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Yun‐Fang Tu

Biographic Data

ID9116140
NAMEYun‐Fang Tu
GIVEN NAMESYun‐Fang
FAMILY NAMETu
SIGNATURETU Y F
AFFILIATIONSFu Jen Catholic University
ORCID0000-0001-6261-3003
VERIFIEDYes
TOTAL WORKS54
TOTAL CITATIONS0
AUTHOR COUNT54
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Concept mapping as a critical thinking facilitator for generative AI-supported collaborative learning

    Open Access•Shih‐Ting Chu, Shih-Ting Chu et al.•ARTICLE•Thinking Skills and Creativity•2026

  • Effects of Artificial Intelligence Feedback on Students’ Self-Regulated Learning in Higher Education

    Open Access•Changqin Huang, Ling-Nuo Lu et al.•ARTICLE•Educational Psychology Review•2026

  • AI self-efficacy and student teachers’ engagement with generative AI feedback

    Open Access•Yuchen Chen, Yun‐Fang Tu et al.•ARTICLE•Educational Psychology•2026

    Although generative artificial intelligence (GenAI) has been applied in education, little is known about how student teachers engage with GenAI feedback in reflective learning, or how AI self-efficacy shapes this process. This study integrated GenAI feedback into digital storytelling for student teachers’ professional identity reflection. It examined the reflection level, feedback adoption, and self-evaluation of DST work of student teachers with…

  • The effect of peer assessment-based collaborative concept mapping on pre-service teachers’ perceptions on smart learning environments

    Chenchen Liu, Dan Wang et al.•ARTICLE•Journal of Research on Technology…•2026

    The acceptance of smart technology is crucial in determining the effectiveness of smart teaching. Consequently, it is essential that pre-service teachers grasp the concepts of smart learning environments to better adapt to these technological changes. Research has shown that concept mapping can assist learners in organizing complex concepts, which, in turn, may enable pre-service teachers to deepen their understanding of smart learning environmen…

  • Facilitating pre-service teachers’ instructional design and higher-order thinking with generative AI

    Chenchen Liu, Dan Wang et al.•ARTICLE•Journal of Research on Technology…•2026

    The rapid development of generative artificial intelligence has created new opportunities for innovation in teacher education, dramatically changing how pre-service teachers acquire new skills and knowledge. In the information age, pre-service teachers’ information technology-enhanced instructional design competence has received widespread attention. This study introduced the generative artificial intelligence represented by ChatGPT to innovate t…

  • AI self-efficacy and knowledge graph-integrated generative AI feedback in higher education

    Open Access•Yun-Fang Tu, Yun‐Fang Tu et al.•ARTICLE•The Internet and Higher Education•2026

  • Promoting communication skills in virtual reality-based professional training contexts

    Open Access•Chenchen Liu, Dan Wang et al.•ARTICLE•Interactive Learning Environments•2026

    Nursing education emphasizes cultivating empathy and professional spirit, with communication skills as a core competency. The effectiveness of training students' communication skills often depends on the construction of the learning environment. Spherical Video-based Virtual Reality (SVVR) offers authentic experiences with low technical and financial barriers, while appropriate scaffolds can further support learners in organizing knowledge and an…

  • Realization of parasocial interaction theory in STEAM education with an AI pedagogical agent

    Jian-Wen Fang, Xiao-Ge Guo et al.•ARTICLE•Interactive Learning Environments•2026

    A pedagogical agent (PA) is a learning guidance and support tool that provides timely, personalized feedback to help students overcome learning obstacles. Grounded in parasocial interaction theory, this study developed an artificial intelligence PA (AIPA) capable of environmental perception, autonomous understanding, decision-making, and action execution. This study recruited a total of 47 participants, with 22 in the experimental group and 25 in…

  • How generative artificial intelligence supported reflective strategies promote middle school students’ conceptual knowledge learning

    Gang Yang, Yu-Die Rong et al.•ARTICLE•Interactive Learning Environments•2026

    Integrating generative artificial intelligence into the reflection process can promote the learning of conceptual knowledge. Therefore, this study proposed Generative Artificial Intelligence-Supported Reflective Strategies (GAI-RS) and explored its impact on students' conceptual knowledge learning. The participants were 83 middle school seventh-grade students (42 in the experimental group and 41 in the control group). The experimental group used …

  • Roles and impacts of generative AI agents in STEAM learning

    Open Access•Yun‐Fang Tu, Xiao-Ge Guo et al.•ARTICLE•Educational Technology Research…•2026

  • Beyond symptoms

    Open Access•Yaxin Tu, Changqin Huang et al.•ARTICLE•Computers in Human Behavior•2026

  • Effects of a human-robot collaborative teaching approach on preschoolers’ social-emotional competence and learning behaviors

    Open Access•Jian-Wen Fang, Ting-Ting Ji et al.•ARTICLE•Computers & Education•2026

  • Incremental project-based robot programming

    Open Access•Yuchen Chen, Xinli Zhang et al.•ARTICLE•Computers & Education•2026

  • Enhancing Emotional Intelligence Through Generative AI ‐Supported Digital Storytelling

    Open Access•Gwo-Jen Hwang, Yun‐Fang Tu et al.•ARTICLE•Journal of Computer Assisted…•2026

  • From realistic to idealistic online learning

    Tsui-Yuan Chang, Gwo-Jen Hwang et al.•ARTICLE•Journal of Research on Technology…•2025

    With its increasing popularity, understanding learners’ perceptions of online education has become more important. The present study employed drawing analysis to examine university students’ conceptions of online learning and how students with different self-regulation statuses conveyed their ideas through drawing. A total of 58 Taiwanese university students were recruited in the present study. In order to explore their conceptions of realistic a…

  • Conceptions of image-generative AI-supported instruction of preservice teachers with different levels of learning attitude

    Yuchen Chen, Xinli Zhang et al.•ARTICLE•Journal of Research on Technology…•2025

    This study explored 106 Chinese pre-service teachers’ (PSTs’) conceptions of image-generative artificial intelligence (image-GAI) supported instruction and how their conceptions differed by learning attitudes. The draw-a-picture technique was employed for PSTs to convey their ideas through drawings. A coding checklist with six categories was developed to code PSTs’ drawing features. Epistemic network analysis (ENA) was then utilized to visualize …

  • Exploring differences in the cognitive and metacognitive scaffolding use of high and low working memory students in block-based programming

    Yi-Pin Huang, Rida Farah et al.•ARTICLE•Journal of Research on Technology…•2025

    This study aimed to clarify how elementary school students’ programming performance could be affected by scaffolding types, and how high and low working memory students profited from the intervention. The impact of different scaffolding types was empirically scrutinized with four conditions: cognitive scaffolding, metacognitive scaffolding, a combination of cognitive and metacognitive scaffolding (mixed), or no scaffolding. Students were classifi…

  • Promoting elementary school students’ programming learning

    Yi-Pin Huang, Hoisoo Kim et al.•ARTICLE•Journal of Research on Technology…•2025

    Programming is an indispensable ability in the current era of artificial intelligence. It has become a topic of interest for educators and researchers to explore the effective instructional strategies to improve students’ programming knowledge and skills. Cognitive and metacognitive scaffolding have proven to have the potential to facilitate programming performance. However, their comparative effects on programming performance have received scant…

  • Strengthening collaborative argumentation with interactive guidance

    Zhiqiang Ma, Zhi-Qiang Ma et al.•ARTICLE•Interactive Learning Environments•2025

    Collaborative argumentation supported by argumentation mapping is important for developing college students’ argumentation ability. However, in conventional argumentation mapping-supported collaborative argumentation (AM-CA) activities, learners tend to quickly reach consensus without sufficient discussion and negotiation, or fail to spontaneously assess and integrate the group’s ideas, thus failing to develop more comprehensive and in-depth argu…

  • Promoting conceptual changes of artificial intelligence with technology-facilitated situational exploration and alternative thinking

    Xinli Zhang, Yuchen Chen et al.•ARTICLE•Interactive Learning Environments•2025

    In the artificial intelligence (AI) era, K-12 AI education has attracted great attention. With the increasing prevalence of AI, students are likely to have misconceptions about AI starting in elementary school. Hence, it is crucial to explore an effective approach to change elementary students' misconceptions and facilitate their scientific understanding of AI. The two-tier test is an effective method to diagnose students' misconceptions, but it …

  • The use of learning analytics and educational data mining to analyze teachers’ teaching in online environments

    Mu-Sheng Chen, Ting-Chia Hsu et al.•ARTICLE•Interactive Learning Environments•2025

    Learning analytics and educational data mining aim to enhance teaching and learning outcomes by utilizing data and analytical methods. Online learning systems provide a wealth of data that enable educators to understand students’ needs and offer appropriate support. This study used bibliometric analysis to examine the distribution of research subjects, educational stages, pedagogical approaches, machine learning algorithms, algorithm evaluation, …

  • Concept maps in technological contexts of higher education

    Open Access•Shih-Ting Chu, Chun-Chun Chang et al.•ARTICLE•Educational Technology Research…•2025

  • Effects of an automated corrective feedback-based peer assessment approach on students’ learning achievement, motivation, and self-regulated learning conceptions in foreign language pronunciation

    Open Access•Chenchen Liu, Chen-Chen Liu et al.•ARTICLE•Educational Technology Research…•2025

    Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners’ pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and “reflection” and “correction” are imperative stages to realize the process from “input” to “output” to improve accuracy and deepen reflectio…

  • Effects on the learning achievement, approaches to learning, and multi-stage reflection quality of students with different levels of digital self-efficacy in a data literacy course

    Open Access•Yun‐Fang Tu, Gwo-Jen Hwang et al.•ARTICLE•Computers & Education•2025

  • AI ‐Facilitated Article Revisions for Primary School Students With Writing Difficulties

    Open Access•Xinli Zhang, Ru Huang et al.•ARTICLE•Journal of Computer Assisted…•2025

Next

No prominent works on this page.

  • Roles and Research Trends of Artificial Intelligence in Mathematics Education

    Open Access•Gwo-Jen Hwang, Yun‐Fang Tu•ARTICLE•Mathematics•2021

    Learning mathematics has been considered as a great challenge for many students. The advancement of computer technologies, in particular, artificial intelligence (AI), provides an opportunity to cope with this problem by diagnosing individual students’ learning problems and providing personalized supports to maximize their learning performances in mathematics courses. However, there is a lack of reviews from diverse perspectives to help researche…

  • The role of hardiness in securities practitioners' web-based continuing learning

    Open Access•Yun-Fang Tu, Yun‐Fang Tu et al.•ARTICLE•Educational Technology Research…•2021

  • Factors influencing university teachers’ use of a mobile technology-enhanced teaching (MTT) platform

    Open Access•Kai‐Yu Tang, Chun‐Hua Hsiao et al.•ARTICLE•Educational Technology Research…•2021

  • A WSQ-based mobile peer assessment approach to enhancing university students’ vocal music skills and learning perceptions

    Open Access•Chenchen Liu, Ping Wan et al.•ARTICLE•Australasian Journal of…•2021

    Peer assessment has been regarded as an effective learning strategy in art education, such as in music, dance and art design. For music education, technology-supported peer assessment makes it easier for learners to reflect on their learning performance. However, the process of reflection needs solid and systematic theoretical knowledge. In terms of vocal music, which develops students’ singing skills, it is difficult for learners to compare thei…

  • AI in Online-Learning Research

    Open Access•Gwo-Jen Hwang, Yun-Fang Tu et al.•ARTICLE•The International Review of…•2022

    This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI) algorithms. Results indicate that, from 1997 to 2009, AIoL research focused on the combination of in…

  • Perceptions and conceptions of learning in smart healthcare technology contexts

    Chun‐Chun Chang, Gwo-Jen Hwang et al.•ARTICLE•Interactive Learning Environments•2022

    In recent years, smart healthcare technologies used to facilitate precision medicine in clinical practice have increasingly become a topic of discussion. Nurses and nurse preceptors are critical professionals in hospitals, and are also the frontline staff using smart healthcare. The purpose of this study was to investigate nurses’ and nurse preceptors’ perceptions of smart healthcare (including learning motivation, learning attitudes, and persona…

  • Did library learners benefit from m-learning strategies? Research-based evidence from a co-citation network analysis of the literature

    Open Access•Kai‐Yu Tang, Chao-Chen Chen et al.•ARTICLE•Educational Technology Research…•2022

  • Trends and exemplary practices of STEM teacher professional development programs in K-12 contexts

    Open Access•Biyun Huang, Morris Siu‐Yung Jong et al.•ARTICLE•Computers & Education•2022

  • Research issues of the top 100 cited articles on information literacy in higher education published from 2011 to 2020

    Open Access•Chao-Chen Chen, Ning-Chiao Wang et al.•ARTICLE•Australasian Journal of…•2022

    Information literacy is a core research topic in the field of library and information science. The developmental context of this field can be examined through a long-term retrospective analysis of relevant literature. This study explored the research trends and potential research issues in the top 100 most frequently cited articles on information literacy in higher education published from 2011 to 2020. In addition to a systematic review, this st…

  • Research advancement and foci of mobile technology-supported music education

    Open Access•Chenchen Liu, Gwo-Jen Hwang et al.•ARTICLE•Interactive Learning Environments•2023

  • Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments

    Chenchen Liu, Jierui Hou et al.•ARTICLE•Interactive Learning Environments•2023

    Automated writing feedback supported by artificial intelligence (AI) techniques has attracted the attention of English as Foreign Language (EFL) researchers. However, there is insufficient evidence and inconsistent conclusions on the actual impacts of AI on students’ writing skills. In addition, in the field of EFL writing, there are few studies which have integrated appropriate teaching strategies to promote the effectiveness of EFL writing teac…

  • From competition to social interaction

    Chenchen Liu, Ping Wan et al.•ARTICLE•Interactive Learning Environments•2023

    For professional development programs, students’ professional identity and learning perceptions and earning performances have been recognized as important educational objectives. Scholars have indicated that engaging students in social interactions facilitates their deep and diverse thinking, and hence to promoting their learning outcomes. However, in traditional instruction, students generally learn in an individual learning mode and hesitate to…

  • Roles, applications, and trends of concept map-supported learning

    Chun‐Chun Chang, Gwo-Jen Hwang et al.•ARTICLE•Interactive Learning Environments•2023

  • Advancements and research topics of museum-based mobile learning

    Chi-Jen Lin, Kai‐Yu Tang et al.•ARTICLE•Interactive Learning Environments•2023

    This research reviewed the publications in the Scopus database in the museum-based mobile learning field based on the technology-based learning review model from 2008 to 2019. The aim of this study was to investigate trends in the field of museum-based mobile learning from the main journals and papers, including countries and areas, participants, research methods, learning domains, the orientation of adopted sensing or location-based technologies…

  • Identifying mainstreams of contemporary digital reading research

    Kai‐Yu Tang, Yuen-Hsien Tseng et al.•ARTICLE•Interactive Learning Environments•2023

    This study conducted a systematic review to identify the mainstreams of contemporary digital reading research. We performed a co-citation network analysis to examine the streams and features of key topics in digital reading research. We also performed content analysis and used the bibliometrix R-package to map digital reading research themes and identify several trends in the field. In this study, we (a) identified three mainstreams of research w…

  • Development of the social metacognition inventory for online collaborative argumentation

    Open Access•Xiao-Li Zheng, Xin-Yan Gu et al.•ARTICLE•Educational Technology Research…•2023

  • Effects of online whiteboard-based collaborative argumentation scaffolds on group-level cognitive regulations, written argument skills and regulation patterns

    Open Access•Xiao-Li Zheng, Jun Huang et al.•ARTICLE•Computers & Education•2023

  • Conceptions of the metaverse in higher education

    Open Access•Gwo-Jen Hwang, Yun‐Fang Tu et al.•ARTICLE•Computers & Education•2023

  • Improving information discernment skills

    Chenchen Liu, Dan Wang et al.•ARTICLE•Interactive Learning Environments•2024

    Information literacy is an essential twenty-first-century skill for students. Most students face difficulty in discerning online information while searching, evaluating, and utilizing it effectively. Appropriate information evaluating framework, such as RADAR (relevance, authority, date, appearance, and reason for writing), has been recommended to enhance students' accuracy in identifying information. Research suggests that the effectiveness of t…

  • The effects of a role-play-based micro-game strategy on students’ computational thinking, learning engagement and learning motivation

    Gang Yang, Dan Zheng et al.•ARTICLE•Interactive Learning Environments•2024

    The game-based learning approach to developing students’ computational thinking (CT) current has received attention from researchers. However, the compatibility between games and instruction is often insufficient to accommodate the entertaining and educational nature of the curriculum entirely, and the benefits of game-based learning could be compromised. Therefore, this study proposed a role-playing-based micro-game strategy for developing stude…

  • Effects of an article-structure strategy-based spherical video-based virtual reality approach on EFL learners’ English reading comprehension and learning conceptions

    Chenchen Liu, Yu Guo et al.•ARTICLE•Interactive Learning Environments•2024

    Reading comprehension is critical and challenging for the English learning process. EFL (English as Foreign Language) learners often do not understand the meaning of the text due to the lack of an authentic learning context. This easily leads learners to read literally without deeply understanding. To address this issue, an article-structure strategy-based SVVR (short for ASS-SVVR) approach was proposed in the study, in which spherical video-base…

  • An empirical study on how cognitive diagnostic feedback affects primary school pupils’ learning of Chinese writing

    Gang Yang, Xiao-Qian Zheng et al.•ARTICLE•Interactive Learning Environments•2024

    In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils’ writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils’ writing ability and writing learning quality by analyzing their writing performance, epistemic network structure, and learning engagement. Thepupils are randomly divided into an experimental…

  • Roles, applications, and research designs of robots in science education

    Min-Chi Chiu, Gwo-Jen Hwang et al.•ARTICLE•Interactive Learning Environments•2024

  • An interactive technological solution to foster preservice teachers’ theoretical knowledge and instructional design skills

    Chenchen Liu, Haijie Wang et al.•ARTICLE•Interactive Learning Environments•2024

    Teachers’ instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps to achieve better instructional design. In order to address this issue, a chatbot-based 5E learning a…

  • University students’ conceptions of ChatGPT-supported learning

    Yun‐Fang Tu, Gwo-Jen Hwang•ARTICLE•Interactive Learning Environments•2024

    The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students’ viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that university students’ conceptions of ChatGPT-supported learning were diverse and interrelated. Most students…

Computer Science (34 works) · Psychology (34 works) · Mathematics education (31 works) · Innovative Teaching and Learning Methods (17 works) · Educational technology (15 works) · Educational Games and Gamification (13 works) · Artificial Intelligence (12 works) · Cognition (12 works) · Online Learning and Analytics (11 works) · Perception (11 works)

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