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151 results on '"Cheng, Yu-Ping"'

1. JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization

Author

Liu, Shang-Ching, Wang, ShengKun, Lin, Wenqi, Hsiung, Chung-Wei, Hsieh, Yi-Chen, Cheng, Yu-Ping, Luo, Sian-Hong, Chang, Tsungyao, and Zhang, Jianwei

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Databases, Statistics - Applications
Abstract

In this study, we introduce JarviX, a sophisticated data analytics framework. JarviX is designed to employ Large Language Models (LLMs) to facilitate an automated guide and execute high-precision data analyzes on tabular datasets. This framework emphasizes the significance of varying column types, capitalizing on state-of-the-art LLMs to generate concise data insight summaries, propose relevant analysis inquiries, visualize data effectively, and provide comprehensive explanations for results drawn from an extensive data analysis pipeline. Moreover, JarviX incorporates an automated machine learning (AutoML) pipeline for predictive modeling. This integration forms a comprehensive and automated optimization cycle, which proves particularly advantageous for optimizing machine configuration. The efficacy and adaptability of JarviX are substantiated through a series of practical use case studies.

Published
2023

2. Empowering Visual Programming and Motor Board Instruction in STEAM Education: Integrating Computational Thinking and Scaffolding Learning for Improving Learning Performance and Engagement of Students

Author

Cheng, Yu-Ping, Starčič, Andreja Istenič, Lin, Jim-Min, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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3. Exploring the Learning Process and Effectiveness of STEM Education via Learning Behavior Analysis and the Interactive-Constructive-Active Passive Framework

Author

Lee, Hsin-Yu, Cheng, Yu-Ping, Wang, Wei-Sheng, Lin, Chia-Ju, and Huang, Yueh-Min

Abstract

Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active, passive) framework, helping instructors to better understand the learning process of learners. The results show that SLBAS exhibits high accuracy. Moreover, Cohen's kappa coefficient between expert coding and SLBAS is high enough to support replacing expert coding in the observation method with SLBAS to recognize the learning process of learners during STEM activities. Finally, statistical analysis establishes a correlation between the learning process and learning effectiveness. The results of this study are in line with most previous studies, demonstrating that STEM education differs from traditional teacher-centered courses in that it helps learners to improve the process of knowledge construction with practice and hands-on opportunities rather than simply receiving knowledge passively.

Published
2023
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4. An Internet Articles Retrieval Agent Combined with Dynamic Associative Concept Maps to Implement Online Learning in an Artificial Intelligence Course

Author

Cheng, Yu-Ping, Cheng, Shu-Chen, and Huang, Yueh-Min

Abstract

Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study developed an Internet articles retrieval agent combined with dynamic associative concept maps (DACMs). The system used text mining technology to analyze keywords to filter computer science articles. In previous research, concept maps were manually constructed; in this study, such maps can be automatically and dynamically generated in real time. In a case study of a fundamental course of artificial intelligence, this study designed two experiments to compare students' learning behaviors while using this system and the Google search engine. The results of the first experiment showed that the experimental group searched for more knowledge articles on computer science using this agent, compared to the control group using the Google search engine. The learning performance of the experimental group was significantly better than that of the control group, while the cognitive load of the experimental group was significantly lower than that of the control group. Furthermore, the results of the second experiment showed that the learning progress of students using the agent was significantly greater than that of students who used the Google search engine. This illustrates that the agent effectively filtered computer science articles, and DACMs helped students gain a deeper understanding of academic concepts and knowledge related to artificial intelligence.

Published
2022

5. Impact of Anxiety and Confidence in Virtual Reality-Mediated Learning Transferred to Hands-On Tasks

Author

Wang, Wei-Sheng, Cheng, Yu-Ping, Lee, Hsin-Yu, Lin, Chia-Ju, and Huang, Yueh-Min

Abstract

Background: Benefited from advances in technology, virtual reality (VR) has been widely applied to learning content in operational training as well as hands-on courses. However, most current studies tend to evaluate learning effectiveness in this application, and few were focused on how learners can be benefited from transferring the knowledge learned to real-world field performance. Moreover, in application-oriented hands-on courses such as embedded electronic circuits, to our best knowledge, none were presented in interactive learning materials with the combination of VR and neither were the understanding of the changes in cognition, learning anxiety, and learning confidence during the learning process. Method and Objective: We combine VR technology with hands-on tasks to design a VR-based embedded electronic circuit learning system. We conduct a quasi-experiment to investigate differences in knowledge, comprehension, and application levels in different learning environments, and to assess learning performance, learning anxiety, and learning confidence levels when applying the knowledge learned to real-world hands-on tasks. Results: Groups that receive VR-mediated training exhibit superior knowledge, comprehension, and application levels. In addition, learners with higher levels of knowledge and application exhibit lower learning anxiety and higher learning confidence during practical application tasks. Conclusions: We investigate the learning outcomes of learners on practical hands-on tasks after VR-mediated learning. To improve the learning experience and performance for learners in an embedded electronic circuit course, we discuss the learning performance in terms of the knowledge and concepts learned in the VR environment and transferred to the real world. The results show that learners achieve better cognitive levels in the learning process through the VR system described here. Better performance on hands-on tasks was also obtained as well as low anxiety and high confidence levels.

Published
2023
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6. Solving the Self-regulated Learning Problem: Exploring the Performance of ChatGPT in Mathematics

Author

Li, Pin-Hui, Lee, Hsin-Yu, Cheng, Yu-Ping, Starčič, Andreja Istenič, Huang, Yueh-Min, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Yueh-Min, editor, and Rocha, Tânia, editor

Published
2023
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7. Applying Computational Thinking and Formative Assessment to Enhance the Learning Performance of Students in Virtual Programming Language

Author

Cheng, Yu-Ping, Cheng, Shu-Chen, Yang, Ming, Lin, Jim-Min, Huang, Yueh-Min, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Yueh-Min, editor, and Rocha, Tânia, editor

Published
2023
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9. Using Immersive Virtual Reality to Explore the Learning Performance and Cognitive Load of Students in STEAM Electronic Circuits Learning

Author

Cheng, Yu-Ping, Lai, Chin-Feng, Cheng, Shu-Chen, Huang, Yueh-Min, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Yueh-Min, editor, Cheng, Shu-Chen, editor, Barroso, João, editor, and Sandnes, Frode Eika, editor

Published
2022
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10. Combining Flipped Learning and Formative Assessment to Enhance the Learning Performance of Students in Programming

Author

Cheng, Shu-Chen, Cheng, Yu-Ping, Huang, Yueh-Min, Yang, Yeongwook, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Yueh-Min, editor, Lai, Chin-Feng, editor, and Rocha, Tânia, editor

Published
2021
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11. Constructing an Information Search Platform Using Data Mining to Improve Student Learning

Author

Cheng, Shu-Chen, Cheng, Yu-Ping, Huang, Yueh-Min, Chiang, I. Robert, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Tien-Chi, editor, Wu, Ting-Ting, editor, Barroso, João, editor, Sandnes, Frode Eika, editor, Martins, Paulo, editor, and Huang, Yueh-Min, editor

Published
2020
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12. Exploring the Correlation Between Attention and Cognitive Load of Students When Attending Different Classes

Author

Cheng, Shu-Chen, Cheng, Yu-Ping, Huang, Chien-Hao, Huang, Yueh-Min, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wu, Ting-Ting, editor, Huang, Yueh-Min, editor, Shadiev, Rustam, editor, Lin, Lin, editor, and Starčič, Andreja Istenič, editor

Published
2018
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16. The Construction of Taiwan's Educational Indicator Systems: Experiences and Implications

Author

Chien, Maw-Fa, Lee, Chi-Ming, and Cheng, Yu-Ping

Abstract

This study was designed to illuminate the state of education in Taiwan by constructing Educational Indicator Systems. The study, sponsored by the National Science Council between 1998 and 2000, was the first comprehensive indicator project to cover all educational levels in Taiwan. Various research methods were used, including panel discussion, conference, setting up website, Delphi technique, questionnaires and visits to 14 international organizations and government agencies. In the process, two educational indicator systems based upon the "Context-Input-Process-Progress" (CIPP) model were formulated: "Taiwan's Educational Indicator System by educational level" (TEIS by el) with 99 indicators, and "Significant Indicators of Taiwan's Education" (SITE) with 34 indicators. Finally, some limitations and suggestions were offered for the future development of Educational Indicator Systems.

Published
2007
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25. Quality changes of pork during frozen storage: comparison of immersion solution freezing and air blast freezing.

Author

Hou, Qin, Cheng, Yu‐ping, Kang, Da‐cheng, Zhang, Wan‐gang, and Zhou, Guang‐hong

Subjects
*FREEZING, *SULFHYDRYL group, *PORK, *SHEARING force, *BLASTING
Abstract

Summary: This study evaluated the effects of freezing method and storage time on the quality changes of pork longissimus thoracis (LT). The results showed that, compared to air blast freezing (AF), better microstructure was observed in pork under immersion solution freezing (ISF) mainly due to higher freezing rate. ISF group had significantly lower thawing loss at 1, 31 and 91 days and higher shear force at 1 day than AF (P < 0.05). A significant reduction in TBARS value at 61 and 91 days was observed in ISF samples (P < 0.05). No significant differences were observed between the two treatments in the colour, cooking loss and sulfhydryl groups (P > 0.05). All quality indicators were significantly affected by storage time (P < 0.05). It is concluded that ISF could maintain better microstructure, improve water‐holding capacity and inhibit lipid oxidation during pork LT frozen storage. [ABSTRACT FROM AUTHOR]

Published
2020
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33. High expression of Midkine (MK) indicates poor prognosis in childhood acute lymphoblastic leukemia.

Author

Jia, Ming, Zhao, Hai-Zhao, Cheng, Yu-Ping, Luo, Ze-Bin, Zhang, Jing-Ying, Li, Si-Si, Xu, Xiao-Jun, and Tang, Yong-Min

Subjects
PROGNOSIS, LYMPHOBLASTIC leukemia, POLYMERASE chain reaction, TUMORS, CANCER remission
Abstract

Objectives:Midkine (MK)expression has been reported to be correlated with the poor prognosis of patients with various tumors. However, there are no data available about the prognostic value ofMKexpression in childhood acute lymphoblastic leukemia (ALL). Methods: In this study,MKmRNA expression was determined by real-time polymerase chain reaction in 120 childhood ALL and 30 healthy volunteers. Patients were dichotomized at the median value and divided into two groups:MKlowgroup andMKhighgroup. Results:MKhighpatients had higher white blood cell counts, higher peripheral blood blasts percentages, and higher minimal residual disease levels thanMKlowpatients. Moreover, theMKgene was expressed significantly higher in patients with relapsed ALL than in patients who maintained complete remission or at diagnosis.MKhighpatients harbored inferior relapse-free survival (RFS,P = 0.047) and overall survival (OS,P = 0.022) thanMKlowpatients, and high expression ofMKwas found to be independently predictive of inferior OS (P = 0.032) but not RFS (P = 0.077) in the overall cohort. Conclusion and discussion:MKhigh expression is an independent adverse prognostic factor in childhood ALL. Its level may be incorporated into an improved risk classification system for ALL and suggest the need of alternative regimens. [ABSTRACT FROM AUTHOR]

Published
2016
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37. Bridging STEM Education and Ubiquitous Learning: A Case Study on Developing a LINE Chatbot with Google's Gemini for Virtual Peer Collaboration

Author

Lee, Hsin-Yu, Huang, Yueh-Min, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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38. Leveraging OpenAI API for Developing a Monopoly Game-Inspired Educational Tool Fostering Collaborative Learning and Self-efficacy

Author

Lu, Chun-Yi, Chen, Ihao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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40. AI in Teacher Education: An Introductory Training Session for Pre-service Teachers Involving Microsoft Copilot

Author

Siiman, Leo A., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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41. Designing Social Robots for Learning: HRI Participatory Design Workshop

Author

Baksh, Farnaz, Zorec, Matevž, Kruusamäe, Karl, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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42. Enhancing Engagement and Motivation in English Writing Through AI: The Impact of ChatGPT-Supported Collaborative Learning

Author

Suciati, Sri, Silitonga, Lusia Maryani, Wiyaka, Huang, Chen-Yuan, Anggara, Ali Akbar, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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43. GAI-Assisted Personal Discussion Process Analysis

Author

Chen, Mu-Sheng, Hsu, Tai-Ping, Hsu, Ting-Chia, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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44. Use of Taxonomy in Planning Teaching Activities in Higher Education

Author

Andersen, Synnøve Thomassen, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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45. The Empirical Research on the Impact of Applying VR Technology to Students’ Skill Learning in Machining Processing Courses on Questionnaire Evaluation

Author

Chen, Dyi-Cheng, Hou, Jui-Chuan, Zheng, Quan-De, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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46. Enhancing Python Learning Through Retrieval-Augmented Generation: A Theoretical and Applied Innovation in Generative AI Education

Author

Ko, Hsing-Tzu, Liu, Yen-Ku, Tsai, Yun-Cheng, Suen, Summit, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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47. Bridging Literature and Code: Empowering Students to Explore Digital Humanities Through Generative AI

Author

Tsai, Yun-Cheng, Chen, Shih-Pei, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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48. Immersive Learning Environments: Fostering Self-directed Learning in Junior High School Students Through Virtual Tours

Author

Shadiev, Rustam, Shadiev, Narzikul, Fayziev, Mirzaali, Altınay, Fahriye, Kerimbayev, Nurassyl, Gayevskaya, Elena, Baigunissova, Gulbarshin, Beisembayeva, Zhanargul, Amrenova, Assel, Tadjibaeva, Aygul, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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49. Applying the POEC Teaching Strategy to Virtual Reality Teaching Activities: A Case Study

Author

Cheng, Bo-Yuan, Lin, Chia-Ching, Shih, Ru-Chu, Lu, Mei-Hui, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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50. The Impact of Integrating AI Chatbots and Microlearning into Flipped Classrooms: Enhancing Students’ Motivation and Higher-Order Thinking Skills

Author

Silitonga, Lusia Maryani, Wiyaka, Suciati, Sri, Prastikawati, Entika Fani, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cheng, Yu-Ping, editor, Pedaste, Margus, editor, Bardone, Emanuele, editor, and Huang, Yueh-Min, editor

Published
2024
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