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Rogiers, Amelie; Merchie, Emmelien; van Keer, Hilde – Frontline Learning Research, 2020
The current study uncovers secondary school students' actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15…
Descriptors: Secondary School Students, Learning Strategies, Protocol Analysis, Research Methodology
Boote, Stacy K.; Boote, David N. – Elementary School Journal, 2017
Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…
Descriptors: Elementary School Mathematics, Elementary School Students, Middle School Students, Grade 6
Scott, Terrance M.; Hirn, Regina G.; Alter, Peter J. – Preventing School Failure, 2014
Effective instruction is a critical predictor of student achievement. As students with exceptionalities such as emotional and behavioral disorders and learning disabilities, who typically struggle with academic achievement, spend increasing amounts of general education settings, the need for precise instructional behaviors becomes more imperative.…
Descriptors: Predictor Variables, Student Behavior, Behavior Problems, Teacher Effectiveness
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
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
Use of First-Hand and Second-Hand Data in Science: Does Data Type Influence Classroom Conversations?
Hug, Barbara; McNeill, Katherine L. – International Journal of Science Education, 2008
In this paper, we examine how students discuss and interpret data and whether these actions vary depending on the type of data they analyse. More specifically, we are interested in whether students perform differently when analysing first-hand data, which they collect themselves, compared with second-hand data provided to them. Our data analysis…
Descriptors: Data Analysis, Grade 8, Grade 7, Primary Sources
Johnstone, Christopher J.; Bottsford-Miller, Nicole A.; Thompson, Sandra J. – National Center on Educational Outcomes, University of Minnesota, 2006
Finding ways to improve the design of large-scale tests is a timely issue. Recent changes in Federal legislation (including the No Child Left Behind Act of 2001) have placed greater emphasis on accountability via large-scale tests. Students who have previously been exempted from large-scale assessments, including students with disabilities and…
Descriptors: Measurement, Testing, Test Construction, Protocol Analysis