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Gao, Yizhu; Zhai, Xiaoming; Cui, Ying; Xin, Tao; Bulut, Okan – Research in Science Education, 2022
This paper re-validates middle school students' learning progression of the concept of buoyancy (Gao et al., 2020) by using two-time point data. The previous study developed a four-level learning progression based on data collected at a single time point using cross-sectional design. This single-time-point model of learning progression calls for a…
Descriptors: Middle School Students, Grade 8, Physics, Science Curriculum
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Gembo Tshering – Mathematics Teaching Research Journal, 2024
Algebra is critical in shaping future mathematics success and is integral to the K-12 curriculum. Despite its inclusion, a common challenge arises as students' progress to higher grades without a solid foundation, resulting in challenging learning experiences. This action research study focuses on the algebraic learning experience of a Grade 7…
Descriptors: Grade 7, Intervention, Algebra, Mathematics Instruction
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Ge, Jenny; Smyth, Rachael E.; Searle, Michelle; Kirkpatrick, Lori; Evans, Rebecca; Elder, Alexa; Brown, Heather – Brock Education: A Journal of Educational Research and Practice, 2021
Technology continues to form an important part of the educational landscape, although the value of portable devices as learning tools is still being explored and debated. In light of the technology-based teaching methods suddenly brought into effect in response to the COVID-19 pandemic, the deliberate use of technology for learning is increasingly…
Descriptors: Educational Technology, Technology Uses in Education, COVID-19, Pandemics
Randel, Bruce – Online Submission, 2018
Century Analytics, Inc. conducted a rigorous evaluation of Edmentum's Exact Path to estimate the impact of Exact Path use on student achievement in mathematics in kindergarten through Grade 8. Exact Path is an online educational tool designed to support individualized student instruction. This study's quasi-experimental design (QED), analyses, and…
Descriptors: Kindergarten, Grade 1, Grade 2, Grade 3
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Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Thone, Jaime L. – ProQuest LLC, 2013
As educational professionals strive to help students become efficient and effective learners, they must assist in the development of student learning strategies and a greater understanding of the learning process. The purpose of this study was to analyze and compare the learning pattern preferences of middle and high school students in general…
Descriptors: Special Education, Preferences, Study Habits, Cognitive Style
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection