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1. Deal Me in: Playing Cards in the Home to Learn Math

   https://doi.org/10.3390/educsci12030190  

   Scalise, Nicole R.; DePascale, Mary; Tavassolie, Nadia; McCown, Claire; Ramani, Geetha B. (March 2022, Education Sciences)

   Recent meta-analyses have demonstrated a significant association between children’s early math achievement and their experiences with math at home, including their caregivers’ talk about math. However, few studies have investigated the relations between caregiver math talk and children’s learning with experimental designs. Eighty-six children (M = 5.0 years) and their caregivers were randomly assigned to play either a numeracy or a shape card game at home for six weeks. Data were collected on children’s number and shape knowledge and families’ math talk during gameplay. There was substantial participant attrition (42% did not return completed materials), however, both an intent-to-treat analysis of the sample that received study materials and a subgroup analysis of study completers showed that children who played the shape game significantly improved their shape naming and matching skills relative to children who played the number game. Children who played the number game did not significantly improve their numerical skills relative to children who played the shape game. Mathematical talk during gameplay varied between families but was correlated over time within families. Caregivers’ and children’s talk about matching cards by shape or color predicted children’s learning from the shape game. The results suggest that despite receiving uniform instructions and materials, there was significant variability in children’s home math experiences that predicted their learning from the card game. 

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2. Data collection and analysis for preschoolers: An engaging context for integrating mathematics and computational thinking with digital tools

   Lewis_Presser, A E; Young, J M; Rosenfeld, D; Clements, L J; Kook, J F; Sherwood, H; Cerrone, M (June 2023, Early childhood research quarterly)

   Collecting and organizing data to understand and answer real-world questions is an increasingly important skill in our current world. Fostering data collection and analysis (DCA) skills in young children leverages key mathematics skills as well as the data representation, visualization, and interpretation skills of computational thinking (CT), culminating in a problem-solving approach with data. As such, the intervention, comprising investigations and a digital app, supported preschool teachers and children to answer data-focused questions by engaging in each step of the DCA process in order to foster CT and math skills. Teachers appreciated that the app offers a new way for children to visualize data and noted that the app provided learning opportunities for children that would not otherwise be possible or easy to implement. Results also suggest that the app provides a systematic process for data collection, entry, and interpretation. Children in classrooms that completed the intervention had significantly higher scores at post-intervention compared to children in classrooms that did not complete the intervention, controlling for pre-intervention scores, B(SE) = 0.13(0.05), t (6) = 2.48, p = .048. 

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3. RoboMath: Designing a Learning Companion Robot to Support Children’s Numerical Skills

   https://doi.org/10.1145/3459990.3460709  

   Ho, Hui-Ru; Cagiltay, Bengisu; White, Nathan Thomas; Hubbard, Edward M.; Mutlu, Bilge (June 2021, IDC '21: Interaction Design and Children)

   null (Ed.)

   Children’s early numerical knowledge establishes a foundation for later development of mathematics achievement and playing linear number board games is effective in improving basic numeri- cal abilities. Besides the visuo-spatial cues provided by traditional number board games, learning companion robots can integrate multi-sensory information and offer social cues that can support children’s learning experiences. We explored how young children experience sensory feedback (audio and visual) and social expressions from a robot when playing a linear number board game, “RoboMath.” We present the interaction design of the game and our investigation of children’s (n = 19, aged 4) and parents’ experiences under three conditions: (1) visual-only, (2) audio-visual, and (3) audio- visual-social robot interaction. We report our qualitative analysis, including the themes observed from interviews with families on their perceptions of the game and the interaction with the robot, their child’s experiences, and their design recommendations. 

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4. Engaging preschoolers in data collection and analysis with manipulatives, body movement, and digital technology

   Lewis Presser, A. E. (February 2021, Early Childhood STEM Conference)

   null (Ed.)

   This workshop will focus on how to teach data collection and analysis to preschoolers. Our project aims to promote preschoolers’ engagement with, and learning of, mathematics and computational thinking (CT) with a set of classroom activities that engage preschoolers in a data collection and analysis (DCA) process. To do this, the project team is engaging in an iterative cycle of development and testing of hands-on, play-based, curricular investigations with feedback from teachers. A key component of the intervention is a teacher-facing digital app (for teachers to use with students on touch-screen tablets) to support the collaboration of preschool teachers and children in collecting data, creating simple graphs, and using the graphs to answer real-world questions. The curricular investigations offer an applied context for using mathematical knowledge (i.e., counting, sorting, classifying, comparing, contrasting) to engage with real-world investigations and lay the foundation for developing flexible problem-solving skills. Each investigation follows a series of instructional tasks that scaffold the problem-solving process and includes (a) nine hands-on and play-based problem-solving investigations where children answer real-world questions by collecting data, creating simple graphs, and interpreting the graphs and. (b) a teacher- facing digital app to support specific data collection and organization steps (i.e., collecting, recording, visualizing). This workshop will describe: (1) the rationale and prior research conducted in this domain, (2) describe an intervention in development focused on data collection and analysis content for preschoolers that develop mathematical (common core standards) and computational thinking skills (K-12 Computational Thinking Framework Standards), (3) demonstrates an app in development that guides teacher and preschoolers through the investigation process and generates graphs to answer questions (NGSS practice standards), (4) report on feedback from a pilot study conducted virtually in preschool classrooms; and (5) describe developmentally appropriate practices for engaging young children in investigations, data collection, and data analysis. 

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5. Developing Math Knowledge and Computational Thinking Through Game Play and Design: A Professional Development Program.

   Smith, H. (October 2020, Contemporary issues in technology and teacher education)

   null (Ed.)

   The Game Play and Design Framework is a project-based instructional method to engage teachers and students with mathematics content by utilizing technology as a vehicle for game play and creation. In the authors’ prior work, they created a technology tool and game editing platform, the Wearable Learning Cloud Platform (WLCP), which enables teachers and students to play, create, and experience technology-augmented learning activities. This paper describes a 14-week Game Play and Design professional development program in which middle school teachers played, designed, tested, and implemented mathematics games in the classroom with their own students. Examples are included of teacher-created games, feedback from the students’ experience designing games, and evidence of student learning gains from playing teacher-created games. This work provides a pedagogical approach for educators and students that utilizes the benefits of mobile technologies and collaborative learning through games to develop students’ higher-level thinking in STEM classrooms. 

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