Linking self-report and process data to performance as measured by different assessment types. - Teresa M. Ober; Maxwell R. Hong; Daniella A. Rebouças-Ju; Matthew F. Carter; Cheng Liu; Ying Cheng 004 (Comput. Educ., 2021)

Corrigendum to "Linking self-report and process data to performance as measured by different assessment types" [Computers & Education 167 (2021) 104188]. - Teresa M. Ober; Maxwell R. Hong; Daniella A. Rebouças-Ju; Matthew F. Carter; Cheng Liu; Ying Cheng 004 (Comput. Educ., 2021)

Application of Neighborhood Components Analysis to Process and Survey Data to Predict Student Learning of Statistics. - Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng 004 (ICALT, 2022)

Adapting to Online and Remote Learning: Examining the Educational Assessment Experiences of U.S. College Students Amidst COVID-19. - Teresa M. Ober; Ying Cheng 004 (IEEE Internet Comput., 2024)

Charting a path for growth in middle school students' attitudes toward computer programming. - Teresa M. Ober; Ying Cheng 004; Meghan R. Coggins; Paul R. Brenner; Janice Zdankus; Phil Gonsalves; Emmanuel Johnson; Tim Urdan (Comput. Sci. Educ., 2024)

Leveraging performance and feedback-seeking indicators from a digital learning platform for early prediction of students' learning outcomes. - Teresa M. Ober; Ying Cheng 004; Matthew F. Carter; Cheng Liu (J. Comput. Assist. Learn., 2024)