Loading

Lifelong Learning and Emotional Well-being By Dr. Yurou Wang

Content

Introduction Video

About Micro-Facial Expression Tracking Lab

Current Research Direction

Research Questions

Theoretical Framework

Method

Equiptment

Current Findings

Future Directions

Contact Information

The MET Lab

Micro-Facial Expression (MET) Lab is involved in research on students’ learning-related emotions, motivation, and persistence: using a micro-facial tracking system, studies monitor the changes, intensity, and frequency of students’ emotions for analysis.

Current Research Direction

Lifelong learning has garnered increasing interest given its relevance to people as well as to machine learning. The 2019 World Bank’s Annual Report highlighted the importance of lifelong learning amid an era of information explosion, technological transformation, and ongoing evolution. Researchers have long advocated for the promotion of lifelong learning skills in school and family settings. A lifelong learner should be persistent, autonomous, and self-motivated. Given the complexity of the cognitive mechanism underlying lifelong learning, few studies have systematically deciphered the interplay between persistence, autonomy, and motivation (the three basic elements of lifelong learning). Further, little is known about the role of emotion in lifelong learning.

Research Questions

a) How does the cognitive mechanism of lifelong learning work?

b) How does emotion wellbeing influence lifelong learning?

Theoretical Framework

Method

Survey + Interview + Experiment

Measuring Motivation

Internalization of Learning Motivation (ILM) scale developed by Dr. Yurou Wang & Dr. Stepanie Wind

Experiment Measuring Autonomy & Persistence

Two sets of computer-based tasks were conducted for two topics (numerical and literacy reasoning). Each group responded to 25 questions from Genius Tests’ Culture Fair Intelligence Test.

Persistence Calculation

The test-level persistence index was calculated with the following formula:

Equiptment

The Intelligent Micro-facial Expression Recognition System integrates computer vision processing technology and micro-expression detection. Its judgment system can model and learn large numbers of cases through offline training of terabyte data. The system obtains micro-expression models corresponding to different cognitive and psychological states, especially micro-expression data that convey emotion-based changes

Data Visulization

Emotion Change Over Time
Emotion Distribution
Emotional Intensity

Current Findings

Results of the regression model indicated that supporting of autonomy and joy were each significantly and positively related to the persistence score (β1 = 4.159, p = .012), partially supporting our hypothesis. A larger sample size is needed to confirm this finding.

Future Directions

A future project is planned that explores the development of lifelong learning competence between high school students (adolescence) and college students (early adulthood) in addition to including students from different countries (e.g., China, Korea, and Turkey). The same procedure will be used as in the aforementioned study with the potential inclusion of MRI data. Adolescents’ prefrontal cortex is not fully developed, and the emotional control circuit (i.e., top-down control of the prefrontal cortex for the limbic system) in the brain is not fully formed. Thus, adolescents may exhibit different patterns of lifelong learning competence compared with early adults. Relevant insight could help educators explore ideal ways to promote lifelong learning competence while the brain is developing.

Contact Information

Dr. Yurou Wang

Email: yurou.wang@ua.edu

Office Phone Number: (205)-348-7246

Virtual Office Hour: Tuesday 1:30 PM - 5:00 PM (Please email me for Zoom link)

Created By
Yurou Wang
Appreciate

Credits:

Created with images by Marc-Olivier Jodoin - "Space" • Florian Klauer - "vintage typewriter" • Sara Kurfeß - "untitled image" • Skye Studios - "Thanks for checking out our photo, be sure to connect with us on social media as well: Instagram: @skyestudiosmedia YouTube: https://www.youtube.com/channel/UCzkRfcDCpFjVivcsVI0zVJw" • Hello I'm Nik 🎞 - "There’s a derelict factory grounds very close to me, this wall has been erected since the car park was closed to stop cars entering. I love the engraved arrow, rather than the usual, obvious plastic signage. I’m always looking for direction, this photo reminds me that every way is a way." • Jon Tyson - "untitled image" • timJ - "Esplanade_whitesky" • Markus Spiske - "untitled image" • Luca Bravo - "Code on a laptop screen" • Sean Benesh - "Going Up | Smith Rock State Park, Oregon" • Filip Mroz - "The newest bride in town." • Adam Solomon - "Wandering Koreatown I found a welcoming watering hole."