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

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

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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Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class
Appears in:
el 18: 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 18: 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 18: 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.
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Chinese fingerspelling recognition via gray-level co-occurrence matrix and fuzzy support vector machine
Appears in:
el 18: 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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Hearing loss classification via stationary wavelet entropy and Biogeography-based optimization
Appears in:
el 20(19): e5

Authors:
Chong Yao, Chaosheng Tan, Junding Sun

Published:
7th Aug 2020

Abstract:
Introduction: Sensorineural hearing loss is associated with many complications and needs timely detection and diagnosis. Objectives: Optimize the sensorineural hearing loss detection system to improve the accuracies of image detection. Method: The stationary wavelet entropy was used to extr…Introduction: Sensorineural hearing loss is associated with many complications and needs timely detection and diagnosis.

Objectives: Optimize the sensorineural hearing loss detection system to improve the accuracies of image detection.

Method: The stationary wavelet entropy was used to extract the features of NMR images, the single hidden layer neural network was used for classification, and the BBO algorithm was used for optimization to avoid the dilemma of local optimum. We used two-level SWE as input to the classifier to enhance the identify and classify ability of hearing loss.

Results: The results of 10-fold cross validation show that the accuracies of HC, LHL and RHL are 91.83± 3.09%, 92.67±2.38% and 91.17±2.61%, respectively. The overall accuracy is 91.89±0.70%.

Conclusion: This model has good performance in detecting hearing loss.
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Facial emotion recognition via stationary wavelet entropy and Biogeography-based optimization
Appears in:
el 20(19): e4

Authors:
Xiang Li, Chaosheng Tang, Junding Sun

Published:
29th Jul 2020

Abstract:
INTRODUCTION: As one of the important research directions in the field of computer vision, facial emotion recognition plays an important role in people's daily life. How to make the computer accurately read facial emotion is an important research content. OBJECTIVES: In the current research on …INTRODUCTION: As one of the important research directions in the field of computer vision, facial emotion recognition plays an important role in people's daily life. How to make the computer accurately read facial emotion is an important research content.

OBJECTIVES: In the current research on facial emotion recognition, there are some problems such as poor generalization ability of network model and low robustness of recognition system. To solve above problems, we propose a novel facial emotion recognition method.

METHODS: Our method of feature extraction using the stationary wavelet entropy, which combines single hidden layer feedforward neural network with biogeography-based optimization for facial emotion recognition.

RESULTS: The simulation results show that the overall accuracy of our method is 93.79±1.24%.

CONCLUSION: This model is superior to the current mainstream facial emotion recognition models in the performance of facial emotion detection. In future research, we will try deep learning and other training methods.
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MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes
Appears in:
el 20(19): e3

Authors:
Aris Papakonstantinou, Haridimos Kondylakis, Emmanouil Marakakis

Published:
26th Mar 2020

Abstract:
The early and accurate identification of a disease is important for its effective treatment. However, medical errors represent a serious problem and pose a threat to patient safety. To this direction, appropriate and continuous education of the medical personnel has been widely recognized as an imp…The early and accurate identification of a disease is important for its effective treatment. However, medical errors represent a serious problem and pose a threat to patient safety. To this direction, appropriate and continuous education of the medical personnel has been widely recognized as an important mean to reduce medical errors and increase the quality of the health system. In this paper, we present MediExpert, an expert system targeting on continuous education of health personnel, providing also guidelines to persons that either cannot easily move due to age related comorbidities, or because they are away from healthcare units, further recommending users to talk with their doctors. It is based on differential diagnosis, employs ontologies for effective classification of health related problems and intelligent algorithms to enhance continuous education. We present the various components of the system and we elaborate on the benefits gained when using it for education.
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A Project-Based Learning Approach to Teaching Computer Architecture
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el 20(19): e2

Author:
D. Cenk Erdil

Published:
17th Dec 2019

Abstract:
This article describes details of design and implementation of an upper-level (core-Tier2) computer organization and architecture course with an online hands-on component as a blended learning environment. The revised course content is based on contemporary pedagogical approaches: blended learning…This article describes details of design and implementation of an upper-level (core-Tier2) computer
organization and architecture course with an online hands-on component as a blended learning environment. The revised course content is based on contemporary pedagogical approaches: blended learning, flipped classroom, lead learner, and project-based learning. While revising, ACM/IEEE-CS computing curricula guidelines were aligned with new modules being implemented. Online hands-on component of the course have been focused on using a single-board computer, and associated hardware to provide students relevant skills in designing projects that include hardware and software components. Research data collected after first two cohorts of the revised course show that implementation of the course was received well by the students, which improved the overall course reviews, while maintaining relevant levels of curricular material that includes core knowledge areas.
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A Case Study on the Development of Adult Language, Literacy and Numeracy Skills
Appears in:
el 20(19): e1

Author:
Mohiuddin Ahmed

Published:
15th Jul 2019

Abstract:
Language, literacy and numeracy (LLN) are integral part of our lives, especially in workplace. In this paper, the current research on adult LLN practices are investigated. A case study based on a group of students’ LLN scores are presented in this paper. The scores are analysed and appropriate sup…Language, literacy and numeracy (LLN) are integral part of our lives, especially in workplace. In this paper,
the current research on adult LLN practices are investigated. A case study based on a group of students’ LLN scores are presented in this paper. The scores are analysed and appropriate support strategies are proposed to achieve the expected level of LLN for their qualification. There is a significant lack of research and methods to improve the LLN scores in the vocational sector to match the desired level of qualification and hence a case study in this area can be used as a reference. Additionally, the proposed approaches are purely based on classroom teaching and hence leaves a footprint to investigate further to identify ways to formalize these approaches. This contributions made in this paper will be helpful for academics and teaching staffs in the adult education sector. This paper can be used as a general reference for any qualification in the vocational education sector.
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Orchestrating a Pan-African University Alliance with the help of e-learning
Appears in:
el 18(18): e5

Authors:
Alisa Sydow, Benedetto Lorenzo Cannatelli, Alessandro Giudici

Published:
30th Oct 2018

Abstract:
Taking the salient case of an Italian Foundation that started to create a Pan-African university alliance for entrepreneurship education, we conducted a field study based on interviews and observation for a period of seven years. The aim was to understand how to overcome challenges that arise when …Taking the salient case of an Italian Foundation that started to create a Pan-African university alliance for entrepreneurship education, we conducted a field study based on interviews and observation for a period of seven years. The aim was to understand how to overcome challenges that arise when fostering entrepreneurship education programs (EEP) by orchestrating an inter-organizational network in Africa. Our study revealed that proximity and contextualization play a strategic and crucial role in orchestrating an entrepreneurial eco-system in a context shaped by resource scarcity and solid societal as well as economic problems. We contribute to scholarly and practitioner understandings of how to establish effectively EEPs together with the orchestration of an entrepreneurial eco-system in Africa.
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Analysis of Student Online Interaction Behavior: A Social Relationship Perspective
Appears in:
el 18(18): e4

Authors:
Peiyan Yuan, Hai Yu, Ping Liu

Published:
30th Oct 2018

Abstract:
Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled fro…Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled from a large-scale perspective, i.e., by aggregating all node pairs, the contact features of nodes with multiple social relationships are not reflected. Thus, it is not clear whether friends and strangers have similar or different contact behaviors. In this study, we aggregated the contact information of users from the real world, and discovered that two phenomena exist: (1) Most friends or strangers make contact at public hotspots, rather than private hotspots; (2) The distribution of intra-contact time (ICT) exhibits different decay factors---the ICT distribution of strangers is predominantly faster than that of friends.
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Innovation and Implementation of E-interactive Teaching and Learning System for History Theory Course of Sino-foreign Cooperative School-running Specialty
Appears in:
el 18(18): e3

Authors:
Tiejun Zhu, Michael Berry

Published:
30th Oct 2018

Abstract:
In the course system of Sino-foreign cooperative school-running specialty in Chinese universities, the history theory course occupies a certain proportion, but teaching results are less effective, especially in design major. The foremost reason is that the students of design majors in Chinese unive…In the course system of Sino-foreign cooperative school-running specialty in Chinese universities, the history theory course occupies a certain proportion, but teaching results are less effective, especially in design major. The foremost reason is that the students of design majors in Chinese universities emphasize more on practice and less on theories and they have less interest in learning the design history course. In order to change the phenomenon, we carried out an exploratory research where the course of Modern Design History, set up by China and United States universities' cooperative specialty, was regarded as a pilot of reform. We creatively applied diversified and emerging E-teaching and learning innovative model for design history course and launched empirical research by adopting current international prevailing network teaching resources and methods. Through practical application, the teaching effect was found outstanding.
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Studying lecturers’ behaviour patterns in Learning Management System on diﬀerent training modalities and knowledge areas
Appears in:
el 18(18): e2

Authors:
Magdalena Cantabella, Raquel Martínez-España, Belén López, Juan Antonio Yañez, Andrés Muñoz

Published:
30th Oct 2018

Abstract:
Learning Management Systems (LMS) have become the principal resource for collaboration among lecturers and students in Higher Education. A research line is the analysis of LMS users’ behaviour with the goal of developing new methodological proposals to improve the teaching process. In particular, t…Learning Management Systems (LMS) have become the principal resource for collaboration among lecturers and students in Higher Education. A research line is the analysis of LMS users’ behaviour with the goal of developing new methodological proposals to improve the teaching process. In particular, this paper analyses the lecturers’ behaviour and proposes an alternative vision of teaching evaluation on the use of LMS. Two methods are employed:(1) surveys, to measure the students’ perception on the lecturers’ methodology applied in the LMS; and (2) a statistical analysis of the events generated by lecturers in the LMS. The data have been obtained from degrees that are imparted in diﬀerent teaching modalities (on-campus, blended and online). These data have been compared over the time period of the two academic years. Among some of the ﬁndings of the study, it is observed that students may negatively perceive an excessive monitoring and availability of resources provided by lecturers.
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Systematic Review of Utilized ICTs in Quality Assurance and Accreditation of Higher Education and a Case Study of Developing Country
Appears in:
el 18(18): e1

Authors:
A. S. Haris, H. Washizaki, Y. Fukazawa

Published:
30th Oct 2018

Abstract:
Numerous studies and surveys have examined the utilization of Information and Communication Technologies (ICTs) in Higher Education (HE), but the lack of studies on the utilization of ICTs in Quality Assurance and Accreditation (QAA) of HE led us to perform a Systematic Literature Review (SLR). Thi…Numerous studies and surveys have examined the utilization of Information and Communication Technologies (ICTs) in Higher Education (HE), but the lack of studies on the utilization of ICTs in Quality Assurance and Accreditation (QAA) of HE led us to perform a Systematic Literature Review (SLR). This review mainly benefits QAA agencies and researchers interested in utilizing ICTs for QAA of HE. Several contributions of ICTs to QAA of HE are identified. 1) Compared to QAA agencies, Higher Education Institutions (HEIs) are more likely to implement ICTs. 2) Most ICTs in HEIs are for Quality Assurance (QA). 3) Most previous studies were conducted in Europe, demonstrating that efforts have been made to align QAA agencies and HEI QAA units with European Standards. Consequently, ICTs are more often utilized by European HEIs. Furthermore, we investigated the QAA status in a developing country (Afghanistan) as a case study.
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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:
1783

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:
1422

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:
1186

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:
1103

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

Authors:
Naoto Hieda, Jeremy Cooperstock

Downloads:
1067

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

Authors:
Leonardo Caporarello, Massimo Magni, Ferdinando Pennarola

Downloads:
1037

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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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:
998

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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From structured to unstructured learning via a technology-mediated learning framework
Appears in:
el 18(17): e5

Authors:
Lindsay Miller, Junjie Gavin Wu

Downloads:
978

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

Authors:
Cristiano Ghiringhelli, Alessandra Lazazzara

Downloads:
972

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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Education in a Smart City: Future Impacts on Education?
Appears in:
el 14(4): e1

Author:
J. Braman

Downloads:
970

Abstract:
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Publisher: EAI
ISSN: 2032-9253
Number of Volumes: 6

Last Published: 2020-08-07

EAI Endorsed Transactions on e-Learning

Yu-Dong Zhang (Eugene)1

Marco Zappatore2

Yu-Dong Zhang (Eugene)¹

Marco Zappatore²