Cover
Issue:2026 - Vol. 4 - Iss.1
Published:-
Articles:13 articles
Journal of Education Reform and Innovation
JOERAI
The journal aims to providing a platform for researchers, educators, scholars and scientists to publish original research results, exchange new ideas, and disseminate information on innovative designs and educational models. Especially, it is necessary to discuss how to improve the level of teaching technology guidance in order to develop a new model and method of educational skills in the information age. Applied research in education reform and innovation, reflecting the intention of research trends, exchanging t… More
2026 Vol.4 Iss.1 (13 articles)
Cover
Letter
202601faceandback
JOERAI 2026, 4(1), 0-0;
Letter
Copyright
JOERAI 2026, 4(1), 0-0;
Letter
Contents202601
JOERAI 2026, 4(1), 0-0;
Research Paper
Exploration on Teaching Reform for the"Database Principles and Applications" Course Based on CDIO-OBE Concept
Abstract: Aiming at the problems existing in the traditional teaching of "Principles and Applications of Database Systems" for software engineering majors in private application-oriented undergraduate universities—such as overemphasis on theory while neglecting practice, significant differences in students' foundational knowledge, and a single evaluation method—this study integrated the CDIO (Conceive-Design-Implement-Operate) engineering education model with the OBE (Outcome-Based Education) concept, and implemented a syste…
Keywords: CDIO; OBE; Database Principles; Applications; Teaching Reform; Diversified Assessment.
JOERAI 2026, 4(1), 1-9;
https://doi.org/10.58244/joerai.263696
Research Paper
A Case Study on Integrating Professional Ethics into General Artificial Intelligence Education Empowered by AIGC
Abstract: To address the theory-practice gap in ethics instruction within artificial intelligence (AI) general education, this action research study developed a three-layer pedagogical model—"Problem Orientation, Implementation, and Value Shaping"—enhanced by AI technology. Centered on the core case study, "My Professional Assistant," and supported by complementary cases, the model was implemented over one semester. A mixed-methods approach, comprising pre- and post-test questionnaires, content analysis of student deliverabl…
Keywords: AI General Education; AIGC; Professional Ethics; Action Research; Mixed Methods; Value Internalization
JOERAI 2026, 4(1), 10-15;
https://doi.org/10.58244/joerai.263697
Research Paper
Undergraduate Graduation Design Practice in Computer Science and Technology
Abstract: This paper takes the undergraduate graduation design of the Computer Science and Technology major as the research object, and fully records the entire process of the project "Design and Implementation of a Rapid Goods Recognition System for Cabinets Based on Deep Learning" from initiation to implementation. It focuses on analyzing the key actions and core gains in the stages of topic selection and decision-making, technical preparation, engineering practice, and reflection and summary. In the topic selection stage…
Keywords: Undergraduate Graduation; Deep Learning; Cabinet Goods Recognition; Server Configuration; YOLOv7 Model
JOERAI 2026, 4(1), 16-25;
https://doi.org/10.58244/joerai.263698
Research Paper
Research on the Path to Enhance Blended Teaching Quality in Software Engineering under the OBE Concept
Abstract: In response to the urgent demand for high-calibre, multidisciplinary software engineering professionals arising from the development of new engineering disciplines, and to address critical bottlenecks in traditional software engineering education—such as the disconnect between theory and practice and insufficient student agency—this research endeavours to establish a systematic, quantifiable blended teaching quality enhancement strategy. Guided by the logic of Outcome-Based Education (OBE), this paper undertakes a…
Keywords: Outcomes-Based Education; Software Engineering; Project-Based Learning; Blended Learning; Teaching Quality Evaluation
JOERAI 2026, 4(1), 26-33;
https://doi.org/10.58244/joerai.263699
Research Paper
AIGC-Empowered Efficient Personalized Lesson Preparation System
Abstract: To address the increasing demand for personalized instruction in education and ameliorate the time-consuming and inflexible nature of traditional lesson planning, this paper presents the development and evaluation of an intelligent, AI-based lesson preparation tool. The system integrates Large Language Models (LLMs), including the Langchain-Chatchat framework, ChatGLM3, and ERNIE-3.5-8K, with the objective of significantly enhancing both the efficiency of teacher preparation and the quality of instruction. The tool…
Keywords: Educational Technology; Artificial Intelligence; Intelligent Teaching Resources; Teaching Efficiency
JOERAI 2026, 4(1), 34-42;
https://doi.org/10.58244/joerai.263700
Research Paper
AI-Driven Case Teaching in College Political Education
Abstract: With the rapid development of artificial intelligence, large language models (LL Ms) are increasingly applied in education. Ideological and political theory courses in universities, which are crucial for moral education, face challenges such as outdated cases, weak interaction, and uniform content. This study explores the intelligent generation of cases and interactive teaching empowered by LL Ms, proposing a “triad” paradigm: intelligent generation, multi-dimensional interaction, and value guidance. An ELM-based c…
Keywords: Large Language Model; Ideological; Political Course; Case Teaching; Intelligent Generation; Interactive Teaching; AI+Education
JOERAI 2026, 4(1), 43-50;
https://doi.org/10.58244/joerai.263701
Research Paper
Artificial intelligence will empower education in 2025
Abstract: 2025 marks a pivotal preparatory phase preceding the explosive growth of artificial intelligence(AI)technology.Its integration into education is driving systemic transformation from"standardized instruction"to"personalized enhancement".This paper examines key annual advancements in AI-powered education,focusing on three core domainsintelligent teaching agents, edge-based educational AI hardware,and AI governance frameworks.Research findings reveal a global educational AI ecosystem characterized by both competition…
Keywords: AI Education; Intelligent Teaching Agents; Edge AI Education; AI Governance In Education; Personalized Learning
JOERAI 2026, 4(1), 51-60;
https://doi.org/10.58244/joerai.263702
Research Paper
On the Learning Path of Zhu Guangqian's Psychology of Literature and Art
Abstract: Zhu Guangqian's Psychology of Literature and Art is a key text in the construction of modern aesthetics in China. This book systematically analyzes the aesthetic experience and its manifestations in literary and artistic activities from the perspective of psychology, which embodies a distinct research orientation of "proceeding from empirical facts" in methodology, and theoretically completes the selective absorption of modern western aesthetics and the integration of China's traditional aesthetic experience. Becau…
Keywords: Zhu Guangqian; Literary psychology; Aesthetic experience; Learning path; Modern aesthetics
JOERAI 2026, 4(1), 61-70;
https://doi.org/10.58244/joerai.263703
Research Paper
The Frontier of Autonomy: A Comprehensive Analysis of Advanced Artificial Intelligence and Agentic Systems
Abstract: The field of Artificial Intelligence (AI) is at a critical inflection point, transitioning from narrow, task-specific models to Advanced Artificial Intelligence systems characterized by autonomy, agency, and complex goal-directed behavior. This comprehensive research paper provides an in-depth analysis of this paradigm shift, focusing on Agentic AI as the primary driver toward Artificial General Intelligence (AGI). We detail the foundational architectures, including the Transformer model and the critical role of Fo…
Keywords: Scientific Discovery; Enterprise Applications; Multi-Agent Collaboration; Artificial Intelligence; Multi-Agent Collaboration
JOERAI 2026, 4(1), 71-80;
https://doi.org/10.58244/joerai.263704
Research Paper
Implementation and Evaluation of Lightweight Deep Learning Models for Real-Time Underwater Image Enhancement: A Comprehensive Review
Abstract: Underwater optical imaging faces significant challenges due to wavelength-dependent light absorption, scattering, and color distortion, which degrade image quality and hinder marine exploration applications. Traditional enhancement methods often lack adaptability to diverse underwater conditions, while conventional deep learning approaches impose prohibitive computational demands for real-time deployment on resource-constrained platforms. This comprehensive review systematically examines the state-of-the-art in lig…
Keywords: nderwater Image Enhancement; Lightweight Deep Learning; Real-Time Processing; Model Compression; Autonomous Underwater Vehicles (AUVs); Computational Efficiency; Edge Computing; Edge AI
JOERAI 2026, 4(1), 81-95;
https://doi.org/10.58244/joerai.263705
