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Wonjin Yu; Wanju Huang – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study introduces a case of developing and piloting a tailored education program on AI education for beginner-level learners using machine learning platforms such as Google Teachable Machine and Scratch. The program was piloted with 27 elementary school students. Learning effects and satisfaction were examined during the pilot phase. The…
Descriptors: Artificial Intelligence, Program Development, Educational Technology, Learning Management Systems
Cai, Qijie Vicky; Hong, Huili; McNary, Scot W.; Song, Liyan – TechTrends: Linking Research and Practice to Improve Learning, 2023
To broaden participation in robotics education, a free, after-school robotics program has been designed and developed at a public university. As part of a longitudinal study, this paper reports the first iteration of the program, offered to 12 students from Grades 3 through 7 in spring 2022. Three preservice teachers were trained as…
Descriptors: Program Development, Robotics, Computation, Thinking Skills
Mary Ellen Dello Stritto; Naomi R. Aguiar; Greta R. Underhill; Cat Turk; Gretchen Lohry-Smith; Raquel Lamantain – TechTrends: Linking Research and Practice to Improve Learning, 2025
In higher education, online students are often precluded from research assistantships that are more accessible for campus-based students. At a highly ranked institution for online learning, we developed the Undergraduate Research Program (URP) to address this gap in opportunities for online students. The URP is designed to engage fully distanced…
Descriptors: Undergraduate Students, Distance Education, Student Research, Research Opportunities