Electronic Marking and Educational Assessment

2020 ◽  
pp. 138-149
Author(s):  
Walimbwa Michael
Keyword(s):  
Technology Acceptance ◽  
Learning Opportunities ◽  
Smart Learning Environment ◽  
The Sustainable Development ◽  
Large Classes ◽  
Smart Learning ◽  
Learning Practices ◽  
Small Project ◽  
Acceptance Model ◽  
Effective Assessment

Pervasiveness of technology in the digital age has affected education generally and is fundamentally transforming assessment, causing changes in traditional educational settings, like learning taking place anywhere, anytime and in real-world context. In such an environment, emphasis is put on what is to be seen as effective assessment in a smart learning environment (SLE). Through a case chapter examines the process of electronic marking and how it enhances smart learning practices. Drawing on the technology acceptance model, the meaning and process of e-marking in enhancing smart learning is presented. Features and process of e-marking and it's perceived benefits and barriers are described. From the reported experiences of engagement in the e-marking process; it is found out that e-marking is increasingly becoming important and dependable in enhancing smart learning. Findings also indicate that in contexts where e-marking is thriving, it started as a small project, with a few scripts marked electronically and then gradually gets up scaled into a full practice. It is concluded that e-marking is an intervention that is key in the assessment of large classes in large classes, that will contribute to the attainment of the Sustainable Development Goal number four- ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all.

scholarly journals Blockchain Technology Adoption in Smart Learning Environments

2021 ◽  
Vol 13 (4) ◽  
pp. 1801 ◽  
Author(s):  
Nazir Ullah ◽  
Waleed Mugahed Al-Rahmi ◽  
Ahmed Ibrahim Alzahrani ◽  
Osama Alfarraj ◽  
Fahad Mohammed Alblehai
Keyword(s):  
Technology Acceptance ◽  
Learning Environments ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Equation Modeling ◽  
Smart Learning Environment ◽  
Smart Learning ◽  
Smart Learning Environments ◽  
Blockchain Technology ◽  
Acceptance Model

The conventional education system in developing countries has been enhanced recently by implementing the latest technology of distributed ledger. Disruptive technology is a fundamental requirement for greater accountability and visibility. We explored the key factors affecting the intentions of educational institutions to use blockchain technology for e-learning. This study proposed an expanded model of Technology Acceptance Model by integrating the diffusion of innovation theory. Based on an online survey, the conceptual model was tested and validated using structural equation modeling. The results showed that compatibility had a significant impact on blockchain use in smart learning environments. Other significant effects were also found on adoption of blockchain technology. This study offers an expanded Technology Acceptance Model for implementing blockchain that could assist decision makers in building a smart learning environment for the educational institutes for the emerging economies.

scholarly journals Determinants of Active Online Learning in the Smart Learning Environment: An Empirical Study with PLS-SEM

2021 ◽  
Vol 13 (17) ◽  
pp. 9923
Author(s):  
Shaofeng Wang ◽  
Gaojun Shi ◽  
Mingjie Lu ◽  
Ruyi Lin ◽  
Junfeng Yang
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Smart Learning Environment ◽  
Smart Learning ◽  
Intelligent Interaction ◽  
Acceptance Model

A smart learning environment, featuring personalization, real-time feedback, and intelligent interaction, provides the primary conditions for actively participating in online education. Identifying the factors that influence active online learning in a smart learning environment is critical for proposing targeted improvement strategies and enhancing their active online learning effectiveness. This study constructs the research framework of active online learning with theories of learning satisfaction, the Technology Acceptance Model (TAM), and a smart learning environment. We hypothesize that the following factors will influence active online learning: Typical characteristics of a smart learning environment, perceived usefulness and ease of use, social isolation, learning expectations, and complaints. A total of 528 valid questionnaires were collected through online platforms. The partial least squares structural equation modeling (PLS-SEM) analysis using SmartPLS 3 found that: (1) The personalization, intelligent interaction, and real-time feedback of the smart learning environment all have a positive impact on active online learning; (2) the perceived ease of use and perceived usefulness in the technology acceptance model (TAM) positively affect active online learning; (3) innovatively discovered some new variables that affect active online learning: Learning expectations positively impact active online learning, while learning complaints and social isolation negatively affect active online learning. Based on the results, this study proposes the online smart teaching model and discusses how to promote active online learning in a smart environment.

scholarly journals The Effects of Environmental Policy and the Perception of Electric Motorcycles on the Acceptance of Electric Motorcycles: An Empirical Study in Macau

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401989909
Author(s):  
Yide Liu ◽  
Ivan Ka Wai Lai
Keyword(s):  
Air Pollution ◽  
Environmental Policy ◽  
Technology Acceptance ◽  
Success Factors ◽  
Environmental Technology ◽  
The Sustainable Development ◽  
Key Success Factors ◽  
Gasoline Vehicles ◽  
Acceptance Model ◽  
The Impact

Air pollution is a serious environmental issue across the world and has drawn attention from researchers with different backgrounds. The carbon exhaust from gasoline vehicles is one cause of air pollution. One solution for reducing carbon emissions is to provide green vehicles, such as electric motorcycles, for drivers and passengers, which can help the sustainable development of the environment in an ecological way. This research discusses the market response to electric motorcycles in Macau by focusing on the effects of environmental policy. An environmental technology acceptance model was developed, based on which 325 valid questionnaires were collected. The research demonstrates the impact on motorcyclists’ acceptance of electric motorcycles by considering their perceptions of environmental policy, pollution reduction, the saving of energy, and driving performance; the results can lead to valuable discussions on the environment–technology–society ecosystem in further studies. The research results could help relevant government bodies to develop appropriate environmental policies to encourage motorcyclists to adopt electric motorcycles. Furthermore, the electric motorcycle industry could identify key success factors for developing or promoting electric motorcycles using the study variables.

scholarly journals An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sayed Kifayat Shah ◽  
Zhongjun Tang ◽  
Sayed Muhammad Fawad Sharif ◽  
Arifa Tanveer
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Service Providers ◽  
Decision Makers ◽  
Equation Modeling ◽  
Learning Technology ◽  
Smart Learning ◽  
The Social ◽  
Learning Programs ◽  
Acceptance Model

AbstractThe social distancing due to the Covid-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may cause the hasty adoption of 5G smart learning technology. To investigate students' intentions toward smart learning, this article provides a theoretical framework premised on the technology acceptance model (TAM) by adding components from the social practise theory (SPT). Based on data analysis through Structural equation Modeling (SEM) of a survey (n = 375) conducted in China, we found that the choice of 5G smart-learning technology depends on the combined effect of Material (MAA), Meanings (MEA), and Competency access (COA) factors. The results illustrate that these are the effective factors for student’s intentions to adopt 5G smart-learning technology. These outcomes are intended to aid service providers and decision-makers in developing effective ways to increase smart learning use. These findings can also enable us to identify challenges affecting smart learning adoption and to contribute to the design and proper supply of smart learning programs in other countries.

Developing and Validating a M-Governance Framework Adoption Model of a University for Communication Services to Its Affiliated Institutions

2017 ◽  
Vol 7 (7) ◽  
pp. 484
Author(s):  
E. Ramganesh ◽  
E. Kirubakaran ◽  
D. Ravindran ◽  
R. Gobi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Public Service ◽  
Mobile Applications ◽  
Communication Technologies ◽  
Mobile Technologies ◽  
Communication Services ◽  
Governance Framework ◽  
Social And Economic Development ◽  
Acceptance Model

The m-Governance framework of auniversity aims to utilize the massive reach of mobile phones and harness the potential of mobile applications to enable easy and round the-clock access to the services of its affiliated institutions.  In the current mobile age there is need for transforming e-governance services to m-Governance as m-Governance is not a replacement for e-Governance rather it complements e-Governance. With this unparalleled advancement of mobile communication technologies, universities are turning to m-governance to realize the value of mobile technologies for responsive governance and measurable improvements to academic, social and economic development, public service delivery, operational efficiencies and active stakeholder engagement. In this context the present study, aims to develop and validate a m-governance framework of a university by extending Technology Acceptance Model (TAM) with its prime stakeholders so called the Heads of the affiliated institutions. A survey instrument was developed based on the framework and it was administered with 20 Heads of the affiliated Institutions. The results also showed that the Heads of the affiliated Institutions expressed their favorableness towards m-governance adoption.

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