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Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
Winne, Philip H.; Nesbit, John C.; Popowich, Fred – Technology, Knowledge and Learning, 2017
A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules…
Descriptors: Data Collection, Research Methodology, Learning Processes, Computer Software
Robertson, Katherine – Journal of College Science Teaching, 2016
The benefits of undergraduate research are well documented, and many colleges and universities include a senior research requirement for graduation. In addition, most science curricula attempt to include discoverystyle, laboratory components to prepare students for their research experiences and to expose them to research methods in different…
Descriptors: Undergraduate Students, Student Research, Student Experience, Budgets
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Regional Educational Laboratory Mid-Atlantic, 2013
This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…
Descriptors: Academic Achievement, Decision Making, Data Analysis, Feedback (Response)
Schlueter, Mark A.; D'Costa, Allison R. – American Biology Teacher, 2013
Guided-inquiry lab activities with bean beetles ("Callosobruchus maculatus") teach students how to develop hypotheses, design experiments, identify experimental variables, collect and interpret data, and formulate conclusions. These activities provide students with real hands-on experiences and skills that reinforce their understanding of the…
Descriptors: Teaching Methods, Biology, Research Design, Scientific Methodology
McGowan, Herle M.; Vaughan, Joel – Teaching Statistics: An International Journal for Teachers, 2012
We describe an activity that allows students to experience the full process of a statistical investigation, from generating the research question, to collecting data and testing a hypothesis. Implementation of the activity is described both with and without use of clickers, handheld remotes that allow instant data collection.
Descriptors: Hypothesis Testing, Data Collection, Educational Technology, Computer Assisted Instruction
Marshall, Pamela A. – American Biology Teacher, 2013
Students need practice in proposing hypotheses, developing experiments that will test these hypotheses, and generating data that they will analyze to support or refute them. I describe a guided-inquiry activity based on the "tongue map" concept, appropriate for middle school and high school students.
Descriptors: Hypothesis Testing, Research Skills, Student Research, Science Experiments
Gardner, Robert; Davidson, Robert – Teaching Statistics: An International Journal for Teachers, 2010
The use of The Three Stooges' films as a source of data in an introductory statistics class is described. The Stooges' films are separated into three populations. Using these populations, students may conduct hypothesis tests with data they collect.
Descriptors: Hypothesis Testing, Statistics, Films, Data Collection
Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Jones, Clinton D. – Journal of Chemical Education, 2011
A term-paper assignment that encompasses the full scientific method has been developed and implemented in an undergraduate science writing and communication course with no laboratory component. Students are required to develop their own hypotheses, design experiments to test their hypotheses, and collect empirical data as independent scientists in…
Descriptors: Food, Scientific Methodology, Thinking Skills, Content Area Writing
Lawson, Anton E. – Science Education Review, 2008
We should dispense with use of the confusing term "null hypothesis" in educational research reports. To explain why the term should be dropped, the nature of, and relationship between, scientific and statistical hypothesis testing is clarified by explication of (a) the scientific reasoning used by Gregor Mendel in testing specific…
Descriptors: Hypothesis Testing, Educational Research, Statistical Analysis, Prediction
Sofinski, Bruce A. – Inquiry, 2008
Fourteen students in "Comparative Linguistics: American Sign Language & English" (ASL 220) embarked on a class project focused on linguistic variation during the spring 2007 semester at J. Sargeant Reynolds Community College (JSRCC). This class project required students to apply various skills learned in the course, including…
Descriptors: Class Activities, American Sign Language, Teamwork, Critical Thinking
Zhao, Chun-Mei; Luan, Jing – New Directions for Institutional Research, 2006
The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)
Descriptors: Statistics, Enrollment, Data Collection, Data Analysis
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