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Article
Publication date: 28 March 2023

Yupeng Lin and Zhonggen Yu

The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely…

1667

Abstract

Purpose

The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research gap by taking an educational perspective to review the existing literature on artificial intelligence chatbots.

Design/methodology/approach

This study combines bibliometric analysis and citation network analysis: a bibliometric analysis through visualization of keyword, authors, organizations and countries and a citation network analysis based on literature clustering.

Findings

Educational applications of chatbots are still rising in post-COVID-19 learning environments. Popular research issues on this topic include technological advancements, students’ perception of chatbots and effectiveness of chatbots in different educational contexts. Originating from similar technological and theoretical foundations, chatbots are primarily applied to language education, educational services (such as information counseling and automated grading), health-care education and medical training. Diversifying application contexts demonstrate specific purposes for using chatbots in education but are confronted with some common challenges. Multi-faceted factors can influence the effectiveness and acceptance of chatbots in education. This study provides an extended framework to facilitate extending artificial intelligence chatbot applications in education.

Research limitations/implications

The authors have to acknowledge that this study is subjected to some limitations. First, the literature search was based on the core collection on Web of Science, which did not include some existing studies. Second, this bibliometric analysis only included studies published in English. Third, due to the limitation in technological expertise, the authors could not comprehensively interpret the implications of some studies reporting technological advancements. However, this study intended to establish its research significance by summarizing and evaluating the effectiveness of artificial intelligence chatbots from an educational perspective.

Originality/value

This study identifies the publication trends of artificial intelligence chatbots in educational contexts. It bridges the research gap caused by previous neglection of treating educational contexts as an interconnected whole which can demonstrate its characteristics. It identifies the major application contexts of artificial intelligence chatbots in education and encouraged further extending of applications. It also proposes an extended framework to consider that covers three critical components of technological integration in education when future researchers and instructors apply artificial intelligence chatbots to new educational contexts.

Article
Publication date: 8 May 2018

Panpan Diao, Zhonggen Zhang and Zhenyong Jin

The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications…

1133

Abstract

Purpose

The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications for improving efficiency in agricultural production as well as environment protection.

Design/methodology/approach

Based on the provincial panel data during 1995-2014, the agricultural productivity of China and its regional disparity are analyzed. First, the agricultural TFP and its decomposition are dynamically evaluated by means of data envelopment analysis-Malmquist productivity index. Second, the agricultural radial production efficiency in year 2014 and the input redundancy changes from 1995 to 2014 are measured based on the BCC-slacks-based measure model.

Findings

The results showed that the overall agricultural TFP of China grew 4.3 percent annually during 1995-2014, mainly as a result of technical progress. However, the declines of technical efficiency and scale efficiency slowed down the agricultural TFP growth. The TFP growth in the Western region and Central region far exceeded the Eastern region in last few years. In 2014, most effective decision-making units were in the Western region. The input redundancies in the agricultural production increased substantially after 2006, especially for the pesticide use amount, reservoir capacity and agricultural machinery power.

Originality/value

Combining the dynamic and static analyses, the paper fulfilled the study of China’s agricultural productivity and the input redundancies in recent years, and also presented the regional disparities.

Details

China Agricultural Economic Review, vol. 10 no. 2
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 7 June 2022

Davinder Kaur and Rajpreet Kaur

This paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the…

Abstract

Purpose

This paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the moderating role of gender differences in e-recruitment adoption through the application of technology acceptance model (TAM) in India.

Design/methodology/approach

A convenience sampling technique was used to collect online data via GoogleDocs through various online channels such as social media, LinkedIn and email. The final data was collected from 364 final-year graduates and postgraduate students to confirm the impact of female and male differences, measurement invariance in composite models (MICOM) and multi-group analysis (MGA).

Findings

The results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) have a direct impact on attitude (AT), whereas PU influenced behavioral intentions (BI) of job-seekers, but PEOU did not. AT directly leads to the BI. The outcomes of mediation analysis show that AT partially mediates the relationships between PU to BI and PEOU to BI. Further, the findings of MICOM and MGA showed that gender significantly moderates all the relationships between the constructs except for the influence of AT on BI.

Research limitations/implications

This study contributes to the current literature, revealing that the original TAM model is still pertinent and effective in prevailing periods in emerging markets. The significance of PEOU and PU on AT and BI implies that job-seekers will strongly adopt e-recruitment when it is user-friendly and assist them to accomplish their tasks easily and efficiently. Moreover, gender has a vital moderating influence in e-recruitment adoption. In the case of females, the effect of PEOU is stronger, and for males, PU has a substantial impact on adoption.

Practical implications

Developers and recruiters should provide significant information related to salary, location and job profile on e-recruitment to enhance the adoption rate of online recruitment. Further, the usefulness of e-recruitment systems was more significant for males compared to females, whereas female job-seekers prefer the e-recruitment system, which is easy to use and operate.

Originality/value

This research fills a gap in the literature by examining the essential factors affecting the BI of job-seekers as well as empirically testing the impact of gender differences to adopt TAM for e-recruitment – an under-explored subject in developing countries like India.

Details

The Bottom Line, vol. 35 no. 2/3
Type: Research Article
ISSN: 0888-045X

Keywords

Article
Publication date: 6 August 2021

Farheen Mujeeb Khan and Yuvika Gupta

This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate…

Abstract

Purpose

This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students.

Design/methodology/approach

This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined.

Findings

Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies.

Originality/value

As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.

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