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Abstract Details

Activity Number: 344
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #323841
Title: Innovative Teaching Methods for Introductory Statistics Courses
Author(s): Xiaohui Wang*
Companies: University of Texas Rio Grande Valley
Keywords: Innovative Teaching Pedagogy ; ALEKS ; Mixed Classroom ; Statistics Education
Abstract:

Educators have been reviewing and revising pedagogies in order to improve student learning and performance in statistics. This study focuses on bringing innovative teaching pedagogies, e.g. flipped classroom, problem-based learning and query-based learning, into statistics classrooms with modern technology. ALEKS is a web-based, artificially intelligent assessment and learning system that provides the advantages of always-there one-on-one instruction and assessment to students. With five years of practices in combining ALEKS with innovative teaching pedagogies and other learning management systems for introductory statistics courses, we will demonstrate practices and benefits of using ALEKS. Our practices were successful in allowing students to claim accountability in their learning and allowing instructors to provide individually tailored guidance and various supports to a typically mixed classroom (i.e. a class with variation in students' course readiness levels and learning habits). Some research findings on students' learning behavior and outcomes will also be discussed to illustrate the effectiveness of our innovative teaching methods for introductory statistics courses.


Authors who are presenting talks have a * after their name.

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