Investigating the Impact of Digital Courseware on Learning and Engagement in Introductory Statistics

Vanessa Peters Hinton Co-Author
Digital Promise
 
Zaher Kmail First Author
University of Washington-Tacoma
 
Zaher Kmail Presenting Author
University of Washington-Tacoma
 
Tuesday, Aug 5: 9:15 AM - 9:20 AM
1856 
Contributed Speed 
Music City Center 
This study examines the impact of digital courseware on undergraduate students' learning, engagement, and satisfaction in an introductory statistics course. It compares outcomes between students using the courseware and those receiving traditional instruction, investigating whether features such as self-assessments, personalized study plans, and formative practice with feedback enhance learning and engagement more effectively than conventional methods. The study also explores how incorporating real-world examples and authentic datasets influences student satisfaction and the perceived relevance of course content. Differences in performance, engagement, and satisfaction between the two groups will be assessed using final exam scores and course evaluations, while qualitative interviews with students who used the digital courseware will offer deeper insights into their experiences, the applicability of course content to real-world contexts, and overall course satisfaction. Study findings will help identify best practices for integrating technology and data-driven learning into undergraduate statistics education.

Keywords

digital courseware

introductory statistics

high impact practices

student engagement

formative assessment

feedback 

Main Sponsor

Section on Statistics and Data Science Education