AI-assisted learning, Mathematics education, Teacher education, Educational psychology from southwest university, China
Chen Jihe is a dynamic and emerging scholar currently pursuing his Ph.D. at Southwest University. His research spans multiple critical areas in education, including AI-assisted learning, mathematics education, teacher education, and educational psychology. Through a multidisciplinary lens, Chen explores how technological tools and psychological theories intersect to enhance teaching practices and student learning outcomes. His scholarly work demonstrates a strong commitment to educational innovation and reform, particularly in the integration of artificial intelligence into traditional learning environments. Chen has published extensively in high-impact journals such as Education and Information Technologies, Thinking Skills and Creativity, Sustainability, and Psychology in the Schools. These contributions highlight his ability to address complex educational challenges through rigorous research. His work not only contributes to theoretical advancements but also offers practical solutions to educators and policy-makers. As an early-career researcher, Chen has already built an impressive academic foundation, showcasing a promising trajectory toward becoming a thought leader in the field. With a balanced focus on research quality, practical relevance, and interdisciplinary collaboration, he stands out as a noteworthy candidate for scholarly recognition. His dedication and achievements position him as a strong contender for prestigious research awards and academic honors.
Professional Profile
Education
Chen Jihe is currently enrolled as a Ph.D. candidate at Southwest University, one of China’s leading institutions known for its strength in teacher education and psychological studies. His doctoral program focuses on educational psychology, with a specialization in AI-assisted learning and mathematics education. Through his studies, Chen has developed a strong theoretical foundation in cognitive science, learning theories, and instructional design. In addition to coursework, his academic training has involved intensive research engagements, collaborative projects with faculty, and participation in academic conferences. These experiences have refined his analytical and methodological skills, particularly in designing and conducting research that addresses real-world educational challenges. Prior to his doctoral studies, Chen likely completed undergraduate and master’s degrees in education or psychology-related fields, though this information was not explicitly provided. Regardless, his current academic pursuits demonstrate a deep commitment to academic excellence and continuous learning. His educational background supports his research focus on integrating technology with pedagogy to improve educational practices. The rigorous training and research exposure he receives at Southwest University continue to shape his development as a scholar, enabling him to make substantial contributions to both the academic community and the broader educational landscape.
Professional Experience
As a Ph.D. candidate, Chen Jihe has built a strong academic portfolio primarily through his research engagements and scholarly contributions. While specific teaching or administrative roles are not mentioned, his involvement in high-level academic research projects suggests a proactive approach to professional development. Chen’s experience likely includes serving as a research assistant on faculty-led projects at Southwest University, where he would have engaged in literature reviews, data collection and analysis, and co-authorship of publications. His frequent publication in respected journals indicates a high level of professional competence, including experience with peer-review processes and academic writing. Additionally, he may have participated in educational workshops, presented papers at academic conferences, and collaborated with faculty and peers on interdisciplinary projects. These professional experiences have provided him with a broad understanding of the research ecosystem, including ethical research practices, project management, and academic networking. Although still in the early stages of his career, Chen’s achievements suggest he is well-prepared for future roles as a researcher, educator, or academic leader. His hands-on experience with complex educational topics and technologies equips him to contribute meaningfully to the advancement of teaching and learning in diverse educational contexts.
Research Interests
Chen Jihe’s research interests lie at the intersection of technology, pedagogy, and psychology. His primary focus areas include AI-assisted learning, mathematics education, teacher education, and educational psychology. These interconnected domains allow him to explore how innovative technologies can enhance teaching practices and learning experiences. Specifically, he investigates how artificial intelligence tools can be integrated into the classroom to personalize instruction, increase student engagement, and improve academic outcomes. In mathematics education, he explores effective teaching strategies that foster critical thinking and problem-solving skills. His work in teacher education emphasizes the importance of preparing future educators to adapt to digital learning environments and psychological principles of learning. Additionally, his interest in educational psychology enables him to understand the cognitive and emotional factors that influence student motivation and academic performance. Through these diverse yet cohesive interests, Chen contributes to the development of holistic educational models that are both scientifically grounded and practically relevant. His research bridges theoretical knowledge and classroom application, ensuring that his findings have real-world value. This multifaceted approach not only enriches the field of education but also positions Chen as a thought leader capable of shaping future educational trends.
Research Skills
Chen Jihe has cultivated a robust set of research skills through his academic training and scholarly work. His expertise spans both quantitative and qualitative methodologies, enabling him to design, execute, and analyze complex educational studies. He is proficient in statistical software such as SPSS and R, which he uses to conduct advanced data analysis, including regression, ANOVA, and structural equation modeling. These tools are essential for validating findings and drawing meaningful conclusions in empirical research. Additionally, Chen is skilled in qualitative techniques such as thematic analysis, coding, and case study design, which allow him to capture the nuanced experiences of teachers and learners. His experience with AI-assisted learning systems gives him a technical edge, allowing him to evaluate and implement digital tools effectively in educational settings. He is also adept at academic writing, having successfully published multiple peer-reviewed articles in respected journals. These publications demonstrate his ability to communicate complex ideas clearly and persuasively. Chen’s skills in literature review, critical thinking, and scholarly synthesis further enhance his capacity to identify research gaps and propose innovative solutions. Together, these competencies make him a versatile and capable researcher, well-equipped to tackle diverse challenges in modern education.
Awards and Honors
While specific awards and honors have not been explicitly listed, Chen Jihe’s publication record and research output suggest a high level of scholarly recognition within academic circles. Being published in prominent journals such as Education and Information Technologies, Thinking Skills and Creativity, Sustainability, and Psychology in the Schools is, in itself, a testament to the quality and impact of his research. These journals are known for their rigorous peer-review standards and global readership, indicating that Chen’s work meets the highest academic benchmarks. He may have also received internal recognitions from Southwest University, such as research grants, fellowships, or student excellence awards, which are common forms of acknowledgment for outstanding Ph.D. candidates. Participation in academic conferences and workshops may have led to best paper awards or invitations to present at specialized symposiums. His growing academic footprint and interdisciplinary contributions make him a likely candidate for future honors, including national and international research awards. As his career progresses, continued publication and collaboration will likely bring further accolades. His current achievements already demonstrate the hallmarks of an award-winning scholar, paving the way for more formal recognitions of his research excellence.
Conclusion
Chen Jihe exemplifies the qualities of a forward-thinking and impactful educational researcher. With a strong academic background, clearly defined research interests, and a consistent publication record, he is contributing meaningfully to areas critical to 21st-century education. His focus on AI-assisted learning, mathematics education, and educational psychology reflects a keen understanding of current educational needs and future directions. His methodological versatility and analytical rigor allow him to address complex educational challenges with precision and clarity. Though still early in his academic journey, Chen’s accomplishments suggest a trajectory marked by innovation, relevance, and academic integrity. He stands out for his ability to bridge theory and practice, offering insights that are both research-driven and applicable in educational settings. While increased international collaboration and further recognition through formal awards would enhance his profile, his existing contributions are substantial. Chen Jihe is not only a promising scholar but also a valuable contributor to the global academic community. His profile aligns well with the criteria for the Best Scholar Award in Research, and with continued dedication, he is poised to emerge as a leading voice in educational research and innovation.
Publications Top Notes
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Title: The More Anxious, the More Dependent? The Impact of Math Anxiety on AI‐Assisted Problem‐Solving
Authors: Feng Chen, Jihe Chen, Yanying Xu
Year: 2025
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Title: Factors affecting teachers’ use of digital resources for teaching mathematical cultures: An extended UTAUT-2 model
Authors: Jinhai Liu, Qin Dai, Jihe Chen
Year: 2024
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Title: Effects of a problem posing instructional interventions on student learning outcomes: A three-level meta-analysis
Authors: Cheng Zhang, Ying Zhou, Tommy Tanu Wijaya, Jihe Chen, Yimin Ning
Year: 2024
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Title: Applying Machine Learning and SHAP Method to Identify Key Influences on Middle-School Students’ Mathematics Literacy Performance
Authors: Ying Huang, Ying Zhou, Jihe Chen, Danyan Wu
Year: 2024
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Title: Development and validation of Mathematical Higher‐Order Thinking Scale for high school students
Authors: Ying Zhou, Yimin Ning, Jihe Chen, Wenjun Zhang, Tommy T. Wijaya
Year: 2024
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Title: Development and validation of a higher-order thinking skills assessment scale for pre-service teachers
Authors: Ying Zhou, Lijuan Gan, Jihe Chen, Tommy Tanu Wijaya, Yingzong Li
Year: 2023
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Title: Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysis
Authors: Jihe Chen, Ying Zhou, Litian Lv
Year: 2023
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Title: Is a triangle 180 degrees? Using relevant material to explore elementary school students’ reasoning ability
Authors: Chen Jihe, Jihe Chen, Ying Zhou, Tommy Tanu Wijaya, Maximus Tamur
Year: 2021
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Title: The Impact of University Facilities on Pre-Service Mathematics Teacher’s interest in Learning (A Case Study at Guangxi Normal University)
Authors: Chen Jihe, Chen Jihe, Zhou Ying, Jerito Pereira, Tommy Tanu Wijaya, Neni Hermita, Maximus Tamur
Year: 2021