scholarly journals “HEY GOOGLE, HELP ME LEARN” Voice Assistant Devices in the New Zealand Primary School

2021 ◽  
Author(s):  
◽  
Laura Butler

<p>Artificial intelligence is being embedded into home devices and these have the potential to be useful tools in the classroom. Voice assistant devices such as Google Home or Alexa can respond to verbal instructions and answer questions using the Internet of Things, web-scraping or native programming. This research explores student use of voice assistant devices in the context of two senior primary school classrooms in New Zealand. A socio-material approach is taken, examining the devices in existing classroom environments and how the children use these devices without teacher prompting. The research is framed within the Technology Acceptance Model 2 (Venkatesh et al., 2003). Student’s perception of the device’s usefulness, ease of use, and the subjective norm and social impact of using the device in each classroom environment is discussed. The research questions examined were what and how do students ask the devices, and how accurate the devices are in answering their enquiries. Data were gathered for two case studies from device transcripts over six weeks and teacher interviews. Findings suggest that the students found the devices usable, useful and interesting to challenge and explore. Reliable responses for basic literacy, numeracy, and social studies enquiries were recorded, however, the ability of the device to understand student enquiries was variable and the device was limited by a lack of pedagogical techniques and knowledge of learner needs. Evident in the data were students’ social use, perseverance and anthropomorphism of the devices. The implications of this research are that voice-activated artificial intelligence devices can support learners in classroom environments by promoting perseverance, independence, and social learning.</p>

2021 ◽  
Author(s):  
◽  
Laura Butler

<p>Artificial intelligence is being embedded into home devices and these have the potential to be useful tools in the classroom. Voice assistant devices such as Google Home or Alexa can respond to verbal instructions and answer questions using the Internet of Things, web-scraping or native programming. This research explores student use of voice assistant devices in the context of two senior primary school classrooms in New Zealand. A socio-material approach is taken, examining the devices in existing classroom environments and how the children use these devices without teacher prompting. The research is framed within the Technology Acceptance Model 2 (Venkatesh et al., 2003). Student’s perception of the device’s usefulness, ease of use, and the subjective norm and social impact of using the device in each classroom environment is discussed. The research questions examined were what and how do students ask the devices, and how accurate the devices are in answering their enquiries. Data were gathered for two case studies from device transcripts over six weeks and teacher interviews. Findings suggest that the students found the devices usable, useful and interesting to challenge and explore. Reliable responses for basic literacy, numeracy, and social studies enquiries were recorded, however, the ability of the device to understand student enquiries was variable and the device was limited by a lack of pedagogical techniques and knowledge of learner needs. Evident in the data were students’ social use, perseverance and anthropomorphism of the devices. The implications of this research are that voice-activated artificial intelligence devices can support learners in classroom environments by promoting perseverance, independence, and social learning.</p>


2021 ◽  
pp. 147572572110371
Author(s):  
Sabrina Gado ◽  
Regina Kempen ◽  
Katharina Lingelbach ◽  
Tanja Bipp

Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This requires identifying approaches to integrate a general understanding of AI technology into formal psychological training and education. This study investigated to what extent psychology students currently accept and use AI and what affects their perception and usage. Therefore, an AI acceptance model based on established technology acceptance models was developed and tested in a sample of 218 psychology students. An acceptable fit with the data was found for an adapted version. Perceived usefulness and ease of use were most predictive for the students’ attitude towards AI; attitude itself, as well as perceived usefulness, social norm, and perceived knowledge, were predictors for the intention to use AI. In summary, we identified relevant factors for designing AI training approaches in psychology curricula. In this way, possible restraints regarding the use of AI can be reduced and its beneficial opportunities exploited in psychological contexts.


2021 ◽  
Vol 8 (1) ◽  
pp. 20
Author(s):  
Pijar Suciati ◽  
Mareta Maulidiyanti ◽  
Ngurah Rangga Wiwesa

Artificial Intelligence (AI) is gradually changing every industry, including the Public Relations industry (Afzal, 2018). Skills associated with conducting research, creating content, evaluating campaigns, tracking issues and countless work processes are being automated with AI. We believe, although never fully replace public relations professionals but will increasingly assist us and possibly do a better job. We are developing PR Bot, a tool that help PR to create an instant press release using an AI (machine learning). Before we continue building the app, we need to know whether the PR practitioners will accept this technology or not. To find the results we conduct a descriptive research, using interview and polling survey, convenient sampling among the PR professional in Greater Jakarta area. We use Technology Acceptance Model to develop the questionnaire. According to the interview, we found that the knowledge and skill of using new technology of the respondents is very good. The survey shows the acceptance of the perceived ease of use and perceived usefulness of the PR Bot is high. The conclusion, the target market is ready to use the technology, they feel that this tech will help them in daily basis task. Based on this result, we will continue developing and using the insight from the respondents to build the feature of this application.


2020 ◽  
Vol 33 (4) ◽  
pp. 359-375
Author(s):  
Sheshadri Chatterjee ◽  
Bang Nguyen ◽  
Soumya Kanti Ghosh ◽  
Kalyan Kumar Bhattacharjee ◽  
Sumana Chaudhuri

Purpose The purpose of this study is to explore the behavioral intention of the employees to adopt artificial intelligence (AI) integrated customer relationship management (CRM) system in Indian organizations. Design/methodology/approach To identify the factors impacting the behavioral intention of the employees to adopt AI integrated CRM system in Indian organizations helps of literature review and theories have been taken. Thereafter, some hypotheses have been formulated followed by the development of a theoretical model conceptually. The model has been tested statistically for validation using a survey by considering 308 usable respondents. Findings The results of this study show that perceived usefulness and perceived ease of use directly impact the behavioral intention of the employees to adopt an AI integrated CRM system in organizations. Also, these two exogenous factors impact the behavioral intention of the employees to adopt an AI integrated CRM system mediating through two intermediate variables such as utilitarian attitude (UTA) and hedonic attitude (HEA). The proposed model has achieved predictive power of 67%. Research limitations/implications By the help of the technology acceptance model and motivational theory, the predictors of behavioral intention to adopt AI integrated CRM systems in organizations were identified. The effectiveness of the model was strengthened by the consideration of two employee-centric attitudinal attributes such as UTA and HEA, which is claimed to have provided contributions to the extant literature. The proposed theoretical model claims a special theoretical contribution as no extant literature considered the effects of leadership support as a moderator for the adoption of an AI integrated CRM system in Indian organizations. Practical implications The model implies that the employees using AI integrated CRM system in organizations must be made aware of the usefulness of the system and the employees must not face any complexity to use the system. For this, the managers of the concerned organizations must create a conducive atmosphere congenial for the employees to use the AI integrated CRM system in the organizations. Originality/value Studies covering exploration of the adoption of AI integrated CRM systems in Indian organizations are found to be in a rudimentary stage and in that respect, this study claims to have possessed its uniqueness.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 963
Author(s):  
Kar Hoong Chan ◽  
Tuan Hock Ng ◽  
Lee Ying Tay ◽  
Chiu Yu Teh

Background: The Covid-19 pandemic has forced businesses in the direction of technology development. In particular, financial institutions have started the digital transformation, embracing the usage of artificial intelligence. In this respect,  consumers’ willingness to adopt artificial intelligence in finance, appears to have relevance to current efforts to enhance the efficiency and effectiveness of the financial system. This study aims to better comprehend the antecedents towards the intention to adopt artificial intelligence in financial services among Generation Z,  with the use of the Technology Acceptance Model.  Methods:  In this study, questionnaires were used to collect data from 150 male and female Malaysian undergraduates. Partial Least Squares-Structural Equation Modelling was employed to analyse the data.  Results: Perceived ease of use and attitude, positively influenced the adoption of artificial intelligence in financial services.  Conclusion: The results have suggested the improvement in user interface, information and activities to encourage generation Z to adopt artificial intelligence in financial services.


2019 ◽  
Vol 38 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Yuli Liang ◽  
Seung-Hee Lee ◽  
Jane E. Workman

Given the growing interest in combinations of fashion and digital innovations, it is critical for both researchers and retailers to understand how consumers respond to new technologies, especially artificial intelligence (AI). The purpose of the study was to examine consumers’ attitudes and purchase intention toward an AI device. By adapting the technology acceptance model, a conceptual model was constructed and tested related to consumers’ attitudes and purchase intention toward an AI device—Echo Look. A total of 313 subjects (61% female) between 18 and 65 years old in the top 10 metropolitan areas in the United States participated in the study. The results indicated that perceived usefulness, perceived ease of use, and performance risk were significant in consumers’ attitude toward AI. Positive attitudes toward technology positively influenced the purchase intention. Based on these results, theoretical and practical implications are discussed.


10.2196/14316 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e14316 ◽  
Author(s):  
Tiantian Ye ◽  
Jiaolong Xue ◽  
Mingguang He ◽  
Jing Gu ◽  
Haotian Lin ◽  
...  

Background Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field. Objective This study aimed to investigate the general public’s acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people’s intention to use these devices. Methods We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from other health care–related studies. The model was verified via a 32-item questionnaire with 7-point Likert scales completed by 474 respondents (nationally random sampled). Structural equation modeling was used to evaluate item and construct reliability and validity via a confirmatory factor analysis, and the model’s path effects, significance, goodness of fit, and mediation and moderation effects were analyzed. Results Standardized factor loadings of items were between 0.583 and 0.876. Composite reliability of 9 constructs ranged from 0.673 to 0.841. The discriminant validity of all constructs met the Fornell and Larcker criteria. Model fit indicators such as standardized root mean square residual (0.057), comparative fit index (0.915), and root mean squared error of approximation (0.049) demonstrated good fit. Intention to use (R2=0.515) is significantly affected by subjective norms (beta=.408; P<.001), perceived usefulness (beta=.336; P=.03), and resistance bias (beta=–.237; P=.02). Subjective norms and perceived behavior control had an indirect impact on intention to use through perceived usefulness and perceived ease of use. Eye health consciousness had an indirect positive effect on intention to use through perceived usefulness. Trust had a significant moderation effect (beta=–.095; P=.049) on the effect path of perceived usefulness to intention to use. Conclusions The item, construct, and model indicators indicate reliable interpretation power and help explain the levels of public acceptance of ophthalmic AI devices in China. The influence of subjective norms can be linked to Confucian culture, collectivism, authoritarianism, and conformity mentality in China. Overall, the use of AI in diagnostics and clinical laboratory analysis is underdeveloped, and the Chinese public are generally mistrustful of medical staff and the Chinese medical system. Stakeholders such as doctors and AI suppliers should therefore avoid making misleading or over-exaggerated claims in the promotion of AI health care products.


2021 ◽  
Author(s):  
◽  
Mary Philomena Hancox

<p>This study chronicled a process of schoolwide planning for teacher aide supports in a New Zealand primary school. The process replicated the work of Giangreco, Edelman and Broer and followed the guidelines set out in their work - A Guide to Schoolwide Planning for Paraeducator Supports (Giangreco, Edelman, & Broer, 2001a). Data reflect the utilisation and outcomes of the process by school personnel and by the voluntary school team, which was made up of representatives from all adult constituencies of the school community, that is, management, teachers, teacher aides and parents. Results indicated that the process assisted the school and the team in self assessing their teacher aide practices, identifying priorities in need of improvement and developing action plans. Some logistical difficulties were encountered in the implementation of these plans, but despite these difficulties, the team reported a high level of satisfaction with the process. They reported that the process did what it purported to do and rated it highly on consumer-oriented variables (e.g. the logic of the process, ease of use). Additionally, teacher aides responded positively to a questionnaire on the impact of the process on their work and the school team took part in semistructured interviews to document the impact of the process on school personnel and student outcomes. Implications for teacher aide supports for teachers of students with special education needs in regular classrooms are discussed.</p>


2021 ◽  
Author(s):  
◽  
Mary Philomena Hancox

<p>This study chronicled a process of schoolwide planning for teacher aide supports in a New Zealand primary school. The process replicated the work of Giangreco, Edelman and Broer and followed the guidelines set out in their work - A Guide to Schoolwide Planning for Paraeducator Supports (Giangreco, Edelman, & Broer, 2001a). Data reflect the utilisation and outcomes of the process by school personnel and by the voluntary school team, which was made up of representatives from all adult constituencies of the school community, that is, management, teachers, teacher aides and parents. Results indicated that the process assisted the school and the team in self assessing their teacher aide practices, identifying priorities in need of improvement and developing action plans. Some logistical difficulties were encountered in the implementation of these plans, but despite these difficulties, the team reported a high level of satisfaction with the process. They reported that the process did what it purported to do and rated it highly on consumer-oriented variables (e.g. the logic of the process, ease of use). Additionally, teacher aides responded positively to a questionnaire on the impact of the process on their work and the school team took part in semistructured interviews to document the impact of the process on school personnel and student outcomes. Implications for teacher aide supports for teachers of students with special education needs in regular classrooms are discussed.</p>


Author(s):  
Nor Hayati Kassim ◽  
Norlina Mohamed Noor ◽  
Jati Kasuma ◽  
Juliza Saleh ◽  
Ceaser Dealwis ◽  
...  

Companies are now recognizing that their employees require a spectrum of mobile applications in order to achieve maximum efficiency at the workplace. Mobile applications such as WeChat, Twitter and WhatsApp via smartphones have become influential tools and extensively used by employees at the workplace. This state-of-the-art technology in communication has penetrated various fields, including routine administrative jobs at the workplace. The objective of this research is toinvestigate the acceptance of the WhatsApp mobile application for formal use among support staff at The Commission of the City of Kuching North, Sarawak (DBKU). Perceived usefulness, perceived ease of use and behavioral intention of the users in using WhatsApp are the variables measured for job performance. The researchers utilized convenience sampling, whereby a total of 105 employees from two departments participated in the investigation. Data was collected using a set of selfadministered questionnaires which was adapted from Davis. The findings revealed that perceived usefulness and perceived ease of use of WhatsApp as a means of communication were significant for job performance at DBKU. The employees felt more competent during their formal interaction at the workplace as less effort was needed while using WhatsApp. The existence of features which were user-friendly and easy operational functions helped to create positive attitudes when utilizing the application. Faster feedback, ease of use, and convenience were some of the reasons for the employees’ willingness to use WhatsApp for communication at the workplace.


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