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Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they write for, with and against the AI-powered algorithm.

Data collection was drawn from a larger study on #BookTok (the TikTok subcommunity for readers) that included semi-structured interviews including watching and reflecting on a TikTok they created. The authors grounded this study in critical posthumanist literacies to analyze and open code five #BookTok content creators’ interview transcripts. Using axial coding, authors collaboratively determined three overarching and entangled themes: writing for, with and against.

Findings highlight the nuanced ways #BookTokers consider the AI algorithm in their compositional choices, namely, in the ways how they want to disseminate their videos to a larger audience or more niche-focused community. Throughout the interviews, participants revealed how the AI algorithm was situated differently as both audience member, co-author and censor.

This study is grounded in critical posthumanist literacies and explores composition as a joint accomplishment between humans and machines. The authors argued that it is necessary to expand our human-centered notions of what it means to write for an audience, to co-author and to resist censorship or gatekeeping.

This paper aims to trace how Asian American girls engaged with civic learning in a virtual out-of-school literacy community featuring a curriculum of diverse literary texts.

The researcher used practitioner inquiry to construct a virtual literacy education community dedicated to the civic learning of Asian American girls.

The paper explores how participants mobilized critical practices of textual consumption and production rooted in their intersectional identities and embodied experiences to make meaning of the civic constraints and affordances of marginalized identities and to read and (re)design author choices for civic purposes. These findings – examples of youths’ critical civic meaning-making – indicate how they claimed space for Asian American civic girlhoods in literacy education.

This paper foregrounds how Asian American girls mobilize critical processes of text consumption and production to assert civic identities in literacy education – a significantly under-examined topic in literacy studies. This work has implications for how literacy practitioners and scholars can prioritize Asian American civic girlhoods through pedagogy and research.

Social media offers youth a virtual platform to build community and amplify underrepresented voices. Online spaces are often used to respond to societal issues and adopt various roles. This article aims to focus on Laura's case, spotlighting the intersection of online activism by a youth of Color, and social media literacies used to demonstrate civic engagement around contemporary social justice issues.

Through case study methods, the author examined how a youth of Color used social media to employ critical literacy practices as tools for civic engagement, advocating for social justice, and navigating the complexities of identity work in online spaces, spotlighting Laura, a self-identified Mexican and Ecuadorian Latine 18-year-old activist, to understand how social media shapes multimodal literacy practices, how youth build culture, engage in literacies and craft civic identities online.

Findings examine Laura’s social media literacies toward social justice activism, contributing to the understanding of youth activism, digital identity and civic engagement. Findings will also examine how Laura enacts online literacy practices related to her racialized identities, and how she engages in activism and civic participation related to social justice issues. These findings contribute to the understanding of youth activism, digital identity and civic engagement.

This paper focuses on Laura’s practices within the larger frame of politics, digital space and youth culture. Moreover, it also highlights the potential of youths' multifaceted social media literacies to redefine the educator's role by fostering youth identity and social justice literacies.

The purpose of this article is for three teacher educators to reflect on their use of mapping and mapping-adjacent activities in university courses vis-à-vis the development of their own critical praxis toward spatial justice. The authors focus on how the centering of geospatial literacies through spatial justice issues impacts the development of criticality for preservice teachers and their teacher educators.

The paper opted for collaborative reflections about our teacher educator praxis through self-study and critical friends. Three teacher educators wrote vignettes about their experiences with place-based mapping approaches in teacher education coursework.

The paper suggests that mapping activities (broadly defined) create space(s) for courageous conversations on difficult topics (e.g. race and social-economic status). These spaces are not only between teacher and student but also can be extended to teacher educators by focusing on critical and collaborative self-study.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to use critical and collaborative reflection to inform their own praxis.

The paper shares pedagogical approaches and reflections for highlighting geospatial literacies and critical place consciousness within teacher education.

This has significance as there is a relative dearth of literature detailing how critical teacher educators can learn with and from each other when working to focus place-based learning in the context of teacher preparation.

This study aims to explore motives behind teachers' and students' use of translanguaging and how they use it in Tanzanian public secondary school classrooms.

Data were collected using interviews and non-participant observations.

The findings indicate that translanguaging was used to facilitate content comprehension, promote classroom interaction and increase students' motivation to learn. Translanguaging was implemented using three strategies: paraphrasing an English text into Kiswahili, translating an English text into its Kiswahili equivalent and word-level translanguaging.

By highlighting the motivations for translanguaging and corresponding strategies associated with translanguaging pedagogy in the Tanzanian context, this study has significant practical implications for teachers and students to showcase their linguistic and multimodal knowledge, while fostering a safe learning space that relates to students' daily experiences.

The study offers new insights into previous research on the role of language-supportive pedagogy appropriate for teachers and students working within bi-/multilingual education settings.

This study explores the relevance of film texts in Indian social studies classrooms for students at the upper primary level. It examines how different types of visual texts can facilitate awareness, critical thinking, discussion and action.

Using multimodal discourse analysis (MDA), this paper critically evaluates five selective films from regional cinemas in India and explores their teaching implications for social studies. The study argues that films are vital multimodal resources that can challenge the prevailing narratives in social studies pedagogy. It conveys how the suggestive revised taxonomy could benefit the students. It proposes a classification system for film analysis with discussion and states how films can bring out interrelated themes and encourage deeper, critical inquiry within the curriculum. The study finds discourse around the films and qualitatively stresses dialogue exchange with sentiment analysis using MAXQDA software. Developed by VERBI software, MAXQDA is a product whose name is inspired by the German Sociologist Max Weber, while the ‘QDA' stands for Qualitative Data Analysis.

The films act as multimodal texts, navigators, metaphors, communicative circuits and catalysts. The paper concludes that films can improve and expand multimodal learning of social studies in three ways: films help learners connect emotionally with the concepts, films make the learning process more appealing and extend it beyond classroom boundaries and films offer a unique insight into the socio-cultural subtleties that are often limited in textbooks.

This research pioneers an intersectionality-driven framework for film analysis in the curriculum for Indian upper primary social studies, offering innovative pedagogical tools to enrich Indian curriculum insights and bridge existing knowledge gaps.

The purpose of this paper is to study the importance of image data in hotel selection-recommendation using different types of cognitive features and to explore whether there are reinforcing effects among these cognitive features.

This study represents user-generated images “cognitive” in a knowledge graph through multidimensional (shallow, middle and deep) analysis. This approach highlights the clustering of hotel destination imagery.

This study develops a novel hotel selection-recommendation model based on image sentiment and attribute representation within the construction of a knowledge graph. Furthermore, the experimental results show an enhanced effect between different types of cognitive features and hotel selection-recommendation.

This study enhances hotel recommendation accuracy and user satisfaction by incorporating cognitive and emotional image attributes into knowledge graphs using advanced machine learning and computer vision techniques.

This study advances the understanding of user-generated images’ impact on hotel selection, helping users make better decisions and enabling marketers to understand users’ preferences and trends.

This research is one of the first to propose a new method for exploring the cognitive dimensions of hotel image data. Furthermore, multi-dimensional cognitive features can effectively enhance the selection-recommendation process, and the authors have proposed a novel hotel selection-recommendation model.

Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as apparatuses for well-annotated and object-based collections. Hence, there is a pressing need for empowering the representation of intangible expressions, particularly embodied knowledge within its cultural context. To address this issue, the authors propose to inspect the potential of machine learning methods to enhance archival knowledge interaction with intangible cultural heritage (ICH) materials.

This research adopts a novel approach by combining movement computing with knowledge-specific modelling to support retrieving through embodied cues, which is applied to a multimodal archive documenting the cultural heritage (CH) of Southern Chinese martial arts.

Through experimenting with a retrieval engine implemented using the Hong Kong Martial Arts Living Archive (HKMALA) datasets, this work validated the effectiveness of the developed approach in multimodal content retrieval and highlighted the potential for the multimodal's application in facilitating archival exploration and knowledge discoverability.

This work takes a knowledge-specific approach to invent an intelligent encoding approach through a deep-learning workflow. This article underlines that the convergence of algorithmic reckoning and content-centred design holds promise for transforming the paradigm of archival interaction, thereby augmenting knowledge transmission via more accessible CH materials.

This systematic literature review paper critically examines the effectiveness of screencast feedback compared with text feedback in promoting student learning outcomes in online higher education. This paper aims to contribute to the ongoing discussion surrounding feedback modalities and their impact on online learning environments.

This paper adopts a systematic review approach to synthesise and analyse existing studies investigating the use of screencast feedback in online higher education settings. A comprehensive search and selection process was employed to identify relevant literature. The selected studies were then analysed for their methodologies, findings and implications. This paper seeks to provide an overview of the current state of research, highlighting the benefits, challenges and potential impacts of screencast feedback on student learning outcomes.

The findings of this paper suggest that while there is a positive perception of screencast feedback among students and instructors, drawing definitive conclusions about its superiority over text feedback remains at the very beginning. Students generally appreciate the personalised, supportive and engaging nature of screencast feedback, particularly within the online learning context. However, challenges such as technical barriers and potential workload implications for instructors are also noted. Further empirical research is needed to comprehensively evaluate the comparative efficacy of screencast feedback, considering factors like online engagement, digital literacy and the impact on diverse student populations.

This review underscores the acute necessity for expansive and meticulously designed studies that can provide conclusive insights into the authentic potential of screencast feedback and its resonance within the unique landscape of online learning. Through rigorous inquiry, educators can discern the optimal strategies for harnessing the advantages of screencast feedback to enhance student learning outcomes, aligning harmoniously with the dynamics of virtual classrooms.

Screencast feedback emerges as a promising avenue to foster meaningful connections between instructors and learners. The review highlights that screencast feedback engenders a more dialogic interaction between lecturers and students, resulting in personalised, supportive and engaging feedback experiences.

The systematic review conducted underscores the positive reception of screencast feedback from both students and lecturers in this context. The findings are consistent with the principles of social constructivist theory, suggesting that the interactive and personalised nature of screencast feedback facilitates a richer educational experience for students, even within the confines of virtual classrooms (Vygotsky, 1978).

This innovative blend of methodologies contributes new insights that can inform educational practices and pedagogical strategies in online learning environments.

The composition of author teams is a significant factor affecting the novelty of academic papers. Existing research lacks studies focusing on institutional types and measures of novelty remained at a general level, making it difficult to analyse the types of novelty in papers and to provide a detailed explanation of novelty. This study aims to take the field of natural language processing (NLP) as an example to analyse the relationship between team institutional composition and the fine-grained novelty of academic papers.

Firstly, author teams are categorized into three types: academic institutions, industrial institutions and mixed academic and industrial institutions. Next, the authors extract four types of entities from the full paper: methods, data sets, tools and metric. The novelty of papers is evaluated using entity combination measurement methods. Additionally, pairwise combinations of different types of fine-grained entities are analysed to assess their contributions to novel papers.

The results of the study found that in the field of NLP, for industrial institutions, collaboration with academic institutions has a higher probability of producing novel papers. From the contribution rate of different types of fine-grained knowledge entities, the mixed academic and industrial institutions pay more attention to the novelty of the combination of method indicators, and the industrial institutions pay more attention to the novelty of the combination of method tools.

This paper explores the relationship between the team institutional composition and the novelty of academic papers and reveals the importance of cooperation between industry and academia through fine-grained novelty measurement, which provides key guidance for improving the quality of papers and promoting industry–university–research cooperation.