization neural network with fractional Fourier entropy. OBJECTIVES: For the sake of reduce the diagnostic burden of doctors' frequent and high concentration. METHODS: Pri…INTRODUCTION: we propose a detection model of gingivitis based on feature extraction based on particle swarm optimization neural network with fractional Fourier entropy. OBJECTIVES: For the sake of reduce the diagnostic burden of doctors' frequent and high concentration. METHODS: Primarily, Fourier transform is applied to the collected image signal, and the entropy is extracted from the gingival image by Shannon entropy so as to get the input value. The particle swarm optimization algorithm was combined with the extraction eigenvector is used to detect whether patients have gingivitis in final. RESULTS: The experimental results show that this method can reduce the unnecessary space of image detection, reduce the complexity of image information, and achieve a sensitivity of 79.00±1.61%, specificity of 80.89±1.87% and accuracy of 79.94±0.96%. CONCLUSION: This optimized algorithm can effectively and accurately cluster the sample data, and the accuracy is also higher than the advanced gingival image diagnosis method, making the gingivitis diagnosis more accurate. Our neural network has good trainability and recognition ability, which makes a unique contribution to medically intelligent detection methods for gingival treatment.
more »
Facial expression recognition via transfer learning
Appears in:
el 21(21): e4

Author:
Bin Li

Published:
8th Apr 2021

Abstract:
INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life. How to improve the accuracy of facial emotion recognition is an important r…INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life. How to improve the accuracy of facial emotion recognition is an important research content.

OBJECTIVES: In today's facial expression recognition, there are problems such as weak generalization ability and low recognition accuracy. Aiming to improve the current facial expression recognition problems, we propose a novel facial emotion recognition method.

METHODS: This paper focuses on the deep learning-based static face image expression recognition method, and combines transfer learning and deep residual network ResNet-101 to realize facial expression recognition.

RESULTS: The simulation results show that the overall accuracy of our method is 96.29± 0.78%.

CONCLUSION: The performance of this model is superior to the current mainstream face emotion recognition models. In the future research, we will try other methods based on deep learning.
more »
Smart University: A Premise for Regional Development. Evidence from South-East Region of Romania
Appears in:
el 21(21): e3

Author:
G. Marchis

Published:
19th Mar 2021

Abstract:
INTRODUCTION: A Smart University is a creative environment with a high level of adaptive capacity building to current societies’ challenges. From regional development planning perspective, a Smart University proves an anticipatory rather than reactionary adaptation to the context cond…INTRODUCTION: A Smart University is a creative environment with a high level of adaptive capacity building to current societies’ challenges. From regional development planning perspective, a Smart University proves an anticipatory rather than reactionary adaptation to the context conditions, providing more development alternatives into the future, assuring in this way the regional performance and competitiveness.

OBJECTIVES: The paper tackles 3 important perspectives of the role of HEIs from South-East region of Romania to regional development: The University as an Education and Training Platform, The University as a Research Platform and The University as a Knowledge and Technology Transfer Platform. An interesting research question becomes whether and to what extent the academia can contribute to territorial development policies in South-East region of Romania?

METHODS: This research-paper highlights the main characteristics of the academic environment of South-East region analysing at intra-regional level, the educational offer and the results of HEIs activities in the fields of research and knowledge transfer.

RESULTS: A Smart University should first and foremost help the local community to develop their territorial capital, which is defined by OCDE as “an ensemble of geographical (accessibility, agglomeration economies, natural resources), economic (factor endowments, competences), cognitive (knowledge, human capital, cooperation networks), social (solidarity, trust, associations), and cultural assets (“understandings, customs and informal rules that enable economic agents to work together under conditions of uncertainty”).

CONCLUSION: Rethinking higher education system is the first step in boosting regional development in the digital age.
more »
Application of ARCS Model for a Blended Teaching Methodologies: A Study of Students’ Motivation amid the COVID-19
Appears in:
el 21(21): e2

Authors:
U.K. Durrani, M.M. Kamal

Published:
17th Feb 2021

Abstract:
INTRODUCTION: A well-developed course in accordance with sound instructional design principles and successfully delivered multiple times in a traditional face-to-face classroom mode failed to stimulate students’ motivation to learn in an online delivery mode amidst the COVID-19 outbreak. This paper…INTRODUCTION: A well-developed course in accordance with sound instructional design principles and successfully delivered multiple times in a traditional face-to-face classroom mode failed to stimulate students’ motivation to learn in an online delivery mode amidst the COVID-19 outbreak. This paper contributes by presenting a case study on the application of ARCS models to enhance efficacy of an online course and students engagement.

OBJECTIVES: A motivational framework based on the processes outlined in the ARCS model, implemented, and tested using a single-case study.

METHODS: A cohort of seventy-five undergraduate students aged between 24 to 29 years from different program majors enrolled in a six-week mandatory IT in Business course participated in this research. A blend of a traditional flipped classroom and gamified teaching methodologies were applied in alignment with the ARCS model’s four motivational factors: attention, relevance, confidence, and satisfaction, associated process, and strategies. Before, during, and after treatment surveys based on the original Instructional Material Motivation Survey (IMMS) with 36 questions were conducted to determine the effectiveness of blended teaching methodologies (BTM) on students’ motivation.

RESULTS: The BTM based on the ARCS model, process, and strategies have enhanced and/or sustained students’ motivation and kept the subject interesting in an online environment, and ultimately improved their learning.

CONCLUSION: An adaptive implementation of BTM aligned with ARCS models, process, and associated strategies can enable the enhancement and/or sustainability of students’ motivation. The lecturers or designer should identify the right combination of BTM and activities through iterative motivational feedback of the students during course delivery.
more »
Accessibility Assessment for Online Education Tools: Towards Accessible Principles for a Mexican University
Appears in:
el 21(21): e1

Authors:
S. B. Fajardo-Flores, L. S. Gaytan-Lugo, P. C. Santana-Mancilla, M. A. Rodriguez-Ortiz

Published:
17th Feb 2021

Abstract:
INTRODUCTION: Characteristics of different disabilities using digital technologies are presented. Web content Accessibility Guidelines (WCAG) are explained according to their principles and how each offers alternatives for the limitations of people with disab…INTRODUCTION: Characteristics of different disabilities using digital technologies are presented. Web content Accessibility Guidelines (WCAG) are explained according to their principles and how each offers alternatives for the limitations of people with disabilities and the conformance levels A, AA, AAA.

OBJECTIVES: Perform an automatic evaluation of two digital educational platforms for students to validate the conformance with WCAG in the three levels.

METHODS: Techniques derived from automatic checker assessment were used to complete this research.

RESULTS: Results showed that to fix the accessibility issues level A, the technical difficulty is low. Likewise, the investment of time and money is not as significant compared to the benefits that it represents.

CONCLUSION: Adopting the use of these automatic evaluation tools, developers will incorporate good accessibility practices as part of their experience.
more »
Empirical Study of Entrepreneurial Attitude and Entrepreneurial Intentions towards Entrepreneurship among PG Diploma Students in Chennai District
Appears in:
el 21(20): e5

Author:
J. Jose Prahbu

Published:
5th Feb 2021

Abstract:
The present short article is an attempt that has been made to examine the students’ attitude and intentions in the direction of Entrepreneurship in Chennai City. Entrepreneurial Personality type consists of the human features, capabilities, motives, mindsets, and also worths that form the individua…The present short article is an attempt that has been made to examine the students’ attitude and intentions in the direction of Entrepreneurship in Chennai City. Entrepreneurial Personality type consists of the human features, capabilities, motives, mindsets, and also worths that form the individual person's experiences as well as actions. Entrepreneurial intentions are likewise taken into consideration as personal alignments which might cause venture developments. Hence, personality traits create the psychological and also behavioral procedures of people. Entrepreneurship is area relevance has elevated multifold over the last couple of decades around the world and also in the last number of years in India. Entrepreneurship has actually come to be a daily buzzword. Policymakers, economists, academics and even college students are discussing it.
more »
Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class
Appears in:
el 21(20): e4

Authors:
Vithya Ganesan, V. Govindarajan, Pachipala Yellamma, Naren. J

Published:
12th Jan 2021

Abstract:
Learning models have been widely used in predicting diseases, disorders, behaviour aspects in human beings etc. The current research gives an analytical study on predicting University students’ behaviour with various Machine Learning approaches. Research shows tha…Learning models have been widely used in predicting diseases, disorders, behaviour aspects in human beings etc. The current research gives an analytical study on predicting University students’ behaviour with various Machine Learning approaches. Research shows that Machine Learning approaches outwit the strategies especially in Student behaviour analysis. An analytical study on various learning approaches and its application in Behaviour Analysis is vividly presented in the paper. The study would give an understanding on how various learning approaches could be applied in Student Behaviour Analysis that includes academic performance, behavioural study with reference to courses, Online teaching modes etc. The paper also encompasses comparison with various Machine Learning approaches in student behavioural prediction.
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Evaluating Factors for Student Success in a Flipped Classroom Approach
Appears in:
el 21(20): e3

Author:
A. A. Moore

Published:
3rd Dec 2020

Abstract:
This paper describes the application of flipped and blended learning techniques to a Final Year Computer Science course in a UK University. All student interactions with the course are recorded in the institution’s Virtual Learning Environment and a number of metrics of engagement are identified an…This paper describes the application of flipped and blended learning techniques to a Final Year Computer Science course in a UK University. All student interactions with the course are recorded in the institution’s Virtual Learning Environment and a number of metrics of engagement are identified and assessed as potential indicators of success. A statistical analysis of these metrics revealed that although attendance remains a significant indicator of student success in this scenario, consistency of engagement is a more accurate guide. Results show that students with a longest average gap between engagements of 12 days or fewer are likely to achieve the highest grade, while measuring the number of days on which material was accessed or measuring the total time spent engaging with the material are less reliable measures.
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Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network
Appears in:
el 21(20): e2

Authors:
Ya Gao, Chengchong Jia, Hongli Chen, Xianwei Jiang

Published:
12th Oct 2020

Abstract:
INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak. Chinese fingerspelling is an important component of Chinese sign language, which is suitable for denoting terminology and using as…INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak. Chinese fingerspelling is an important component of Chinese sign language, which is suitable for denoting terminology and using as the basis of gesture sign language learning. OBJECTIVES: We propose a nine-layer convolutional neural network (CNN) for the classification of Chinese sign language. METHODS: With self-learning and self-organization abilities, CNN is committed to processing data with similar network structure. CNN has a good application prospect in the aspect of image classification andplays a very important role in the classification of Chinese sign language. RESULTS: Through experiments on 1320 data samples of 30 categories, the results show that the classification accuracy based on the nine-layer convolutional neural network can reach up to 89.69± 2.10 %, it can be seen that this method can effectively classify Chinese gestures. CONCLUSION: We proposed a nine-layer convolutional neural network (CNN) that can classify Chinese sign language.
more »
Chinese fingerspelling recognition via gray-level co-occurrence matrix and fuzzy support vector machine
Appears in:
el 21(20): e1

Authors:
Yalan Gao, Cheng Xue, Ran Wang, Xianwei Jiang

Published:
12th Oct 2020

Abstract:
INTRODUCTION: Chinese deaf-mutes communicate in their native language, Chinese sign language which contains gesture language and finger language. Chinese finger language conveys information through various movements of fingers, and its expression is accurate and convenient for …INTRODUCTION: Chinese deaf-mutes communicate in their native language, Chinese sign language which contains gesture language and finger language. Chinese finger language conveys information through various movements of fingers, and its expression is accurate and convenient for classification and recognition. OBJECTIVES: In this paper, we proposed a new model using gray-level co-occurrence matrix (GLCM) and fuzzy support vector machine (FSVM) to improve sign language recognition accuracy. METHODS: Firstly, we acquired the sign language images directly by a digital camera or selected key frames from the video as the data set, meanwhile, we segmented the hand shapes from the background. Secondly, we adjusted the size of each images to N×N and then switched them into gray-level images. Thirdly, we reduced the dimension of the intensity values by using the Principal Component Analysis (PCA) and acquired the data features by creating the gray-level co-occurrence matrix. Finally, we sent the extracted and reduced dimensionality features to Fuzzy Support Vector Machine (FSVM) to conduct the classification tests. RESULTS: Moreover, we compared it with similar algorithms, and the result shows that our method performs the highest classification accuracy which is up to 86.7%. CONCLUSION: The experiment result displays that our model performs well in Chinese finger language recognition and has potential for further research.
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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:
1997

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:
1576

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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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:
1261

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%.
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Using arcade games to engage students in the learning of foreign and mother languages
Appears in:
el 15(2): e2

Author:
Adelina Moura

Downloads:
1214

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 »
Digital Facial Augmentation for Interactive Entertainment
Appears in:
el 15(8): e3

Authors:
Naoto Hieda, Jeremy Cooperstock

Downloads:
1148

Abstract:
Digital projection technology allows for effective and entertaining spatial augmented reality applications. Leveraging the capabilities of reasonably accurate object tracking using commodity cameras and/or depth sensors to determine the 3D position and pose of objects in real time, it is possible t…Digital projection technology allows for effective and entertaining spatial augmented reality applications. Leveraging the capabilities of reasonably accurate object tracking using commodity cameras and/or depth sensors to determine the 3D position and pose of objects in real time, it is possible to project dynamic graphical content on arbitrary surfaces, such as a person’s face. Coupling these capabilities with a simple drawing application, participants can have the experience of "painting" on someone’s face, or even on their own, by observing the projection in a mirror. Similarly, integrating 2D rigid-body, fluid and gravity simulation, one may interact with virtual objects projected on their own face or body.
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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:
1144

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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Learning and gamification: a possible relationship?
Appears in:
el 17(16): e1

Authors:
Leonardo Caporarello, Massimo Magni, Ferdinando Pennarola

Downloads:
1136

Abstract:
One of the most interesting and disruptive trends in the current elearning scenario is gamification, that is, the use of game design elements in non-game contexts. After providing a brief overview of the main contemporary gamification applications in organizations, this paper especially focuses on …One of the most interesting and disruptive trends in the current elearning scenario is gamification, that is, the use of game design elements in non-game contexts. After providing a brief overview of the main contemporary gamification applications in organizations, this paper especially focuses on gamification in the educational field. It discusses the existing studies on the effectiveness of gamification for learning purposes, analyzing their impact on students’ attitude, knowledge and behavior. Finally, it highlights the main gaps in the current literature, pointing to new directions of research.
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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:
1127

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.
more »
Blended learning for developing effective virtual teams: a proposed intervention format
Appears in:
el 16(12): e4

Authors:
Cristiano Ghiringhelli, Alessandra Lazazzara

Downloads:
1107

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.
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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:
1105

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.
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Publisher: EAI
ISSN: 2032-9253
Number of Volumes: 7

Last Published: 2021-04-29

EAI Endorsed Transactions on e-Learning

Yu-Dong Zhang (Eugene)1

Marco Zappatore2

Yu-Dong Zhang (Eugene)¹

Marco Zappatore²