1st Edition
The Routledge Handbook of Digital Language Assessment Innovations and Insights from the Duolingo English Test
List of figures i
List of tables ii
List of contributors iii
Acknowledgements iv
Foreword
Burr Settles
1. Introduction: Digital Language Assessment in the Age of Accelerations
Ben Naismith
Part I: Test Theory
2. Paradigm Shift: A Dynamic Ecosystem for AI-Driven Language Assessment
Jill Burstein, Alina A. von Davier
3. The Empirical Void: Re-evaluating Trait-Based Tasks in Language Testing
Geoffrey T. LaFlair, Xun Yan
4. Opportunity to Test: Geographical Access as a Neglected Aspect of Test Validity
Ramsey L. Cardwell, William C. M. Belzak
5. Evolving Perspectives on Reading Assessment: Theory, Practice, and the Case of the Duolingo English Test
Xinyi Ma, Xun Yan
Part II: Test Development
6. Compositional Automatic Item Generation: Developing Scalable, Valid, and Innovative Assessments
Yigal Attali, Andrew Runge, Yena Park, Sarah Goodwin, Geoffrey T. LaFlair
The Duolingo English Test Interactive Writing Task: A Conceptual and Evidence-based Innovation in Large-scale Writing Assessment. Mya Poe, Norbert Elliot
7. Digital-first Content Development for Test Fairness
Yena Park, Jacqueline Church, Andrew Runge, Phoebe Mulcaire
8. The DET Platform for Item eXperimentation, Iteration and Evaluation (PIXIE)
Xiaowan Zhang, Andrew Runge, Yigal Attali, Yena Park, Geoffrey T. LaFlair
Part III: Test Scoring
9. Applications of Large Language Models in Automated Writing Evaluation
Nitin Madnani, Phoebe Mulcaire, Kai-Ling Lo
10. Salient Pronunciation Features for L2 Oral Proficiency and Intelligibility: Implications for the DET’s Automated Scoring Algorithms
Masha Kostromitina, Okim Kang
11. Maintaining the Meaning of Test Scores in a High-Volume Evolving Assessment
Steven W. Nydick, Manqian Liao, Siyuan M. Chen, J.R. Lockwood
12. Calibration, Scoring, and Administration of a High-stakes Computerized Adaptive Test
James Sharpnack, Steven W. Nydick, J.R. Lockwood, Alexander Tsigler, Alina A. von Davier
Part IV: Test Infrastructure and Quality Assurance
13. Software Architecture for a High-Stakes, On-demand, Digital-First Language Assessment
Kevin Yancey
14. Securing the DET: Principles and Practices for a Secure Remote High-Stakes Test
Mizra B. Baig, Chenhao Niu, Yong-Siang Shih, Liangyu Chen
15. Measuring Accuracy in Remote Proctoring Decisions
William C. M. Belzak, Yigal Attali
16. Driving Innovation: Technical Program Management in AI-Enabled Digital Language Assessment
Neha Jain, Alina A. von Davier
Part V: Test Impact
17. Investigating Duolingo English Test Washback: A Focus on Test Preparation Activities
Daniel R. Isbell, Ann Tai Choe, Daniel Holden, Ayano Kawasaki, Jieun Kim, Yoonseo Kim, Maggie McGehee, Hitoshi Nishizawa, Leeseul Park, Alexander F. Tang
18. Breaking Barriers: How the Duolingo English Test Expands Access to Global Education
Emma McLeavey-Weeder, Adam Shuck
19. Views on Malian English Pedagogy and Assessment and the DET Language Assessment Tasks: Finding Alignments and Opportunities Through Focus-group Research
Kadidja Koné, Paula Winke
20. Building Trust in a Digital Test Through Marketing, Messaging, and Stakeholder Engagement
Sophie Wodzak, Ramsey L. Cardwell, Masha Kostromitina
Afterword
Innovations in Digital-First Adaptive Testing: The Duolingo English Test and the Future of Personalized Assessment
Alina A. von Davier, Stephen G. Sireci
Biography
Ben Naismith is a Staff Assessment Scientist at Duolingo where he works on research and development of the Duolingo English Test.
Alina A. von Davier is the Chief of Assessment at Duolingo. She has provided thought leadership to the Research and Development area for the Duolingo English Test for the past nine years.
Jill Burstein is a Principal Assessment Scientist at Duolingo, where she leads validity, efficacy, and responsible AI research for the Duolingo English Test.
Geoffrey T. LaFlair is a Principal Assessment Scientist at Duolingo where he leads Assessment Research and Development for the Duolingo English Test.
'Ten years after the Duolingo English Test began reshaping access to English proficiency testing, this handbook captures both the ambition and the evidence behind that work. It shows how digital assessment can be rigorous, fair, scalable, and deeply human.'
- Luis von Ahn, Co-Founder and CEO at Duolingo
'A rigorous and timely contribution to digital assessment science. This handbook tackles AI-driven language testing where it matters: validity, fairness, security, and access. Grounded in evidence from the Duolingo English Test, it sets a new benchmark for responsible, scalable assessment design.'
- Virginia Dignum, Professor of Responsible AI, Umeå University; author of The AI Paradox (Princeton University Press, 2026)






