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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.

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.

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.

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.

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.

Self-regulation is the level of learning where the learner becomes an active agent in their learning process in terms of activity and aspects of motivation and metacognition. The current paper mostly deals with the metacognitive aspect. The purpose of this study is to gain insight into self-regulation of learning in the context of modern technology in higher education. This study also aims to highlight the direction, tendencies and trends toward which self-regulation of learning is moving in relation to modern technologies.

The review study was compiled via searches in three databases: Scopus, Web of Science and ERIC. A filter was used to search for empirical studies solely in English, published over the past decade on the topics of self-regulation of learning and technology in higher education.

The findings clearly show a correlation between self-regulation of learning and modern technology, especially after a significant event such as the Covid-19 pandemic. However, in the wake of this change, the field of education has seen the emergence of methods and new platforms that can provide support for the development of self-regulated learning strategies.

The originality of the study lies in the fact that it focuses on the link between self-regulation of learning and modern technologies in higher education, including some predictions of the future direction of self-regulation of learning in this context.

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

This paper explores a five-year case example of two educators engaged in practice-based professional development (PBPD) for the Self-Regulated Strategy Development (SRSD) model in a middle school. It examines the transformative effects and challenges of improving writing instruction, the activities involved and alternative PBPD delivery methods. Highlighting a collaborative effort between an institute of higher education (IHE), a middle school and ThinkSRSD, a PBPD for SRSD developer, the example underscores the long-term benefits and innovative insights into engaging with PBPD for SRSD over multiple years.

The case involves analyzing survey data collected over five years. These surveys, which included specific SRSD-related queries and open-ended questions, were instrumental in assessing the evolution of the educators’ perceptions regarding SRSD and their engagement with PBPD. Additionally, the paper details PBPD activities as documented in a research journal, providing a comprehensive account of the developmental process.

Through a cross-institutional partnership, two middle school general educators participated in PBPD for SRSD for 30 h across five years. Their engagement with PBPD progressed from initial introduction and implementation to facilitating PBPD for SRSD among peers and at the national level. Over time, the most consistently enacted SRSD action was “memorize it,” while actions such as “discuss it,” “support it” and “independent performance” showed greater variability. Both educators consistently praised SRSD and sought continued PBPD engagement over the five years.

Our case example is the first five-year analysis of PBPD for SRSD among general middle school educators, highlighting the benefits and challenges of adopting evidence-based writing instruction. Our example emphasizes the need for continuous and focused professional development in areas crucial for student success, including self-regulation, prewriting strategies and techniques for fostering independent performance. Moreover, the two middle school educators’ critical feedback is invaluable for refining PBPD for SRSD. This work also enriches professional development schools (PDS) literature by offering effective strategies to support middle school teachers in developing a vibrant writing community, a cornerstone for student advancement in writing.

Multimodal writing portfolios were introduced and integrated into an undergraduate course and a graduate course in a research-oriented university in northwest Taiwan. This study aims to examine the influence of multimodal writing portfolios of novice researchers' academic writing.

Comparative case studies involve collecting data from several cases and analyzing the similarities, differences and patterns across cases (Merriam, 2009). To address this underdeveloped area of research, a comparative case study method was employed to understand undergraduate and graduate students' multimodal writing portfolios in academic writing in two courses in Taiwan.

First, multimodal writing portfolios enabled novice researchers to be more familiar with the structure of academic paper and they had better performance in intrapersonal and linguistic aspects. Second, novice researchers held positive attitude toward multimodal writing portfolios because they regarded process of making multimodal writing portfolios as preparation for their future academic writing. Finally, participants highly valued the class PowerPoint slides, weekly writing tasks and the instructor's modeling as effective facilitation for making multimodal writing portfolios.

Limited studies focus on multimodal writing portfolios (e.g. Silver, 2019). The present case study explores the integration of a multimodal writing portfolio into one undergraduate and one graduate course to explore learners' attitude and performance in academic writing.

Novice researchers can learn to compose multimodal academic texts for the academic writing community.

Suggestions on effective integration of multimodal writing portfolios into academic writing instruction were provided based on the research findings.

The findings of the study provide the field of L2 writing with insights into the pedagogical development of multilingual writing portfolios and help educators to be better prepared for teaching novice researchers to comprehend and compose multimodal texts and enter the academic writing community. The framework in Figure 1 and suggestions on course designs for academic writing can inform educators on the integration of multimodality in academic discourse. Moreover, this study moves beyond general writing courses at the tertiary level and could contribute to L2 writers' deeper understanding of how multimodal writing portfolios can be constructed.

This paper develops a typology of argumentation strategies used in lobbying. Unlike in other strategic communication functions such as crisis or risk communication, such typologies have not been proposed in the sub-field of public affairs.

The article synthesises the strategic communication, political communication and policy studies literature and employs exchange theory to explain the communicative-strategic exchange in public affairs. It showcases its explanatory potential with illustrative examples from Big Tech lobbying.

The paper describes that categories of argumentation strategies that a public affairs professional will choose are based on the contingency of the issue, policy objective and lobbying objective. The descriptive typology will require empirical testing to develop further.

The paper describes how public affairs professionals influence public policy through their argumentation strategies, which sheds light on the usually opaque activities of lobbying.

The proposed typology is the first of its kind for the field of public affairs. Beyond, it contributes communication-scientific insights from a rhetorical tradition to strategic communication research and other social science fields where lobbying is studied, e.g. policy studies.

The study investigated the feedback seeking abilities of learners in L2 writing classrooms using ChatGPT as an automated written corrective feedback (AWCF) provider. Specifically, the research embarked on the exploration of L2 writers’ feedback seeking abilities in interacting with ChatGPT for feedback and their perceptions thereof in the new learning environment.

Three EFL learners of distinct language proficiencies and technological competences were recruited to participate in the mixed method multiple case study. The researcher used observation and in-depth interview to collect the ChatGPT prompts written by the participants and their reflections of feedback seeking in the project.

The study revealed that: (1) students with different academic profiles display varied abilities to utilize the feedback seeking strategies; (2) the significance of feedback seeking agency was agreed upon and (3) the promoting factors for the development of students’ feedback seeking abilities are the proactivity of involvement and the command of metacognitive regulatory skills.

Additionally, a conceptual model of feedback seeking in an AI-mediated learning environment was postulated. The research has its conceptual and practical implications for researchers and educators expecting to incorporate ChatGPT in teaching and learning. The research unveiled the significance and potential of using state-of-the-art technologies in education. However, since we are still in an early phase applying such tools in authentic pedagogical environments, many instructional redevelopment and rearrangement should be considered and implemented.

The work is a pioneering effort to explore learners' feedback seeking abilities in a ChatGPT-enhanced learning environment. It pointed out new directions for process-, and student-oriented research in the era of changes.

In the context of the digital age, this study aims to investigate the impact of citizens' digital participation on the scientific and democratic decision-making processes of the government. Specifically, the authors focus on the factors influencing citizens' digital participation, with a particular emphasis on their digital skills.

Exploring the influence of citizens' digital skills on their digital participation is of great practical significance for eliminating the digital divide and for promoting a life characterized by enriched digital interactions with the public. This study selected the social consciousness survey database of Chinese netizens in 2017, used ordered Probit and OLS models, and comprehensively used the instrumental variable method (IV), causal stepwise regression method and bootstrap method to empirically verify and construct a mechanism model of the influence of digital skills on citizens' digital participation.

The empirical findings indicate a noteworthy positive association between citizens' proficiency in digital skills and their active engagement in digital activities. This relationship is positively mediated by factors such as political interest and attention to social issues, underscoring their role in encouraging greater digital participation. Conversely, national identity exhibits a counteractive influence on this mechanism, potentially discouraging digital engagement. Notably, the impact of digital skill mastery on digital participation is more pronounced among non-elderly individuals and those residing in metropolitan areas, highlighting the significance of demographic characteristics in this context.

These research results can help the government and other organizations make better decisions and facilitate improvement of citizens' digital participation by promoting their mastery of digital skills.

This paper explores the challenging nexus of police custody, risk and intra-organisational boundaries in the context of a recently reformed national police service. Police custody is an often-hidden aspect of policing, away from the public gaze and scrutiny. Although there is increasing recognition of the importance of rural policing (e.g. Harkness (2020); Mawby and Yarwood (2011); Ruddell and Jones (2020); Yarwood and Wooff (2016)), there has been little or no focus on rural police custody. This paper seeks to begin to redress this by focussing on the challenges faced by rural police custody in the context of large-scale organisational change.

This paper draws on data from a study funded by the Scottish Institute for Policing Research (2016–2018), entitled “Measuring Risk and Efficiency in Police Custody in Scotland”. The paper adopts a qualitative methodology to develop an understanding of the varying nature of police custody across Scotland. Two contrasting case study locations were selected, one urban and one rural. 12 semi-structured interviews and 15 hours of observation were carried out. Data was transcribed, coded and analysed and thematic analysis enabled themes to be developed. This paper draws on the data from the rural custody suite.

Drawing on the theoretical framework of Giacomantonio (2014) and more recent considerations of abstract policing Terpstra et al. (2019), this paper offers insights into the ways that police custody in rural Scotland has been organised, against the backdrop of challenging organisational change. I argue that as policing services in Scotland have become increasingly “abstract” from communities, police custody as a national division has witnessed the impact of this more greatly than other parts of local policing. Intra-organisational management around staffing has led to complex management of risk, illustrating some of the challenges of national organisational change on police custody.

This paper focuses on the impact of large scale organisational change on rural police custody and intra-organisational relationships and dynamics. Rural policing is still a largely neglected area of study and rural police custody is even less understood. This paper therefore provides an original contribution by focusing on this under-researched area of policing. It also illustrates complexity around risk, staffing and management of people being held in rural police custody suites. It is therefore of value to policing scholars in other contexts, as well as rural criminology more generally. It has applicability to international contexts where macro level policing reform is occurring.

The purpose of this paper is to explore and evaluate the current legal position on the admissibility and exclusion of illegally obtained evidence in money laundering cases.

A thorough exploratory analytical analysis signifies that such illegally obtained evidence from money laundering offences is admissible, provided it does not undermine the administration of justice or the right to a fair trial.

By virtue of the lack of written or codified rules governing the admissibility and exclusion of illegally obtained evidence in cases involving money laundering, the rule of admissibility remains the primary foundational principle for the governance of the admissibility and exclusion of illegally obtained evidence in money laundering cases.

The Malaysian Criminal Justice System has historically relied on the long-standing admissibility principles to admit and exclude illegally obtained evidence. For decades, courts have used their discretion to admit illegally obtained evidence based on the relevancy test, and they have further demonstrated to use the same discretion to exclude gravely prejudicial evidence. Evidence obtained illegally but if relevant to the matter in issue is deemed admissible. Evidence derived from an act associated with unlawful activities or a predicate offence in money laundering may be obtained illegally, which may influence the prosecution case and conversely, defend the accused’s rights to a fair trial.