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Hayes, Matthew W.; Prus, Joseph – College Student Journal, 2014
The present study examined whether students used qualitative information, quantitative information, or both when making course selection decisions. Participants reviewed information on four hypothetical courses in an advising context before indicating their likelihood to enroll in those courses and ranking them according to preference. Modeled…
Descriptors: Undergraduate Students, Student Evaluation of Teacher Performance, Course Selection (Students), Evaluation Methods
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Warford, Mark K. – Journal of Educational Technology Systems, 2014
SUNY-wide, the online horse has left the gate. Meanwhile, campuses contend with traditional means for evaluating teaching effectiveness that do not match up against the latest standards for online instruction. Following a discussion of some of the core considerations that individual campuses need to address in responding to Open SUNY, the author…
Descriptors: Guidelines, Instructional Effectiveness, Teaching Methods, Online Courses
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Overland, Corin T. – Music Educators Journal, 2014
Between 2009 and 2014, thirty-seven states in the United States have adopted or significantly amended their teacher evaluation laws, mostly shifting toward using measurements of student growth on achievement tests. Yet, the processes to evaluate core subjects have not always transitioned smoothly to nontested or artistic content, causing some…
Descriptors: Teacher Evaluation, Music Education, Art Education, Educational Policy
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Crawford, Lindy – Preventing School Failure, 2014
This article discusses the role of assessment in a response-to-intervention model. Although assessment represents only 1 component in a response-to-intervention model, a well-articulated assessment system is critical in providing teachers with reliable data that are easily interpreted and used to make instructional decisions. Three components of…
Descriptors: Intervention, Models, Response to Intervention, Student Evaluation
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Kulgemeyer, Christoph; Schecker, Horst – EURASIA Journal of Mathematics, Science & Technology Education, 2014
This paper gives an overview of research on modelling science competence in German science education. Since the first national German educational standards for physics, chemistry and biology education were released in 2004 research projects dealing with competences have become prominent strands. Most of this research is about the structure of…
Descriptors: Competence, Science Achievement, Science Education, National Standards
Guarino, Cassandra M.; Reckase, Mark D.; Stacy, Brian W.; Wooldridge, Jeffrey M. – Education Policy Center at Michigan State University, 2014
We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a "falsification test"). We discuss theoretical…
Descriptors: Achievement Gains, Evaluation Methods, Teacher Effectiveness, Educational Quality
Harris, Douglas; Sass, Tim; Semykina, Anastasia – Urban Institute, 2010
Research on teacher productivity, and recently developed accountability systems for teachers, rely on value-added models to estimate the impact of teachers on student performance. The authors test many of the central assumptions required to derive value-added models from an underlying structural cumulative achievement model and reject nearly all…
Descriptors: Academic Achievement, Accountability, Models, Evaluation Methods
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Brantley-Dias, Laurie; Ertmer, Peggy A. – Journal of Research on Technology in Education, 2013
In the education community, the Technological Pedagogical Content Knowledge (TPACK) framework has become a popular construct for examining the types of teacher knowledge needed to achieve technology integration. In accordance with Katz and Raths's 'Goldilocks Principlen' (cited in Kagan, 1990), TPACK, with its seven knowledge domains, may be too…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Technology Integration, Teacher Competency Testing
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Lin, Yi-Chun; Huang, Yueh-Min – Educational Technology & Society, 2013
Prior knowledge is a very important part of teaching and learning, as it affects how instructors and students interact with the learning materials. In general, tests are used to assess students' prior knowledge. Nevertheless, conventional testing approaches usually assign only an overall score to each student, and this may mean that students are…
Descriptors: Prior Learning, Models, Decision Making, Evaluation Methods
Engelhard, George, Jr.; Wind, Stefanie A.; Kobrin, Jennifer L.; Chajewski, Michael – College Board, 2013
The purpose of this study is to illustrate the use of explanatory models based on Rasch measurement theory to detect systematic relationships between student and item characteristics and achievement differences using differential item functioning (DIF), differential group functioning (DGF), and differential person functioning (DPF) techniques. The…
Descriptors: Test Bias, Evaluation Methods, Measurement Techniques, Writing Evaluation
Darling-Hammond, Linda; Amrein-Beardsley, Audrey; Haertel, Edward H.; Rothstein, Jesse – National Academy of Education (NJ1), 2011
There is a widespread consensus among practitioners, researchers, and policy makers that current teacher evaluation systems in most school districts do little to help teachers improve or to support personnel decision making. For this reason, new approaches to teacher evaluation are being developed and tested. There is also a growing consensus that…
Descriptors: Evidence, Teacher Evaluation, Teaching Methods, Academic Achievement
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Whitney, Carol – Brain and Language, 2011
Reaction times in lexical decision are more sensitive to a words' length and orthographic-neighborhood density when the stimulus is presented to the left visual field (LVF) than to the right visual field (RVF). We claim that the length effect is equivalent to the neighborhood effect, and propose a novel explanation of why the LVF, but not the RVF,…
Descriptors: Visual Perception, Reaction Time, Stimuli, Models
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Averbeck, Bruno B.; Kilner, James; Frith, Christopher D. – Journal of Cognitive Neuroscience, 2011
Although much is known about decision making under uncertainty when only a single step is required in the decision process, less is known about sequential decision making. We carried out a stochastic sequence learning task in which subjects had to use noisy feedback to learn sequences of button presses. We compared flat and hierarchical behavioral…
Descriptors: Feedback (Response), Disabilities, Decision Making, Correlation
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Karsten, Amanda M.; Carr, James E.; Lepper, Tracy L. – Behavior Modification, 2011
The rich technology of stimulus preference assessment (SPA) is a product of 40 years of experimental research. Basic principles of reinforcement and a modest empirical literature suggest that high-preference stimuli identified via SPA may enhance treatment efficacy and decrease problem behavior more effectively than less-preferred stimuli. SPAs…
Descriptors: Stimuli, Autism, Pervasive Developmental Disorders, Models
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Diaz, Estrella; De la Casa, L. G. – Learning and Motivation, 2011
This paper presents evidence of extinction, spontaneous recovery and renewal in a conditioned preferences paradigm based on taste-taste associations. More specifically, in three experiments rats exposed to a simultaneous compound of citric acid-saccharin solution showed a preference for the citric solution when the preference was measured with a…
Descriptors: Stimuli, Models, Animals, Laboratory Experiments
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