Lishan Zhang
Biographic Data
| ID | 6945213 |
|---|---|
| NAME | Lishan Zhang |
| GIVEN NAMES | Lishan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG L |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0003-0830-2399 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing ocean carbon sinks through market mechanism in China
Purpose As the largest carbon reservoir on Earth, the ocean plays a vital role in addressing climate change. Market mechanisms can enhance the effectiveness of ocean carbon sinks and leverage the ocean’s potential in climate governance. To ensure a stable and effective transition of marine carbon sinks from ecological resources into ecological capital within a market framework, robust policy and legislative support is essential. This paper aims a…
Media Framing of the Suez Canal Blockage
This study conducts a comparative discourse analysis of media framing associated with the 2021 Suez Canal blockage in Chinese and American English-language press. Using a corpus-driven keyword analysis, it identifies four semantic frames, namely problem definition, causal interpretation, consequential impact, and proposed solutions. Findings reveal divergent framing strategies, with Chinese media framing the event as a manageable disruption while…
Automatic Deductive Coding in Discourse Analysis
Deductive coding is a common discourse analysis method widely used by learning science and learning analytics researchers for understanding teaching and learning interactions. It often requires researchers to manually label all discourses to be analyzed according to a theoretically guided coding scheme, which is time-consuming and labor-intensive. The emergence of large language models such as GPT has opened a new avenue for automatic deductive c…
Preparation before collaboration matters
Although existing studies explored the positive effects of social annotation for collaborative reading, they have seldom considered the preparation before collaboration as separate and explored how to scaffold the preparation. To improve the effectiveness of collaborative reading, we designed a pedagogy mode named IRIS, which is short for individual preparation, group reflection, intra-construction, and summarization. An interactive system is dev…
How the Quality of Annotation Influences Academic Reading
DepITCM
Although depression detection through multimodality has shown good results in previous studies. However, multi-task learning can utilize the complementary information between different tasks. Therefore, our work combines multimodal and multi-task learning to improve the accuracy of depression detection. Previous studies have mostly focused on the extraction of global features while ignoring the importance of local features. Based on the problems …
Evaluation of the Effectiveness of Government Policy Tools in Rural E-Commerce Poverty Alleviation
The rapid development of digital technology is profoundly changing the economic landscape and development path of rural areas around the world. In recent years, e-commerce, as an important part of the digital economy, has become a key fulcrum of rural poverty alleviation strategies in many countries. Governments around the world have introduced targeted policy tools in an attempt to increase farmers' income and reduce rural poverty through the de…
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…
Effectiveness of the functions of classroom orchestration systems
Evaluation of a Practice System Supporting Distributed Practice for Novice Programming Students
Programming is an important skill in the 21st century, but it is difficult for novices to learn. To help students practice and learn efficiently, the authors developed a mobile platform called Daily Quiz, which incorporated distributed practice theory. To evaluate the impact of distributed practice in programming learning facilitated by Daily Quiz, the authors conducted a between-subject experiment with 200 freshmen divided into two groups. Both …
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Evaluation of a Practice System Supporting Distributed Practice for Novice Programming Students
Programming is an important skill in the 21st century, but it is difficult for novices to learn. To help students practice and learn efficiently, the authors developed a mobile platform called Daily Quiz, which incorporated distributed practice theory. To evaluate the impact of distributed practice in programming learning facilitated by Daily Quiz, the authors conducted a between-subject experiment with 200 freshmen divided into two groups. Both …
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…
Effectiveness of the functions of classroom orchestration systems
Automatic Deductive Coding in Discourse Analysis
Deductive coding is a common discourse analysis method widely used by learning science and learning analytics researchers for understanding teaching and learning interactions. It often requires researchers to manually label all discourses to be analyzed according to a theoretically guided coding scheme, which is time-consuming and labor-intensive. The emergence of large language models such as GPT has opened a new avenue for automatic deductive c…
Preparation before collaboration matters
Although existing studies explored the positive effects of social annotation for collaborative reading, they have seldom considered the preparation before collaboration as separate and explored how to scaffold the preparation. To improve the effectiveness of collaborative reading, we designed a pedagogy mode named IRIS, which is short for individual preparation, group reflection, intra-construction, and summarization. An interactive system is dev…
How the Quality of Annotation Influences Academic Reading
DepITCM
Although depression detection through multimodality has shown good results in previous studies. However, multi-task learning can utilize the complementary information between different tasks. Therefore, our work combines multimodal and multi-task learning to improve the accuracy of depression detection. Previous studies have mostly focused on the extraction of global features while ignoring the importance of local features. Based on the problems …
Evaluation of the Effectiveness of Government Policy Tools in Rural E-Commerce Poverty Alleviation
The rapid development of digital technology is profoundly changing the economic landscape and development path of rural areas around the world. In recent years, e-commerce, as an important part of the digital economy, has become a key fulcrum of rural poverty alleviation strategies in many countries. Governments around the world have introduced targeted policy tools in an attempt to increase farmers' income and reduce rural poverty through the de…
Enhancing ocean carbon sinks through market mechanism in China
Purpose As the largest carbon reservoir on Earth, the ocean plays a vital role in addressing climate change. Market mechanisms can enhance the effectiveness of ocean carbon sinks and leverage the ocean’s potential in climate governance. To ensure a stable and effective transition of marine carbon sinks from ecological resources into ecological capital within a market framework, robust policy and legislative support is essential. This paper aims a…
Media Framing of the Suez Canal Blockage
This study conducts a comparative discourse analysis of media framing associated with the 2021 Suez Canal blockage in Chinese and American English-language press. Using a corpus-driven keyword analysis, it identifies four semantic frames, namely problem definition, causal interpretation, consequential impact, and proposed solutions. Findings reveal divergent framing strategies, with Chinese media framing the event as a manageable disruption while…
Computer Science (5 works) · Innovative Teaching and Learning Methods (4 works) · Mathematics education (4 works) · Multimedia (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Annotation (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Online and Blended Learning (2 works) · Online Learning and Analytics (2 works)