Research & Studies

Advancing language learning through rigorous research, data-driven insights, and evidence-based methodologies that improve educational outcomes.

Latest Research Our Methodology

Our Research Mission

At iSpeaky, we believe that effective language learning should be grounded in scientific research. Our research team continuously studies language acquisition, educational technology, and learning methodologies to improve our platform and advance the field of language education.

50,000+

Students Studied

85%

Learning Improvement

15

Published Studies

8

University Partners

Our Research Methodology

We employ rigorous scientific methods and collaborate with leading academic institutions to ensure our research meets the highest standards.

Experimental Design

We use randomized controlled trials and quasi-experimental designs to test the effectiveness of our learning interventions.

Data Collection

We collect comprehensive data on student behavior, learning outcomes, and engagement metrics using advanced analytics.

Statistical Analysis

Our research team uses advanced statistical methods to analyze data and draw meaningful conclusions about learning effectiveness.

Research Areas

Our research spans multiple areas of language learning and educational technology to provide comprehensive insights.

Cognitive Science

Understanding how the brain processes language learning and how we can optimize learning experiences based on cognitive science principles.

  • Memory consolidation in language learning
  • Cognitive load theory applications
  • Attention and focus in online learning
Educational Technology

Exploring how technology can enhance language learning experiences and improve educational outcomes.

  • AI-powered personalization
  • Virtual reality in language learning
  • Mobile learning effectiveness
Social Learning

Investigating how social interaction and community features impact language learning success.

  • Peer-to-peer learning dynamics
  • Community engagement effects
  • Cultural exchange benefits
Learning Analytics

Using data science and analytics to understand learning patterns and optimize educational experiences.

  • Predictive learning models
  • Engagement pattern analysis
  • Performance prediction algorithms

University Partnerships

We collaborate with leading academic institutions to conduct rigorous research and advance the field of language education.

Stanford University

Department of Education

MIT

Computer Science and Artificial Intelligence Laboratory

UC Berkeley

Graduate School of Education

Harvard University

Graduate School of Education

Our Research Team

Meet the experts behind our research initiatives and scientific discoveries.

Dr. Sarah Chen
Dr. Sarah Chen

Director of Research

PhD in Educational Psychology from Stanford University. Specializes in cognitive science and language acquisition.

Dr. Michael Rodriguez
Dr. Michael Rodriguez

Lead Data Scientist

PhD in Computer Science from MIT. Expert in machine learning and educational data mining.

Dr. Emily Johnson
Dr. Emily Johnson

Research Psychologist

PhD in Psychology from UC Berkeley. Focuses on motivation and engagement in online learning environments.

Interested in Collaborating?

We're always looking for research partners, academic collaborators, and institutions interested in advancing language learning research.

Contact Research Team