Advancing quantitative research in foreign language acquisition through innovative statistical modeling and data analytics
Our research lab focuses on quantitative methods in social science research, with particular emphasis on foreign language acquisition studies. We employ cutting-edge statistical techniques and data analytics to understand complex patterns in language learning and social phenomena.
Structural equation modeling and multivariate statistics
Quantitative approaches to foreign language acquisition
Item response theory and multilevel modeling
Computerized Adaptive Testing
Director & Principal Investigator
Ph.D., University of Nottingham, United Kingdom
Office: T4-816, 4th Teaching Building
Phone: (02) 2737-6268
Email: wenta.tseng@mail.ntust.edu.tw
Advanced statistical techniques for analyzing complex relationships between latent and observed variables in social science research.
Comprehensive analysis of multiple variables simultaneously to understand complex data patterns in educational and social contexts.
Mathematical framework for designing, analyzing, and scoring tests and questionnaires in educational assessment.
Statistical analysis of hierarchical data structures to account for nested relationships in social science research.
Systematic review and synthesis of research findings across multiple studies to provide comprehensive evidence.
Quantitative investigation of second and foreign language learning processes, individual differences, and learning outcomes.
Interactive tutorial for learning text mining techniques and applications in language research.
Launch ToolComprehensive Second Language Acquisition course materials and interactive learning modules.
Launch ToolInteractive application for improving academic writing skills and understanding writing processes.
Launch ToolInteractive educational tool exploring theories and stages of first language development.
Launch ToolInteractive tool exploring the critical period hypothesis and neurolinguistic aspects of language acquisition.
Interactive tool for analyzing event-related potentials (N400 and P600) in morphological processing research.
Launch ToolAdvanced meta-analytic structural equation modeling software with interactive web interface for comprehensive statistical analysis.
User-friendly data input interface with multiple import options and validation features.
Comprehensive collection of sample datasets for meta-analysis and SEM practice.
Advanced statistical tests for detecting and correcting publication bias in meta-analyses.
Sophisticated clustering algorithms for identifying patterns in meta-analytic data.
Interactive network visualization for process mining and transition analysis.
Historical development of language acquisition theories from behaviorism to modern approaches.
Comprehensive comparison of major language acquisition theories across key dimensions.
In-depth analysis of core mechanisms and principles in language acquisition theories.
Additional comparative analysis of language acquisition theories and their applications.
Comprehensive theoretical framework analysis and methodological comparisons.
Core concepts and mechanisms of statistical learning in language acquisition.
How different theories explain specific language learning phenomena and patterns.
Practical applications of usage-based theory in language teaching and intervention.
Fundamental concepts and principles underlying statistical learning mechanisms.
Detailed exploration of statistical learning mechanisms in language acquisition.
Research findings and empirical evidence supporting statistical learning theories.
Post-Doctoral Researcher, University of Oulu
Research Focus: Human–AI collaboration in education, Language development in AI-supported learning, Assessment of learning with AI
Research Assistant, National Taiwan University of Science and Technology
Research Focus: Data and Text Mining, App Development, Chatbot
Current Position: [Current Role] at [Institution/Company]
Research Focus: [Research Area during time in lab]
本書系統性介紹如何使用R語言進行文本分析，涵蓋文本語料結構與前處理、聚類與相似性分析、情感分析及機器學習等主題。採用問題導向的實務解釋，適用於社會科學、文學及商業領域的文本數據分析。
Language Teaching Research (in press)
Computer Assisted Language Learning, 38(1–2), 128–171 (2025)
System (in press 2024)
Language Teaching Research, 28(4), 1701–1741 (2024)
Language Teaching Research, 28(1), 156–200 (2024)
Psychology in the Schools, 60(9), 3575–3591 (2023)
SAGE Open, 13(4), 1–26 (2023)
Applied Linguistics Review, 15(3), 391–422 (2022)
Journal of Educational Computing Research, 60(1), 3–35 (2022)
English Teaching & Learning, 45(3), 237–244 (2021)
SAGE Open, 11(4), 1–15 (2021)
Language Teaching Research, 25(3), 400–430 (2021)
Sustainability, 12(16), 6468 (2020)
English Teaching & Learning, 44(4), 439–449 (2020)
System, 88, Article 102190 (2019)
System, 87, Article 102157 (2019)
The Asia-Pacific Education Researcher, 28(5), 393–404 (2019)
British Journal of Educational Technology, 49(1), 69–83 (2018)
Psychological Reports, 122(2), 748–772 (2018)
Perceptual and Motor Skills, 124(2), 531–548 (2017)
Psychological Reports, 120(2), 219–241 (2017)
Computers & Education, 97, 69–85 (2016)
Psychological Reports, 117(1), 319–339 (2015)
International Journal of Listening, 28(2), 112–130 (2014)
Vocabulary Learning and Instruction, 2(1), 64–73 (2013)
Psychological Reports, 108(3), 766–778 (2011)
Social Behavior and Personality, 38(7), 907–918 (2010)
Social Behavior and Personality, 37(10), 1405–1418 (2009)
Language Learning, 58(2), 357–400 (2008)
Applied Linguistics, 27(1), 78–102 (2006)
T4-816, 4th Teaching Building
(02) 2737-6268
wenta.tseng@mail.ntust.edu.tw