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Article
Publication date: 3 August 2021

Shahzad Shabbir, Muhammad Adnan Ayub, Farman Ali Khan and Jeffrey Davis

Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of…

251

Abstract

Purpose

Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session, therefore, they need to be addressed in real time to keep the learner engaged in the learning process. Similarly, long-term learners’ motivation plays an equally important role to retain the learner in the long run and minimize the risk of dropout. Therefore, the purpose of this study is to incorporate a comprehensive learner motivation model that is based on short-term and long-term aspects of the learners' motivation. This approach enables Web-based educational systems to identify the real-time motivational state of the learner and provide personalized interventions to keep the learners engaged in learning process.

Design/methodology/approach

Recent research regarding personalized Web-based educational systems demonstrates learner’s motivation to be an essential component of the learning model. This is because of the fact that low motivation results in either students’ less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of perceptions and beliefs that the system has developed about a learner. This includes both short-term and long-term motivations of leaners.

Findings

This study proposed a framework of a domain independent learners’ motivation model based on firm educational theories. The proposed framework consists of two modules. The primary module deals with real-time identification of motivation and logging off activities such as login, forum participation and adherence to assessment deadline. Secondary module maintains the profile of leaners associated with both short-term and long-term motivation. A study was conducted to verify the impact of learners’ motivation model and personalized interventional strategies based on proposed model, using Systematical Information Education Method assessment standards. The results show an increase in motivational index and the characteristics associated with motivation during the conducted study.

Originality/value

Motivational diagnosis is important for both traditional classrooms and Web-based education systems. It is one of the major elements that contribute in the success of the learning process. However, dropout rate among online students is very high, which leads to incorporate motivational elements in more personalized way because motivated students will retain the course until they successfully complete it. Hence, identifying learner’s motivation, updating learners’ motivation model based on this identification and providing personalized interventions are the key for the success of Web-based educational systems.

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Book part
Publication date: 21 August 2017

Miriam Barnat, Elke Bosse and Caroline Trautwein

The methodological discourse of mixed-methods research offers general procedures to combine quantitative and qualitative methods for investigating complex fields of research such…

Abstract

The methodological discourse of mixed-methods research offers general procedures to combine quantitative and qualitative methods for investigating complex fields of research such as higher education. However, integrating different methods still poses considerable challenges. To move beyond general recommendations for mixed-methods research, this chapter proposes to discuss methodological issues with respect to a particular research domain. Taking current studies on the transition to higher education as an example, the authors first provide an overview of the potentials and limitations of quantitative and qualitative methods in the research domain. Second, they show the need for a conceptual framework grounded in the theory of the research object to guide the integration of different methods and findings. Finally, an example study that investigates transition with regard to the interplay of the individual student and the institutional context serves to illustrate the guiding role of theory. The framework integrates different theoretical perspectives on transition, informs the selection of the research methods, and defines the nexus of the two strands that constitute the mixed-methods design. As the interplay of individual and context is of concern for teaching and learning in general, the example presented may be fruitful for the wider field of higher education research.

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Theory and Method in Higher Education Research
Type: Book
ISBN: 978-1-78743-222-2

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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…

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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.

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Article
Publication date: 1 December 1992

F.R. Allen, L. Fryer and M. Zahid

Describes a database that has been set up to analyse accidentswhich pose a hazard to the environment. Presents the preliminary resultsof an analysis of the data, from which useful…

349

Abstract

Describes a database that has been set up to analyse accidents which pose a hazard to the environment. Presents the preliminary results of an analysis of the data, from which useful insights have been obtained.

Details

Disaster Prevention and Management: An International Journal, vol. 1 no. 3
Type: Research Article
ISSN: 0965-3562

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Book part
Publication date: 4 November 2020

Steven Schlozman

Abstract

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Arts For Health: Film
Type: Book
ISBN: 978-1-83867-312-3

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Book part
Publication date: 10 August 2017

Kathryn Freeman Anderson

Scholarship has demonstrated important consequences of segregation on health and health care outcomes, yet the mechanisms behind this association remain poorly understood. Several…

Abstract

Scholarship has demonstrated important consequences of segregation on health and health care outcomes, yet the mechanisms behind this association remain poorly understood. Several recent studies have shown inequities in the distribution of a wide variety of health-related organizations across urban neighborhoods, which may account for some portion of this negative health association. Though, within this literature, relatively little attention has been given to the distribution of health care facilities in particular.

Here, I consider how segregation is related to the distribution of several auxiliary health care practitioners in a series of spatial regression models of zip codes across the United States using data from the 2010 US Census and County Business Patterns (CBP).

I find that both Black and Latino segregation is negatively related to the density of a number of auxiliary health care practitioners, including mental health providers, dentists, physical/occupational/speech therapists, chiropractors, optometrists, podiatrists, and miscellaneous health care practitioners. However, this association is reduced (in certain instances to non-significance) with the inclusion of socioeconomic indicators, chiefly the percent of college educated individuals and the unemployment rate of the zip code. This is association is reduced for both Black and Latino segregation, with a larger reduction in the size of the effects for Latino segregation.

This research suggests that segregation plays an important role in the distribution of health care facilities, but that policy and public health interventions should focus on the intersection between racial residential segregation and socioeconomic considerations.

Details

Health and Health Care Concerns Among Women and Racial and Ethnic Minorities
Type: Book
ISBN: 978-1-78743-150-8

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Book part
Publication date: 24 June 2024

Andreia de Bem Machado, Maria José Sousa and Gertrudes Aparecida Dandolini

Blockchain is an innovative and emerging technology that allows the structuring of open data in a secure and decentralized manner. This technology, coupled with artificial…

Abstract

Blockchain is an innovative and emerging technology that allows the structuring of open data in a secure and decentralized manner. This technology, coupled with artificial intelligence (AI), is a driver of digital transformation that permeates all sectors of the economy. In this context, it becomes relevant to understand the applicability of AI and blockchain in education, more specifically their use in higher education. Thus, the following problem arises: how can blockchain technology and AI be applied to higher education? To answer this problem, the following objective was set: to map by means of a scoping review how AI and blockchain can be applied in education as a technology for higher education. To this end, a bibliometric search was conducted in the Web of Science (WoS) and Scopus databases, adopting the PRiSM methodology for scoping review. The results showed that blockchain and AI can be used in higher education through a smart contract that serves to motivate teamwork and student involvement in activities performed in the school context and also to increase machine reliability by establishing a chain of information. It is also concluded that these technologies will help form a generation ready to work in a more collaborative way, adopting attitudes of sustainability in its local and global context for solving complex problems of everyday life in the 21st century.

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Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives
Type: Book
ISBN: 978-1-83753-536-1

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Book part
Publication date: 4 July 2019

Abstract

Details

SDG3 – Good Health and Wellbeing: Re-Calibrating the SDG Agenda: Concise Guides to the United Nations Sustainable Development Goals
Type: Book
ISBN: 978-1-78973-709-7

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Book part
Publication date: 14 March 2024

Giulia Pavone and Kathleen Desveaud

This chapter provides an overview of the strategic implications of chatbot use and implementation, including potential applications in marketing, and factors affecting customer…

Abstract

This chapter provides an overview of the strategic implications of chatbot use and implementation, including potential applications in marketing, and factors affecting customer acceptance. After presenting a brief history and a classification of conversational artificial intelligence (AI) and chatbots, the authors provide an in-depth review at the crossroads between marketing, business, and human–computer interaction, to outline the main factors that drive users' perceptions and acceptance of chatbots. In particular, the authors describe technology-related factors and chatbot design characteristics, such as anthropomorphism, gender, identity, and emotional design; context-related factors, such as the product type, task orientation, and consumption contexts; and users-related factors such as sociodemographic and psychographic characteristics. Next, the authors detail the strategic importance of chatbots in the field of marketing and their impact on consumers' perceived service quality, satisfaction, trust, and loyalty. After discussing the ethical implications related to chatbots implementation, the authors conclude with an exploration of future opportunities and potential strategies related to new generative AI technologies, such as ChatGPT. Throughout the chapter, the authors offer theoretical insights and practical implications for incorporating conversational AI into marketing strategies.

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The Impact of Digitalization on Current Marketing Strategies
Type: Book
ISBN: 978-1-83753-686-3

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Article
Publication date: 1 February 2021

Daniel Bailey, Ashleigh Southam and Jamie Costley

This study aims to increase language learning (L2) output by incorporating a digital storytelling chatbot system (known as a “storybot”) that focused interactions on a narrative…

984

Abstract

Purpose

This study aims to increase language learning (L2) output by incorporating a digital storytelling chatbot system (known as a “storybot”) that focused interactions on a narrative. This study also sought to investigate student perceptions of these storybot interactions and improve on poor perception rates from previous studies.

Design/methodology/approach

This one-sample exploratory study was of student-storybot participation rates and student perceptions towards a storybot activity designed to increase L2 output. A combination of storybot participation analytics and survey analysis of student perception was carried out.

Findings

The use of storybots in the L2 class resulted in mixed participation rates. Students read nine times more than they wrote, indicating a high degree of reading comprehension necessary for storybot interaction. Survey results revealed that students believed storybots helped them meet their L2 goals, were relevant to their L2 and were easy to navigate.

Research limitations/implications

Interactions were through text messaging so no impact on speech or pronunciation could be observed. Further, the context was within a single university class in South Korea, restricting the generalization of findings to outside regions or with younger learners. Finally, while storybots proved to be valuable reading comprehension activities, the next step in this line of chatbot research should incorporate more writing prompts.

Practical implications

Storybots revealed explicit benefits to reading comprehension, as measured by cohesion between storybot delivered comprehension questions and student responses. Moreover, storybots can be used as examples for students in their own story creation, classroom forms to collect relevant student information regarding learning objectives and platforms for class quizzes.

Social implications

Storybots scaffold students through conversations, which abide by socio-pragmatic norms, providing models for L2 learners to incorporate in real-world text-based communication. Additionally, a wide range of idiomatic expressions is contextualized in comprehensible interactions that students can learn from the storybot then practice with friends.

Originality/value

This study contributes to the growing research on the use of chatbots for second L2 and offers specific insight into the use of narrative storybots as a means to increase L2 output and potentially benefit L2 reading comprehension.

Details

Interactive Technology and Smart Education, vol. 18 no. 1
Type: Research Article
ISSN: 1741-5659

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