How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning

The use of AI is becoming a growing reality the educational field. One of the activities in which it is beginning to be implemented is the assessment of student achievement. This way, we can find in the literature an increasing number of investigations focused on the possibilities offered by the adoption of AI-driven assessment. However, the use of AI is also a source of concern that raises suspicions in some sectors of our society. In this context, knowing the position of the teachers towards this topic is critical to guarantee the successful development of the field. This paper intends to fill a research gap in the literature by offering a technology adoption model based on TAM to study the factors that condition the use of AI-driven assessment among teachers. To present this model we offer a background on the use of AI in education and the technology acceptance among teachers, as well as the definition of the eight constructs and the relational hypotheses included. Finally, the possibilities of the model and future lines of research are discussed

Stakeholder Readiness for Adopting a Big Data Governance Framework in a South African Metropolitan Municipality

Digital transformation in the public sector can lead to innovative ways of working with stakeholders, improved service delivery frameworks, and data-driven societal benefits. However, not all public sector organizations, particularly local governments, are ready to adopt digital technologies such as big data. Governance frameworks are critical for technology management, and key stakeholders must be prepared before technology adoption. Recognizing that top management support is crucial for digital transformation projects, this study looked at the state of readiness of metropolitan municipalities in South Africa to adopt a big data governance framework (BGDF). The study had two objectives: first, to assess the readiness for a big data governance framework, and second, to identify what the respondents considered essential in such a framework. Framed by the technology readiness index (TRI), the study found that the stakeholders were not only ready but also had a good idea of what should be included in the framework. Both of the findings resonate with extant literature. The study concluded that the technology readiness index was suitable for investigating digital transformation readiness and that the proposed big data governance framework is a viable initial option

Systems success measurement: instrument & framework a new perspective

There are major concerns regarding the previous research that can be said as having poor measurements, lack of theoretical grounding, and concern heavily on investment justifies. Some are also considered as having weak survey instruments, inappropriate data collection approaches, and lack of agreement on the dependent variables measurement that resulted in its incompatibility. Several related issues pertaining to high rates of systems’ failure that justify the heavy investment costs and affect the systems’ success of measurement. This matter had raised a high concern, especially for the researchers, practitioners, organization managers and systems administrators. Thus, the successful measurement of any systems is vital. The purpose of this study is to provide a framework and a high-quality validated instrument based on the literature review and experts’ validation. Subsequently, it can be used in the future studies to efficiently assist in the systems’ success measurement. The statistical test of 344 users with the smart PLS for the instrument shows an excellent result

The use of virtual reality to increase efficiency and profitability in different industries and functions: how head-mounted display can bring value to sectors with its competitive attributes

Objectives The main objectives of this study are to find how virtual reality (VR) used with head-mounted display is already used in industries, to discover the possible specific disadvantages and negative effects of using VR, and do they have influence on how open the market is for the change. In addition, this thesis aims to find what business functions could be improved by VR, and in what scale, and to analyze the competitiveness of VR, by comparing its prominence to other rival technologies, such as augmented reality. The final aim is to evaluate how wide-spread VR can become in the future, and which developments are needed to achieve this. Summary The thesis provides an overview of how VR could be used in business, by finding the most notable advantages and disadvantages of it, which industries and functions could benefit the most from using it, and what is the long-term value which it can bring to those businesses. In the process to find the answers, literature review considering the term, background, level of reality and acceptation of the platform is presented. In addition, primary data is gathered from brainstorming sessions and expert interviews. The findings are analyzed to evaluate different factors and feasible roles of VR. Conclusions The most notable advantages of VR are the immersiveness and thus substitution to real life, three-dimensional perception, and the wide availability to markets. Disadvantages include exclusion from the environment, the level of hardware and software development, and the overwhelming expectations. The functions to most benefit from virtual reality are training, design, and marketing, and example industries using those are building, retailing, and real estate. Virtual reality is facing some major hindrances, such as prejudices, unrealistic expectations, and the rise of augmented reality (AR). In the future, AR is likely to take market share from VR, but in general they will have different uses, and in long term mix together. Although, legislation is an issue to be addressed for widespread use of virtual environment

Extending delone and mclean success model with diffusion of innovation theory factors for flood early warning and response system success model : a case study at pahang civil defence department

In terms of population affected, the region involved, frequency, social-economic damage, and flood period, floods are a major natural disaster in Malaysia. That emphasizes the value of systematic and effective flood control, which necessitates government agencies improving their efficiency through technical advancement. The Flood Early Warning and Response System (FEWRS) success model is critical to prevent loss of life and property. It ensures that all stakeholders have the correct information and have the appropriate actions and response information. It should have some successful accessibility functionality and success elements of its strategic knowledge access and show, but current FEWRS success model lacks and often do not adequately have information on flood hazards to minimize their effects at a local level and save the lives of the people. For researchers, practitioners, and managers, determining the success of an Information System (IS) remains a significant concern. Therefore, the research objective of this study is to identify the success factors that affect the implementation of enhance FEWRS success model, to deploy the enhanced FEWRS success model. Moreover, to validate the enhanced FEWRS success model using the statistical analysis methods. This research focuses on two theoretical frameworks: DeLone and McLean (DLML) IS success model and Diffusion of Innovation Theory (DOI). These two theories have been found the most appropriate to be adopted for the FEWRS success model. They are merged to understand and explore the successful contingent related to IS implementation. DLML and DOI are among the most utilized theories applied in research relating to systems, technology, and information use. DOI theory states that the organization’s innovation and organizational characteristics and the environment in which it operates can influence the diffusion and success of Information Technology (IT) initiatives. The enhanced FEWRS success model was validated through the development of the enhanced FEWRS model and the use of statistical analysis methods. To validate the FEWRS success model, this study employs the Partial Least Squares-Structural Equation Modelling (PLS-SEM). Data were collected through a questionnaire survey administered to 141 employees from Kuantan Civil Defence Department (CDD) in Pahang state, Malaysia. Preliminary survey had been done before going further into the study to show the importance of the research. The results suggest that information quality, system quality, service quality, and compatibility have a positive effect on user satisfaction of the enhanced FEWRS success model with (P-value = 2.359, 0.204, 0218, 0.445, and 0354. These factors have a strong significant relationship with the user’s satisfaction. However, the relative advantage has a positive effect on user satisfaction but was not supported with (P-value = 0.015). On the other hand, complexity has a negative effect on user satisfaction of the FEWRS with (P-value = - 0.114). Therefore, complexity was found to have a significant relationship with user satisfaction. Furthermore, user satisfaction has positively affected the success of the FEWRS. In the light of the FEWRS success model presence in the flood disaster and other natural disasters, the study findings will act as a guide for strengthening government policy and the public sector. Moreover, the results have a significant contribution by validating and extending the DLML with DOI factors and providing various implications to the research, theory, and practice

Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach

In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with the potential to revolutionize teaching and learning processes. However, the successful integration of AI in education depends on the trust and acceptance of teachers. This study addresses a significant gap in research by investigating the trust dynamics of 677 in-service Science, Technology, Engineering, Arts, and Mathematics (STEAM) teachers in Nigeria towards AI-based educational technologies. Employing structural equation modelling for data analysis, our findings reveal that anxiety, preferred methods to increase trust, and perceived benefits significantly influence teachers' trust in AI-based edtech. Notably, the lack of human characteristics in AI does not impact trust among STEAM teachers. Additionally, our study reports a significant gender moderation effect on STEAM teachers' trust in AI. These insights are valuable for educational policymakers and stakeholders aiming to create an inclusive, AI-enriched instructional environment. The results underscore the importance of continuous professional development programs for STEAM teachers, emphasizing hands-on experiences to build and sustain confidence in integrating AI tools effectively, thus fostering trust in the transformative potentials of AI in STEAM education

Emotions and consumer's adoption of innovations: an integrative review and research agenda

The dominant models of innovation adoption have traditionally overlooked the role of emotions, despite the relevance of this construct in consumer decision-making. To address this historical gap, a notable stream of research on emotions in innovation adoption has emerged in recent years. To enrich our understanding of the psychology of innovation adoption, this paper integrates insights from research on emotions in psychology with a systematic review of the literature on consumer emotions in innovation adoption. Drawing on well-established theories of emotions and decision-making, we derive five fundamental dimensions that help define the role of emotions in the consumer adoption of innovations. A systematic review of existing evidence within the specific field of innovation adoption summarises the existing evidence through the lens of the five dimensions. The contributions of the paper are twofold. First, the paper offers a novel perspective that provides a deeper understanding of emotions as a psychological mechanism enabling or impeding innovation adoption. Second, we set an agenda for invigorating research in this important domain

Employee Lack of Acceptance of Technological Change

Approximately 70% of technology projects fail, which negatively impacts resources, productivity, and organizational profitability because of employees\u27 lack of acceptance of technological change. The purpose of this single case study was to explore strategies some midlevel managers used to improve employees\u27 lack of acceptance of technological change. The conceptual framework for this study was the technology acceptance model. Data were collected from semistructured interviews with 5 participants from a local government organization in the southwestern region of the United States and review of organizational documentation. Data analysis included Yin\u27s 5 phases, methodological triangulation, and theme identification. Four themes emerged from data analysis: training, communication, involvement, and management support. Findings showed the importance of providing training when implementing technological change, communicating the change, and explaining how the change impacts employees throughout the organization. Findings also indicated that allowing employees to be involved in the technological change process and communicating management support of the technological change results in increased employee acceptance of the change. Implications of this study for positive social change include improving work products and conditions for employees and human and social conditions for residents of the local community. Findings may provide leaders with insights needed to integrate technological changes, and organizational and resource allocation efficiencies to improve services to employees, residents, and local businesses

User Interface Challenges of Banking ATM Systems in Nigeria

The use of banking automated teller machine (ATM) technological innovations have significant importance and benefits in Nigeria, but numerous investigations have shown that illiterate and semiliterate Nigerians do not perceive them as useful or easy-to-use. Developing easy-to-use banking ATM system interfaces is essential to accommodate over 40% illiterate and semiliterate Nigerians, who are potential users of banking ATM systems. The purpose of this study was to identify strategies software developers of banking ATM systems in Nigeria use to create easy-to-use banking ATM system interfaces for a variety of people with varying abilities and literacy levels. The technology acceptance model was adopted as the conceptual framework. The study\u27s population consisted of qualified and experienced developers of banking ATM system interfaces chosen from 1 organization in Enugu, Nigeria. The data collection process included semistructured, in-depth face-to-face interviews with 9 banking ATM system interface developers and the analysis of 11 documents: 5 from participant case organizations and 6 from nonparticipant case organizations. Member checking was used to increase the validity of the findings from the participants. Through methodological triangulation, 4 major themes emerged from the study: importance of user-centered design strategies, importance of user feedback as essential interface design, value of pictorial images and voice prompts, and importance of well-defined interface development process. The findings in this study may be beneficial for the future development of strategies to create easy-to-use ATM system interfaces for a variety of people with varying abilities and literacy levels and for other information technology systems that are user interface technology dependent