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This study investigates the following research question: What pedagogical strategies are necessary for the success of HyFlex course design? The findings to this question are based in new media literacies and help to further pedagogy in an emerging HyFlex model while also grounding in needed theorization.

This study uses design-based research (DBR) across two iterations and four doctoral, higher education courses, using mixed methods of data collection and analysis.

Six pedagogical strategies influential for HyFlex research are presented, each grounded in a new media literacy skill.

These six pedagogical strategies help practitioners grappling with the HyFlex or blended learning model merge traditional pedagogy with how this might be tailored for students entrenched in a participatory culture.

This study reports on changes made within the study, plan, teach and reflect steps of lesson study with pre-service teachers who were learning to teach within a disciplinary literacy course.

Using methods associated with formative experiments and design-based research, this study gathered data over four iterations of the disciplinary literacy course. Data included the course materials, pre-service teachers’ written work, observational notes from research lessons, transcripts of post-lesson discussions and teacher-educators’ analysis sessions and pre-service teachers’ post-program interviews. Data were analyzed within and across iterations.

Initial adjustments to the lesson study process focused on the reflect step, as we learned to better scaffold pre-service teachers sharing of observational data from research lessons. Later adjustments occurred in the study and plan steps, as we refined the design of four-day lesson sequences that better supported pre-service teachers’ attention to disciplinary literacy while providing room for their instructional mentors to provide specific team-based feedback. Adjustments to the teach step included reteaching and more explicit attention to literacy objectives.

This paper contributes to the literature by explicitly applying formative experiment and design-based research methods to the implementation of lesson study with pre-service teachers. Furthermore, it contributes examples of lesson study within a disciplinary literacy context, expanding the examples of lesson study’s applicability across content areas.

The purpose of this paper is to highlight the role an intentional and cohesive research group for doctoral researchers and supervisors can play in surfacing and de-mystifying many of the implicit doctoral literacy practices involved in doctoral study.

This participatory, collaborative project, involving 11 doctoral researchers and three supervisors, was conducted in two stages. In the first stage, doctoral researchers and supervisors engaged in a discussion which resulted in a shared concept map. The concept map was then used as a prompt for stimulated recall interviews in which the participants reflected on the connections and peer learning afforded by the research group.

Drawing on ideas from Communities of Practice theory, the data revealed that the research group, including both supervisors and doctoral students, developed knowledge, relational connections and an awareness of a range of doctoral literacies.

This paper makes suggestions for how those in doctoral education can develop and embed research groups into institutional practices.

This study demonstrates the significant role a research group which is structured, intentional and guided plays in supervisors’ and doctoral students’ development of doctoral literacies and the fundamental intellectual and relational connections afforded by participating in such communities.

This paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies.

This contribution draws on a 10-year set of critical pedagogy experiments conducted in Denmark, USA and Italy, and engaging more than 1,500 young adults. Multi-method pedagogical design trains students to conduct self-oriented guided autoethnography, situational analysis, allegorical mapping, and critical infrastructure analysis.

The techniques of guided autoethnography for facilitating sustained data literacy rely on inviting multiple iterations of self-analysis through sequential prompts, whereby students move through stages of observation, critical thinking, critical theory-informed critique around the lived experience of hegemonic data and artificial intelligence (AI) infrastructures.

Critical digital/data literacy researchers should continue to test models for building sustained critique that not only facilitate changes in behavior over time but also facilitate citizen social science, whereby participants use these autoethnographic techniques with friends and families to build locally relevant critique of the hegemonic power of data/AI infrastructures.

The proposed literacy model adopts a critical theory stance and shows the value of using multiple modes of intervention at micro and macro levels to prompt self-analysis and meta-level reflexivity for learners. This framework places critical theory at the center of the pedagogy to spark more radical stances, which is contended to be an essential step in moving students from attitudinal change to behavioral change.

The proliferation of ChatGPT, as in many other digital technologies and social media, has increasingly impacted many aspects of modern life, including second and foreign language education. This study, building on a common theoretical position of all these advances in Artificial intelligence (AI), seeks to establish a model for ChatGPT research on English language learning. It specifically explores the dimensions in which ChatGPT aids students in their English language learning.

The study adopts grounded theory in collecting and analyzing data from 20 ResearchGater (RG) through a two-week RG discussion about ChatGPT uses in their language learning contexts. Data collected via the discussion was analyzed thematically.

Preliminary findings show that ChatGPT can be used in developing learners' language skills; scaffolding the learning process by providing feedback to students on their language use and acting as partners in practicing language with recommended activities for more language practice.

The study contributes a five-dimension model for artificial intelligence assisted language learning (AIALL). The model involves flexible teacher's role to consolidate learner autonomy and provide enjoyable learning, urges future innovation, and celebrates various applications. Examining the AIALL model of ChatGPT for language learning, teachers should provide some directions for properly using this new application.

This study evaluated the impact of a faculty training program on student assessment using the Kirkpatrick model.

A self-reported survey assessed 111 Saudi and non-Saudi participants' satisfaction. Subjective and objective measures (self-reported measures, assessment literacy inventory and performance-based assessment tasks) gauged participants' learning level. Pre- and post-training data were collected from 2020 to 2022.

A highly significant effect on satisfaction (>80%) and learning levels was observed, as manifested by workplace practices of student assessment (>70%, the cut-off score). Pre- and post-training comparisons of participants' satisfaction and assessment literacy scores showed significant improvements following training. Multiple regression analyses showed no significant effects for gender and educational attainment but a substantial impact of academic cluster on participants' student assessment skills.

Long-term effects of training faculty on assessment practices and student achievement will be studied at the institutional level in future research.

The current study contributes to human capital investment via faculty training on student assessment, helping them comply with assessment best practices. This assures the quality, fairness and consistency of assessment processes across disciplines in higher education institutions, enhances assessment validity and trust in educational services and may support institutional accreditation.

This study provides opportunities for sharing best practices and helps establish a community of practice. It enhances learning outcomes achievement and empowers higher education graduates with attributes necessary to succeed in the labor market. The human capital investment may have a long-term impact on overall higher education quality.

This study contributes to the scarce literature investigating the impact of training faculty from different clusters on student assessment using subjective and objective measures. It provides developing and evaluating a long-term student assessment program following the Kirkpatrick model.

This article aims to examine the manifestation of coloniality within social studies curricula and explore strategies for rejecting colonial paradigms through teaching praxis. The author presents a curriculum that unveils the narratives of Linnentown, a local Black community, to examine the impacts of colonial legacies on people's everyday lives.

Using the teaching and learning cycle framework, the author demonstrates the integration of sequenced embodied and multimodal activities. Furthermore, the author utilizes the concept of critical place-based education (CPBE) to demonstrate how critical pedagogies within the context of place can cultivate transformative learning experiences.

By guiding students to critically analyze the sociopolitical conditions of Linnentown residents, CPBE, paired with multimodal activities, helps challenge dominant narratives and empowers students to become agents of change in their local communities.

This curriculum fosters a nuanced understanding of structural oppression, empowers students to develop critical awareness and social agency and guides youth in confronting settler colonialism within and beyond their communities.

Food literacy is a multidimensional concept that prioritises the aspects individuals require to navigate the contemporary foodscape successfully. The study aims to map the knowledge base and intellectual structure of the concept of food literacy to assess if the most cited definitions reflect these constructs.

The inclusion criteria of full-text, peer-reviewed articles or conference papers, in English, using “food literacy” within the title, abstract, keywords or linked to the research focus produced 538 articles from the Scopus database from its inception until January 31, 2023. Articles were analysed according to exponential growth, geolocations, authors, articles, research areas and keywords using VOSviewer, CiteSpace and Excel.

Food literacy research grew exponentially between 2012 and 2022 at a rate of 50% and spanned 62 research areas, with nutrition and dietetics being the most common. Vidgen and Gallegos were the most cited authors of the most cited article, and Australia was the most influential food literacy research geolocation. Research originating from developing countries within Asia, the Middle East, Africa and South America was underrepresented, and COVID-19 impacted research trends between 2020 and 2023.

It is recommended to link “food literacy” to appropriate publications to increase its visibility and that food literacy be redefined and conceptualised to better reflect its intellectual structure. To complete this task, further research guided by keyword clustering can enhance conceptual understanding.

This study provides new insight into the knowledge base and intellectual structure of food literacy and provides scope for future research to develop the concept further.

There is an urgent need for teacher preparation programs to equip teachers to teach in innovative and transformative ways, meeting the needs of diverse learners. Coaching is an instrumental tool for supporting change and development, especially in contexts with decentralized teacher preparation guidelines.

This multicase study examines cross-institutional programmatic innovations for coaching teacher candidates (TCs) and centering equity using improvement science and equity coaching. The authors explore the networked improvement community’s (NIC’s) examination of problems of practice through plan–do–study–act cycles in three coaching contexts within and across seven institutions.

Qualitative methods revealed that adapting coaching protocols can center equity and build equity-focused practices. This work highlights revisions to coaching within and across teacher preparation programs (TPPs), which the authors hope inspires extending equity-centered coaching and improvement science to new contexts. This cross-case analysis revealed program innovations for coaches, digital technologies and alignment.

This study addresses ongoing challenges faced by TPPs in the United States, including TCs' understandings of equity in teaching and decentralized teacher preparation that results in varied and incongruent understandings about quality teaching. This study builds on previous scholarship that examines shifts in coaching practices by disrupting silos in TPPs as examined innovations.

The paper offers a unique view of cross-institutional collaboration in coaching to improve transformative teaching experiences in teacher preparation field experiences.

With increased focus on data literacy and data science education in K-12, little is known about what makes a data set preferable for use by classroom teachers. Given that educational designers often privilege authenticity, the purpose of this study is to examine how teachers use features of data sets to determine their suitability for authentic data science learning experiences with their students.

Interviews with 12 practicing high school mathematics and statistics teachers were conducted and video-recorded. Teachers were given two different data sets about the same context and asked to explain which one would be better suited for an authentic data science experience. Following knowledge analysis methods, the teachers’ responses were coded and iteratively reviewed to find themes that appeared across multiple teachers related to their aesthetic judgments.

Three aspects of authenticity for data sets for this task were identified. These include thinking of authentic data sets as being “messy,” as requiring more work for the student or analyst to pore through than other data sets and as involving computation.

Analysis of teachers’ aesthetics of data sets is a new direction for work on data literacy and data science education. The findings invite the field to think critically about how to help teachers develop new aesthetics and to provide data sets in curriculum materials that are suited for classroom use.