Paulina Valenzuela Lagos (范寶琳)

EdTech Product Lead & Applied Educational Researcher
📍 Taipei, Taiwan 📧 paoo.ss@gmail.com 🌐 Web Portfolio LinkedIn GitHub ORCID
WORK AUTHORIZATION (TAIWAN): Valid Alien Resident Certificate (ARC) holder as Ph.D. Candidate at NTUST. Eligible for Student Work Permit (up to 20 hrs/week during semester, full-time during breaks). Eligible for Foreign Special Professional work extension upon graduation (Expected: Jun 2027).
EdTech Product Lead & Applied Learning Researcher (Ph.D. Candidate @ NTUST, Expected Jun 2027) combining 10+ years of instructional leadership with full-stack digital product prototyping (Flask, Streamlit, Flutter). Specializes in adaptive readability algorithms, language acquisition tools, and learning experience design. Seeking EdTech Product Management or Learning Analytics roles.

EdTech & Research Highlights

10+ Years Instructional Expertise Taught over 1,000 students across Chile, the US, and Taiwan (K-12, university, and corporate language instruction).
Product Ownership & Code Conceived, designed, and deployed digital learning applications using Python (Flask, Streamlit) and mobile frameworks (Flutter).
Learning Analytics & NLP Developed adaptive text difficulty engines using machine learning (CARLA model) to personalize reading content for language learners.
Mixed-Methods Research Published empirical research triangulating AI model predictions against learner cognitive load, anxiety, and reading comprehension.

EdTech & Product Experience

Product Developer & Project Lead Spanish Reading Club · Ongoing
Web-based Extensive Reading & Onboarding Platform
  • Conceived, built, and launched a web-based extensive reading platform for Spanish language learners worldwide.
  • Built user registration flows, digital content delivery pipelines, and onboarding tools using Python and Flask.
  • Partnered with The Other Way Spanish as EdTech Project Contributor to expand digital community engagement.
Flask Python Product Strategy User Onboarding
Doctoral Researcher & Instructional Designer NTUST · 2022 – Present
Digital Learning & Adaptive Language Pedagogy R&D
  • Designed adaptive text-leveling systems (CARLA Engine) helping non-native readers select material matched to CEFR difficulty levels.
  • Integrated ChatGPT / Generative AI into university curriculum frameworks at NTUST, training over 200+ students on AI-assisted language acquisition.
  • Led empirical user studies evaluating learner interaction, reading speed, and cognitive load with digital tools.
EdTech R&D Curriculum AI Learning Analytics User Experience

Education & Credentials

Ph.D. Candidate in Digital Learning & Education NTUST, Taiwan · Expected Jun 2027
M.A. in Applied Foreign Languages NTUST, Taiwan · Graduated 2022
B.A. in Letters & B.Ed. in Secondary Education Pontificia Universidad Católica de Chile · Graduated 2018