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- ArticleSeptember 2023
Readiness for Smart Learning: Reflection on Challenges Faced by Students and Academics in Higher Education Institutions
AbstractTechnology-based learning encompasses knowledge transmission, interactions, facilitation, evaluations, research, and monitoring. Smart learning at limited-resource higher education institutions presents significant challenges. We focus on five ...
- research-articleMarch 2023
Exploring quality attributes of smart classrooms from the perspectives of academics
Education and Information Technologies (KLU-EAIT), Volume 28, Issue 10Pages 13109–13151https://doi.org/10.1007/s10639-022-11452-3AbstractThe purpose of this study is to explore attributes that influence the quality of smart classrooms from the perspective of higher education teachers. Relying on a purposive sample of 31 academicians from Gulf Cooperation Council (GCC) countries, ...
- research-articleDecember 2022
Towards intelligent E-learning systems
Education and Information Technologies (KLU-EAIT), Volume 28, Issue 7Pages 7845–7876https://doi.org/10.1007/s10639-022-11479-6AbstractThe prevalence of e-learning systems has made educational resources more accessible, interactive and effective to learners without the geographic and temporal boundaries. However, as the number of users increases and the volume of data grows, ...
- research-articleSeptember 2022
Collaborative interactions in problem-solving activities: School children’s orientations while developing digital game designs using smart mobile technology
International Journal of Child-Computer Interaction (IJCCI), Volume 33, Issue Chttps://doi.org/10.1016/j.ijcci.2022.100456AbstractDigital technologies in combination with creative activities have been introduced in schools as a strategy for learning and teaching activities offering scaffolding opportunities. Additionally, digital game-based learning (DGBL) activities have ...
- research-articleAugust 2022
A study on the components of a smart education system
ICDEL '22: Proceedings of the 7th International Conference on Distance Education and LearningPages 35–40https://doi.org/10.1145/3543321.3543327The development of modern information technology has brought innovative ideas to education and promoted the rapid development of smart education. This paper analyses the differences between traditional and smart education through the changes in teaching ...
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- research-articleDecember 2021
Cognitive, Virtual and Physical Context in Smart Learning
TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)Pages 461–463https://doi.org/10.1145/3486011.3506563This edition brings together experiences that have been conducted mostly in a non-face-to-face teaching context due to the Covid-19 pandemic. Perhaps for this reason, the learning context has set a common line of research within this field. Four papers ...
- ArticleAugust 2021
Learning Path Recommendation for MOOC Platforms Based on a Knowledge Graph
Knowledge Science, Engineering and Management Pages 600–611https://doi.org/10.1007/978-3-030-82147-0_49AbstractWith the development of Internet technologies and the increasing demand for knowledge, increasingly more people choose online learning platforms as a way to acquire knowledge. However, the rapid growth in the types and number of courses makes it ...
- ArticleJuly 2021
What are we Supposed to be Learning? Motivation and Autonomy in Smart Learning Environments
Distributed, Ambient and Pervasive InteractionsPages 235–249https://doi.org/10.1007/978-3-030-77015-0_17AbstractThis paper responds to participant interview comments made in the author’s research into experiencing smart learning from pedagogical analysis perspectives. Interviewees remarked on what was supposed to be learned as oppose to what they might have ...
- ArticleDecember 2020
Interactive Sensor-Based Virtual Experiment Digital Textbook System on Smart Phone and Learning Cloud
AbstractThis study looks at digital learning material as its qualified virtual practice/virtual experiment learning content and designs the best learning content to satisfy the existing definition of functions and services of digital learning material. ...
- research-articleJanuary 2021
Research topics on Smart Learning
- Rafael Molina-Carmona,
- Carlos J. Villagrá Arnedo,
- Francisco J. Gallego-Durán,
- Faraón Llorens-Largo,
- Inmaculada Meca,
- Ana Pérez Escoda,
- Sergio Serrano-Iglesias,
- Esther Sobrino,
- Alex Rabasa,
- Adolfo Ruiz Calleja
TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 231–237https://doi.org/10.1145/3434780.3436708The third edition of the Smart Learning track, in addition to representing its consolidation, with four high level papers accepted, has been special due to the circumstances caused by the fact that it has been online. For this reason, the track session ...
- research-articleJanuary 2021
Smartly Learning through step decomposition, automation and Gamification
TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 256–262https://doi.org/10.1145/3434780.3436619On previous years teaching Logic and Algebra many student conceptual issues were identified by analysing their solution attempts to exercises. Present work proposes a new design of exercises and student workflow to target these issues. Classical ...
- ArticleSeptember 2020
CasualLearn: A Smart Application to Learn History of Art
- Adolfo Ruiz-Calleja,
- Miguel L. Bote-Lorenzo,
- Guillermo Vega-Gorgojo,
- Sergio Serrano-Iglesias,
- Pablo García-Zarza,
- Juan I. Asensio-Pérez,
- Eduardo Gómez-Sánchez
Addressing Global Challenges and Quality EducationPages 472–476https://doi.org/10.1007/978-3-030-57717-9_47AbstractSmart Learning promises the connection between formal and informal learning, but how to offer informal learning tasks related to formal learning is still a challenge. This demonstration paper presents CasualLearn, a smart learning application that ...
- ArticleJuly 2020
An Ambient and Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things
AbstractDespite recent advances in technology, personalized learning to address diverse needs of students remains difficult to achieve at scale. With the availability and affordability of smart devices in the era of the Internet of Things, learners, ...
- ArticleJuly 2020
Characterization of Learners from Their Learning Activities on a Smart Learning Platform
Learning and Collaboration Technologies. Designing, Developing and Deploying Learning ExperiencesPages 279–291https://doi.org/10.1007/978-3-030-50513-4_21AbstractAn smart learning system is a computer system that allows to personalize and adapt the learning process to the learner’s needs. To do so, it is necessary to characterize the student so that we can know how he or she learns. The aim of this ...
- ArticleJuly 2020
Smart Learning in the Community: Supporting Citizen Digital Skills and Literacies
Distributed, Ambient and Pervasive InteractionsPages 533–547https://doi.org/10.1007/978-3-030-50344-4_38AbstractThis paper discusses how smart learning in urban environments can mediate citizen digital skills and competences learning initiatives supported by standards such as the European Commission citizen Digital Competences Framework [8], thus helping a ...
- short-paperOctober 2019
Advances in Smart Learning
TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 649–652https://doi.org/10.1145/3362789.3362951We present the second edition of the Smart Learning track, with the intention of consolidating it and specifying the term. On this occasion, five works are presented that address the use of Artificial Intelligence to help students learn from different ...
- research-articleOctober 2019
Instructional Strategies for a Smart Learning System
TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 671–679https://doi.org/10.1145/3362789.3362915Nowadays educational environment presents a set of needs different than years ago and which are no constant anymore. We must assume a learning prepared for those changes and adapted to the student's learning needs and features. This can be achieved with ...
- short-paperOctober 2019
Machine Learning in Human-computer Nonverbal Communication
ICMI '19: NeuroManagement and Intelligent Computing Method on Multimodal InteractionArticle No.: 4, Pages 1–7https://doi.org/10.1145/3357160.3357670Nonverbal communication is an indispensable and omnipresent element of human behaviors which includes various ways such as human action, hand gesture, and facial expression, etc. As a basic means to express a person's attitudes, feelings, and emotions, ...
- short-paperOctober 2018
Smart Learning
TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 645–647https://doi.org/10.1145/3284179.3284288This is the first occasion Smart Learning track is included in TEEM Conference. Our current digital society faces challenges as preparing our students for an uncertain and changing environment. Learning systems based on technology, adapted to the ...
- articleDecember 2015
Factors affecting smart learning adoption in workplaces: comparing large enterprises and SMEs
Information Technology and Management (KLU-ITEM), Volume 16, Issue 4Pages 291–302https://doi.org/10.1007/s10799-014-0201-5The rapid diffusion of learning through smart devices has facilitated information acquisition and improved knowledge sharing. This study analyzes the adoption and diffusion of smart learning from the human resource development (HRD) managerial ...