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Nadya Syifa Utami; Sufyani Prabawanto; Didi Suryadi – International Society for Technology, Education, and Science, 2023
This study describes students' learning obstacles in solving early algebra problems requiring functional thinking ability. To reach this aim, qualitative research was conducted in this study. Participants of this study were 39 ninth graders and a mathematics teacher at one of the lower secondary schools in Bandung, Indonesia. The data were…
Descriptors: Algebra, Mathematics Instruction, Problem Solving, Learning Experience
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Joseph Wong; Edward Chen; Natalie Au-Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2022
Historically, learning for young students has occurred in formal, in-person classroom environments, but the distance learning context has opened a myriad of learning modalities. To this end, we aim to better understand how deploying learning experience design (LXD) approach supports or hinders children's engagement while participating in an…
Descriptors: Learning Processes, Attention Control, Learning Experience, Learner Engagement
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Zhou, Lili; Suazo Flores, Elizabeth; Sapkota, Bima; Newton, Jill – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
People often view mathematics as abstract, cold, and irrelevant to real-life, and their school experiences influence such views. In this case study, we investigated the mathematics learning experiences of two women who participated in an afterschool girls STEM club 26 years ago. We explored their experiences in and out of school and how such…
Descriptors: Relevance (Education), Clubs, After School Programs, STEM Education
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Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis