Yu-Sheng Su
Biographic Data
| ID | 7917254 |
|---|---|
| NAME | Yu-Sheng Su |
| GIVEN NAMES | Yu-Sheng |
| FAMILY NAME | Su |
| SIGNATURE | SU Y |
| AFFILIATIONS | National Chung Cheng University |
| ORCID | 0000-0002-1531-3363 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating a ChatGPT-enhanced error feedback system with epistemic network analysis to explore students’ learning programming behaviors
With technology advancements, programming education has become increasingly important. As students often face difficulties understanding compiler error messages while learning programming, we developed a programming assistance system including a ChatGPT-enhanced error feedback (CEF) mechanism. CEF provides detailed and easily understandable error feedback, and is integrated with a LINE chatbot to offer students accessible guidance. Its impact was…
The effect of learning computational thinking skills through educational board games on students’ cognitive styles, cognitive behaviors, and learning effectiveness
The Impact of Switching Intention of Teachers’ Online Teaching in the Covid-19 Era
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing the implementation of online learning, encouraging most teachers to use it. Exploring the potential of…
Virtual reality trends and challenges in teacher education
Applying virtual reality (VR) in teacher education has gradually become a trend. To better foster teacher professional development (TPD), further clarification is needed regarding the details and challenges of implementing VR training programs. Therefore, we reviewed 60 studies published from 2010 to 2024, extracting information on VR in teacher education regarding implementation details, specifics of TPD facilitation, and associated challenges. …
The effects of different metacognitive patterns on students' self-regulated learning in blended learning
Artificial Intelligence Can Recognize Whether a Job Applicant Is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers
Whether an interviewee’s honest and deceptive responses can be detected by the signals of facial expressions in videos has been debated and called to be researched. We developed deep learningmodels enabled by computer vision to extract the temporal patterns of job applicants’ facial expressions and head movements to identify self-reported honest and deceptive impression management (IM) tactics from video frames in real asynchronous video intervie…
Critical analysis of the technological affordances, challenges and future directions of Generative AI in education
Constructing a Computational Thinking Evaluation Framework for Pupils
Research Purpose and Contribution: The study aimed to construct an evaluation framework for assessing pupils’ computational thinking (CT) during classroom learning problem solving. As a self-report evaluation scale for pupils, this evaluation framework further enriched the CT assessment instruments for pupils and provided a specialized instrument for experts to evaluate pupils’ CT in problem-solving situations during classroom learning. Backgroun…
Effects of Online Self-Regulated Learning on Learning Ineffectiveness in the Context of Covid-19
Within the COVID-19 pandemic and the new normal period, online learning has become one of the main options for learning. Previous studies on self-regulated learning have shown that it was a better predictor of online learning effectiveness. However, this discussion has not been extended to the situation of the COVID-19 pandemic. To address this gap, this study aims to explore the relationship between the three stages of self-regulated learning (S…
Effect of different mind mapping approaches on primary school students’ computational thinking skills during visual programming learning
Impact of Parents’ Attitudes on Learning Ineffectiveness
Parents play a key role in children's home-based online learning. This study constructed a mediating model to explore the mechanism of parents' attitudes toward online learning (PATOL) and the perceived online learning ineffectiveness (POLI) of their children and to investigate the mediating effect of parents' self-efficacy (PSE) on PATOL and POLI. Valid questionnaire data from 18,170 middle school parents were collected by snowball sampling. The…
Predicting Heavy Metal Concentrations in Shallow Aquifer Systems Based on Low-Cost Physiochemical Parameters Using Machine Learning Techniques
Monitoring ex-situ water parameters, namely heavy metals, needs time and laboratory work for water sampling and analytical processes, which can retard the response to ongoing pollution events. Previous studies have successfully applied fast modeling techniques such as artificial intelligence algorithms to predict heavy metals. However, neither low-cost feature predictability nor explainability assessments have been considered in the modeling proc…
The Impact of Teacher Competence in Online Teaching on Perceived Online Learning Outcomes during the Covid-19 Outbreak
During the COVID-19 pandemic, teachers had to conduct online classes because of the breakdown of school learning. Teacher competence has a great impact on the students' learning outcomes in online learning. Teacher resilience is also important to help teachers survive and achieve a high level of well-being in emergency situations. Previous studies have explored the protective and risk factors of teacher resilience, among which teacher competence …
Safe Sexual Behavior Intentions among College Students
Sexual health education is an essential part of quality-oriented education for college students. It aims to help these students to acquire knowledge of sexual physiology, sexual psychology, and sexual social norms that is consistent with the maturity of the students. Along with college students'attitudes toward sex, their perceptions regarding sexual behavior have also undergone profound changes. The importance of safe sexual behavior, sexual tab…
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Safe Sexual Behavior Intentions among College Students
Sexual health education is an essential part of quality-oriented education for college students. It aims to help these students to acquire knowledge of sexual physiology, sexual psychology, and sexual social norms that is consistent with the maturity of the students. Along with college students'attitudes toward sex, their perceptions regarding sexual behavior have also undergone profound changes. The importance of safe sexual behavior, sexual tab…
Effects of Online Self-Regulated Learning on Learning Ineffectiveness in the Context of Covid-19
Within the COVID-19 pandemic and the new normal period, online learning has become one of the main options for learning. Previous studies on self-regulated learning have shown that it was a better predictor of online learning effectiveness. However, this discussion has not been extended to the situation of the COVID-19 pandemic. To address this gap, this study aims to explore the relationship between the three stages of self-regulated learning (S…
Effect of different mind mapping approaches on primary school students’ computational thinking skills during visual programming learning
Impact of Parents’ Attitudes on Learning Ineffectiveness
Parents play a key role in children's home-based online learning. This study constructed a mediating model to explore the mechanism of parents' attitudes toward online learning (PATOL) and the perceived online learning ineffectiveness (POLI) of their children and to investigate the mediating effect of parents' self-efficacy (PSE) on PATOL and POLI. Valid questionnaire data from 18,170 middle school parents were collected by snowball sampling. The…
Predicting Heavy Metal Concentrations in Shallow Aquifer Systems Based on Low-Cost Physiochemical Parameters Using Machine Learning Techniques
Monitoring ex-situ water parameters, namely heavy metals, needs time and laboratory work for water sampling and analytical processes, which can retard the response to ongoing pollution events. Previous studies have successfully applied fast modeling techniques such as artificial intelligence algorithms to predict heavy metals. However, neither low-cost feature predictability nor explainability assessments have been considered in the modeling proc…
The Impact of Teacher Competence in Online Teaching on Perceived Online Learning Outcomes during the Covid-19 Outbreak
During the COVID-19 pandemic, teachers had to conduct online classes because of the breakdown of school learning. Teacher competence has a great impact on the students' learning outcomes in online learning. Teacher resilience is also important to help teachers survive and achieve a high level of well-being in emergency situations. Previous studies have explored the protective and risk factors of teacher resilience, among which teacher competence …
Artificial Intelligence Can Recognize Whether a Job Applicant Is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers
Whether an interviewee’s honest and deceptive responses can be detected by the signals of facial expressions in videos has been debated and called to be researched. We developed deep learningmodels enabled by computer vision to extract the temporal patterns of job applicants’ facial expressions and head movements to identify self-reported honest and deceptive impression management (IM) tactics from video frames in real asynchronous video intervie…
Critical analysis of the technological affordances, challenges and future directions of Generative AI in education
Constructing a Computational Thinking Evaluation Framework for Pupils
Research Purpose and Contribution: The study aimed to construct an evaluation framework for assessing pupils’ computational thinking (CT) during classroom learning problem solving. As a self-report evaluation scale for pupils, this evaluation framework further enriched the CT assessment instruments for pupils and provided a specialized instrument for experts to evaluate pupils’ CT in problem-solving situations during classroom learning. Backgroun…
The effect of learning computational thinking skills through educational board games on students’ cognitive styles, cognitive behaviors, and learning effectiveness
The Impact of Switching Intention of Teachers’ Online Teaching in the Covid-19 Era
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing the implementation of online learning, encouraging most teachers to use it. Exploring the potential of…
Virtual reality trends and challenges in teacher education
Applying virtual reality (VR) in teacher education has gradually become a trend. To better foster teacher professional development (TPD), further clarification is needed regarding the details and challenges of implementing VR training programs. Therefore, we reviewed 60 studies published from 2010 to 2024, extracting information on VR in teacher education regarding implementation details, specifics of TPD facilitation, and associated challenges. …
The effects of different metacognitive patterns on students' self-regulated learning in blended learning
Integrating a ChatGPT-enhanced error feedback system with epistemic network analysis to explore students’ learning programming behaviors
With technology advancements, programming education has become increasingly important. As students often face difficulties understanding compiler error messages while learning programming, we developed a programming assistance system including a ChatGPT-enhanced error feedback (CEF) mechanism. CEF provides detailed and easily understandable error feedback, and is integrated with a LINE chatbot to offer students accessible guidance. Its impact was…
Computer Science (10 works) · Psychology (10 works) · Mathematics education (7 works) · Medicine (5 works) · Multimedia (5 works) · Educational technology (4 works) · Online learning (4 works) · Social Psychology (4 works) · Artificial Intelligence (3 works) · Cognitive psychology (3 works)