Peng He
Datos Biográficos
| ID | 4018915 |
|---|---|
| NOMBRE | Peng He |
| NOMBRES | Peng |
| APELLIDO | He |
| FIRMA | HE P |
| AFILIACIONES | Washington State University |
| ORCID | 0000-0001-7312-984X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 28 |
| TOTAL DE CITAS | 7 |
| TOTAL COMO AUTOR | 28 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2011 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Acquisition and Retention of Nature of Science Understandings
Latent profiles of resilience in chemistry
This study examined changes in senior high school students’ chemistry performance over a semester and how these changes varied based on their academic resilience in chemistry. Participants were 684 first-year senior high school students from 14 schools. Latent profile analysis revealed three distinct profiles: low (19.152%), moderate (64.766%), and high (16.082%) levels of academic resilience in chemistry. Subsequently, a two-way repeated measure…
Assessing Chemistry Teachers’ Understanding of Electrochemistry
Modeling impact
Translanguaging as parental discourse strategies
Using a translanguaging lens, this qualitative study explored the micro-linguistic home language practices of multilingual South Asian families in Hong Kong. Our interview data revealed that all South Asian parents adopt a pragmatic view of language, recognising Chinese and English as valuable communicative and socio-economic resources, while some also uphold multilingualism, encouraging their children to maintain heritage language(s). A discours…
Development and validation of an instrument to investigate secondary school students' desire to engage in scientific inquiry
The psychological desire of students to engage in scientific inquiry is crucial for students' scientific literacy development. This study aims to develop and validate a new instrument to measure Students' Desire to Engage in Scientific Inquiry (SDESI). Drawing on the three psychological needs of self-determination theory (competence, autonomy, and relatedness) and the three inquiry activities of investigation, explanation, and evaluation, we crea…
Chinese Grades 1–9 Students’ Views of the Nature of Science
Enhancing urban sustainability
Green infrastructure (GI) is a vital strategy for climate change adaptation and urban sustainability, yet integrating its multifunctionality remains significantly challenging. This study develops a sustainability-oriented optimization framework for GI systems, incorporating emergy analysis, multi-objective optimization, and regional climate models. It highlights a sound cross-domain assessment and addresses real-world challenges such as limited d…
The hurricane was gritando ’
A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks
An evolutionary model based on Lotka-Volterra equations for the symbiotic evolution of Macao’s diversified industrial ecosystem
Measuring high school student engagement in science learning
This study validated an instrument for measuring student engagement in the context of Chinese science curriculum reforms. We adapted existing items from well-designed instruments with the context of science learning and formed the initial instrument of the Student Engagement in Science Learning (SESL) consisting of 20 items in four subscales, including cognitive, emotional, behavioural, and agentic engagement. We recruited an expert panel to prov…
Reframing Chemical Thinking Through the Lens of Disciplinary Essential Questions and Perspectives for Teaching and Learning Chemistry
Traditional uses, botany, phytochemistry, and pharmacology of Lonicerae japonicae flos and Lonicerae flos
Diagnosing middle school students’ proficiency in constructing scientific explanations with the integration of chemical reactions and patterns
Dynamic evolution of urban resilience and its coupling mechanism with EF3D-driven natural capital utilization
Cereal–forage rotation facilitates the colonization of particular rhizobacteria to improve crop productivity
Cereal–forage rotation is a crucial advantageous agricultural measure to accelerate sustainable agricultural development. However, the interaction mechanisms of crop productivity with soil characteristics and soil microbiome under this rotation regime remain controversial, leading to large uncertainties in assessing the stability of agroecosystems. The aim of this study is to investigate the effects of cereal–forage rotation on the rhizosphere mi…
Can we and should we use artificial intelligence for formative assessment in science
In this commentary, we respond to the recent article Applying machine learning to automatically assess scientific models by Zhai et al. (2022).The authors present automated assessment as a solution to the problem of limited time for assessment in middle school science classrooms.Drawing from our collective expertise in science assessment, machine learning (ML), artificial intelligence (AI), and culturally relevant and linguistically responsive pe…
Predicting student science achievement using post‐unit assessment performances in a coherent high school chemistry project‐based learning system
Student science proficiency development demands sustainable and coherent learning environment support. Scholars argue that project‐based learning (PBL) is an efficient approach to promoting student science learning, compared to conventional instructions. Yet, few studies have delved into the learning process to explore how a coherent PBL system consisting of curriculum, instruction, assessment, and professional learning promotes student learning.…
The Network Structures and Characteristics of Global Hubs of STI in Big Data Analysis and Mining Technology
Global hubs of STI are strategic nodes in the global science network and will lead the future of global scientific progress. This paper takes big data analysis and mining technology as an example, exploring the structures and characteristics of global science network of 15 representative global hubs of STI from 2000 to 2019. Based on the data of highly cited papers and methods of social network analysis, we find that the global science network ha…
Applying machine learning to automatically assess scientific models
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student‐developed models is time‐ and cost‐intensive, remaining one of the most challenging assessment practices for science education. More importantly, teachers who rely on timely feedback to plan and adj…
How and when intragroup relationship conflict leads to knowledge hiding
Purpose Although studies have demonstrated that knowledge hiding is an important inhibitor of organizational innovation, current research does not clearly address how intragroup relationship conflict influences knowledge hiding. This study aims to identify the underlying mechanism between intra-group relationship conflict and knowledge hiding. Design/methodology/approach Drawing on affective events theory (AET), the authors propose a theoretical …
Microbial metabolomics and network analysis reveal fungistatic effect of basil (Ocimum basilicum) oil on Candida albicans
Evolutionary analysis of sustainable tourism
Improvement in the neural stem cell proliferation in rats treated with modified “Shengyu” decoction may contribute to the neurorestoration
The difference of Chinese legalism and western legalism
Why and when do people hide knowledge?
Purpose The purpose of this paper is to examine why and when employees hide knowledge. Individuals may tend to hide knowledge when they have strong psychological ownership feelings over knowledge. Therefore, this research builds and tests a theoretical model linking knowledge‐based psychological ownership with knowledge hiding via territoriality. Design/methodology/approach Data were collected from knowledge workers in China via a three‐wave web‐…
The neuroprotective effect of modified “Shengyu” decoction is mediated through an anti-inflammatory mechanism in the rat after traumatic brain injury
Improvement in the neural stem cell proliferation in rats treated with modified “Shengyu” decoction may contribute to the neurorestoration
Evolutionary analysis of sustainable tourism
Microbial metabolomics and network analysis reveal fungistatic effect of basil (Ocimum basilicum) oil on Candida albicans
How and when intragroup relationship conflict leads to knowledge hiding
Purpose Although studies have demonstrated that knowledge hiding is an important inhibitor of organizational innovation, current research does not clearly address how intragroup relationship conflict influences knowledge hiding. This study aims to identify the underlying mechanism between intra-group relationship conflict and knowledge hiding. Design/methodology/approach Drawing on affective events theory (AET), the authors propose a theoretical …
Applying machine learning to automatically assess scientific models
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student‐developed models is time‐ and cost‐intensive, remaining one of the most challenging assessment practices for science education. More importantly, teachers who rely on timely feedback to plan and adj…
Cereal–forage rotation facilitates the colonization of particular rhizobacteria to improve crop productivity
Cereal–forage rotation is a crucial advantageous agricultural measure to accelerate sustainable agricultural development. However, the interaction mechanisms of crop productivity with soil characteristics and soil microbiome under this rotation regime remain controversial, leading to large uncertainties in assessing the stability of agroecosystems. The aim of this study is to investigate the effects of cereal–forage rotation on the rhizosphere mi…
Can we and should we use artificial intelligence for formative assessment in science
In this commentary, we respond to the recent article Applying machine learning to automatically assess scientific models by Zhai et al. (2022).The authors present automated assessment as a solution to the problem of limited time for assessment in middle school science classrooms.Drawing from our collective expertise in science assessment, machine learning (ML), artificial intelligence (AI), and culturally relevant and linguistically responsive pe…
Predicting student science achievement using post‐unit assessment performances in a coherent high school chemistry project‐based learning system
Student science proficiency development demands sustainable and coherent learning environment support. Scholars argue that project‐based learning (PBL) is an efficient approach to promoting student science learning, compared to conventional instructions. Yet, few studies have delved into the learning process to explore how a coherent PBL system consisting of curriculum, instruction, assessment, and professional learning promotes student learning.…
The Network Structures and Characteristics of Global Hubs of STI in Big Data Analysis and Mining Technology
Global hubs of STI are strategic nodes in the global science network and will lead the future of global scientific progress. This paper takes big data analysis and mining technology as an example, exploring the structures and characteristics of global science network of 15 representative global hubs of STI from 2000 to 2019. Based on the data of highly cited papers and methods of social network analysis, we find that the global science network ha…
Measuring high school student engagement in science learning
This study validated an instrument for measuring student engagement in the context of Chinese science curriculum reforms. We adapted existing items from well-designed instruments with the context of science learning and formed the initial instrument of the Student Engagement in Science Learning (SESL) consisting of 20 items in four subscales, including cognitive, emotional, behavioural, and agentic engagement. We recruited an expert panel to prov…
Reframing Chemical Thinking Through the Lens of Disciplinary Essential Questions and Perspectives for Teaching and Learning Chemistry
Traditional uses, botany, phytochemistry, and pharmacology of Lonicerae japonicae flos and Lonicerae flos
Diagnosing middle school students’ proficiency in constructing scientific explanations with the integration of chemical reactions and patterns
Dynamic evolution of urban resilience and its coupling mechanism with EF3D-driven natural capital utilization
Development and validation of an instrument to investigate secondary school students' desire to engage in scientific inquiry
The psychological desire of students to engage in scientific inquiry is crucial for students' scientific literacy development. This study aims to develop and validate a new instrument to measure Students' Desire to Engage in Scientific Inquiry (SDESI). Drawing on the three psychological needs of self-determination theory (competence, autonomy, and relatedness) and the three inquiry activities of investigation, explanation, and evaluation, we crea…
Chinese Grades 1–9 Students’ Views of the Nature of Science
Enhancing urban sustainability
Green infrastructure (GI) is a vital strategy for climate change adaptation and urban sustainability, yet integrating its multifunctionality remains significantly challenging. This study develops a sustainability-oriented optimization framework for GI systems, incorporating emergy analysis, multi-objective optimization, and regional climate models. It highlights a sound cross-domain assessment and addresses real-world challenges such as limited d…
The hurricane was gritando ’
A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks
An evolutionary model based on Lotka-Volterra equations for the symbiotic evolution of Macao’s diversified industrial ecosystem
Acquisition and Retention of Nature of Science Understandings
Latent profiles of resilience in chemistry
This study examined changes in senior high school students’ chemistry performance over a semester and how these changes varied based on their academic resilience in chemistry. Participants were 684 first-year senior high school students from 14 schools. Latent profile analysis revealed three distinct profiles: low (19.152%), moderate (64.766%), and high (16.082%) levels of academic resilience in chemistry. Subsequently, a two-way repeated measure…
Psychology (10 obras) · Mathematics education (8 obras) · Computer Science (7 obras) · Science Education and Pedagogy (7 obras) · Biology (5 obras) · Ecology (5 obras) · Educational Strategies and Epistemologies (5 obras) · Science education (5 obras) · Business (4 obras) · Engineering (4 obras)