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Konstantinos I. Bougioukas; Paschalis Karakasis; Konstantinos Pamporis; Emmanouil Bouras; Anna-Bettina Haidich – Research Synthesis Methods, 2024
Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as "A MeaSurement Tool to Assess Systematic Reviews 2" (AMSTAR 2), is crucial since not all SRs are conducted using the most rigorous methods. In this…
Descriptors: Programming Languages, Research Methodology, Decision Making, Medical Research
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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
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Manolov, Rumen; Tanious, René; Fernández-Castilla, Belén – Journal of Applied Behavior Analysis, 2022
In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been…
Descriptors: Intervention, Behavioral Science Research, Replication (Evaluation), Research Design
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Weidlich, Joshua; Gaševic, Dragan; Drachsler, Hendrik – Journal of Learning Analytics, 2022
As a research field geared toward understanding and improving learning, Learning Analytics (LA) must be able to provide empirical support for causal claims. However, as a highly applied field, tightly controlled randomized experiments are not always feasible nor desirable. Instead, researchers often rely on observational data, based on which they…
Descriptors: Causal Models, Inferences, Learning Analytics, Comparative Analysis
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Sengupta, Souvik; Dasgupta, Ranjan – Education and Information Technologies, 2017
This paper illustrates an approach for architectural design of a Learning Management System (LMS), which is verifiable against the Learning Technology System Architecture (LTSA) conformance rules. We introduce a new method for software architectural design that extends the Unified Modeling Language (UML) component diagram with the formal…
Descriptors: Architecture, Integrated Learning Systems, Educational Technology, Computer Software
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Hockett, Jessica A.; Doubet, Kristina J. – Educational Leadership, 2014
Pre-assessment has a bad reputation, write Hockett and Doubet--but that's largely because it's often misused solely to compare pre- and post-results. Used this way, pre-assessment serves as little more than a thief of instruction and a discouraging exercise for students. The authors describe how teachers can design thoughtful…
Descriptors: Student Evaluation, Evaluation Methods, Individualized Instruction, Comprehension
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Bryant, Damon; Davis, Larry – Applied Psychological Measurement, 2011
This brief technical note describes how to construct item vector plots for dichotomously scored items fitting the multidimensional three-parameter logistic model (M3PLM). As multidimensional item response theory (MIRT) shows promise of being a very useful framework in the test development life cycle, graphical tools that facilitate understanding…
Descriptors: Visual Aids, Item Response Theory, Evaluation Methods, Test Preparation
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Taylor, Jonte'; Villanueva, Mary Grace – Science and Children, 2014
Ensuring science for all in the classroom requires that all students are afforded ways to grasp key science and engineering practices; however, we know that the practice of "obtaining, evaluating, and communicating information" can be a challenging task for children with high incidence disabilities (NGSS Lead States 2013, p. 15).…
Descriptors: Science Instruction, At Risk Students, Learning Disabilities, Behavior Disorders
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Joseph, Laurice M.; Kastein, Laura A.; Konrad, Moira; Chan, Paula E.; Peters, Mary T.; Ressa, Virginia A. – Intervention in School and Clinic, 2014
The ongoing collection and documentation of evidence of students' performance in the classroom is a fundamental component of formative instructional practices, essential for ensuring student success. Multiple methods of collecting and documenting evidence of students' academic performance in the classroom are described. These methods include…
Descriptors: Evidence, Data Collection, Formative Evaluation, Instructional Innovation
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Sadler, Philip M.; Night, Christopher – Physics Teacher, 2010
What kinds of astronomical lab activities can high school and college astronomy students carry out easily in daytime? The most impressive is the determination of latitude and longitude from observations of the Sun. The "shooting of a noon sight" and its "reduction to a position" grew to become a daily practice at the start of the 19th century…
Descriptors: Marine Education, Astronomy, High School Students, College Students
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Olmos, Martin; Corrin, Linda – Australasian Journal of Educational Technology, 2012
The developing field of academic analytics seeks to turn data from educational systems into actionable intelligence for the improvement of teaching and learning. This paper reports on the implementation of analytics in a new medical school with an integrated curriculum and clinical focus. Analytics addressed two challenges in the curriculum:…
Descriptors: Medical Schools, Medical Education, Integrated Curriculum, Clinical Experience
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Eusebi, Paolo – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A graphical method is presented for assessing the state of identifiability of the parameters in a linear structural equation model based on the associated directed graph. We do not restrict attention to recursive models. In the recent literature, methods based on graphical models have been presented as a useful tool for assessing the state of…
Descriptors: Structural Equation Models, Graphs, Evaluation Methods, Mathematical Concepts
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Hojnoski, Robin L.; Gischlar, Karen L.; Missall, Kristen N. – Young Exceptional Children, 2009
Collecting and graphing performance data are important parts of the educational process. Such procedures help educators, caregivers, and other important stakeholders make data-based decisions to accelerate child progress. With school-age children, collecting and graphing data have been associated with more frequent instructional changes to better…
Descriptors: Caregivers, Data Collection, Evaluation Methods, Graphs
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Lingo, Amy S.; Jolivette, Kristine; Barton-Arwood, Sally M. – Preventing School Failure, 2009
On a routine basis, educators collect data on their students' academic and social performance to make informed decisions regarding curricular and social instruction. The authors conducted a case study for a student with emotional and behavioral disorders. The student's teacher provided oral and visual feedback during reading instruction. Data…
Descriptors: Feedback (Response), Social Behavior, Behavior Disorders, Reading Instruction
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Hojnoski, Robin L.; Missall, Kristen N. – Young Exceptional Children, 2007
The first step in documenting children's progress toward important goals, such as developing strong oral language and early literacy skills, requires measurable outcomes. Measurable outcomes contribute to teachers' understanding of whether the gains they observe in children are meaningful by adding quantitative evaluation of a child's progress…
Descriptors: Oral Language, Emergent Literacy, Child Development, Language Acquisition
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