Wenchao Ma
Biographic Data
| ID | 6271926 |
|---|---|
| NAME | Wenchao Ma |
| GIVEN NAMES | Wenchao |
| FAMILY NAME | Ma |
| SIGNATURE | MA W |
| AFFILIATIONS | University of Alabama |
| ORCID | 0000-0002-6763-0707 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A full-process global inventory of plastic emissions for treaty implementation
Engaging students of color in physiological computing with insights from eye-tracking
Computing involving physiological data such as heart rate and electrodermal activity has been used as a way to enrich K-12 students’ computing learning experiences. This study explored a novel way to engage elementary students of color as “developers” through a series of physiological computing lessons during a summer learning program. Learners used real-time physiological data (i.e. muscle energy) as computer inputs to build computer programs. T…
Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science
Perceived Stress and Society-Wide Moral Judgment
This study examines the relationship between perceived stress and society-wide moral judgment by integrating two influential frameworks: the neo-Kohlbergian approach and the CNI model of utilitarian-deontological decision-making. The neo-Kohlbergian approach to moral judgment proposes three moral schemas: (1) Personal Interest (PI), where decisions are self-focused; (2) Maintaining Norms (MN), which emphasizes adherence to social rules and norms;…
Strategies and examples for applying reflexivity in qualitative research
Purpose This paper, written by a research team that is working with justice-involved youth across the USA, begins by explaining our interest in and commitment to reflexivity as a concept and practice. Then, we offer an overview of what reflexivity is – and is not, as well as why reflexivity is critically important to qualitative inquiry. Finally, in an effort to extend extant literature on the topic of reflexivity, we provide specific examples fr…
Exploring the greenhouse gas emissions inventory and driving mechanisms of municipal solid waste in China
The Development of a Podcast Motivations Scale for Taiwan
The current study examined motivations for podcast listeners in Taiwan by constructing a preliminary podcast motivations scale. Theoretically grounded in uses and gratifications, the current research drew upon extant work in podcast motivations and proposed a new scale as we look to podcast engagement in a Taiwanese context, considering the global marketplace of podcast popularity. As podcasts have emerged as a popular form of entertainment in Ta…
Development of a computerized adaptive testing for ADHD using Bayesian networks
A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data
Most existing cognitive diagnosis models (CDMs) assume attributes are binary latent variables, which may be oversimplified in practice. This article introduces a higher-order CDM with ordinal attributes for dichotomous response data. The proposed model can either incorporate domain experts' knowledge or learn from the data empirically by regularizing model parameters. A sequential item response model was employed for joint attribute distribution …
A Study on the Impact of Institutional Pressure on Carbon Information Disclosure
Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China's A-share listed companies from 2014 to 2018 as the research sample, we study the impact of external explicit institutional pressure and implicit institutional pressure on corporate carbon information disclosure and analyze the mediating effect o…
A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data
Most existing cognitive diagnosis models (CDMs) assume attributes are binary latent variables, which may be oversimplified in practice. This article introduces a higher-order CDM with ordinal attributes for dichotomous response data. The proposed model can either incorporate domain experts' knowledge or learn from the data empirically by regularizing model parameters. A sequential item response model was employed for joint attribute distribution …
A Study on the Impact of Institutional Pressure on Carbon Information Disclosure
Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China's A-share listed companies from 2014 to 2018 as the research sample, we study the impact of external explicit institutional pressure and implicit institutional pressure on corporate carbon information disclosure and analyze the mediating effect o…
The Development of a Podcast Motivations Scale for Taiwan
The current study examined motivations for podcast listeners in Taiwan by constructing a preliminary podcast motivations scale. Theoretically grounded in uses and gratifications, the current research drew upon extant work in podcast motivations and proposed a new scale as we look to podcast engagement in a Taiwanese context, considering the global marketplace of podcast popularity. As podcasts have emerged as a popular form of entertainment in Ta…
Development of a computerized adaptive testing for ADHD using Bayesian networks
Exploring the greenhouse gas emissions inventory and driving mechanisms of municipal solid waste in China
Engaging students of color in physiological computing with insights from eye-tracking
Computing involving physiological data such as heart rate and electrodermal activity has been used as a way to enrich K-12 students’ computing learning experiences. This study explored a novel way to engage elementary students of color as “developers” through a series of physiological computing lessons during a summer learning program. Learners used real-time physiological data (i.e. muscle energy) as computer inputs to build computer programs. T…
Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science
Perceived Stress and Society-Wide Moral Judgment
This study examines the relationship between perceived stress and society-wide moral judgment by integrating two influential frameworks: the neo-Kohlbergian approach and the CNI model of utilitarian-deontological decision-making. The neo-Kohlbergian approach to moral judgment proposes three moral schemas: (1) Personal Interest (PI), where decisions are self-focused; (2) Maintaining Norms (MN), which emphasizes adherence to social rules and norms;…
Strategies and examples for applying reflexivity in qualitative research
Purpose This paper, written by a research team that is working with justice-involved youth across the USA, begins by explaining our interest in and commitment to reflexivity as a concept and practice. Then, we offer an overview of what reflexivity is – and is not, as well as why reflexivity is critically important to qualitative inquiry. Finally, in an effort to extend extant literature on the topic of reflexivity, we provide specific examples fr…
A full-process global inventory of plastic emissions for treaty implementation
Psychology (7 works) · Computer Science (6 works) · Social Psychology (4 works) · Artificial Intelligence (2 works) · Business (2 works) · Cognition (2 works) · Epistemology (2 works) · Greenhouse gas (2 works) · Machine learning (2 works) · Mathematics (2 works)