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Qiwei He
Qiwei He
Підтверджена електронна адреса в georgetown.edu
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Посилання
Рік
Analyzing process data from problem-solving items with n-grams: Insights from a computer-based large-scale assessment
Q He, M Von Davier
Handbook of research on technology tools for real-world skill development …, 2016
1102016
Automated Assessment of Patients’ Self-Narratives for Posttraumatic Stress Disorder Screening Using Natural Language Processing and Text Mining
Q He, BP Veldkamp, CAW Glas, T de Vries
Assessment 24 (2), 157-172, 2017
902017
Predicting self-monitoring skills using textual posts on Facebook
Q He, CAW Glas, M Kosinski, DJ Stillwell, BP Veldkamp
Computers in human behavior 33, 69-78, 2014
832014
Leveraging process data to assess adults’ problem-solving skills: Using sequence mining to identify behavioral patterns across digital tasks
Q He, F Borgonovi, M Paccagnella
Computers & Education 166, 104170, 2021
732021
Latent feature extraction for process data via multidimensional scaling
X Tang, Z Wang, Q He, J Liu, Z Ying
Psychometrika 85 (2), 378-397, 2020
722020
Screening for posttraumatic stress disorder using verbal features in self narratives: A text mining approach
Q He, BP Veldkamp, T de Vries
Psychiatry research 198 (3), 441-447, 2012
672012
Identifying Feature Sequences from Process Data in Problem-Solving Items with N-Grams
Q He, M von Davier
Quantitative Psychology Research: The 79th Annual Meeting of the …, 2015
652015
Collaborative problem solving measures in the Programme for International Student Assessment (PISA)
Q He, M von Davier, S Greiff, EW Steinhauer, PB Borysewicz
Innovative assessment of collaboration, 95-111, 2017
582017
Developments in psychometric population models for technology-based large-scale assessments: An overview of challenges and opportunities
M von Davier, L Khorramdel, Q He, HJ Shin, H Chen
Journal of Educational and Behavioral Statistics 44 (6), 671-705, 2019
552019
Combining clickstream analyses and graph-modeled data clustering for identifying common response processes
E Ulitzsch, Q He, V Ulitzsch, H Molter, A Nichterlein, ...
Psychometrika, 2021
522021
Predictive feature generation and selection using process data from PISA interactive problem-solving items: An application of random forests
Z Han, Q He, M Von Davier
Frontiers in Psychology 10, 2461, 2019
522019
Use of response process data to inform group comparisons and fairness research
K Ercikan, H Guo, Q He
Educational Assessment 25 (3), 179-197, 2020
472020
Mapping background variables with sequential patterns in problem-solving environments: An investigation of United States adults’ employment status in PIAAC
D Liao, Q He, H Jiao
Frontiers in Psychology 10, 646, 2019
462019
Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks
E Ulitzsch, Q He, S Pohl
Journal of Educational and Behavioral Statistics 47 (1), 3-35, 2022
402022
Exploring latent states of problem‐solving competence using hidden Markov model on process data
Y Xiao, Q He, B Veldkamp, H Liu
Journal of Computer Assisted Learning 37 (5), 1232-1247, 2021
362021
Using process data to understand adults’ problem-solving behaviour in the programme for the international assessment of adult competencies (PIAAC): Identifying generalised …
Q He, F Borgonovi, M Paccagnella
OECD, 2019
362019
Clustering sequential navigation patterns in multiple-source reading tasks with dynamic time warping method
Q He, F Borgonovi, J Suárez ´Alvarez
Journal of Computer Assisted Learning, 2022
322022
Clustering Behavioral Patterns Using Process Data in PIAAC Problem-Solving Items
Q He, D Liao, H Jiao
Theoretical and Practical Advances in Computer-based Educational Measurement …, 2019
322019
A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks
E Ulitzsch, V Ulitzsch, Q He, O Lüdtke
Behavior Research Methods 55 (3), 1392-1412, 2023
282023
Process data in educational and psychological measurement
H Jiao, Q He, BP Veldkamp
Frontiers in psychology 12, 793399, 2021
252021
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