Learning scientists have historically been interested in understanding how learning happens and in creating innovations to facilitate learning in real-world situations. Recently, the field has recognized that advancing standalone innovations is not enough to address systemic problems in education; instead, the focus must be broadened to sustain…

"Learning engineering" has gained popularity as a term connected to the work of learning sciences. However, the nature of that connection is not entirely clear. For some, learning engineering represents distinct, industry-inspired practices enabled by data abundance and digital platformization of learning technologies. That view is…

Background: Community-based monitoring provides a forum for diverse stakeholders to co-construct knowledge relevant to building social-ecological resilience. However, power asymmetries between these actors can privilege the perspectives of dominant groups, while preventing non-dominant perspectives from informing conservation science. Methods:…

Background: Today's complex information environment requires effective navigation and analysis of multiple sources to make reliable decisions about complex topics. Learners must enact thinking that reliably leads to well-justified decisions, adapt thinking to specific problems and contexts, and recognize the limits of their existing knowledge…

Background: Fiber crafts occupy a vital position in technology innovation and present a promising space for computer science education, which continues to face lopsided participation. It remains unclear whether and how fiber crafts can become a context for computational learning and what role different materials play with the risk to miss…

Background: To support collaborative drawing, it is essential to investigate how students make collaborative drawings and how these contribute to elaborating their ideas. This study examines how 5th and 6th grade students' group drawings contributed to increased levels of explanations of their drawings about sound transmission. Methods: We…

Background: Dealing with uncertainties is inherent in the engineering design process and often poses challenges for young learners. This necessitates providing learners with adequate support to navigate their uncertainties effectively. However, achieving this requires a deeper understanding of the factors influencing learners' uncertainty…

Background: This paper examines ensemble learning in the context of ballet. We use more-than-representational theory to account for the "invisible" dimensions of ensemble learning, such as sensations, energy, or intensity that bodies sense, circulate, and evoke in others. We illuminate the mobile architectures that emerge in ensemble…

Empirical evidence demonstrates the effect of productive failure (Kapur, 2008) on disciplinary knowledge. However, there is no clear theoretical explanation for why this is the case. Empirical evidence on argumentation and education shows the impact of curricular embedded deliberative argumentation on learning. However, these two trends of…

Background: This paper explores K-12 interdisciplinary learning in the humanities (IL-Humanities), an area that, until now, has seen limited research focus compared to its STEM counterparts. We asked: (1) What are the outcomes of IL-Humanities in terms of interdisciplinary competences? (2) How do learners in these environments engage in…

When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…

An ecological framework is often used to describe the context for learning in educational research and practice. However, there is often a focus on descriptive aspects that frame the ecosystem as a complicated set of interconnected elements--but not a true complex problem. Acknowledging connections between ecosystem elements is not enough to…

Much of the work in the Learning Sciences and Computer-Supported Collaborated Learning communities have focused on understanding and designing for learning in collaborative spaces. This work utilizes methods such as Interaction Analysis and has attended to multiple dimensions and timescales of learning. It has redefined ideas about knowledge and…

Background: Problem-solving followed by instruction (PS-I) is a powerful design shown to transform students' conceptual understanding and transfer. Within PS-I, no research has examined how moment-by-moment determinants of affective states impact the problem-solving phase and posttest performance. Methods: I develop a multimodal learning analytics…

Background: Learning sciences researchers, including those in the sociocultural tradition, often address emotion on motivation's terms, as a condition or quality of being that propels or mediates learning activity. Other times, emotion remains implicit in analyses of learning. Methods: Toward a more robust theorization of the relationship between…