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LovettMeyerThilleOpenLearn.pdf

Lovett, M. Meyer, O. & Thille, C. (2008) The Open Learning Initiative: Measuring the Effectiveness of the OLI Statistics Course in Accelerating Student Learning (under review).

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How other faculty are using the OLI Statistics course to support their teaching

Statistics

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OLI StatisticsThe Open & Free Minitab Version will provide you with access to this online course comparable to the full semester course on Statistics taught at Carnegie Mellon University. Your access includes the complete online course including all expository text, simulations, case studies, comprehension tests, interactive learning exercises and StatTutor. The course covers the topics of Exploratory Data Analysis, Producing Data and Study Design, Probability and Statistical Inference. This version of the course uses the statistical package, Minitab for some activities in the course. You will need to have your own copy of Minitab to do some of the activities.

The Open & Free Excel Version will provide you with access to this online course comparable to the full semester course on Statistics taught at Carnegie Mellon University. Your access includes the complete online course including all expository text, simulations, case studies, comprehension tests, interactive learning exercises and StatTutor. The course covers the topics of Exploratory Data Analysis, Producing Data and Study Design, Probability and Satistical Inference. This version of the course uses Microsoft Excel as the statistical package for some activities in the course. You will need to have your own copy of Microsoft Excel to do some of the activities.

The Open & Free versions of the online course do NOT include access to the end-of-module graded exams or to the course instructor. No credit is awarded for completing the Open & Free Version of the course.

The Academic Version is available during the study and is offered through educational institutions for credit awarded by the student's home institution. Students in the Academic Version have access to the same course material as the students in the Open & Free Version PLUS access to the graded exams. The Academic Version tracks student learning of key concepts and gives the student and the instructor formative feedback to improve learning outcomes.

Students

Before using the Academic Version, you will need to obtain a course admit code from your instructor at your home institution. Once you have a course admit code from your instructor, you can register online for the Academic Version of the course by creating a new account and entering the course admit code from your instructor.

Instructors

Instructors of the Academic Version receive access to the online course management tools, online roster and gradebook, and instructor support materials. To use the Academic Version to teach a course, please complete the request for instructor information form.

Course Description

This course introduces students to the basic concepts, logic, and issues involved in statistical reasoning. Major topics include exploratory data analysis, an introduction to research methods, probability, and statistical inference. The objectives of this course are to give students confidence in manipulating and drawing conclusions from data and provide them with a critical framework for evaluating study designs and results.

An important feature of the course is the use of an intelligent tutoring system developed at Carnegie Mellon called "StatTutor." StatTutor aims to facilitate understanding of statistical ideas and analytical techniques by helping students construct useful knowledge representations and thereby develop effective problem-solving skills. It uses a specified outline of steps to follow in solving problems, or "scaffolding". StatTutor will use scaffolding and immediate feedback flexibly, tracking and responding to individual students as they navigate the learning environment.

Available Now

  • A pilot version of the complete online introductory statistics course which includes Exploratory Data Analysis, Producing Data and Study Design, Probability and Statistical Inference. This version requires that the user have a copy of Minitab to complete all the exercises.
  • A pilot version of of the complete online introductory statistics course which includes Exploratory Data Analysis, Producing Data and Study Design, Probability and Statistical Inference. This version requires the user to have a copy of Excel in place of Minitab to complete all exercises.
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Open Learning Iniative at Carnegie Mellon University. 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213. Funding for the Open Learning Initiative at Carnegie Mellon has been provided by The William and Flora Hewlett Foundation. Open Learning Initiative Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213 Funding for the Open Learning Initiative at Carnegie Mellon has been provided by The William and Flora Hewlett Foundation. The William and Flora Hewlett Foundation This work is licensed under the Creative Commons Attribution-Noncommercial Share Alike 3.0 License