Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

Chatterjee, Sheshadri; Majumdar, Dipasree; Misra, Sanjay; Damaševičius, Robertas

doi:10.1007/s10639-020-10168-6

Cited by 44 publications

(26 citation statements)

References 74 publications

(76 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, co-creation activities can be fruitfully implemented either by spreading the feedbacks of the customers by social media platforms or by PI (Kar and Chatterjee, 2018;Thürmer et al, 2020). At the BOP level, the consumers are not to that extent skillful to use social media platforms such as Facebook and Twitter, especially, for cocreation activities for the aged persons, as at BOP level it is observed that only most of the young people possess smartphones (Lenhart et al, 2015;Majumdar et al, 2019). The social media platforms will help the consumers at the BOP level for ensuring media-rich, real-time and highly personalized social collaboration and interactions between the consumers and the firms helpful for improving cocreation activities (Rishika et al, 2013;Sreenivasulu and Chatterjee, 2019).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…It is not easy for the consumers at BOP to reach the firms for providing their inputs to co-create values (Lassaga and Lanfranchi, 2012;Kumar et al, 2019aKumar et al, , 2019b. It is observed that young persons at BOP use smartphones and they might connect with the producers toward providing feedbacks for co-creating values (Majumdar et al, 2019) The aged persons of BOP are found using social media platform to a lesser extent which is the normal scenario in the developing economies (Chatterjee, 2020b). Naturally, aged people at the BOP level cannot or very little can connect with the producers of the products or the service providers to provide their experience and feedbacks for cocreating values with the help of social media platforms, as they usually do not use these devices (Kar and Chatterjee, 2020).…”

Section: Age and Social Media Usagementioning

confidence: 99%

See 1 more Smart Citation

Value co-creation and social media at bottom of pyramid (BOP)

Chatterjee

Nguyen

2021

Self Cite

View full text Add to dashboard Cite

Purpose The purpose of this study is to examine the value co-creation at bottom of the pyramid (BOP) using social media and to investigate how it is impacted by age, gender and peer influence. Design/methodology/approach A BOP approach provides sustainable profits by involving low-income producers and consumers by way of co-creating values. The focus of the BOP approach in the business environment in this study is to establish co-creation among the different stakeholders at the BOP level. With the help of a literature review and related theories, a conceptual model has been developed. The model has been tested statistically for validation using a survey by considering 314 usable respondents. Findings This study has focused on the impact of different issues such as age, gender and peer influence concerning the consumers at BOP segments involving in co-creation activities. The study finds that people at BOP segments emphasize more social media usage compared to the influence of peers in the context of co-creating values. Research limitations/implications Co-creation at BOP is a new approach. This study is unique research where it identifies the impact of gender, age and peer influence at the BOP level consumers for co-creation activities. The study also highlights the influence of social media on BOP consumers for co-creating values. The model so developed along with the findings of this study contribute to the overall body of knowledge in this area which has a wider theoretical and social implication. Practical implications The proposed model in this study can help organizations to understand the impact of age, gender, peer influence on value co-creation activities at BOP using social media. This study can help managers of the organizations involved in co-creation at BOP to formulate an appropriate strategy to get engaged with the customers at BOP. Finally, this study can motivate customers to value co-creating and engaging with organizations. Originality/value This study has primarily identified the impact of age, gender and peer influence for the consumers at BOP segments and is involved in different co-creation activities. The study has been mainly conducted in India, an emerging economy. None of such studies has been conducted in the emerging markets. Thus, this study claims to have possessed its uniqueness.

show abstract

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Age and Social Media Usagementioning

confidence: 99%

Value co-creation and social media at bottom of pyramid (BOP)

Chatterjee

Nguyen

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is feasible to define a conceptual framework for both learners and teachers for selecting high-quality learning resources. In addition, the adoption of hardware devices including mobile phones [63], wearable devices [64] and so on can be an important factor for further investigation. Future research is therefore advised to be conducted in such directions.…”

Section: Discussionmentioning

confidence: 99%

Vocabulary Learning Based on Learner-Generated Pictorial Annotations: Using Big Data as Learning Resources

Zou

Xie²

2021

Sustainability

View full text Add to dashboard Cite

This research discusses the potential of using big data for vocabulary learning from the perspective of learner-generated pictorial annotations. Pictorial annotations lead to effective vocabulary learning, the creation of which is however challenging and time-consuming. As user-generated annotations promote active learning, and in the big data era, data sources in social media platforms are not only huge but also user-generated, the proposal of using social media data to establish a natural and semantic connection between pictorial annotations and words seems feasible. This research investigated learners’ perceptions of creating pictorial annotations using Google images and social media images, learners’ evaluation of the learner-generated pictorial annotations, and the effectiveness of Google pictorial annotations and social media pictorial annotations in promoting vocabulary learning. A total of 153 undergraduates participated in the research, some of whom created pictorial annotations using Google and social media data, some evaluated the annotations, and some learned the target words with the annotations. The results indicated positive attitudes towards using Google and social media data sets as resources for language enhancement, as well as significant effectiveness of learner-generated Google pictorial annotations and social media pictorial annotations in promoting both initial learning and retention of target words. Specifically, we found that (i) Google images were more appropriate and reliable for pictorial annotations creation, and therefore they achieved better outcomes when learning with the annotations created with Google images than images from social media, and (ii) the participants who created word lists that integrate pictorial annotations were likely to engage in active learning when they selected and organized the verbal and visual information of target words by themselves and actively integrated such information with their prior knowledge.

show abstract

“…Chatterjee et al ( 2020 ) recommended partial least squares structural equation modelling (PLS-SEM) to discover the factors affecting mobile learning techniques focusing on rural education for females in India. The strategy gave educational leaders and technology managers praiseworthy insights to explore and encourage mobile apps to study and affect economically depressed Indian girls' schools.…”

Section: Literature Review Of Mobile Learning Resource In Smart Educationmentioning

confidence: 99%

Intelligent retrieval method of mobile learning resources in the intelligent higher education system

Zhang

2021

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

Mobile learning has become more important for the new generation. It helps students think better, pushes them to study more deeply, and leads them to significant knowledge production. Mobile learning (mobile learning) is a learning paradigm that enables students to get resources from mobile technology and the Internet everywhere and anytime. The mobile learning components should be appropriately arranged. The interactions between the different components should be combined effectively and optimally for m-learning to be successful and effective. It is important to arrange the features of mobile learning and how they are applied to mobile learning activities, the application procedures, and the duration of the application time well in advance. In this paper, Human-interaction machine-based intelligent retrieved (HIM-IR) method has been suggested to improve student performance using mobile education. In mobile learning, students would find information through the network. Thus, the retrieval of quality information in support services is quite crucial. Mobile intelligent recovery would help the intelligence engine for mobile learning. The existing web server has technology on the server that doesn't have great precision and intelligence. The input string format is necessary for the retrieval process. The proposed methods aim to define the fundamental aspects and features of mobile learning in new trends in technological development. HIM-IR can be beneficial for anyone engaged in mobile learning design, preparation, and implementation.

show abstract

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

Cited by 44 publications

References 74 publications

Value co-creation and social media at bottom of pyramid (BOP)

Value co-creation and social media at bottom of pyramid (BOP)

Vocabulary Learning Based on Learner-Generated Pictorial Annotations: Using Big Data as Learning Resources

Intelligent retrieval method of mobile learning resources in the intelligent higher education system

Contact Info

Product

Resources

About