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Soto, Alexis; Schoenlein, Melissa A.; Schloss, Karen B. – Cognitive Research: Principles and Implications, 2023
In visual communication, people glean insights about patterns of data by observing visual representations of datasets. Colormap data visualizations ("colormaps") show patterns in datasets by mapping variations in color to variations in magnitude. When people interpret colormaps, they have expectations about how colors map to magnitude,…
Descriptors: Concept Mapping, Visualization, Data Interpretation, Expectation
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Elizabeth B. Vaughan; A. Montoya-Cowan; Jack Barbera – Chemistry Education Research and Practice, 2024
The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students' cognitive and affective laboratory expectations, the authors of the instrument…
Descriptors: Test Validity, Test Reliability, Expectation, Measures (Individuals)
Margic, Branka Drljaca; Vodopija-Krstanovic, Irena – Peter Lang Publishing Group, 2017
English-medium instruction (EMI) is a complex educational innovation and a prerequisite for active participation in the process of internationalizing academia. Given its impact on today's universities, it is crucial that EMI should be effectively and responsibly implemented. This book draws on a range of theoretical and empirical insights to…
Descriptors: English (Second Language), Language of Instruction, Program Implementation, Teacher Attitudes
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Luhmann, Christian C.; Ahn, Woo-kyoung – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
In existing models of causal induction, 4 types of covariation information (i.e., presence/absence of an event followed by presence/absence of another event) always exert identical influences on causal strength judgments (e.g., joint presence of events always suggests a generative causal relationship). In contrast, we suggest that, due to…
Descriptors: Undergraduate Students, Causal Models, Learning, Influences
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Young, Viki M.; Humphrey, Daniel C.; Wang, Haiwen; Bosetti, Kristin R.; Cassidy, Lauren; Wechsler, Marjorie E.; Rivera, Elizabeth; Murray, Samantha; Schanzenbach, Diane Whitmore – Consortium on Chicago School Research, 2009
Chicago's Renaissance 2010 seeks to create 100 new and autonomous schools by 2010. These new schools are expected to increase choice for parents and students, enact innovative practices, and help create a portfolio of schools designed to make the Chicago Public Schools (CPS) more diversified, responsive, and effective. Renaissance Schools Fund…
Descriptors: Educational Change, Achievement Gains, Program Effectiveness, Program Evaluation
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Feliciano, Cynthia – Sociology of Education, 2006
Understanding how immigrants' children form educational expectations may yield insights into the causes of eventual ethnic disparities in socioeconomic attainments. This article examines how the average relative premigration educational status of the immigrant group and the immigrant group's average postmigration SES shape the educational…
Descriptors: Family Characteristics, Academic Aspiration, Immigrants, Parent Influence