Article
Computer Science, Artificial Intelligence
Victoria Ruiz-Parrado, Ruben Heradio, Ernesto Aranda-Escolastico, Angel Sanchez, Jose F. Velez
Summary: This paper reviews the literature on off-line handwritten document analysis over the past thirty years and uses bibliometric techniques to analyze the characteristics of the literature, including the most influential articles, the most productive authors, the leading countries and institutions in research, the journals and conferences that publish the most papers, and the evolution of research topics.
PATTERN RECOGNITION
(2022)
Article
Multidisciplinary Sciences
Attila Varga
Summary: The study examines the concentration trend of scholarly literature citations and its impact on the circulation of scientific ideas. The findings reveal that citations are increasingly concentrated on a small number of papers over time. The future importance of a paper is largely determined by its past citation performance. The results suggest that the growing heterogeneity of citation impact restricts the dissemination of research articles.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Information Systems
Yi Bu, Wei Lu, Yifei Wu, Hongkan Chen, Yong Huang
Summary: The study focuses on understanding the width of citation impact of scientific publications through ego-centered citation networks. It finds that as the number of citations of publications rises, the number and size of connected components also increase, with differences observed in Arts and Humanities publications compared to other disciplines, Natural Sciences showing greater values. These findings have implications on research assessment practices and literature searching.
INFORMATION PROCESSING & MANAGEMENT
(2021)
Article
Psychology, Clinical
Li-Chung Lin, Grace Yao
Summary: This study examined the factor structure of the WHOQOL-BREF and validated the theoretically designed four-factor model using a meta-analysis approach. The findings have significant implications for enhancing understanding of the questionnaire and promoting its international applicability and comparability.
PSYCHOLOGICAL ASSESSMENT
(2022)
Article
Business
Weishu Liu
Summary: The study by Fosso Wamba and his colleagues used publications from Web of Science Core Collection to investigate the structure and dynamics of AI scholarship, revealing 1991 as a watershed year. The low availability rates of certain information in WoSCC appear to explain the watershed phenomenon of AI scholarship in 1991, with implications for other fields as well. Additionally, caveats for using WoSCC in old literature retrieval and historical bibliometric analysis were discussed to avoid improper interpretation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Review
Mathematics, Interdisciplinary Applications
Isaiah Persson, Jam Khojasteh
Summary: This article reviews EFA modules in Python packages such as statsmodels, FactorAnalyzer, and scikit-learn, discussing their official documentation, features, and performance on an applied example.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2021)
Review
Green & Sustainable Science & Technology
Astrid Kainzbauer, Parisa Rungruang, Philip Hallinger
Summary: This study reviewed key documents in the field of S-HRM and identified an emerging global knowledge base, emphasizing the significant role of environmental issues in S-HRM literature. The authors recommend a greater focus on the contributions of HRM to the human and social aspects of sustainability.
Article
Computer Science, Interdisciplinary Applications
Daria Maltseva, Vladimir Batagelj
Summary: This study analyzed the publication dynamics of social network analysis (SNA) articles, identifying the most prominent SNA journals and their relationships. The field is shown to be growing, with an average of approximately 3 SNA papers published per journal annually. Journals in social and natural sciences dominate the field, with sociology and management journals representing the social sciences group, while physics and computer science journals also contribute significantly.
Article
Computer Science, Interdisciplinary Applications
Adilson Vital, Diego R. Amancio
Summary: Understanding the evolution of paper and author citations is crucial for research policies and evaluation criteria. This study compares different measurements and machine learning models for predicting future links in author citation networks, finding that the Jaccard coefficient is among the most relevant measurements and the preferential attachment measurement performs poorly. The extension of local measurements to their weighted version does not significantly improve performance. Using a combination of XGBoost and neural network methods yields the highest performance.
Article
Business
Ramphul Ohlan, Anshu Ohlan
Summary: The smart home research has experienced significant growth worldwide, with China emerging as a global leader and the USA making notable contributions. The study highlights the increasing impact of smart home research and the prevalence of collaborative publications.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Review
Environmental Sciences
Natalia Ueda Yamaguchi, Eduarda Gameleira Bernardino, Maria Eliana Camargo Ferreira, Bruna Pietroski de Lima, Mauro Renato Pascotini, Mirian Ueda Yamaguchi
Summary: Research on SDG is rapidly growing and diversifying, with a trend towards consolidation in various research areas. However, there are still research gaps in areas such as reducing inequalities, gender equality, oceans and marine environments, and peace and justice, which require further investigation in the future.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Ivan Heibi, Silvio Peroni
Summary: This study analyzes the open citations of a highly cited retracted paper, showing a continuous increase in citations over the past 20 years, with a growing number of citing articles acknowledging the retraction, especially in the social sciences field. Medical studies have shown a strong negative stance towards the retracted paper, providing clear statements on its retraction.
Article
Multidisciplinary Sciences
Thomas Donoghue, Bradley Voytek
Summary: Event-related potentials (ERPs) are a common method for studying the neural basis of cognition and disease. An automated text-mining approach was used for meta-analysis to examine relationships between ERP terms, cognitive domains, and clinical disorders. The project aims to create data-driven profiles for each ERP, analyze key associations of each component, compare similarities across components, and ultimately characterize patterns and associations between topics and components.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Jiamin Wang, Qikai Cheng, Wei Lu, Yongxiang Dou, Pengcheng Li
Summary: This study proposes a term function-aware keyword citation network to address the lack of consideration for semantic roles of keywords in existing research. By identifying research questions and methods and constructing a question-method term citation network, the superiority of this network in science mapping analysis is validated. The evaluation results show that the term function identification model based on BERT achieves a score of 0.90 F1, and the question-method term citation network outperforms existing keyword citation methods in revealing association patterns between scientific knowledge and improving the interpretability of the computing field's knowledge structure. We believe that this work expands the methodology of keyword citation network and science mapping analysis and provides guidance for considering term function in various scenarios.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Review
Psychology, Multidisciplinary
Alessandro Carollo, Mengyu Lim, Vahid Aryadoust, Gianluca Esposito
Summary: The study utilized a scientometric approach to examine synchrony, coordination, and attunement in social processes, identifying major clusters of interest in studying attunement at various levels of analysis. New hyperscanning paradigms offer opportunities for researchers to explore the role of biobehavioral synchrony in social processes. Future potential pathways of research in this area were also discussed.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Education & Educational Research
Kun-Hung Cheng, Kai-Yu Tang, Chin-Chung Tsai
Summary: This study provides a citation-based review of the networking structure of VR-supported education research, identifying the mainstream research direction and revealing growth trends in the field.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2022)
Article
Education & Educational Research
Patrice Potvin, Jean-Philippe Ayotte-Beaudet, Abdelkrim Hasni, Jonathan Smith, Michael Giamellaro, Tzung-Jin Lin, Chin-Chung Tsai
Summary: This article reports on an international initiative to develop and validate a situational interest questionnaire in three different cultural and linguistic contexts. Through confirmatory factor analysis and alpha coefficient validation, the questionnaire displayed good psychometric properties and covered the situational interest construct more comprehensively than other surveys. The article also discusses the possible uses of the questionnaire and the stability of situational interest items.
RESEARCH IN SCIENCE EDUCATION
(2023)
Article
Multidisciplinary Sciences
Kai-Yu Tang, Chun-Hua Hsiao, Gwo-Jen Hwang
Summary: This paper presents a citation-based method for exploring the scholarly network of AI-related research in the IS domain from GN and GS perspectives. The study analyzes publication patterns, influential articles, and keywords, and visualizes the scholarly networks between GN and GS researchers. The findings reveal the intellectual structure of AI research and its applications in the IS literature.
Review
Education & Educational Research
Henry Matovu, Dewi Ayu Kencana Ungu, Mihye Won, Chin-Chung Tsai, David F. Treagust, Mauro Mocerino, Roy Tasker
Summary: This study reviewed 64 studies on the use of immersive virtual reality (IVR) in science education. It found that educators commonly adopted IVR to aid visualization of abstract concepts and enhance the learning experience. However, IVR applications tended to focus on sensory and actional features, neglecting narrative and social features. Learning theories did not play a strong role in the design, implementation, and evaluation of IVR-based learning.
STUDIES IN SCIENCE EDUCATION
(2023)
Article
Environmental Sciences
Anbang Zhao, Keren Wang, Juan Hui, Caigao Zeng, Kaiyu Tang
Summary: A deconvolved subband peak energy detection method is proposed in this paper to improve the underwater target detection performance of towed arrays and suppress false peaks. The effectiveness of the proposed method is validated through simulations and experimental results.
Article
Education & Educational Research
Henry Matovu, Mihye Won, David Franklin Treagust, Mauro Mocerino, Dewi Ayu Kencana Ungu, Chin-Chung Tsai, Roy Tasker
Summary: Recent studies have found a growing trend of using student-generated diagrams for science teaching and research. However, many educators tend to use diagrams to explore students' perceptions of scientists and their work rather than explore conceptual understanding of abstract concepts. This study used diagrams to investigate students' conceptual understanding of hydrogen bonds in snowflakes and found that student-generated diagrams can provide a powerful way to understand students' conceptions of abstract science concepts.
CHEMISTRY EDUCATION RESEARCH AND PRACTICE
(2023)
Article
Education & Educational Research
Henry Matovu, Mihye Won, David Franklin Treagust, Dewi Ayu Kencana Ungu, Mauro Mocerino, Chin-Chung Tsai, Roy Tasker
Summary: In recent years, chemistry educators have been using immersive virtual reality (IVR) technology to help students visualize molecular interactions. However, most educational studies on IVR have focused on its usability and user perceptions, neglecting its impact on improving conceptual understanding. This study used interviews and diagram-drawing tasks to explore how students' conceptual understanding of hydrogen bonds and snowflake shapes changed through a collaborative IVR experience. The results showed a significant improvement in students' understanding of the nature of hydrogen bonds in snowflakes. This study suggests that collaborative IVR can effectively help students visualize molecular interactions and develop a more coherent understanding.
CHEMISTRY EDUCATION RESEARCH AND PRACTICE
(2023)
Review
Computer Science, Interdisciplinary Applications
Hung-Ming Lin, Jiun-Yu Wu, Jyh-Chong Liang, Yuan-Hsuan Lee, Pin-Chi Huang, Oi-Man Kwok, Chin-Chung Tsai
Summary: Improving e-learning involves complex research designs and multilevel modeling techniques to capture learners' perceptions, comprehension, and behavior. A review of 76 studies in major e-learning journals revealed that two-level models and random-intercept models are commonly used. Most studies included students as sampling units of analysis in Level 1 and used cognitive learning as the dependent variable. Based on the review results, suggestions and potential applications of multilevel modeling in e-learning studies are provided.
COMPUTERS & EDUCATION
(2023)
Review
Computer Science, Interdisciplinary Applications
Mihye Won, Dewi Ayu Kencana Ungu, Henry Matovu, David F. Treagust, Chin-Chung Tsai, Jungho Park, Mauro Mocerino, Roy Tasker
Summary: This systematic literature review investigates the design of learning in immersive Virtual Reality in contemporary educational studies. It identifies nine design features and analyzes 219 empirical studies on the designs of learning activities with immersive Virtual Reality. The review highlights the diversity in learning task designs and recommends future research to recognize and investigate different approaches and priorities in designing and evaluating learning with immersive Virtual Reality.
COMPUTERS & EDUCATION
(2023)
Article
Education & Educational Research
Ying-Shao Hsu, Kai-Yu Tang, Tzu-Chiang Lin
Summary: This study examined research trends in STEM education using descriptive analysis and co-word analysis. A total of 761 articles published in Social Science Citation Index journals from 2011 to 2020 were selected for analysis. The findings revealed a growing number of STEM-related publications after 2016. Gender played a moderating role in STEM learning and career selection. Higher education was crucial for training a STEM workforce to meet societal demands. The study indicated a shift in focus towards professional development of teachers in STEM education. The article includes discussions and potential research directions in the field.
SCIENCE & EDUCATION
(2023)
Review
Education & Educational Research
Kai-Yu Tang, Yuen-Hsien Tseng, Yun-Fang Tu
Summary: This study conducted a systematic review of contemporary digital reading research, using co-citation network analysis and content analysis to identify key topics, trends, and features. The study identified three mainstreams of digital reading research, namely differences between print books and e-books in reading comprehension, adolescents' habits and preferences in digital reading and their digital reading literacy, and analysis of reading behaviors and use of interactive learning books. Most studies employed quantitative or mixed methods, focusing on evaluation through tests and questionnaires, and did not explore specific application domains or learning strategies. Affective aspects, cognition, learning behavior, and causation were the main focuses of research on digital reading. Key research topics in digital reading included engagement, digital media, and digital literacy. The study provides directions for future research and digital reading education.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Education & Educational Research
Kai-Yu Tang, Tzu-Chiang Lin, Ying-Shao Hsu
Summary: This study identified recent trends in socioscientific issues in the field of education and analyzed the co-occurring relationships among keywords. It is of great importance for educators and provides future research directions.
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION
(2023)
Review
Education & Educational Research
Kai-Yu Tang, Ching-Yi Chang, Gwo-Jen Hwang
Summary: This study reviews the application of artificial intelligence in e-learning and analyzes publication patterns, research focuses, and research directions. The majority of studies in this field are centered around the development and application of intelligent tutoring systems, as well as using AI to enhance assessment and evaluation in e-learning contexts. The visualized network diagram provides researchers with a better understanding of the relationships among core research papers and suggests future research directions.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Education & Educational Research
Xuesong Zhai, Xiaoyan Chu, Nanxi Meng, Minjuan Wang, Michael Spector, Chin-Chung Tsai, Hui Liu
Summary: This study aimed to investigate the effect of stimulated recall on activating learners' metacognition in remote settings using multi-mode stimuli. The results showed that stimulated recall with multi-mode stimuli significantly improved learners' metacognitive skills. These findings are important for enriching metacognition strategies in cognitive theories of multimedia learning and extending the implementation of stimulated recall in distance learning.
EDUCATIONAL TECHNOLOGY & SOCIETY
(2022)
Article
Education & Educational Research
Xi Bei Xiong, Chai Ching Sing, Chin-Chung Tsai, Jyh-Chong Liang
Summary: This study examines the differences in perceived TPACK among pre-service teachers based on different clusters of their epistemic beliefs. The results show that pre-service teachers in the Positivist and Partial Constructivist clusters have stronger perceptions of their TPACK compared to those in the Constructivist cluster. This suggests that a nuanced approach is required to develop pre-service teachers' TPACK based on their epistemic profiles.
EDUCATIONAL STUDIES
(2022)
