Research Questions Research Articles

Artificial intelligence and internet of things in manufacturing decision processes

This paper explores the influence of the internet of things (IoT) and artificial intelligence (AI) on the decision-making processes of modern manufacturing systems. With the proliferation of IoT devices and the development of AI technologies, manufacturing companies increasingly leverage these technologies to improve their decision-making abilities. This study aims to investigate the potential benefits, difficulties, and ramifications of integrating IoT and AI in manufacturing systems. The review employs the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method with a systematic mapping process with four research questions. A total of 1282 articles were collected between 2017 and 2023, reviewed in accordance with the inclusion and exclusion criteria, and 66 articles were chosen. The research on IoT and AI technologies influentially affects other research in the production control layer manufacturing area based on the top-ten cited articles. In contrast, the research in this area focused on the operations management layer, specifically manufacturing analytics processes. This paper’s findings contribute to a greater understanding of the impact of IoT and AI on decision-making in modern multi-domain manufacturing systems and provide direction for future research in this field.

Sharing is caring: An ethnographic approach to Spanish WhatsApp groups

Sharing is a key function of social media (Yus, 2022). This study aims to analyse the sharing practices of five Spanish WhatsApp groups from a pragmatic, ethnographic and qualitative perspective. The groups consist of family members, friends and three groups formed by work colleagues. Specifically, this study aims to respond three research questions: What do group members share? To what extent is the act of sharing explicitly and meta-pragmatically talked about and responded to? And to what extent do recipients respond to sharing also in a meta-pragmatically explicit way? Results show that both family and friends follow similar patterns, where interactants share good news and entertainment to boost rapport. Interestingly, this pattern is replicated by working groups, whose ultimate aim is rather different. This reveals that, independently of why the WhatsApp group was created, participants prefer boosting rapport by means of mutual enjoyment (Yus, 2023) rather than using these groups exclusively for their instrumental purpose, possibly because of Spanish culture's orientation to positive politeness (Iglesias Recuero, 2017). However, the meta-pragmatics of both types of groups seems to differ, with more explicit references performed in the working groups, probably due to the need to explicitly acknowledge that sharing might not be the groups' originally intended aim.

Barriers and facilitators of self-management of diabetes amongst people experiencing socioeconomic deprivation: A systematic review and qualitative synthesis.

The number of people living with diabetes is rising worldwide and a higher prevalence of diabetes has been linked to those experiencing socioeconomic deprivation. Self-management strategies are vital and known to reduce the risks of long-term complications amongst people living with diabetes. Lack of knowledge about self-care activity required to manage diabetes is a key barrier to successful self-management. Self-management interventions can be less effective in socioeconomically deprived populations which can increase the risk of exacerbating health inequalities. The purpose of this review is to identify and synthesise qualitative evidence on the barriers and facilitators of self-management of diabetes amongst people who are socioeconomically disadvantaged. MEDLINE, EMBASE, AMED, PsycINFO and CINAHL Plus were searched for qualitative studies concerning self-management of multiple long-term conditions amongst socioeconomically disadvantaged populations. Relevant papers which focused on diabetes were identified. Data were coded and thematically synthesised using NVivo. From the search results, 79 qualitative studies were identified after full-text screening and 26 studies were included in the final thematic analysis. Two overarching analytical themes were identified alongside a set of subthemes: (1) Socioeconomic barriers to diabetes self-management; healthcare costs, financial costs of healthy eating, cultural influences, living in areas of deprivation, competing priorities and time constraints, health literacy, (2) facilitators of diabetes self-management; lifestyle and having goals, support from healthcare providers, informal support. Self-management of diabetes is challenging for people experiencing socioeconomic deprivation due to barriers associated with living in areas of deprivation and financial barriers surrounding healthcare, medication and healthy food. Support from healthcare providers can facilitate self-management, and it is important that people with diabetes have access to interventions that are designed to be inclusive from a cultural perspective as well as affordable. A patient advisory group contributed to the research questions and interpretation of the qualitative findings by reflecting on the themes developed.

Protocol: The effect of restorative justice interventions for young people on offending and reoffending: A systematic review.

This is the protocol for a Campbell systematic review. The objectives are as follows. The primary aim of this mixed methods review is to synthesise the available evidence regarding the effectiveness of restorative justice interventions (RJIs) for reducing offending and reoffending outcomes in children and young people. We are also particularly interested in the impact of RJIs on children and young peoples' violent offending and violent reoffending. A second aim of the review is to examine whether the magnitude of effectiveness of RJIs may be influenced by study characteristics such as the population (e.g., age, ethnicity, or sex), the form of intervention (e.g., face-to-face mediation compared to family group conferencing), the place of delivery of the intervention (e.g., in independent office, in court), implementation (e.g., trained facilitators, dose, fidelity) and methodology (e.g., randomised controlled trial).The third aim of the review is to synthesise the qualitative evidence about RJ to develop a better contextual understanding of how these programmes may work and to elucidate factors that might increase the efficacy and implementation of RJ interventions. The specific research questions this systematic review aims to address are: (1) Do RJ interventions reduce children and young people's involvement in offending or reoffending relative to a comparison group? [RQ1]. (2) Is there variation in the impact of different RJ approaches on young people's involvement in offending or reoffending? [RQ2]. (3) Is there variation in the impact of RJIs on children and young people's offending or reoffending depending on the characteristics of the participants taking part in the RJI (e.g., sex, age, ethnicity)? [RQ3]. (4) What characteristics of RJIs, influence the effectiveness of RJIs for children and young people's offending and reoffending? [RQ4]. (5) What are the most notable barriers and facilitators, as reported by participants (e.g., the victims, children/young people, or mediators who have taken part in an evaluation of an RJI, or those children or young people who were meant to take part in an evaluation but ultimately did not), to the implementation of RJIs to reduce later offending or reoffending? [RQ5].

AURA-The Privacy Preserving Multifunctional Desktop Voice Assistant

Abstract: The “AURA” is the project which proposes the development of the versatile desktop voice assistant which mainly focuses on the privacy of the user.The convenience of voice interaction has surged in popularity, but concerns about user privacy remain. Conventional cloud-based voice assistants raise anxieties regarding data collection, storage, and potential misuse. This survey paper explores the burgeoning field of privacy-preserving desktop voice assistants powered by Artificial Intelligence (AI). We delve into the core challenges of on-device speech recognition, natural language understanding, and response generation while maintaining user privacy. We conclude by outlining open research questions and future directions for this evolving field, paving the way for the development of secure and user-centric voice interaction experiences on desktops.

Women’s memory of episiotomy experience from 2 months to 2 years after birth in Orlu Imo State

Episiotomy procedures are defined based on the millimetre distance from the incision point to the posterior fourchette and the angle in degrees from the sagittal or parasagittal plane. This study examined Women's Memory of Episiotomy Experience from 2 Months to 2 Years after Birth in Orlu of Imo State. The study employed a qualitative survey design with four research questions. The sample size of 57 participants was selected, convenience sampling technique was used to select the respondents, the respondent were thus; women who underwent episiotomy 25, Midwives 8, family members 24. Data were collected using one on-one interview, via recordings. Data was analysed using percentages, barcharts and content analysis approach and thematic categorization. The results revealed 60% of the respondents come from low socioeconomic background. The study further revealed that; the challenges women experience within 2 months to 2 years as result of episiotomy were pain, inability to breast feed; due to inability to sit well, inability to walk freely, the perceived impact of episiotomy on women within the first 2 months to 2 years after birth were inability to have sex as usual. In conclusion, women were inadequately informed and not psychologically prepared for episiotomy, the respondent’s experienced untoward effect after the procedure which included: pain, and interference with daily life activities. Therefore, the study recommends that healthcare providers, especially midwives, to seek alternatives to routine use of episiotomy, and consider selective episiotomy practices based on individual patient need and thus educate pregnant mothers on perineal massage using recommended oil.

Дорогая бесплатность

Digital platforms, as a rule, offer their services to at least one of the parties without a monetary fee, but by charging another resource – information – in the form of personal information and digital footprints. Analysis mechanisms of collected information provide companies with hidden competitive power, which, on the one hand, allows them to increase efficiency, but on the other hand, carries potential threats for many individual users and for economic welfare. The main research question concerns the presence of incentives to maintain or enhance privacy on the Internet, which arise not only from users, but also from business, as well as the role of government regulators in this process. Some of the urgent regulatory decisions to develop a competitive environment in digital markets and ensure transparency of processes within ecosystems, discussed in this article, can provide progress in user control over their personal information. At the same time, the proposed changes will lead to additional information security risks (and other aspects). The question of ensuring the guarantor reliability related to privacy on the Internet remains open.

Employee learning and skilling in AI embedded organizations – predictors and outcomes

Purpose In this research article we aim to answer two research questions: - With ever increasing AI based integrations in organizations, it is imperative to understand how employees learn and adapt to these newer technologies? What is the impact of this learning and adaptation on AI-based employee productivity? Design/methodology/approach A survey-based research design has been conducted among the employees working in technology companies. Questionnaires were administered by the researchers physically using snowball based purposive sampling to reach the participants who are working in the AI driven technology companies. The data was analyzed using Structural Equation Modelling and numerous studies have previously used this approach for model fit and testing. Findings it was found that employee learning has significant positive mediational impact on the relationship between AI trust, knowledge sharing and AI skills and AI-employee collaboration. SEM results indicate that data fits the proposed model well. Practical implications findings indicate that as the trust in AI develops, employees are more interested in learning and increasing their understanding of AI driven work and increase their AI skills such as Machine learning and data analytics. To increase AI-employee collaborations and upskilling: organizations will need to foster AI training opportunities; make employees work on projects having AI based sociotechnical systems; create environment of knowledge sharing among employees on AI themes. Originality/value The use of Artificial Intelligence (AI) is ubiquitous, and more and more organizations are adopting AI in their operations which lead to massive scale changes in the functioning of organizations. These large-scale massive transformations are posing challenges and opportunities at the same time. At the same time, it created immense challenges for employees’ adjustment to the new learning and skilling requirements posed by AI (Sengupta et al., 2022). It is therefore expected that employees embrace the associated new technologies of AI such as big data analytics, Machine learning and Robotics.

AAPM&R consensus guidance on spasticity assessment and management.

The American Academy of Physical Medicine and Rehabilitation (AAPM&R) conducted a comprehensive review in 2021 to identify opportunities for enhancing the care of adult and pediatric patients with spasticity. A technical expert panel (TEP) was convened to develop consensus-based practice recommendations aimed at addressing gaps in spasticity care. To develop consensus-based practice recommendations to identify and address gaps in spasticity care. The Spasticity TEP engaged in a 16-month virtual meeting process, focusing on formulating search terms, refining research questions, and conducting a structured evidence review. Evidence quality was assessed by the AAPM&R Evidence, Quality and Performance Committee (EQPC), and a modified Delphi process was employed to achieve consensus on recommendation statements and evidence grading. The Strength of Recommendation Taxonomy (SORT) guided the rating of individual studies and the strength of recommendations. The TEP approved five recommendations for spasticity management and five best practices for assessment and management, with one recommendation unable to be graded due to evidence limitations. Best practices were defined as widely accepted components of care, while recommendations required structured evidence reviews and grading. The consensus guidance statement represents current best practices and evidence-based treatment options, intended for use by PM&R physicians caring for patients with spasticity. This consensus guidance provides clinicians with practical recommendations for spasticity assessment and management based on the best available evidence and expert opinion. Clinical judgment should be exercised, and recommendations tailored to individual patient needs, preferences, and risk profiles. The accompanying table summarizes the best practice recommendations for spasticity assessment and management, reflecting principles with little controversy in care delivery.

Integrated women's football teams can attract larger stadium crowds

ABSTRACT Research Question Women's sports have seen a trend of diversification recently, with women's and men's teams merging to form integrated football clubs. While such integrated clubs (e.g. Paris Saint-Germain), in particular, have determined the media headlines with record attendances, governing bodies have begun drafting policies to accelerate such strategic integrations. However, empirical evidence on whether integrated women's football teams (which may benefit from brand spillover effects, among other things) attract larger crowds to their stadiums is limited at best. Naturally, this raises the question of whether being an integrated football club matters for women's football stadium attendance demand. Research Method Using ordinary least squares regression with season-level fixed effects with a dataset of 1,506 games played over 11 seasons before and after the COVID pandemic in Germany, France, and Sweden, we are the first to present robust evidence on the association between being an integrated football clubs and stadium attendance demand for European women’s football across multiple markets. Results and Findings We find that integrated women's football teams can attract larger crowds. Intriguingly, such demand synergies, however, are not a given emerging from a strong brand effect, per se. Instead, women's football club executives must proactively unlock these synergies to avoid adverse effects. Implications Our findings suggest that women’s football may achieve a higher potential through integration, but only if the women’s team is managed as more than an ancillary second team. As such, despite being formulated with the best intentions, forced integration policies might backfire.

Towards sustainable lean success: a systematic literature review on critical failure factors

PurposeLean manufacturing (LM) is a leading philosophy used by organizations to become inevitable in the challenging market. However, prior research showed evidence that 90% failure rate of LM within 10 years of implementation, hence this study is to undertake a systematic literature review on the failure of LM implementation.Design/methodology/approachThis study was conducted with the guidance by review protocol, research questions’ formulation, systematic searching based on identification, screening and eligibility using Scopus and Web of Science databases, quality appraisal, data exclusion and analysis.FindingsDerived from 15 sub-themes, five main themes were discovered based on the thematic analysis to answer the research question on “What strategies should manufacturers do to prevent the failure of LM implementation?”, namely (1) leadership, (2) culture, (3) knowledge, (4) resources and (5) suppliers.Research limitations/implicationsWoS and Scopus were employed in this review, despite there are 14 databases with the ability to search for potential articles in them. Mixed-Method Appraisal Tool (MMAT) was used to evaluate the quality control process, however using various quality assessment techniques helps to search for appropriate review objectives.Practical implicationsThe primary emphasis of this study can be used as a reference by the manufacturers to ensure that LM implementation is a success story to gain a competitive advantage.Originality/valueDespite a large body of literature on LM, there has been little attempt to review this study in a systematic approach, discover trends and generate thematic potential on the failure factors of LM, making it difficult for academics to replicate and interpret.

Analysing the Nexus: Stock Indices and Cryptocurrencies During the Conflict Between Russia and Ukraine

Background: The global economy faced increased instability due to the simultaneous occurrence of two major events, the global pandemic in 2020 and the Russian-Ukrainian conflict in 2022, which impacted the financial markets. Purpose: This paper aimed to evaluate the comovements between the USA (S&P 500), Germany (DAX 30), France (CAC40), Japan (Nikkei 225), Canada (TSX), Russia (MOEX) and Ukraine (PFTS) stock markets and the cryptocurrencies Bitcoin (BTC), Ethereum (ETH), Litcoin (LTC) Dash (DASH/USD), Ripple (XRP) DigiByte (DGB) and Nem (XEM), from February 24, 2022, to April 12, 2023 Methods: The approach to our research question will involve using the causality econometric model, Granger SVAR (Vector Autoregressive). Results: The results showed that stock indices and digital currencies show sharp structural breaks, and not all markets influence cryptocurrencies. The MOEX stock market affects the price formation of BTC, ETH, DGB, XEM, and XRP, while the DAX 30 stock index impacts ETH, LTC, DASH, DGB, and XEM. The Ukraine market (PFTS) influences ETH, but the other stock markets do not influence any of the cryptocurrencies analysed. Conclusion: Investors, policymakers, and other participants operating in the digital currency markets can find valuable information in the study's conclusions when seeking to rebalance their portfolios.

Work environment as predictors of perceived organisational performance of private university libraries in South-west, Nigeria

The library is the major source of information provider in the university community, which makes it a storehouse of information for intellectual development for staff and students. The effective and efficient performance of any private university library personnel will greatly depend on the work environment of the private university library which can be conducive or unconducive for them to perform their task. To this effect, this study investigated the influence of the work environment on organisational performance of private university libraries in South-west, Nigeria. Two research questions were answered while one hypothesis was tested at 0.05 alpha level. The study adopted survey research design of the correlational type with the study population of 430 librarians from 30 private universities established as at 2021, in the six states of South-west, Nigeria. The study used total enumeration method to cover all the professional and para-professional library personnel. A validated questionnaire was used for data collection. The Cronbach alpha was used to compute the reliability coefficient of the instruments as follows: Work environment (0.730) and organisational performance (0.885). Sample of 378 questionnaires were retrieved and used for data analysis using descriptive statistics, while inferential statistics was used for data analysis. Findings revealed that the state of work environment of private university libraries in the south-west is conducive. Result from the finding indicated that there is large organisational performance in the private university libraries, the result also revealed that there is a significant relationship between work environment and organisational performance of private university libraries in South-West, Nigeria (r=.513, n=378, p (.000)<.05) and Psychological work environment (r=.449, p(.000)<.05), has the highest influence. Hence, work environment influenced/enhanced organisational performance of private university libraries in the study.

The effect of the initial distribution of labor-related property rights on the allocative efficiency of labor markets

IntroductionThe Coase Theorem posits that frictionless markets efficiently allocate scarce resources as long as property rights are fully specified. Our empirical study investigates how the initial allocation of labor-related property rights influences the allocative efficiency in labor markets for skilled workers within a highly competitive environment—professional basketball. Specifically, we compare two regimes: one where employers can trade workers to other employers without the worker's consent, and another where workers are free agents, able to negotiate and move freely without their employer's consent.MethodsWe utilize the NBA as a “laboratory” to conduct our analysis, constructing a unique panel dataset that includes 3,132 player-season observations spanning 17 regular seasons from 2003/04 to 2019/20. To address our research question, we employ linear panel regression models to analyze the data.Results and discussionThe findings reveal a decline in productivity among workers who transition to new employers as free agents, a phenomenon not observed among non-free agents. This observation suggests that allocative efficiency might be higher when workers are traded without their consent compared to when they exercise their autonomy as free agents. These findings highlight the significant impact that the initial distribution of labor-related property rights has on labor market efficiency, potentially challenging the assumptions of the Coase Theorem. However, the lack of a statistically significant difference in productivity changes between free agents and non-free agents moving to new employers prevents us from definitively rejecting the predictions of the Coase Theorem.

Leadership Styles of Head teachers in Relation to Teachers’ Job Satisfaction: A Case Study of the Volta Region – Ghana

Purpose: The present study focuses on exploring the leadership styles of basic school headteachers, and their effects on teachers’ job satisfaction in Ghana’s Volta region. Methodology: Two research questions and one hypothesis guided the study. The study adopted a descriptive research design. The study was conducted in the Volta region of Ghana. The population of the study are 3,009 headteachers and 17,889 teachers in the 18 districts in the Volta Region. The sample size of the study was 191 headteachers and 328 teachers. Multi-stage sampling technique was used to draw the sample size. The Multifactor Leadership Questionnaire (MLQ) and Mohrman-Cooke-Mohrman Job Satisfaction Scale (MCMJSS) was adopted for the study. Findings: It was found that headteachers identified moderate levels of transformational, transactional, and laissez-faire as the leadership styles adopted by headteachers. Also, the majority of the headteachers had a very low level of job satisfaction whereas the majority of the teachers had a very high level of job satisfaction. Among the three leadership styles, transformational (β = .47, p < .001) and laissez-faire leadership styles (β = .19, p = .002) were the only significant predictors of job satisfaction. Both transformational and laissez-faire forms of leadership were positive predictors of job satisfaction. Unique Contributor to Theory, Policy and Practice: The results shows that headteachers identified moderate levels of transformational (M = 7.68, SD = 0.83), transactional (M = 7.51, SD = 1.15), and laissez-faire (M = 6.94, SD = 1.89) as the leadership styles adopted by headteachers. It shows that 128 (71.9%) of the headteachers had a very low level of job satisfaction, while 30 (16.9%) had a very high level of job satisfaction. On the contrary, 153 (52.8%) of the teachers had a very high level of job satisfaction while 21 (7.1%) had a very low level of job satisfaction. The three leadership styles; transformational (β = .47, p < .001) and laissez-faire leadership styles (β = .19, p = .002) were the only significant predictors of job satisfaction. Both transformational and laissez-faire forms of leadership were positive predictors of job satisfaction. Based on the findings of the study, relevant conclusions were drawn.

Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication.

Animal communication is frequently studied with conventional network representations that link pairs of individuals who interact, for example, through vocalization. However, acoustic signals often have multiple simultaneous receivers, or receivers integrate information from multiple signallers, meaning these interactions are not dyadic. Additionally, non-dyadic social structures often shape an individual's behavioural response to vocal communication. Recently, major advances have been made in the study of these non-dyadic, higher-order networks (e.g. hypergraphs and simplicial complexes). Here, we show how these approaches can provide new insights into vocal communication through three case studies that illustrate how higher-order network models can: (i) alter predictions made about the outcome of vocally coordinated group departures; (ii) generate different patterns of song synchronization from models that only include dyadic interactions; and (iii) inform models of cultural evolution of vocal communication. Together, our examples highlight the potential power of higher-order networks to study animal vocal communication. We then build on our case studies to identify key challenges in applying higher-order network approaches in this context and outline important research questions that these techniques could help answer. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamics'.

Impact of integrating smartphones in the teaching and learning of Mathematics in Mberengwa district, Zimbabwe

Worldwide, the utility of smartphones in the teaching and learning of Mathematics has been greatly recognized and taken advantage of. This is mainly because of the precisions this technology can bring in the classroom. This study investigated the impact of integrating smart phones in the teaching and learning of Mathematics at secondary schools in Chegato Cluster in Mberengwa district, Zimbabwe. It also examined strategies that can be used to enhance the use of smartphones in these schools. The study used a mixed method approach where both qualitative and quantitative data was gathered and was used to answer the formulated research questions. Ten parents, 10 Mathematics teachers, 4 school heads and 40 learners participated in the study. The study found that the introduction of the competence-based curriculum by the ministry of Education in Zimbabwe, which is in solidarity with Education 5.0 calls for the use of smart phones in the teaching and learning of Mathematics which ensures that several modern skills are being acquired by learners in Chegato secondary schools. Learners in Chegato Cluster benefit by using smartphones to store soft copies of various Mathematics textbooks which are often scarce in hard-copy form. Students also benefit from Mathematical applications that are installed in their smartphones. Teachers use smartphones as media in the classroom to enhance learner-understanding of the concepts. Again, in Chegato, the use of smartphones has exposed learners to various Mathematical technological skills that help in the learning of Mathematics and has the potential of improving the pass rate. School heads and teachers acknowledged that the availability of smartphones in the schools has greatly assisted “O” level Mathematics learners to accomplish their tasks.Strategies that can be used to enhance the use of smartphones in secondary schools include the use of individualised student passwords which are controlled and monitored by the school administrators to ensure that the activities of each learner on the Internet can be tracked and any attempts by students to visit undesirable sites are detected. Also, the use of software applications, such as Mikrotik Hotspot Blocker, can be used to block students from accessing unsavoury Internet sites. The study concluded that though challenges such as lack of technological resources and some educators’ negative attitudes towards the use of smart phones affect Chegato Cluster, most participants found it helpful to use smartphones in the classroom because the gadget expose learners to new and better ways of dealing with Mathematical concepts. The study finally calls for all the involved parties in the cluster and beyond to actively take up their responsibilities facilitating the use of smartphones for the benefits of the students.

Treatment for Childhood Apraxia of Speech: Past, Present, and Future.

The purposes of this review article were to provide an introduction to and "bird's-eye" overview of the current evidence base for treatment of childhood apraxia of speech (CAS), identify some gaps and trends in this rapidly growing literature, and formulate some future research directions, in order to advance the evidence base and clinical practice for children with CAS. Following a brief introduction outlining important concepts, a narrative review of the CAS treatment literature is provided, and trends and future directions are identified based on this review. The review is organized around four fundamental treatment research questions: (a) "Does Treatment X work?", (b) "Does Treatment X work better than Treatment Y?", (c) "For whom does Treatment X work?", and (d) "What does 'work' mean, anyway?" A wide range of CAS treatments with varying degrees of evidence for efficacy exists. Research is beginning to emerge that compares different treatments and seeks to determine optimal treatment parameters. Few studies to date have explored child-level predictors of treatment response, and the evidence base currently is limited in scope with respect to populations and outcomes studied. A growing evidence base supports the efficacy of a number of treatments for CAS. However, many important gaps in the literature were identified that warrant redoubled and sustained research attention. Research is beginning to emerge that addresses treatment optimization, comparison, candidacy, and outcomes. Suggestions for future research are offered, and the concept of a hypothesized pathway was applied to CAS to illustrate how components of an intervention can effect change in a clinical goal and can help guide development and refinement of treatments for children with CAS.

Introduction

AbstractThis Introduction provides a description of the cluster, complete with the background and rationale for it, the research questions it poses, and an article‐by‐article succinct presentation.

Using Synchronized Eye Movements to Predict Attention in Online Video Learning

Concerns persist about attentional engagement in online learning. The inter-subject correlation of eye movements (ISC) has shown promise as an accessible and effective method for attention assessment in online learning. This study extends previous studies investigating ISC of eye movements in online learning by addressing two research questions. Firstly, can ISC predict students’ attentional states at a finer level beyond a simple dichotomy of attention states (e.g., attending and distracted states)? Secondly, whether learners’ learning styles affect ISC’s prediction rate of attention assessment in video learning? Previous studies have shown that learners of different learning styles have different eye movement patterns when viewing static materials. However, limited research has explored the impact of learning styles on viewing patterns in video learning. An eye tracking experiment with participants watching lecture videos demonstrated a connection between ISC and self-reported attention states at a finer level. We also demonstrated that learning styles did not significantly affect ISC’s prediction rate of attention assessment in video learning, suggesting that ISC of eye movements can be effectively used without considering learners’ learning styles. These findings contribute to the ongoing discourse on optimizing attention assessment in the evolving landscape of online education.