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Qiujie Li
Qiujie Li
National Institute of Education, Nanyang Technological University
Bestätigte E-Mail-Adresse bei nie.edu.sg
Titel
Zitiert von
Zitiert von
Jahr
The different relationships between engagement and outcomes across participant subgroups in massive open online courses
Q Li, R Baker
Computers & Education 127, 41-65, 2018
1152018
Using clickstream data to measure, understand, and support self-regulated learning in online courses
Q Li, R Baker, M Warschauer
The Internet and Higher Education 45, 100727, 2020
1062020
Does inducing students to schedule lecture watching in online classes improve their academic performance? An experimental analysis of a time management intervention
R Baker, B Evans, Q Li, B Cung
Research in Higher Education 60, 521-552, 2019
992019
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.
R Yu, Q Li, C Fischer, S Doroudi, D Xu
International educational data mining society, 2020
932020
The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes
R Baker, D Xu, J Park, R Yu, Q Li, B Cung, C Fischer, F Rodriguez, ...
International Journal of Educational Technology in Higher Education 17, 1-24, 2020
722020
Gender Achievement Gaps Among Chinese Middle School Students and the Role of Teachers’ Gender
D Xu, Q Li
Economics of Educational Review 67, 82-93, 2018
492018
Does blended instruction enhance English language learning in developing countries? Evidence from Mexico
D Xu, D Glick, F Rodriguez, B Cung, Q Li, M Warschauer
British journal of educational technology 51 (1), 211-227, 2020
462020
Increasing success in higher education: The relationships of online course taking with college completion and time-to-degree
C Fischer, R Baker, Q Li, GA Orona, M Warschauer
Educational Evaluation and Policy Analysis 44 (3), 355-379, 2022
322022
Predicting Success, Preventing Failure: Using Learning Analytics to Examine the Strongest Predictors of Persistence and Performance in an Online English Language Course
D Glick, A Cohen, E Festinger, D Xu, Q Li, M Warschauer
Utilizing learning analytics to support study success, 249-273, 2019
292019
Understanding Engagement in MOOCs
Q Li, R Baker
9th International Conference on Educational Data Mining (EDM). Raleigh, NC, USA., 2016
272016
Beyond First Encounters with Analytics: Questions, Techniques and Challenges in Instructors’ Sensemaking
Q Li, Y Jung, A Friend Wise
LAK21: 11th International Learning Analytics and Knowledge Conference, 344-353, 2021
252021
What predicts the use of interaction-oriented pedagogies? The role of self-efficacy, motivation, and employment stability
GA Orona, Q Li, P McPartlan, C Bartek, D Xu
Computers & Education 184, 104498, 2022
172022
How Can We Improve Online Learning at Community Colleges?: Voices from Online Instructors and Students
Q Li, X Zhou, B Bostian, D Xu
Online learning, 2021
162021
Can student-facing analytics improve online students’ effort and success by affecting how they explain the cause of past performance?
Q Li, D Xu, R Baker, A Holton, M Warschauer
Computers & Education 185, 104517, 2022
142022
Online instruction for a humanized learning experience: Techniques used by college instructors
Q Li, M Bañuelos, Y Liu, D Xu
Computers & Education 189, 104595, 2022
132022
Online course quality rubric: a tool box
D Xu, Q Li, X Zhou
Online Learning Research Center, 2020
102020
The motivational system of task values and anticipated emotions in daily academic behavior
O Umarji, P McPartlan, J Moeller, Q Li, J Shaffer, J Eccles
Motivation and Emotion 45, 599-616, 2021
92021
Just a Methodological Cautionary Note: The Jingle Jangle of Self-Related Beliefs in Motivational Measures
HR Lee, P McPartlan, O Umarji, Q Li, JS Eccles
Journal of Educational and Psychological Research 29, 72-95, 0
9*
Unpacking Instructors’ analytics use: two distinct profiles for informing teaching
Q Li, Y Jung, B d'Anjou, AF Wise
LAK22: 12th International Learning Analytics and Knowledge Conference, 528-534, 2022
52022
College online courses have strong design in scaffolding but vary widely in supporting student agency and interactivity
X Zhou, Q Li, D Xu, XF Li, C Fischer
The Internet and Higher Education 58, 100912, 2023
42023
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