scholarly journals A context-aware knowledge map to support ubiquitous learning activities for a u-Botanical museum

2015 ◽  
Vol 31 (4) ◽  
Author(s):  
Shu-Lin Wang ◽  
Chia-Chen Chen ◽  
Zhe George Zhang
Keyword(s):  
Technology Acceptance ◽  
Mental Workload ◽  
Botanical Garden ◽  
Vital Role ◽  
Learning System ◽  
Knowledge Map ◽  
Context Aware ◽  
Digital Learning ◽  
Learning Intention ◽  
Real Objects

<p>Recent developments in mobile and wireless communication technologies have played a vital role in building the u-learning environment that now combines both real-world and digital learning resources. However, learners still require assistance to control real objects and manage the abundance of available materials; otherwise, their mental workload could become so high that learning becomes less effective. The learner is the priority in every learning situation and is, therefore, a crucial factor in executing u-learning. This study presents a u-learning system that integrates context awareness and ontological technology to design a context-aware knowledge map (CAKM) to improve learning efficiency. A case study of an Orchid Island botanical ecosystem course was conducted in classrooms and at the Botanical Garden of National Museum of Natural Science in Taiwan. Participants were university teachers and students. A questionnaire based on the technology acceptance model (TAM) theory was designed and used to measure the willingness for adoption or usage of the proposed system. The results demonstrate that this innovative approach can enhance learning intention. The results also indicate that this CAKM not only substantially improves the effectiveness of subject learning but also enhances the usability of u-learning systems in the museum environment.</p><p> </p>

scholarly journals Telepresence and Interactivity in Mobile Learning System: Its Relation with Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
Na Wei ◽  
ZhongWu Li
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Open Innovation ◽  
Online Survey ◽  
Mediating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Flow Experience ◽  
Mobile Learning System ◽  
System Characteristics

Mobile learning applications enable people to spend fragmented time to improve their knowledge and competitiveness. Enterprises aim to design innovative applications and create a new learning mode for the public, and the open innovation strategies may help companies achieve their goals. In the current study, the English learning application “LAIX” was investigated, and an online survey was used to obtain data from 289 university students in Guangzhou. This study combines the technology acceptance model (TAM) with flow theory (FT), investigating the psychological experience factors and the system characteristics that influence users’ behavior intentions. The exploration of perceptual variables will promote the establishment of an open innovation model of mobile learning applications. The aim of the study was to establish a theoretical framework to more deeply explore users’ intentions in mobile learning applications. Structural equation modeling (SEM) was used to help measure the relationship between variables and determine the model fit. This research reveals that telepresence is the most important variable that impacts user intentions to use mobile learning applications. In addition, the mediating effect of the flow experience was tested. Telepresence and interactivity indirectly influence behavioral intention through the variable “flow”. Users appear to be more concerned with the flow experience, which shows the highest correlation with intention to use the application. This study may assist companies to innovate system characteristics and improve customers’ user experience, for instance, by integrating virtual reality (VR) technology into the mobile learning system to improve their open innovation level and market popularity.

scholarly journals POSSIBILITIES OF DEVELOPING INTERACTIVE E-LEARNING SYSTEM FOR BORDER GUARDS TRAINING IN THE STATE BORDER GUARD COLLEGE OF THE REPUBLIC OF LATVIA

2020 ◽  
Vol 3 (8) ◽  
pp. 45-53
Author(s):  
Mārtiņš Spridzāns ◽  
Jans Pavlovičs ◽  
Diāna Soboļeva
Keyword(s):  
Scientific Literature ◽  
Online Communication ◽  
The State ◽  
Learning Systems ◽  
Learning System ◽  
Digital Learning ◽  
E Learning ◽  
Research Findings ◽  
The Republic ◽  
Learning Development

Efficient use of educational technology and digital learning possibilities has always been the strategic area of high importance in border guards training at the State Border Guard College of Latvia. Recently, issues related to training during the Covid-19, have spurred and revived the discussion, topicality and practical need to use the potential of e-learning opportunities which brought up unexpected, additional, previously unsolved, unexplored, challenges and tasks to border guards training. New opportunities and challenges for trainers, learners and administration of training process both in online communication and learning administration contexts. In order to find out and define further e-learning development possibilities at the State Border Guard College the authors of this research explore the scientific literature on the current research findings, methodologies, approaches on developing interactive e-learning systems in educational contexts, particularly within the sphere of law enforcement. Based on scientific literature research findings authors put forward suggestions on improving the e-learning systems for border guards training.

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

scholarly journals Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating

2020 ◽  
Author(s):  
Hongfei Xu ◽  
Deyi Xiong ◽  
Josef van Genabith ◽  
Qiuhui Liu
Keyword(s):  
Machine Translation ◽  
Contextual Information ◽  
Computational Cost ◽  
Representation Learning ◽  
Vital Role ◽  
Context Aware ◽  
Neural Machine Translation ◽  
Gating Mechanism ◽  
Sentence Level ◽  
Parallel Data

Existing Neural Machine Translation (NMT) systems are generally trained on a large amount of sentence-level parallel data, and during prediction sentences are independently translated, ignoring cross-sentence contextual information. This leads to inconsistency between translated sentences. In order to address this issue, context-aware models have been proposed. However, document-level parallel data constitutes only a small part of the parallel data available, and many approaches build context-aware models based on a pre-trained frozen sentence-level translation model in a two-step training manner. The computational cost of these approaches is usually high. In this paper, we propose to make the most of layers pre-trained on sentence-level data in contextual representation learning, reusing representations from the sentence-level Transformer and significantly reducing the cost of incorporating contexts in translation. We find that representations from shallow layers of a pre-trained sentence-level encoder play a vital role in source context encoding, and propose to perform source context encoding upon weighted combinations of pre-trained encoder layers' outputs. Instead of separately performing source context and input encoding, we propose to iteratively and jointly encode the source input and its contexts and to generate input-aware context representations with a cross-attention layer and a gating mechanism, which resets irrelevant information in context encoding. Our context-aware Transformer model outperforms the recent CADec [Voita et al., 2019c] on the English-Russian subtitle data and is about twice as fast in training and decoding.

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

Business Process Reengineering of Digital Learning Ecosystems

2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Technology Acceptance Models ◽  
Higher Institution ◽  
E Learning

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.

Context-Aware Identity Management in Pervasive Ad-hoc Environments

2009 ◽  
Vol 1 (4) ◽  
pp. 29-42 ◽  
Author(s):  
Abdullahi Arabo ◽  
Qi Shi ◽  
Madjid Merabti
Keyword(s):  
Ad Hoc ◽  
Identity Management ◽  
Emergency Services ◽  
Contextual Information ◽  
Vital Role ◽  
Point Of View ◽  
Context Aware ◽  
Information And Communication ◽  
Proximity Services ◽  
Hoc Networks

Contextual information and Identity Management (IM) is of paramount importance in the growing use of portable mobile devices for sharing information and communication between emergency services in pervasive ad-hoc environments. Mobile Ad-hoc Networks (MANets) play a vital role within such a context. The concept of ubiquitous/pervasive computing is intrinsically tied to wireless communications. Apart from many remote services, proximity services (context-awareness) are also widely available, and people rely on numerous identities to access these services. The inconvenience of these identities creates significant security vulnerability as well as user discomfort, especially from the network and device point of view in MANet environments. In this article, the authors address how contextual information is represented to facilitate IM and present a User-centered and Context-aware Identity Management (UCIM) framework for MANets.

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