Yang Jiang

Dr. Yang Jiang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2024 in Computers & Education
Verified
Journal Article
Closed access
YJYang Jiang
Yang Jiang
JHJiangang Hao
Jiangang Hao
MFMichael Fauss
Michael Fauss
CLChen Li
Chen Li

16 September 2023 in Computers & Education
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Journal Article
Closed access
JAJessica Andrews-Todd
Jessica Andrews-Todd
YJYang Jiang
Yang Jiang
JSJonathan Steinberg
Jonathan Steinberg
SPSamuel L. Pugh
Samuel L. Pugh
SDSidney K. D'MEllo
Sidney K. D'MEllo

11 November 2022 in Computers & Education
Verified
Journal Article
Closed access
YJYang Jiang
Yang Jiang
GCGabrielle A. Cayton-Hodges
Gabrielle A. Cayton-Hodges
LOLeslie Nabors Oláh
Leslie Nabors Oláh
IMIlona Minchuk
Ilona Minchuk

12 March 2020 in Educational Measurement: Issues and Practice
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Journal Article
Closed access
PDF file
BABurcu Arslan
Burcu Arslan
YJYang Jiang
Yang Jiang
MKMadeleine Testing Keehner
Madeleine Testing Keehner
TGTao Gong
Tao Gong
IKIrvin R. Katz
Irvin R. Katz
FYFred Yan
Fred Yan

24 February 2021 in Large-scale Assessments in Education
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Journal Article
Open access
PDF file
YJYang Jiang
Yang Jiang
TGTao Gong
Tao Gong
LSLuis E. Saldivia
Luis E. Saldivia
GCGabrielle Cayton-Hodges
Gabrielle Cayton-Hodges
CAChristopher Agard
Christopher Agard
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to study the cognitive and behavioral processes that underlie test-takers’ performances in ways that are not otherwise possible with the response data alone. In this exploratory study, we investigated the problem-solving processes and strategies applied by the nation’s fourth and eighth graders by analyzing the process data collected during their interactions with two technology-enhanced drag-and-drop items (one item for each grade) included in the first digital operational administration of the NAEP’s mathematics assessments. Results from this research revealed how test-takers who achieved different levels of accuracy on the items engaged in various cognitive and metacognitive processes (e.g., in terms of their time allocation, answer change behaviors, and problem-solving strategies), providing insights into the common mathematical misconceptions that fourth- and eighth-grade students held and the steps where they may have struggled during their solution process. Implications of the findings for educational assessment design and limitations of this research are also discussed.

13 December 2022 in Computers in Human Behavior
Verified
Journal Article
Closed access
YJYang Jiang
Yang Jiang
MMMichelle Martín-Raugh
Michelle Martín-Raugh
ZYZhitong Yang
Zhitong Yang
JHJiangang Hao
Jiangang Hao
LLLei Liu
Lei Liu
PKPatrick C. Kyllonen
Patrick C. Kyllonen