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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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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 reading in kindergarten through Grade 3. Exact Path is an online educational tool designed to support individualized student instruction. This study's quasi-experimental design (QED), analyses, and…
Descriptors: Reading Achievement, Kindergarten, Grade 1, Grade 2
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