Analyzing the Prospects and Acceptance of Mobile-Based Marine Debris Tracking

Thanacoody, Ashley; Bekaroo, Girish; Santokhee, Aditya; Juddoo, Suraj

doi:10.1007/978-3-030-18240-3_24

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…To answer RQ1 and RQ2, a combination of the build and experimental methodologies are used in this study. An aggregation of these methodologies are common in computer science related research where similar approach has been used in different studies involving the development and use of prototypes to investigate research issues (Thanacoody et al, 2019;Bekaroo et al, 2018). The build research methodology entails development of an artefact and in this study, a TUI-based system is designed and implemented for the purpose of answering the two research questions.…”

Section: Methodsmentioning

confidence: 99%

Using tangible user interfaces for teaching concepts of internet of things

Nathoo

Bekaroo

Gangabissoon

et al. 2020

ITSE

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Purpose This paper aims to explore the use of tangible user interfaces for teaching concepts related to internet of things by focusing on two aspects, notably, usability and learning effectiveness. Design/methodology/approach To assess the usability of IoTTT, Nielsen’s principles were used due to its relevance and popularity for usability assessment. In the usability questionnaire, four attributes were evaluated, notably, learnability, efficiency, errors and satisfaction. As for evaluating learning effectiveness, learning assessment was conducted through pre-tests and post-tests. Two groups of 20 students participated where the first group attended conventional lectures on IoT, whereas the second group used IoTTT for learning same concepts. In the process, data was collected through the usability questionnaire and tests for usability and learning effectiveness assessment. Findings Results revealed a positive score for the usability of the TUI solution with an average rating of 3.9. Although this score demonstrated an acceptable solution, different issues were identified, based on which a set of recommendations have been made in this paper. On the other hand, in the common pre-tests, an average score of 6.40 was obtained as compared to a mean score of 7.33 in the post-tests for all participants. Knowledge gains were significantly higher for students who learnt IoT concepts through the TUI-based system where performance improved by 18 per cent. Originality/value The results revealed in this study are expected to help the research community, course designers and tutors comprehend the prospects of using tangible user interfaces to foster teaching and learning of IoT concepts. In addition, educational solution providers could consider commercialisation prospects of this technology to innovate in teaching and learning, while also building-up on limitations identified within this study.

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Section: Methodsmentioning

confidence: 99%

Using tangible user interfaces for teaching concepts of internet of things

Nathoo

Bekaroo

Gangabissoon

et al. 2020

ITSE

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“…TAM is an adaptation of the theory of reasoned action [19] and was conceptualized with the aim to investigate the reasons why users accept or reject a particular technology or system [20,21]. TAM has been used in different studies, notably, to investigate the acceptance of marine litter tracking application [22] and m-learning [23], among others. Also, TAM is combined with different constructs that relate to weight related factors and each construct has different measured items that enable acceptance evaluation [24].…”

Section: Evaluation Methodsmentioning

confidence: 99%

Hazard Perception Training and Assessment of Young Drivers in Mauritius: Investigating the Acceptance of the MauHazard Tool

Santokhee

Bekaroo

Roopowa

2019

2019 Conference on Next Generation Computing Applications (NextComp)

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“…It has also previously been argued that TAM can be combined with different constructs with weights to complete an acceptance evaluation [14]. Thus, for the TAM questionnaire an adapted evaluation methodology was designed as data collection instrument by analysing previous studies like [15]- [19]. This implies that through the adapted model a good measure for the technology acceptance of the project can be achieved whilst ensuring quality with statistically reliable results [20].…”

Section: A Design the Study Structurementioning

confidence: 99%