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Paul Biberstein; Thomas Castleman; Luming Chen; Shriram Krishnamurthi – Informatics in Education, 2024
CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation-based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also…
Descriptors: Data Science, Secondary School Students, Programming, Open Source Technology

Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
Katherine L. McNeill; Renee Affolter – Learning Professional, 2024
Curriculum-based professional learning is not just having teachers read curriculum materials, but rather includes carefully crafted experiences to support their sensemaking, deep understanding of the curriculum and its pedagogy, and ability to transfer that knowledge into practice. This instructional model requires that teachers be responsive to…
Descriptors: Expertise, Educational Quality, Faculty Development, Curriculum Implementation
Victoria Ly – ProQuest LLC, 2024
This dissertation explores the utilization of internet-connected devices to address the accessibility challenges associated with microscopy in the field of biology. Traditional microscopy devices are often costly, limiting their widespread adoption in laboratories. To overcome this barrier, we developed a cost-effective multi-well imaging device…
Descriptors: Open Source Technology, Biology, Science Instruction, Illustrations