Xiaoshan Huang 黃小珊
Xiaoshan Huang 黃小珊
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Intelligent Tutoring System
Exploring the co-occurrence of students’ learning behaviours and reasoning processes in an intelligent tutoring system: An epistemic network analysis
The epistemic network analysis can detect learning and reasoning co-occurrences. High performers show more co-occurrences in reflection and higher-order reasoning. Task complexity has impact on students’ learning and reasoning co-occurrences. Intelligent tutoring systems should foster regulation and reasoning acquisition.
Xiaoshan Huang
,
Shan Li
,
Tingting Wang
,
Zexuan Pan
,
Susanne P. Lajoie
2023
In
JCAL 2023
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Poster
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DOI
How to prompt training effectiveness? An investigation on achievement goal setting intervention in workplace learning
To the best of the authors’ knowledge, this study was the first to combine the intervention of goal setting and types of AGOs into workplace learning. This study adds to previous research on goal setting theory and AGO theory for the practical application and proposes an effective model for learners’ adaptive remote learning. Findings of this study can be used to provide educational psychological insights for training and learning in both industrial and academic settings.
Yan Jiang
,
Weihan Lin
,
Xiaoshan Huang
,
Lian Duan
,
Yihua Wu
,
Panpan Jiang
,
Xinheng Wang
2022
In
JWPL22
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Slides
DOI
Exploring teachers’ emotional experience in a TPACK development task
The nBrowser system is designed to support student teachers to regulate their learning while navigating the web and designing a lesson plan that implements technologies into the classroom. Through evaluating teachers' think-aloud protocols while using the computer-based learning environment, we identified emotions and self-regulated learning strategies as core elements in influencing teachers' instructional design performance.
Xiaoshan Huang
,
Lingyun Huang
,
Susanne P. Lajoie
2022
In
Educational Technology Research and Development 2022
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