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The Psychometrics Centre

Cambridge Judge Business School

The 2020 International Conference on Artificial Intelligence and Big Data in Education was held in Beijing on December 11-12.

The conference, jointly organised by The National Center for Educational Technology, China, Beijing Normal University, and iFlytek, was the fourth consecutive annual gathering of experts in psychometrics, educational research, measurement and policy and related fields. This year, due to the COVID-19 pandemic, the conference took a blended approach, complementing the 10 off-line panel sessions with 4 online symposiums.

Over the two days, more than 100 talks covered a wide range of topics, including recent advancement in smart assessment, lessons learnt from the teaching practices amid the pandemic, education administration empowered by IT, novel methods in mental health evaluation and intervention, application of neuroscience and AI in language assessment, and innovative research based on process data, smartphone data, sensor data, geographic data, text data, and open data. Among the speakers were local government officials, academic researchers, education practitioners, and technology company representatives.

The conference was streamed online, with an estimate of over 22 million viewings. The success of the conference was covered by major press in China (e.g.,

The Psychometrics Centre, as a long-term collaborator with Beijing Normal University, co-organised two sessions of the conference. Additionally, Executive Director Mr Vesselin Popov presented a case study, which overviewed the entire process from curriculum design to CAT development in Northern Ireland. For those who are interested in more details of the conference, please visit the website Specifically, information about the talks delivered in English can be found below:


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Andreas Schleicher


Educating learners for their future, not our past


Thierry Rocher

DEPP, MoE, France

Digital revolution and educational assessment: what future for assessment tools, objects and fuctions?





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Ying Cui

University of ALberta

A survey of predictive learning analytics of student success in higher education


Ma. Mercedes T. Rodrigo

Ateneo de Manila University

Eye tracking for novice programmer research






Kalifa Damani

EdTech Hub

Potential of educational technology for accelerated learning

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Lei Liu


AI applications to support K12 science learning and teaching

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Markus Buehner

LMU Munich

The Phone Study Project

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Bruce McCandliss

Standord University

Sensitive periods for neural responses in speech perception: implications for second language learning and reading development.

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Beverly Woolf

UMass Amherst

How are you feeling? Emotion recognition in intelligent tutors


Alina von Davier


Test score comparability for digital-first assessments in a computational psychometrics framework


Christopher Harris


Designing technology-enhanced science assessment tasks that focus on knowledge-in-use


Mingyu Feng


Considerations in design and evaluation of intelligence systems for learning


Shuai Wang

SRI International

When is adaptive learning effective learning?


Vesselin Popov

University of Cambridge

From curriculum design to CAT development: A Northern Irish case study


Sandra Matz

Columbia University

Business School

Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics





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James Pennebaker

University of Texas at Austin

Analyzing words: Personality, thinking styles, and behaviors


Jason Rentfrow

University of Cambridge

Geographical psychology: Causes and consequences of the spatial clustering of personality


Michal Kosinski

Stanford University

Educational assessment: Using big data and artificial intelligence


Jenny Gibson

University of Cambridge

Using sensor-based movement and location data to understand social development in children


Samuel Gosling

University of Texas at Austin

Dissolving the distinction between teaching and research via online classes and smartphone sensing


Neil Heffernan

Worcester Polytechnic Institute

ASSISTments: A vision of crowdsourcing


William Revelle

Northwestern University

Open science <=> open methods + open data

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