The Student Cognition Toolbox (SCT) is a short course companion (or “sidecar”) introducing and providing direct practice in study strategies that are informed by learning science research. In this version of the SCT, material from introductory statistics is used to illustrate the application of the study strategies. This version gives examples and recommendations specifically for students studying Introductory Statistics.
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Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below. -
Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability.
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Introductory statistics course designed for students who may have a weak algebra background. -
Systematic Reviews and Meta-Analysis: A Campbell Collaboration Online Course provides an overview of the steps involved in conducting a systematic (scientific) review of results of multiple quantitative studies. These steps include: problem formulation, searching for relevant literature, screening potentially eligible studies, coding and critically appraising studies, synthesizing results across studies using meta-analysis, reporting and disseminating results, and updating or re-analysis of data. -
FREE TO PILOT Systematic Reviews and Meta-Analysis: A Campbell Collaboration Online Course provides an overview of the steps involved in conducting a systematic (scientific) review of results of multiple quantitative studies. These steps include: problem formulation, searching for relevant literature, screening potentially eligible studies, coding and critically appraising studies, synthesizing results across studies using meta-analysis, reporting and disseminating results, and updating or re-analysis of data. ACCESS EVALUATION COURSE Click the button below and enter the Course Key SRMA23EVAL on the following page. Follow the prompts to sign in with an existing OLI Account ID or sign up for a new OLI Account ID. If you decide you want to use the course with your students and need instructor access, please email oli-help@cmu.edu to add instructor access to your account.
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Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below. -
An introduction to causal and statistical reasoning, this course is meant for students interested in critical thinking skills for daily life, students who will take a few statistics courses in service of a related field of study, and/or students interested in the foundations of quantitative causal models: called Bayes Networks. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below. -
Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra.
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An introduction to causal and statistical reasoning, this course is meant for students interested in critical thinking skills for daily life, students who will take a few statistics courses in service of a related field of study, and/or students interested in the foundations of quantitative causal models: called Bayes Networks.
