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A Study on Adoption of Mobile Learning Apps (MLA): Development of an Integrated Framework in a Multinational Context
S.SUJATHA D. SURENDRA VARMA
Assistant Professor 22R01E0045
CMRIT Kandlakoya, Medchal CMRIT Kandlakoya, Medchal
Sujathaprasad7363@gmail.com surendravarmagadiraju@gmail.com
INTRODUCTION
Research on online learning has increased quite a bit in popularity with the development of technology that is new and is modern enough. Due to the number of devices that are available, mobile devices have become a powerful tool—not only in formal learning but also in informal learning. With the increased use of mobile learning technology, mobile learning apps (MLAs) have emerged [1,2]. Technology has not only given students the opportunity to obtain an education at their leisure and anywhere they want, without having to worry about time or age. The usage of the app is also worthwhile since it recognized a component of the learning process, particularly in thinking ability development [3. Hence, sentiment analysis is a worthwhile endeavor since there exist pros and cons that influence one's decision-making [10-12].. In this respect, to accelerate the impact on academic progress, colleges around the world reassessed the practicality of mobile learning, which is the only viable choice for academia.
Yes, MLA was fast growing all over the world. However, the success of any technology depends on the users' acceptance [18]. Despite huge investment in technology, particularly in the MLA field, the target user reported very low use, ignorance, and overlooking [19].. Therefore, this study is used to assess the actual use of MLA. Despite this, there are not enough resources to ensure that mobile learning will be accepted in the field of higher education.
This research seeks to investigate the acceptance and usage of technology (i.e., MLA). In particular, it has to be noted that this research also investigates a variety of factors contributing to MLA usage by extending the proposed model by Davis. Although prior studies of individual motivational factors exist, they do not consider sentimental influences. This is, to the best of the authors' knowledge, the first study to look at how MLA is being used by incorporating sentimental influences and exploring target opinions underlying the TAM and the machine learning approach.
The TAM has been applied to the research fields of the internet of things [25], e-learning [26], and m-learning technologies [27], among other things, to learn about the acceptance of technology.. Third, it offers a basis upon which researchers can evaluate the effects of external factors on the dependent variableThis current research also conforms to existing literature [28] on incorporating the baseline information systems (IS) framework—that is, the TAM— with other theories and uncovering the novel context.