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Rowbotham, Melodie A. – Illinois Education Research Council, 2015
Continued employment and advancement for faculty members depends upon growth in teaching practices; thus, there is a need for faculty across all disciplines to understand best instructional practices and the strategies that develop effective teaching behaviors and skills. While faculty members at the university level are considered experts in…
Descriptors: Faculty Development, Teacher Effectiveness, Self Efficacy, Teaching Skills
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Yavuz, Olcay – International Journal of Education Policy and Leadership, 2016
Disparities in college access for underrepresented urban students are one of the most urgent educational problems of America's education system. In response to growing national concern, this longitudinal study investigated how school leaders worked collaboratively with key stakeholders to implement research-supported student services in order to…
Descriptors: Leadership, Educational Change, Equal Education, Access to Education
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LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
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Stefanou, Candice; Hoffman, Lynn; Vielee, Nicolette – Learning Environments Research, 2008
College student notes were analysed with respect to the amount of words copied directly, omitted and added to the teacher's overheads or PowerPoint slides in order to understand the effect of teacher scaffolds on student generative learning during initial encoding. Scores on quizzes taken at the end of classes from which notes were collected were…
Descriptors: Tests, College Students, Notetaking, Teaching Methods
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Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic