Search for: All records

Teachers often find it challenging to learn computational thinking (CT) and integrate it with classroom learning. In this systematic review, we focus on how professional learning experiences have supported K-12 teachers to integrate CT into their classrooms. The findings suggest some effective strategies for building professional learning experiences but highlight the need for more agreement about the nature of CT. 

Computational thinking (CT) is ubiquitous in modern science, yet rarely integrated at the elementary school level. Moreover, access to computer science education at the PK-12 level is inequitably distributed. We believe that access to CT must be available earlier and implemented with the support of an equitable pedagogical framework. Our poster will describe our Accessible Computational Thinking (ACT) research project exploring professional development with elementary teachers on integrating computational thinking with Culturally Responsive Teaching practices. 

Socio-ecological histories of places are political, contested, and intimately linked with ways of knowing and being in the world. Supporting students in perspective taking and reasoning through contested histories of places are equity practices that allow for multiple and diverse stories to be told, honored, and incorporated in science learning. In this paper, we describe an approach to teaching about socio ecological systems from the Learning in Places project using a framework called Socioecological Histories of Places. We first describe the framework and its design within the Learning in Places project. We then analyze one teacher’s implementation of this approach and discuss implications for understanding issues of power, historicity, and ethical decision-making in field-based science learning and teaching. 

Learners’ choices as to whether and how to use visual representations during learning are an important yet understudied aspect of self-regulated learning. To gain insight, we developed a choice-based intelligent tutor in which students can choose whether and when to use diagrams to aid their problem solving in algebra. In an exploratory classroom study with 26 students, we investigated how learners choose diagrams and how their choice behaviors relate to learning outcomes. Students who proactively chose to use diagrams achieved higher learning outcomes than those who reactively used diagrams when they made incorrect attempts. This study contributes to understanding of self-regulated use of visual representations during problem solving. 

Computational thinking (CT) is ubiquitous in modern science, yet rarely integrated at the elementary school level. Moreover, access to computer science education at the PK-12 level is inequitably distributed. We believe that access to CT must be available earlier and implemented with the support of an equitable pedagogical framework. Our poster will describe our Accessible Computational Thinking (ACT) research project exploring professional development with elementary teachers on integrating computational thinking with Culturally Responsive Teaching practices. 

From a design-based research study investigating rural families’ science learning with mobile devices, we share findings related to the intergenerational exploration of geological time concepts at a children’s garden at a university arboretum. The team developed a mobile augmented reality app, Time Explorers, focused on how millions of years of rock-water interactions shaped Appalachia. Data are recorded videos of app usage and interviews from 17 families (51 people); videos were transcribed, coded, and developed into qualitative case studies. We present results related to design elements that supported sensory engagement (e.g., observation, touch) through AR visualizations related to geological history. This analysis contributes to the literature on informal learning environments, theory related to learning-on- the-move, and the role of sensory engagement with AR experiences in outdoor learning. 

Higher education institutions around the globe have increasingly made the commitment to diversity. Instructors play an integral role in creating inclusive learning environments. Guided by sociopolitical perspectives on learning, we ask: How do higher education instructors conceptualize diversity? How do these conceptions inform curriculum and instruction? Interview data from 30 instructors teaching at minority-serving institutions in the United States revealed three distinct conceptions of diversity defined by variations in five aspects: student identities, intelligence mindset, pedagogical motivation, learning environment, and legitimized membership. The essentialist conception is based on students having inherently determinate traits described by preexisting universal categories. The functionalist conception differentiates students by academic performance. The existentialist conception acknowledges that students have unique experiences that impact the learning process. Our results indicate that while instructors acknowledge different student features and have varying understanding for why diversity is important, some conceptions of diversity do not necessarily suggest an inclusive culture. 

This work-in-progress poster reports on the development process of a virtual environment to support embodied cognition about the scale of scientific entities from subatomic particles to galaxies. Research shows that learners struggle to comprehend the sizes of entities beyond human scale. In order to determine specific entities to use in the virtual environment, a document analysis of US K-undergraduate science education standards was undertaken. Entities, categories of entities, and ranges of sizes were identified. 

We developed the Systems Thinking (ST) and Computational Thinking (CT) Identification Tool (ID Tool) to identify student involvement in ST and CT as they construct and revise computational models. Our ID Tool builds off the ST and CT Through Modeling Framework, emphasizing the synergistic relationship between ST and CT and demonstrating how both can be supported through computational modeling. This paper describes the process of designing and validating the ID Tool with special emphasis on the observable indicators of testing and debugging computational models. We collected 75 hours of students’ interactions with a computational modeling tool and analyzed them using the ID Tool to characterize students’ use of ST and CT when involved in modeling. The results suggest that the ID Tool has the potential to allow researchers and practitioners to identify student involvement in various aspects of ST and CT as they construct and revise computational models.