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Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
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Sammarone, Danielle – AASA Journal of Scholarship & Practice, 2016
The purpose for this correlational, cross-sectional, explanatory was to explain the influence of the length of the school day on the total percentage of students who scored Proficient or Advanced Proficient (TPAP) on the New Jersey Ask (NJ ASK) in Language Arts and Mathematics in Grades 6-8 in for student populations with low, median, and high…
Descriptors: Grade 6, Grade 7, Grade 8, Correlation
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Svihla, Vanessa; Wester, Michael J.; Linn, Marcia C. – Journal of Learning Analytics, 2015
Designing learning experiences that support the development of coherent understanding of complex scientific phenomena is challenging. We sought to identify analytics that can also guide such designs to support retention of coherent understanding. Based on prior research that distributing study of material over time supports retention, we explored…
Descriptors: Science Education, Pretests Posttests, Inquiry, Multiple Regression Analysis
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Grossman, Pam; Cohen, Julie; Ronfeldt, Matthew; Brown, Lindsay – Educational Researcher, 2014
In this study, we examined how the relationships between one observation protocol, the Protocol for Language Arts Teaching Observation (PLATO), and value-added measures shift when different tests are used to assess student achievement. Using data from the Measures of Effective Teaching Project, we found that PLATO was more strongly related to the…
Descriptors: Classroom Observation Techniques, Scores, Language Arts, Academic Achievement
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
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Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation
Dhuey, Elizabeth; Smith, Justin – Society for Research on Educational Effectiveness, 2012
In recent decades, much attention has been focused on student achievement in the United States. Many policy initiatives have been attempted in an effort to bolster achievement, including increasing school revenue, decreasing class size, expanding early childhood programs, and introducing vouchers and charter schools, to name a few, but not all of…
Descriptors: Academic Achievement, Principals, Elementary School Students, Administrator Role
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Tofaha, Gamal Al Sayed; Ramon, Patricia Robledo – Electronic Journal of Research in Educational Psychology, 2010
Introduction: The main purpose of this study is to explore the correlation between dimensions of perfectionism and self-concepts among school aged students in Egypt. Method: Two hundred-eighty four children (fifth and sixth graders) participated in this study. The mean age of the participants was 144.37 months, SD 6.36. Pearson correlation…
Descriptors: Self Concept, Correlation, Foreign Countries, Data Analysis
Stokes, Nicole Osterman – ProQuest LLC, 2010
The purpose of the present study was to examine the predictive ability of oral reading fluency (R-CBM) on a sixth grade high-stakes assessment with ELL and non-ELL students, as well as determine the average rate of growth on R-CBM and how that relates to level of English Proficiency. The participants in the current study included 350 sixth grade…
Descriptors: Reading Fluency, State Standards, Academic Achievement, Second Language Learning
Prata, David Nadler; Baker, Ryan S. J. d.; Costa, Evandro d. B.; Rose, Carolyn P.; Cui, Yue; de Carvalho, Adriana M. J. B. – International Working Group on Educational Data Mining, 2009
This paper presents a model which can automatically detect a variety of student speech acts as students collaborate within a computer supported collaborative learning environment. In addition, an analysis is presented which gives substantial insight as to how students' learning is associated with students' speech acts, knowledge that will…
Descriptors: Data Analysis, Computer Uses in Education, Cooperative Learning, Speech Acts
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Chang, Chiung-Sui – Adolescence (San Diego): an international quarterly devoted to the physiological, psychological, psychiatric, sociological, and educational aspects of the second decade of human life, 2008
The purpose of this study was to describe the development and validation of an instrument to identify various dimensions of the computer technology literacy self-assessment scale (CTLS) for elementary school students. The instrument included five CTLS dimensions (subscales): the technology operation skills, the computer usages concepts, the…
Descriptors: Elementary School Students, Computer Uses in Education, Measures (Individuals), Test Construction
Reilly, Kate; Wooster, Betsy – US Department of the Interior, 2008
Riparian ecosystems are an exciting and dynamic subject for study. These areas are valuable lands and important wildlife habitats, and they contribute greatly to the environmental health of an area. Definitions for the term "riparian" vary, but in this curriculum, the land called the "Green Zone" lies between flowing water and upland ecosystems.…
Descriptors: Concept Mapping, Water Quality, Water, Youth Programs
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Winn, William; Berninger, Virginia; Richards, Todd; Aylward, Elizabeth; Stock, Pat; Lee, Yen-Ling; Lovitt, Dan – Journal of Educational Computing Research, 2006
Two groups of twelve dyslexic children and twelve good readers attended a two-week class during the summer following their enrollment in grades 4-6. The topic was the marine environment and focused on the adventures of an orca whale that had lost its family and needed the children's help. The children attended class for three hours each day, 45…
Descriptors: Learning Theories, Learning Activities, Class Activities, Marine Biology
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