Susu Zhang
Biographic Data
| ID | 8867429 |
|---|---|
| NAME | Susu Zhang |
| GIVEN NAMES | Susu |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG S |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0003-0751-6467 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The soft power of kites
The Yangjiabu Kite Festival, originating over 2000 years ago in Shandong Province, China, stands as a testament to the enduring cultural heritage and artistic traditions of kite flying. This research explores the historical origins, cultural symbolism, festival format, community engagement, and international exposure of the Yangjiabu Kite Festival, shedding light on its evolution and impact over time. Findings reveal the festival's deep roots in …
Identifying student profiles in a digital mental rotation task
Mental rotation (MR), a key aspect of spatial reasoning, is highly predictive of success in STEM fields. This study analyzed strategies employed by 27,600 eighth-grade students during a digital MR task from the 2017 National Assessment of Educational Progress (NAEP) in mathematics. Utilizing K-means cluster analysis to categorize behavioral and performance patterns, we identified four distinct profiles: Cognitive Offloaders (15% of the sample), I…
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties of oblique bifactor models through Monte Carlo simulations. Study 1 showed that the classic oblique …
Extended Time Accommodation and the Academic, Behavioral, and Psychological Outcomes of Students With Learning Disabilities
This study analyzed performance, process, and survey data of eighth graders with learning disabilities (LDs) who took the 2017 National Assessment of Educational Progress (NAEP) digital math test. Compared with students with LDs who did not receive extended time accommodations (ETAs), students with LDs who received and used ETA scored significantly higher on the test, whereas students with LDs who received but did not use ETA scored significantly…
A Model-Based Approach to the Disentanglement and Differential Treatment of Engaged and Disengaged Item Omissions
Item omissions in large-scale assessments may occur for various reasons, ranging from disengagement to not being capable of solving the item and giving up. Current response-time-based classification approaches allow researchers to implement different treatments of item omissions presumably going back to different mechanisms. These approaches, however, are limited in that they require a clear-cut decision on the underlying missingness mechanism an…
Modeling the interaction between resilience and ability in assessments with allowances for multiple attempts
Many computer-based assessments, in particular those administered in learning settings, provide immediate item-level feedback and permit respondents to retry questions following incorrect responses. Doing so supports learning and facilitates the measurement of partial mastery. However, persistence through attempts may introduce new factors, such as resilience, affecting a student's test score. The current study proposes a tree-based approach to j…
A joint modeling framework of responses and response times to assess learning outcomes
A general modeling framework of response accuracy and response times is proposed to track skill acquisition and provide additional diagnostic information on the change of latent speed in a learning environment. This framework consists of two types of models: a dynamic response model that captures the response accuracy and the change of discrete latent attribute profile upon factors such as practice, intervention effects, and other latent and obse…
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A joint modeling framework of responses and response times to assess learning outcomes
A general modeling framework of response accuracy and response times is proposed to track skill acquisition and provide additional diagnostic information on the change of latent speed in a learning environment. This framework consists of two types of models: a dynamic response model that captures the response accuracy and the change of discrete latent attribute profile upon factors such as practice, intervention effects, and other latent and obse…
Modeling the interaction between resilience and ability in assessments with allowances for multiple attempts
Many computer-based assessments, in particular those administered in learning settings, provide immediate item-level feedback and permit respondents to retry questions following incorrect responses. Doing so supports learning and facilitates the measurement of partial mastery. However, persistence through attempts may introduce new factors, such as resilience, affecting a student's test score. The current study proposes a tree-based approach to j…
Identifying student profiles in a digital mental rotation task
Mental rotation (MR), a key aspect of spatial reasoning, is highly predictive of success in STEM fields. This study analyzed strategies employed by 27,600 eighth-grade students during a digital MR task from the 2017 National Assessment of Educational Progress (NAEP) in mathematics. Utilizing K-means cluster analysis to categorize behavioral and performance patterns, we identified four distinct profiles: Cognitive Offloaders (15% of the sample), I…
Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties of oblique bifactor models through Monte Carlo simulations. Study 1 showed that the classic oblique …
Extended Time Accommodation and the Academic, Behavioral, and Psychological Outcomes of Students With Learning Disabilities
This study analyzed performance, process, and survey data of eighth graders with learning disabilities (LDs) who took the 2017 National Assessment of Educational Progress (NAEP) digital math test. Compared with students with LDs who did not receive extended time accommodations (ETAs), students with LDs who received and used ETA scored significantly higher on the test, whereas students with LDs who received but did not use ETA scored significantly…
A Model-Based Approach to the Disentanglement and Differential Treatment of Engaged and Disengaged Item Omissions
Item omissions in large-scale assessments may occur for various reasons, ranging from disengagement to not being capable of solving the item and giving up. Current response-time-based classification approaches allow researchers to implement different treatments of item omissions presumably going back to different mechanisms. These approaches, however, are limited in that they require a clear-cut decision on the underlying missingness mechanism an…
The soft power of kites
The Yangjiabu Kite Festival, originating over 2000 years ago in Shandong Province, China, stands as a testament to the enduring cultural heritage and artistic traditions of kite flying. This research explores the historical origins, cultural symbolism, festival format, community engagement, and international exposure of the Yangjiabu Kite Festival, shedding light on its evolution and impact over time. Findings reveal the festival's deep roots in …
Computer Science (5 works) · Artificial Intelligence (4 works) · Psychology (4 works) · Machine learning (3 works) · Mathematics (3 works) · Statistics (3 works) · Advanced Causal Inference Techniques (2 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Econometrics (2 works)