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This convergent mixed method study investigates learner engagement during a blended, transmedia curriculum called CryptoComics, which is designed to teach 3rd-5th graders about cryptology and cybersecurity. Curriculum design is presented through the lens of four engagement facilitators: (1) anchoring the curriculum with a comic book, (2) blending digital and unplugged media, (3) supporting situational interest via a transmedia narrative, and (4) designing for social-cultural relevance. Latent profile analysis is used to develop profiles of learner engagement using quantitative indicators of cognitive and emotional engagement collected across 204 students at 13 implementation sites in the Eastern U.S. Qualitative indicators of engagement include teacher weekly check-ins submitted by 17 teachers working at the 13 implementation sites, student interviews, and classroom observations of 26 students participating in the curriculum at two local sites. Quantitative and qualitative results converge to suggest the majority of the students participating in the curriculum were highly engaged cognitively and emotionally. Qualitative data (1) suggest some third graders may be less cognitively engaged due to challenging content, (2) provide evidence for how the design of the blended, transmedia curriculum supported, and some cases hindered, engagement, (3) highlight the importance of transitions between blended learning components in facilitating engagement, and (4) uncover questions regarding one of the quantitative measures selected as an indicator of cognitive engagement.

During the summer of 2021, we taught a series of lessons on social media literacy during a 6-week summer bridge program designed to prepare students for their first year of community college. Community college students represent nearly 40% of all U.S. undergraduates (AACC, 2022), with nearly 50% of all first-generation college students attending community college (Cataldi et al., 2018). However, community college students are rarely participants in research studies on media or information literacy (Latham et al., 2022), including in this journal. We also specifically focused on social media literacy, a topic not typically addressed in schools (Higdon, 2022), even though young adults are regularly engaging with social media, including as a source for news and information about the world (Anderson & Jiang, 2018; Robb, 2017). This study was designed in part to fill these gaps.

The recent evolution of technology and the Internet has transformed how individuals find and share information. Research shows that citizens of all ages and backgrounds struggle with critical online information evaluation (COIE), which could result in serious societal consequences. Although it is crucial to develop student proficiency within this key information literacy construct beginning in middle school, there is currently no interdisciplinary framework for designing COIE instruction or assessments. To address this gap, we have developed a comprehensive COIE model for curriculum developers, assessment creators, and practitioners to implement at the secondary and post-secondary level. In this paper, we provide cross-disciplinary theoretical context and empirical grounding for our model, offer guidance for its practical application in the 6-16 curriculum, and discuss metacognitive and sociocultural considerations for developing and measuring learners' COIE proficiency.

Purpose: The purpose of this study is to explore the role skepticism plays among adolescents' online information literacy skills. Design/methodology/approach: The authors provide the conceptual grounding to operationalize and measure the notion of skepticism in an online information literacy context. Inspired by an existing measure known as the Skepticism Scale (Hurtt, 2010), the authors made substantial revisions to the scale to target middle school and high school students' skepticism in six distinct, but related factors: questioning mind; search for knowledge; suspension of judgment; self-esteem; interpersonal understanding; and autonomy. The authors provide preliminary evidence of validity and reliability of the revised Skepticism Scale using Exploratory Factor Analysis and performed multiple linear regression using the Skepticism Scale measures to predict an adolescents' online information literacy skills. Findings: The Skepticism Scale was found to produce internally consistent constructs for all six measures. Three of the six measures were related to online information literacy skills, including the search for knowledge, interpersonal understanding and questioning mind. Originality/value: This paper attempts to examine the potentially positive role of skepticism in information literacy skills among adolescents.

K-12 teachers and students are vulnerable to cybersecurity attacks and mostly ill-prepared to deal with them. The COVID-19 pandemic has only increased these risks because of the reliance on digital technology in education and increased free time young children and adolescents spend online. Simultaneously, the U.S. is facing an extreme shortage of cybersecurity professionals. Given the rise of cyberattacks and the need for cybersecurity professionals, a concerted effort to prepare preservice teachers to integrate cybersecurity education across the K-12 curriculum is needed. In our vision for 2025, all preservice teachers across the country are prepared to integrate age-appropriate cybersecurity concepts, skills and career awareness in the curriculum regardless of their content area or grade level specialization. We propose a repository of stand-alone activities and full curricula developed through collaboration among K-12 educators, teacher educators, and cybersecurity experts that could be adopted across teacher education programs. We use the elementary grades as a context for providing examples of some activities that might be included in the repository. We also provide recommendations for developing such a repository and for individual teacher educators who want integrate cybersecurity education in preservice teacher education right now.

The information literacy practices of adolescents on social media outside of school are worth considering, since adolescents use social media near ubiquitously and must grapple with all types of content they encounter incidentally or intentionally. This scoping review followed the PRISMA Extension for Scoping Reviews (PRISMA-ScR) to examine the extent and nature of scholarship on this topic from the perspective of educational technology and literacy scholarship, as both fields are uniquely poised to collaborate on this interdisciplinary topic. Surprisingly, only four articles fit the scope of our review. The literature found, and not found, revealed several themes. These themes were the imprecise use of keywords across scholarship, use of social media for community support, exposure to incidental information, evidence for different literacy practices on social media, and the need for addressing social media information literacy in school. Opportunities for future work and collaborative research between both fields is also discussed.

Many young people learn about scientific topics online, yet middle school students have trouble identifying where scientific information comes from and what characterizes good sources of scientific information online. In this article, we discuss five lessons we embedded into an NGSS-aligned, sixth-grade comprehensive science course to increase students' scientific information literacy. Drawing on SEP-8, 'obtaining, evaluating, and communicating information,' these lessons gave students an opportunity to search for scientific information, critically evaluate the sources of scientific information, and generate science texts using the information they found. We focused on two concepts—scientific consensus and multiple perspectives—to help students recognize who engages in scientific research, how scientific findings are communicated to the general public, and who else may have important perspectives on socio-scientific issues. [ABSTRACT FROM AUTHOR]

Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real‐time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the learning experience to their specific needs. This adaptability is closely intertwined with theories related to learning, engagement, and motivation. The foundation of stealth assessment rests on evidence‐cantered design (ECD), consisting of four core models: the Competency Model (CM), Evidence Model, Task Model, and Assembly Model. Objective: The first step in designing a stealth assessment entails producing operational definitions of the constructs to be assessed. The CM establishes a framework of latent variables representing the target constructs, as well as their interrelations. When developing the CM, assessment designers must produce clear descriptions of the claims associated with the latent variables and their states, as well as sketch out how the competencies can be measured using assessment tasks. As the designers elaborate on the assessment model, the CM definitions need to be revisited to make sure they work with the scope and constraints of the assessment. Although this is the first step, problems at this stage may result in an assessment that does not meet the intended purpose. The objective of this paper is to elucidate the necessary steps for CM development and to highlight potential challenges in the process, along with strategies for addressing them, particularly for designers without much formal assessment experience. Method: This paper is a methodological exposition, showcasing five examples of CM development. Specifically, we conducted a qualitative retrospective analysis of the CM development procedure, wherein participants unfamiliar with ECD applied the framework and showcased their work. In a stealth assessment course, four groups of students (novice stealth assessment designers) engaged in developing stealth assessments for challenging‐to‐measure constructs across four distinct projects. During their CM development process, we observed various activities to pinpoint areas of difficulty. Results: This paper presents five illustrative examples, including one for assessing physics understanding and four for the development of CMs for four complex competencies: (1) systems thinking, (2) online information credibility evaluation, (3) computational thinking, and (4) collaborative creativity. Each example represents a case in CM development, offering valuable insights. Conclusion: The paper concludes by discussing several guidelines derived from the examples discussed. Emphasizing the importance of dedicating ample time to fine‐tune CMs can significantly enhance the accuracy of assessments related to learners' knowledge and skills. It underscores the significance of qualitative phases in crafting comprehensive stealth assessments, such as CMs, alongside the quantitative statistical modeling and technical aspects of these assessments. Lay Description: What is currently known about this topic?: Stealth assessment represents an unobtrusive, automated formative assessment method.This method uses learning analytics within digital learning environments (e.g., games).The main purpose is to assess and foster the competencies of diverse learners. What does this paper add?: This paper serves as a conceptual and methodological guide.This paper focuses on the critical process of competency model development.Competency model development is a crucial step in the creation of stealth assessments. Implications for practice/or policy: Learning scientists and assessment designers can leverage this paper as a resource.Assessment designers can benefit from this paper and see various examples of the process. [ABSTRACT FROM AUTHOR]