Shengquan Yu
Biographic Data
| ID | 6479265 |
|---|---|
| NAME | Shengquan Yu |
| GIVEN NAMES | Shengquan |
| FAMILY NAME | Yu |
| SIGNATURE | YU S |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0001-6110-6413 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Design group awareness tool for online community: Could the aggregated social knowledge network facilitate social interaction
The quality of social interaction in online courses often falls short of expectations, probably due to learners' difficulties in perceiving the sociality of online learning environments and accessing valid information about others. Group awareness tools (GATs) can address this issue; however, there is little research on GATs specifically designed for online learning communities. Furthermore, different types of awareness are typically provided wit…
Using hybrid intelligence to enhance peer feedback for promoting teacher reflection in video‐based online learning
Video‐based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve the quality of PF, hybrid intelligence is a promising approach that enhances human evaluation with A…
Cognitive outsourcing based on generative artificial intelligence: An Analysis of interactive behavioral patterns and cognitive structural features
摘要: 人类通过外包部分认知任务给外部生成式人工智能技术来提升任务完成的效率和质量, 但认知外包的效果因人而异。为了揭示有效认知外包的关键特征和内在要求, 研究设计了一个面向研究生的认知外包活动, 参与者在生成式人工智能系统的协助下撰写开放性主题文章, 并依据文章得分被划分为高绩效组和低绩效组。通过对知识前测的差异性分析发现高绩效组的先前领域知识水平显著高于低绩效组。通过对交互过程数据进行滞后序列分析和认知网络分析, 发现两组群体在交互行为模式和认知结构特征上存在差异: 高绩效组的行为转换更加多元, 形成“快速自主的任务理解与规划——高效精准的人机互动——选择性提取与深度加工”的行为模式; 高绩效组的认知结构较为均衡和完整, 表现为交互中各认知元素间相对多样且紧密的关联, 而低绩效组的认知结构相对失衡和松散, 表现为对低层次认知元素的偏向和各元素间相对单一且微弱的关联。综合来看, 有效认知外包是个体在认知活动中积极参与、深入加工的复杂过程, 需要内外部认知网络的平衡与有效连接的建立
Effects of the visual analytics of peer feedback on teachers’ TPACK development in a lesson study
Teacher networks and communities have played an important role in teacher professional development. In such contexts, teachers often receive extensive feedback from peers as part of social learning. However, many teachers have difficulty identifying essential information from a large amount of peer feedback, which may impede self-reflection and peer learning. This study proposes the use of computer-assisted visual analytics of peer feedback to ad…
Investigating the mechanism for automatic generation of online learning resources
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners’ ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the “Structure” and “Content” coupled closely and could not easily adjust when learners’ needs changed. To solve this problem, an automatic resource generation mechanism is needed. In this study, we summarize the main …
Implementing a key-competence-based subject knowledge learning tool in Chinese middle schools: The direct and sustained effects
Information and communication technologies (ICTs) in basic education, i.e. K12 education, have often been constrained by sociocultural context and limited to pedagogical aspects, and these innovations have not yet catalyzed curriculum reform as expected. To address this research gap, this study adopted a key-competence-based subject knowledge learning tool, i.e. Smart Learning Partner (SLP), and conducted a quasi-experimental study to evaluate it…
A recommendation system based on an adaptive learning cognitive map model and its effects
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance to make a procedural reflection and self-directed adjustment. This study proposed an adaptive learning…
Using a linked data-based knowledge navigation system to improve teaching effectiveness
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and utilize the educational linked data become increasingly important. This paper proposes a linked data-bas…
Evaluation of a student-centered online one-to-one tutoring system
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students’ academic performance before and after usage of the system and the system log files. By classifying the students into active an…
Promoting meaningful peer feedback among in-service Chinese language teachers in an online lesson study
Exploring the factors influencing teachers’ instructional data use with electronic data systems
A dialogue system for identifying need deficiencies in moral education
Moral education refers to the cultivation of ideals, moral quality, culture, and discipline. One of its main tasks is to analyze students’ problem behaviors and identify their underlying need deficiencies. Previous psychological research has focused on studying how distinct factors affect psychological needs and problem behaviors. However, these findings have provided only scattered guidelines for identifying students’ need deficiencies, which ar…
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A dialogue system for identifying need deficiencies in moral education
Moral education refers to the cultivation of ideals, moral quality, culture, and discipline. One of its main tasks is to analyze students’ problem behaviors and identify their underlying need deficiencies. Previous psychological research has focused on studying how distinct factors affect psychological needs and problem behaviors. However, these findings have provided only scattered guidelines for identifying students’ need deficiencies, which ar…
Exploring the factors influencing teachers’ instructional data use with electronic data systems
A recommendation system based on an adaptive learning cognitive map model and its effects
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance to make a procedural reflection and self-directed adjustment. This study proposed an adaptive learning…
Using a linked data-based knowledge navigation system to improve teaching effectiveness
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and utilize the educational linked data become increasingly important. This paper proposes a linked data-bas…
Evaluation of a student-centered online one-to-one tutoring system
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students’ academic performance before and after usage of the system and the system log files. By classifying the students into active an…
Promoting meaningful peer feedback among in-service Chinese language teachers in an online lesson study
Effects of the visual analytics of peer feedback on teachers’ TPACK development in a lesson study
Teacher networks and communities have played an important role in teacher professional development. In such contexts, teachers often receive extensive feedback from peers as part of social learning. However, many teachers have difficulty identifying essential information from a large amount of peer feedback, which may impede self-reflection and peer learning. This study proposes the use of computer-assisted visual analytics of peer feedback to ad…
Investigating the mechanism for automatic generation of online learning resources
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners’ ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the “Structure” and “Content” coupled closely and could not easily adjust when learners’ needs changed. To solve this problem, an automatic resource generation mechanism is needed. In this study, we summarize the main …
Implementing a key-competence-based subject knowledge learning tool in Chinese middle schools: The direct and sustained effects
Information and communication technologies (ICTs) in basic education, i.e. K12 education, have often been constrained by sociocultural context and limited to pedagogical aspects, and these innovations have not yet catalyzed curriculum reform as expected. To address this research gap, this study adopted a key-competence-based subject knowledge learning tool, i.e. Smart Learning Partner (SLP), and conducted a quasi-experimental study to evaluate it…
Design group awareness tool for online community: Could the aggregated social knowledge network facilitate social interaction
The quality of social interaction in online courses often falls short of expectations, probably due to learners' difficulties in perceiving the sociality of online learning environments and accessing valid information about others. Group awareness tools (GATs) can address this issue; however, there is little research on GATs specifically designed for online learning communities. Furthermore, different types of awareness are typically provided wit…
Using hybrid intelligence to enhance peer feedback for promoting teacher reflection in video‐based online learning
Video‐based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve the quality of PF, hybrid intelligence is a promising approach that enhances human evaluation with A…
Cognitive outsourcing based on generative artificial intelligence: An Analysis of interactive behavioral patterns and cognitive structural features
摘要: 人类通过外包部分认知任务给外部生成式人工智能技术来提升任务完成的效率和质量, 但认知外包的效果因人而异。为了揭示有效认知外包的关键特征和内在要求, 研究设计了一个面向研究生的认知外包活动, 参与者在生成式人工智能系统的协助下撰写开放性主题文章, 并依据文章得分被划分为高绩效组和低绩效组。通过对知识前测的差异性分析发现高绩效组的先前领域知识水平显著高于低绩效组。通过对交互过程数据进行滞后序列分析和认知网络分析, 发现两组群体在交互行为模式和认知结构特征上存在差异: 高绩效组的行为转换更加多元, 形成“快速自主的任务理解与规划——高效精准的人机互动——选择性提取与深度加工”的行为模式; 高绩效组的认知结构较为均衡和完整, 表现为交互中各认知元素间相对多样且紧密的关联, 而低绩效组的认知结构相对失衡和松散, 表现为对低层次认知元素的偏向和各元素间相对单一且微弱的关联。综合来看, 有效认知外包是个体在认知活动中积极参与、深入加工的复杂过程, 需要内外部认知网络的平衡与有效连接的建立
Computer Science (11 works) · Psychology (11 works) · Mathematics education (8 works) · Innovative Teaching and Learning Methods (7 works) · Online Learning and Analytics (7 works) · Multimedia (4 works) · Pedagogy (4 works) · Artificial Intelligence (3 works) · Cognition (3 works) · Human–computer interaction (3 works)