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Botvinick, Matthew M.; Plaut, David C. – Psychological Review, 2006
This article responds to the reply by Cooper and Shallice to Botvinick and Plaut's previous comment . In the authors' view, the reply by Cooper and Shallice left their original responses more or less intact. The present exchange has strongly highlighted the degree to which any account of the habit system will interact with how the goal-directed…
Descriptors: Criticism, Debate, Reader Response, Sequential Approach
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Wiberg, Marie – International Journal of Testing, 2006
A simulation study of a sequential computerized mastery test is carried out with items modeled with the 3 parameter logistic item response theory model. The examinees' responses are either identically distributed, not identically distributed, or not identically distributed together with estimation errors in the item characteristics. The…
Descriptors: Test Length, Computer Simulation, Mastery Tests, Item Response Theory
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Schafer, Erin C.; Thibodeau, Linda M.; Whalen, Holly S.; Overson, Gary J. – Language, Speech, and Hearing Services in Schools, 2007
Purpose: The purpose of this study was to compare the electroacoustic outputs of frequency-modulated (FM) systems coupled to hearing aids. Method: Electroacoustic performance of FM systems coupled to hearing aids was determined for 3 FM receivers: body-worn with neck loop, ear-level nonprogrammable, and ear-level programmable. Systems were…
Descriptors: Assistive Technology, Hearing Impairments, Acoustics, Program Evaluation
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Kitto, Richard J.; Barnett, John – American Journal of Evaluation, 2007
Despite the best of intentions, qualitative researchers can be faced, in some circumstances, with having to make meaning from thin, or less than optimal, data. Using a real study as context, the authors describe the ways that they made sense of their thin data on teachers' perceptions of a large-scale evaluation instrument. They propose a…
Descriptors: Sequential Approach, Qualitative Research, Data Interpretation, Electronic Mail
Boudett, Kathryn Parker; City, Elizabeth A.; Murnane, Richard J. – Principal Leadership, 2006
Organizing the work of instructional improvement around a process that has specific, manageable steps helps educators build confidence and skill in using data. A process that includes eight distinct steps can take school leaders to use their assessment data effectively, and organized these steps into three phases: Prepare, Inquire, and Act. The…
Descriptors: Data Analysis, Instructional Improvement, Data Interpretation, Sequential Approach
Curriculum Review, 2006
A new online learning tool called the eCommSports Kit links a seven-step sports marketing curriculum with a school team to give students real-life experience in developing and executing a plan to boost game attendance. The kit, available through http://www.ecommsports.com, takes teens on a cross-curricular journey through conducting business…
Descriptors: Online Courses, Learning Modules, Sequential Approach, Guidance Programs
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Swartz, Clifford E. – Physics Teacher, 1971
Descriptors: Curriculum, Science Curriculum, Secondary School Science, Sequential Approach
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Cohen, Ronald L. – British Journal of Psychology, 1970
Descriptors: Analysis of Variance, Experimental Groups, Memory, Sequential Approach
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Peters, Donald L.; Messier, Victor – Alberta Journal of Educational Research, 1970
Descriptors: Educational Research, Sequential Approach, Student Reaction, Test Construction
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Hayes, Elizabeth A.; Hood, James M. – Reading Improvement, 1982
Argues that rote memorization can be an effective instructional strategy for the acquisition and retention of sequential skills. Presents eight factors to be considered in the management of rote memorization in the classroom and offers a teaching model for a Spanish vocabulary class. (FL)
Descriptors: Memorization, Secondary Education, Sequential Approach, Spanish
Stebbins, Helene; Scott, L. Carol – Center for Law and Social Policy, Inc. (CLASP), 2007
This paper examines how Head Start and state pre-kindergarten programs can work together to better serve young children and their families. It focuses on two of the several models of early childhood education, acknowledging that these programs are just one piece of a fully integrated system of early care and education for children from birth until…
Descriptors: Kindergarten, Cooperation, Preschool Education, Partnerships in Education
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Gass, Frederick – PRIMUS, 2006
Most beginning calculus courses spend little or no time on a technical definition of the limit concept. In most of the remaining courses, the definition presented is the traditional epsilon-delta definition. An alternative approach that bases the definition on infinite sequences has occasionally appeared in commercial textbooks but has not yet…
Descriptors: Calculus, Definitions, Scientific Concepts, Mathematical Concepts
Parsley, Danette; Dean, Ceri; Miller, Kirsten – Principal Leadership, 2006
Data exists in the context of a community that drives data collection and use. The effective use of data can help principals make informed decisions about their policies, practices, and procedures to improve student achievement. The more systematic and thorough principals are about bringing data to the table when making decisions, the more…
Descriptors: Decision Making, Management Information Systems, Sequential Approach, Evaluation Utilization
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Malikow, Max – Kappa Delta Pi Record, 2006
Teaching in the affective domain, or "domain of emotional response," challenges teachers to focus objectives on their students' attitudes and feelings (Woolfolk 2003). Affective domain teaching occurs simultaneously with teaching in the cognitive domain, never in lieu of it. In this essay, the acronym CRIER (complaining, responding, initiating,…
Descriptors: Student Attitudes, Emotional Response, Program Attitudes, Affective Objectives
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Simon, Patricia – Educational and Psychological Measurement, 2006
The application range of Cohen's Kappa is extended to the field of sequential observation data, where omission mistakes of an observer may often occur. It is shown how the omission mistakes can be incorporated into the calculation of the Kappa coefficient without violating the statistic it is based on. The enhanced coefficient is termed Kappa…
Descriptors: Computation, Statistical Bias, Statistical Analysis, Logical Thinking
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