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Cheng, Maurice M. W.; Danielsson, Kristina; Lin, Angel M. Y. – Learning: Research and Practice, 2020
This paper examines the roles of multimodality and thematic patterns in the teaching of the particle model of matter. Although the particle model is a fundamental topic in science education, there is no consensus on (1) whether or not the model should be introduced in early grades and (2) how to introduce the model to students for the very first…
Descriptors: Foreign Countries, Science Instruction, Learning Modalities, Grade 3
Li, Hang; Ding, Wenbiao; Liu, Zitao – International Educational Data Mining Society, 2020
With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K-12 students who are at risk of dropping out of the online courses. Prior researchers have focused on predicting dropout in Massive Open Online Courses (MOOCs), which…
Descriptors: At Risk Students, Online Courses, Elementary Secondary Education, Learning Modalities
Shivers, James; Levenson, Cyra; Tan, Mei – Learning Disabilities: A Contemporary Journal, 2017
A vibrant theory of change capable of fueling critical practice may be an indispensable feature of teaching argument in secondary education. According to the PIE model (Perception, Interpretation, Expression), layers of experience build a cognitive scaffold to support the development of critical skills. In addition, incorporating works of art and…
Descriptors: Visual Literacy, Creativity, Persuasive Discourse, Writing Instruction
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