Review the literature
Reviewed culturally responsive pedagogy, prior background knowledge in ESL reading, and AI-based personalized learning.
Learning AI.
Culturally Responsive AI for English Learning
What if learning began with what we know?
Overview
I investigated the intersection of culturally responsive pedagogy, prior background knowledge in ESL reading, and AI-based personalized learning. The work examines how familiar life contexts may improve English-learning efficiency.
The Challenge
Personalized learning can consider more than language proficiency. This research explores how a learner’s cultural background and prior knowledge might also shape the selection of English-learning materials.
My Contribution
Design a recommendation framework
Designed an AI recommendation framework matching materials to students’ English levels and cultural backgrounds.
Propose a study and write the paper
Proposed a control-versus-experimental study measuring vocabulary retention, reading comprehension, and engagement. Authored a 2,400-word research paper.
Process & Design
- 01
Literature review
Connect culturally responsive teaching, background knowledge, and personalized learning.
- 02
Recommendation framework
Match learning materials to English proficiency and cultural background.
- 03
Proposed study
Compare control and experimental groups on vocabulary retention, reading comprehension, and engagement.
- 04
Research paper
Present the framework and proposed study in a 2,400-word paper.
Outcomes
Received an Honorable Mention in the regional preliminary round of the International AI Innovation Olympiad, AI for Science — Humanities & Social Sciences: Education & Learning Sciences.
- Words in research paper
- 2,400
- Research year
- 2026
- Regional preliminary round
- HM
The control-versus-experimental study was proposed. No completed experiment or measured improvement is reported.