An official website of the United States government
Within the field of K-2 CS education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students’ skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how children use manipulatives to solve unplugged sequencing tasks. This case study approach examined two unplugged sequencing tasks for six children ranging from ages four to seven (pre-kindergarten to 2nd grade). Children showed evidence of several CT competencies during the sequencing tasks: (1) pattern recognition, (2) algorithms and procedures, (3) problem decomposition, and (4) debugging. The strategies and use of manipulatives to showcase CT competencies seemed to evolve in complexity based on age and developmental levels. Taking into account children’s abilities to demonstrate CT competencies, this study suggests that sequencing is a developmentally appropriate entry point for young children to begin engaging in other CT competencies. In addition, these unplugged sequencing tasks can also be easily integrated into other activities commonly experienced in early childhood classrooms.
more »
« less
Early Childhood Teachers’ Use of Asset-based Computational Thinking Pedagogy: Centering Students’ Expertise and Life Experiences
Computational thinking (CT) is central to computer science, yet there is a gap in the literature on how CT emerges and develops in early childhood especially for children from historically marginalized communities. Yet, lack of access to computational materials and effective instruction can create inequities that have lasting effects on young children.
more »
« less
- Award ID(s):
- 2006595
- PAR ID:
- 10562865
- Publisher / Repository:
- https://epk2.wp.txstate.edu/
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Background Computational thinking (CT) is a crucial domain for children to develop in their early years. To increase children's access to CT learning resources, educational programs like PBS KIDS “Lyla in the Loop” have been developed to incorporate CT concepts through narrative structures where characters solve problems using the CT cycle. However, children need explicit guidance to effectively process both educational and narrative content. Engaging children in dialogues that connect educational content with the narrative has proven to enhance comprehension. Aims This study explores the effectiveness of using AI to enable this type of dialogues between children and a media character, supporting children in learning CT by connecting these concepts with everyday situations in “Lyla in the Loop.” Method Through a between-subject randomized control study with 160 children aged four to eight, we will compare children's learning and applications of CT concepts as well as narrative comprehension from AI-assisted dialogues to those who watched the broadcast version of the show without such dialogues. The study also examines the role of children's cognitive abilities and prior CT knowledge in their learning from the show, with or without AI-assisted dialogues. Expected results The findings could enhance our understanding of AI-based scaffolding strategies in children's media and offer practical implications for improving children's learning experiences.more » « less
-
Abstract Computational thinking (CT) is an important twenty-first century skill that begins developing early. Recent interest in incorporating early CT experiences in early childhood education (i.e., preschool) has increased. In fact, the early years mark an important time during which initial competencies are acquired, interest and motivation begins to form, and in which children may develop a sense of belonging in STEM fields. As a result, providing children with access to robotics and computer science experiences to support CT that are also developmentally appropriate and culturally relevant is key. This paper uses the “powerful ideas” of computer science, seven developmentally appropriate CT concepts that children can learn, as a framework and explores the experiences of two (composite) teachers who participated in and co-developed a culturally relevant robotics program and the processes they undertake to support children’s CT development and learning. This paper considers practices that support the seven key powerful ideals while leveraging existing instructional routines and contexts that are already occurring in most classrooms, such as centers, small group activities, classroom environments, and read-alouds. Of note, this paper prioritizes approaches that acknowledge, center, and feature the ethnic, cultural, and linguistic backgrounds of young children and their families. Identifying affordable and accessible practices, this paper provides educators with tangible, integrated, and authentic practices to support children’s computational thinking, STEM learning, and sense of belonging.more » « less
-
This study illustrates how Cognitive Diagnostic Modeling (CDM) can be used to assess fine-grained levels of computational thinking (CT). We analyzed scored responses to the Computational and Spatial Thinking assessment (CaST) from 271 children. We identified four key attributes required to solve tasks: sequencing of codes, fixing a program, spatial orientation of an agent, and rotation on a point. Results indicated that younger children did not master all the attributes, particularly spatial orientation of an agent and rotation on a point. We identified four common mastery profiles of children that were associated with age. Our findings illustrate that mastering spatial orientation is critical to CT ability. Finally, the nuanced information about children’s mastery levels has potential to provide teachers with useful information about what concepts and skills their students are struggling with so that they can adjust instruction to emphasize those concepts.more » « less
-
Cohen, J; Solano, G (Ed.)The integration of Computational Thinking (CT) into K-12 education has gained significance in recent years as the field of education experiences the need to equip students with essential skills for the 21st century. This case study focused on two sequencing activities, involving plugged and unplugged tasks, conducted with four children aged four to seven, spanning pre-kindergarten to second grade. The central research question guiding the study was: "What computational thinking (CT) skills were demonstrated by K-2 students as they engaged in two different sequencing tasks?" The study identified competencies in sequencing, reverse sequencing, debugging, pattern recognition, and problem decomposition. The findings suggest that both unplugged and plugged sequencing tasks provide age-appropriate entry points for young children to develop various CT competencies. Furthermore, the study highlights the potential for plugged and unplugged sequencing tasks to be integrated into early childhood classroom activities, offering a practical approach to promoting CT skills in young learners.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- The DOI is not currently available.
