Adaptive Learning in Large Top 40 Course at UNC Charlotte
This research delves into the utilization of adaptive learning in a large top 40 course at UNC Charlotte's Dept. of Psychological Science. It covers potential challenges, proposed solutions, pilot data outcomes, potential impacts, and practical recommendations related to implementing adaptive learning. The study discusses how adaptive learning can address issues such as providing customized instruction, engaging students, aiding in study skill development, and managing assessments effectively, culminating in improved student performance and engagement.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
THE USE OF ADAPTIVE LEARNING IN A LARGE TOP 40 COURSE Hannah Peach, UNC Charlotte Dept. of Psychological Science
OVERVIEW Potential Challenges Proposed Solution Pilot Data Potential Impact Practical Recommendations
POTENTIAL CHALLENGES WITH. Large class size How do we provide customized instruction? Hybrid/blended design How do we encourage/ensure students engage with material? Freshmen/Intro course How do we aid in developing study skills and independence? How do we provide assessments for SO much content?
PROPOSED SOLUTION Product: Macmillan s Launchpad platform Primary resource: Learningcurve Large class size + Hybrid/blended design Template + publisher support Automated grading Adjusts learning for diverse students Freshmen/Intro course Accounts for varied levels of readiness All-inclusive All-or-nothing grading system
PILOT DATA Class average for Learningcurve assignments: 85.6% 34.3% of class completing every assignment (12 total) Correlated with test performance Platform indicated students continuing quizzing above-and-beyond required assignments
POTENTIAL IMPACT For instructors: Low time commitment Increase student engagement/preparedness for class For TA/preceptors: Provide tool for personalizing tutoring For students: Provide low-stakes, valuable incentive for students to connect with material and test themselves Increase time management & study skills For future classes, as well!
PRACTICAL RECOMMENDATIONS 1) Orientation: expectations & emphasizing purpose Reduce DFW rates, improve success 2) Assign adaptive learning assignments before lecture 3) Structure as bite-sized, but worthwhile assignment 4) Encourage as a study tool 5) Provide proof it works!
EXAM 1 CLASS RESULTS Average 69.2 A B 11 29 C 72 D 68 DNA = Did Not Attempt F 37 DNA 20
Learningcurve Total Exam 1 26.05 24.5 23.4 23.1 23.0 A B C D F Assess Your Strengths 8.26 7.27 7.7 7.6 7.9 Exam 1 A B C D F Poll Everywhere Total Exam1 15.8 A 15.4 B 13.1 C 9 13.4 D 13.1 F
The more effort you put in the better the result!
