Web-Based Learning for Adolescents

2022 ◽  
pp. 228-242
Author(s):  
Cyncia Matsika ◽  
Munyaradzi Zhou ◽  
Tinashe Gwendolyn Zhou ◽  
Wilfreda I. Chawarura
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Future Research ◽  
Learning Needs ◽  
Web Based ◽  
Course Content ◽  
Web Based Learning ◽  
Brick And Mortar ◽  
Adolescent Learning ◽  
Acceptance Model

This chapter assesses the innovations and challenges of web-based learning for adolescents. The technology acceptance model (TAM) was used to establish the determinants for the challenges and innovations of web-based learning for adolescents. Challenges coined include virtual engagement, adaptability, motivation, technical issues, time management, learning styles, destructions, communication skills, and the digital divide. Web-based learning is an emerging and innovative approach to teaching and learning that meets the evolving needs of adolescent learning. Adolescents should embrace the transformation from traditional brick-and-mortar classroom practices to a web-based environment. Stakeholders must continuously overcome the challenges of web-based learning. Future research can concentrate on developing well-defined web-based course content that supports the holistic learning needs of adolescents and the development of a web-based learning model for adolescents.

scholarly journals Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model

2016 ◽  
Vol 6 (3) ◽  
pp. 72 ◽  
Author(s):  
Ali Tarhini ◽  
Tariq Elyas ◽  
Mohammed Ali Akour ◽  
Zahran Al-Salti
Keyword(s):  
Technology Acceptance ◽  
Conceptual Model ◽  
Technology Acceptance Model ◽  
Technology Use ◽  
Organizational Factors ◽  
Learning System ◽  
Future Research ◽  
Web Based ◽  
Web Based Learning ◽  
Acceptance Model

<p>The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students’ acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to include four constructs namely, Quality of work life; Social Norm; Facilitating Conditions and self-efficacy. In addition, Individual differences—namely, age, gender, and experience—are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. A comprehensive understanding of this model will provide valuable insights into the factors that influence the acceptance or resistance of web-based learning system by intended users and offers opportunities for future research in understanding the acceptance of technology. Further, understanding these variables is helpful for instructors to design meaningful educational activities to promote student knowledge construction and make learning more effective and appealing.</p>

scholarly journals The Development of Web-Based Learning using Interactive Media for Science Learning on Levers in Human Body Topic

2020 ◽  
Vol 3 (2) ◽  
pp. 89-98
Author(s):  
Lia Astuti ◽  
Yaya Wihardi ◽  
Diana Rochintaniawati
Keyword(s):  
Technology Acceptance ◽  
Science Teachers ◽  
Human Body ◽  
Junior High School ◽  
Interactive Media ◽  
Traditional Learning ◽  
Web Based ◽  
Effective Learning ◽  
Web Based Learning ◽  
Acceptance Model

Integrated curriculum is a popular way to develop 21st-century skills, but most of the materials are written on the books separately. Furthermore, web-based learning is an online learning media that can be accessed using an internet connection anytime and anywhere. However, many educational websites do not apply the principles of effective learning. Besides, the traditional learning methods tend to be bored for the students. In order to solve this problem, this study designed a website education that uses interactive content to assist students in learning levers in the human body topic as one of the integrated science materials. The process of developing an educational website consists of three steps: (1) analysis, (2) design, (3) construction making. This research method used descriptive method, and the experts' judgment will evaluate it on content, language, and media/IT. The questionnaires used the technology acceptance model (TAM) and five-dimensional interactivity to investigate the readability of the subjects' perception responses. The research subject was three science teachers and 31 students on private Junior High School in Bandung. According to the result, generally, it has a good evaluation of each aspect. But, the website education needs a strong signal to access for not taking load time consumer.

scholarly journals Factors Affecting the Students' Intention to Use Web-Based Learning System

2017 ◽  
pp. 172-185
Author(s):  
Chong Chin Fook ◽  
Desmond Low Jia Chin ◽  
Lau Yoon Tah ◽  
Mok Chin Teik ◽  
Tee Fang Yuan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Web Based ◽  
Factors Affecting ◽  
Web Based Learning ◽  
Acceptance Model

This research examines the factors affecting students' intention to use web-based learning system by assessing the Technology Acceptance Model (TAM). Sample was targeted to a public higher learning institution in Federal Territory of Labuan Malaysia, which implemented convenience sampling technique. A total of 204 questionnaire sets were collected and multiple regressions analysis was used in the research to analyze the variables relationships in the theoretical framework proposed. Empirical research confirmed that students' use of web-based learning was positively influenced by attitude towards use, perceived usefulness, perceived ease of use, social influence, facilitating condition, and anxiety. Results may benefits the education and teaching industry in building web-based learning system effectively. The education and teaching industry should increase the quality their own web-based learning system referred to the results based on the variables in order to increase the user to their web-based learning system besides maximizing profit.

scholarly journals Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Agricultural Sector ◽  
Geographical Location ◽  
Ease Of Use ◽  
Content Quality ◽  
Learning Platform ◽  
Primary Determinant ◽  
E Learning ◽  
Acceptance Model

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.

scholarly journals Facilitators and barriers to the utilization of the ACT SMART Implementation Toolkit in community-based organizations: a qualitative study

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Aksheya Sridhar ◽  
Amy Drahota ◽  
Kiersten Walsworth
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Autism Spectrum ◽  
Ease Of Use ◽  
Science Literature ◽  
Community Based ◽  
Web Based ◽  
Community Based Organizations ◽  
Facilitators And Barriers ◽  
Acceptance Model

Abstract Background Evidence-based practices (EBPs) have been shown to improve behavioral and mental health outcomes for children diagnosed with autism spectrum disorder (ASD). Research suggests that the use of these practices in community-based organizations is varied; however, the utilization of implementation guides may bridge the gap between research and practice. The Autism Community Toolkit: Systems to Measure and Adopt Research-Based Treatments (ACT SMART) Implementation Toolkit is a web-based implementation toolkit developed to guide organization-based implementation teams through EBP identification, adoption, implementation, and sustainment in ASD community-based organizations. Methods This study examined the facilitators and barriers (collectively termed “determinants”) to the utilization of this toolkit, based on the perspectives of implementation teams at six ASD community-based organizations. Two independent coders utilized the adapted EPIS framework and the Technology Acceptance Model 3 to guide qualitative thematic analyses of semi-structured interviews with implementation teams. Results Salient facilitators (e.g., facilitation teams, facilitation meetings, phase-specific activities) and barriers (e.g., website issues, perceived lack of ease of use of the website, perceived lack of resources, inner context factors) were identified, highlighting key determinants to the utilization of this toolkit. Additionally, frequent determinants and determinants that differed across adapted EPIS phases of the toolkit were noted. Finally, analyses highlighted two themes: (a) Inner Context Determinants to use of the toolkit (e.g., funding) and (b) Innovation Determinants (e.g., all website-related factors), indicating an interaction between the two models utilized to guide study analyses. Conclusions Findings highlighted several factors that facilitated the utilization of this implementation guide. Additionally, findings identified key areas for improvement for future iterations of the ACT SMART Implementation Toolkit. Importantly, these results may inform the development, refinement, and utilization of implementation guides with the aim of increasing the uptake of EBPs in community-based organizations providing services to children with ASD and their families. Finally, these findings contribute to the implementation science literature by illustrating the joint use of the EPIS framework and Technology Acceptance Model 3 to evaluate the implementation of a web-based toolkit within community-based organizations.

Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs

2015 ◽  
Vol 6 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Hart O. Awa ◽  
Ojiabo Ukoha Ojiabo ◽  
Bartholomew Chinweuba Emecheta
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Reasoned Action ◽  
Theoretical Framework ◽  
Future Research ◽  
Content Type ◽  
Perceived Service Quality ◽  
Integrated Framework ◽  
Perceived Trust ◽  
Acceptance Model

Purpose – This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs. Design/methodology/approach – The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system. Findings – The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption. Research limitations/implications – Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically. Originality/value – The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).

Using TAM to Explore Vocational Students’ Willingness to Adopt a Web-Based BIM Cost Estimating System

2014 ◽  
Vol 1079-1080 ◽  
pp. 1098-1102 ◽  
Author(s):  
Yun Wu Wu ◽  
I Ting Hsu ◽  
Hsin Yi Lin
Keyword(s):  
Cost Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Vocational School ◽  
Vocational Students ◽  
Cost Estimating ◽  
Web Based ◽  
Willingness To Adopt ◽  
Analysis System ◽  
Acceptance Model

In this study, the technology acceptance model (TAM) is used to analyze from a vocational school to usethe Web-based BIM cost analysis system developed in this study.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

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