Transitioning to Online Teaching During the Pandemic Period: The Role of Innovation and Psychological Characteristics

Ntsiful, Alex; Kwarteng, Michael Adu; Pilík, Michal; Osakwe, Christian Nedu

doi:10.1007/s10755-022-09613-w

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…The stated hypotheses are validated and substantiated by numerous parts of literature-based data [60][61][62][63][64][65][66][67]. On the other hand, perceived ease of use and tutor quality are related.…”

Section: Discussionmentioning

confidence: 81%

Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study

et al. 2022

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In this study, we present the results of an assessment of an initiative that seeks to transcend the application of digital information in the higher education sector by recommending an integrative approach that quantifies both the flow of digital information and tutors’ quality impacts concerning technology acceptance model (TAM) constructs and the perceived experience of digital information in education (DIE). There is a mounting evidence that the educational institutions that prioritize the perceived experience and the quality of the tutors do not, generally, take into account the limited exposure to digital information and technologies. Data gathered from a survey of 485 college students were used to evaluate the model and hypotheses. The findings show that users’ perceptions of the value of DIE may depend on several extrinsic conditions that improve their experiences of learning and teaching. The user’s traits, such as technological preparedness, are vital in determining perceived ease of use. In some cultures, the superior quality of the tutor may further increase perceptions of the technology’s perceived usefulness. The intention to adopt technology may also be highly influenced by other variables such as information flow. Therefore, academic institutions must reevaluate the usefulness of digital information technology as a tool for improving educational sections. This research limited its focus to educational environments in which DIE has a significant impact on the teaching and learning setting. Future works may concentrate on health or monetary organizations.

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Section: Discussionmentioning

confidence: 81%

Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study

et al. 2022

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“…The diffusion of innovation theory states that an innovation will spread more quickly the better its perceived relative advantage. According to (Ntsiful et al, 2022), perceived value and an innovation's relative advantage are strongly connected. (John, 2016) asserts that relative advantage awareness, accessibility, user-friendliness, service quality, network dependability advantage, and convenience are all related to technology adoption.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

The adoption of artificial intelligence applications in education

Alhumaid¹,

Naqbi²,

Elsori³

et al. 2023

10.5267/j.ijdns

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Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.

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“…According to [64], technology adoption is associated with relative advantage awareness, availability, userfriendliness, service quality, network reliability advantages, and convenience. In [65], perceived value is closely related to an innovation's relative advantage. It is more important for users to believe that innovations will benefit them rather than for them to have an objective advantage over precedents.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

et al. 2022

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Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the different services it offers. This study aims to investigate users’ experiences with AIA for governmental purposes in the Gulf area. The conceptual model comprises the adoption properties (namely trialability, observability, compatibility, and complexity), relative advantage, ease of doing business, and technology export. The novelty of the paper lies in its conceptual model that correlates with both personal characteristics and technology-based features. The results show that the variables of diffusion theory have a positive impact on the two variables of ease of doing business and technology export. The practical implications of the current study are significant. We urge the concerned authorities in the governmental sector to understand the significance of each factor and encourage them to make plans, according to the order of significance of the factors. The managerial implications provide insights into the implementation of AIA in governmental systems to enhance the development of the services they offer and to facilitate their use by all users.

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Transitioning to Online Teaching During the Pandemic Period: The Role of Innovation and Psychological Characteristics

Cited by 9 publications

References 40 publications

Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study

Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study

The adoption of artificial intelligence applications in education

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

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