Frontiers in Educational Innovation and Research

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ISSN: 3068-5664
Frontiers in Educational Innovation and Research is a peer-reviewed, open-access journal dedicated to advancing the theory, practice, and research in the field of educational innovation.
DOI Prefix: 10.62762/FEIR

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Recent Articles

Open Access | Research Article | 30 December 2025
Case Library Teaching Research on the Integration of Ideological and Political Education and Digitalization
Frontiers in Educational Innovation and Research | Volume 1, Issue 3: 110-115, 2025 | DOI: 10.62762/FEIR.2025.461424
Abstract
Engineering ethics holds a crucial position in the cultivation of new engineering talents, as it fosters essential values of integrity, responsibility, and sustainability that guide their professional conduct and decision-making processes throughout their careers. In response to persistent challenges within contemporary curricula, such as the inadequate integration of ideological and political education elements and the being outdated of teaching models, this research strategically employs landmark national infrastructure projects, namely, the Hong Kong-Zhuhai-Macao Bridge and the Sichuan-Tibet Railway, as comprehensive case studies. It delves deeply into the ideological and political dimens... More >
Open Access | Research Article | 29 December 2025
Reconstruction of Data Structures Course Teaching Model for Smart Agriculture Talent Cultivation: Integrated Practice of Value Shaping and Capability Development
Frontiers in Educational Innovation and Research | Volume 1, Issue 3: 100-109, 2025 | DOI: 10.62762/FEIR.2025.323427
Abstract
In response to the current imbalance phenomenon of "emphasizing skills while neglecting values" in programming practice teaching oriented toward smart agriculture, this study employs the Data Structures course as a vehicle. It applies Checkland's Soft Systems Methodology (SSM) to construct a three-dimensional integrated teaching objective system of "knowledge transfer–capability cultivation–value shaping." Through systematic reconstruction of seven teaching modules centered on linear lists, trees, graphs, sorting, and searching, the teaching objectives are transformed from mere knowledge acquisition to an organic integration of knowledge, capability, and value objectives. In the value di... More >

Graphical Abstract
Reconstruction of Data Structures Course Teaching Model for Smart Agriculture Talent Cultivation: Integrated Practice of Value Shaping and Capability Development
Open Access | Research Article | 26 December 2025
English Major Graduate Students’ Perceptions of Different Writing Feedback Styles and Their Relationship with Academic Writing Self-Efficacy
Frontiers in Educational Innovation and Research | Volume 1, Issue 3: 92-99, 2025 | DOI: 10.62762/FEIR.2025.331227
Abstract
With the application of AI in both learning and teaching, this study investigates English major graduate students’ perceptions of corrective and suggestive feedback provided by AI, and the relationship between their perceptions and academic writing self-efficacy. Through a questionnaire survey of 37 graduate students, descriptive statistics and Pearson correlation analysis revealed that students held positive attitudes toward both types of feedback, believing they helped improve grammatical accuracy, enhance confidence in expressing complex ideas, and stimulate writing creativity; there is a strong positive correlation between the perceptions of the two types of feedback, and self-efficacy... More >
Open Access | Research Article | 25 December 2025
Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models
Frontiers in Educational Innovation and Research | Volume 1, Issue 3: 81-91, 2025 | DOI: 10.62762/FEIR.2025.722615
Abstract
The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curriculum content and teaching methods inadequate for meeting the talent development requirements of the new era. This paper thoroughly examines the profound impact of the widespread adoption of AI technologies on the curriculum system and proposes a systematic reform framework centered on "AI empowerment, competency orientation, and student-centered approaches." By integrating AI tools into the course,... More >

Graphical Abstract
Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models
Open Access | Research Article | 12 October 2025
A Multidimensional Analysis of Social Responsibility Among Nursing College Students: A Perspective Based on Educational Environment and Personal Traits
Frontiers in Educational Innovation and Research | Volume 1, Issue 3: 71-80, 2025 | DOI: 10.62762/FEIR.2025.201639
Abstract
This paper investigated the level of social responsibility and the factors influencing it among 602 nursing college students in a three-year senior high school in Quanzhou City, Fujian Province. Data were collected through a structured questionnaire and analysed using independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis, and it was found that the sense of social responsibility was significantly and positively correlated with professional satisfaction, nursing professionalism and sociability. Factors such as grade level and volunteer experience also influenced social responsibility. The study provides data support for nursing education and suggests way... More >
Open Access | Review Article | 23 September 2025
Research on the Reform Path of Nursing Talent Training Model for Health Care
Frontiers in Educational Innovation and Research | Volume 1, Issue 2: 63-70, 2025 | DOI: 10.62762/FEIR.2025.704155
Abstract
In the context of the accelerated global aging process and the increasingly diverse health care demands, the shortage of skilled elderly care and nursing professionals has emerged as a key constraint impeding the development of this sector. This article offers a systematic review of both domestic and international research on the development of elderly care and nursing talent, examines structural deficiencies in current training models, and proposes reform pathways informed by international best practices and localized implementation. The findings reveal that the existing training system is confronted with three major challenges: curricula that do not align with industry needs, limited pract... More >

Graphical Abstract
Research on the Reform Path of Nursing Talent Training Model for Health Care
Open Access | Research Article | 30 August 2025
Challenges Faced by Basic Education Teachers in Achieving Professional Growth and Job Promotion: A Phenomenological Study
Frontiers in Educational Innovation and Research | Volume 1, Issue 2: 55-62, 2025 | DOI: 10.62762/FEIR.2025.316923
Abstract
For teachers, advancing professionally and getting job promotions are essential because they encourage hard work and high-quality work. Promotion affects employee performance significantly, and professional development has a significant positive effect on teachers' work commitment while achieving this is consistently coupled with challenges; this study was to identify the challenges teachers encounter in their pursuit of job promotion and growth as professionals. The research sample comprised thirteen participants at the Philippines' Division of Misamis Oriental at the Tagoloan Central School selected through purposive sampling and used a qualitative methodology with a phenomenological resea... More >
Open Access | Research Article | 09 August 2025
An Analysis of Linguistics and Language Learning
Frontiers in Educational Innovation and Research | Volume 1, Issue 2: 48-54, 2025 | DOI: 10.62762/FEIR.2025.735176
Abstract
Due to its consistent linguistic limitations, linguistics is the preferred medium for language learners. To take it a step further, language is essential for broadening people’s perspectives on the outside world. Now it is time to investigate the connection between linguistics and language acquisition. This study adopts a method of case analysis in accordance with syntax, semantics and pragmatics in linguistics to clarify the relationship between linguistics and language learning based on the practical role of them and make some recommendations for language learning. More >

Graphical Abstract
An Analysis of Linguistics and Language Learning
Open Access | Research Article | 07 August 2025
Research on the Application of Mind Maps in English Topic Review Class for Grade 3 Students
Frontiers in Educational Innovation and Research | Volume 1, Issue 2: 40-47, 2025 | DOI: 10.62762/FEIR.2025.429217
Abstract
In response to the emphasis on core competencies in the "Compulsory Education English Curriculum Standards (2022 Edition)" and the requirement for efficient review under the "double reduction" policy, this study focuses on the application of mind maps in English topic review classes for Grade 3 students. In response to the trend of emphasizing the comprehensive use of language ability in the Chengdu high school entrance examination English, as well as the problems of fragmented knowledge, low student participation, and difficult follow-up for students with weak foundations in traditional review models, an integrated review model is proposed, which takes topics as the main line, mind maps as... More >
Open Access | Review Article | 29 June 2025
AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 29-39, 2025 | DOI: 10.62762/FEIR.2025.332098
Abstract
Artificial Intelligence (AI) is revolutionizing education by enabling personalized learning experiences and intelligent tutoring systems (ITS). This paper examines how AI-driven technologies are transforming modern educational practices through adaptive learning, real-time feedback, and data-driven curriculum design enhanced by learning analytics. By analyzing various AI-powered platforms, this study explores their role in enhancing student engagement, improving accessibility, and optimizing educator efficiency. Furthermore, it addresses the ethical considerations surrounding AI adoption, including data privacy, algorithmic bias, and the necessity for human oversight. While AI presents unpre... More >

Graphical Abstract
AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems
Open Access | Research Article | 28 June 2025
Application and Exploration of Cloud Classroom Realtime Interactive System in Teaching
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 22-28, 2025 | DOI: 10.62762/FEIR.2025.540289
Abstract
Information technology is changing with each passing day. Cloud services are the Internet resource service with the development of networked information technology in recent years, and has been successfully applied to teaching in universities, as one means of interaction and communication between teachers and students. Firstly, the current application status of cloud services in teaching was analyzed in this paper. Secondly, a detailed analysis was conducted on the composition, component modules, and functional characteristics of a real-time interactive system for cloud classroom. A case study of the course question bank and student management module were analyzed in detail. Finally, the app... More >

Graphical Abstract
Application and Exploration of Cloud Classroom Realtime Interactive System in Teaching
Open Access | Research Article | 20 May 2025
Enhanced Dynamic Label Allocation for Mathematical Formula Named Entity Recognition in Learning Path Recommendations
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 10-21, 2025 | DOI: 10.62762/FEIR.2024.416675
Abstract
In the field of natural language processing, Named entity recognition (NER) is a essential task. Mathematical formulas usually contain a large number of terminologies, units of measure and other proprietary knowledge, and the integration of this information into the knowledge graph can significantly enhance the semantic expression ability of the graph. By identifying the named entities in data formulas, the key concepts, entities and relationships between them in the knowledge graph can be extracted, establishing basis for the construction of the knowledge graph and making it easier to interpret and analyse in practical applications. Furthermore, the structured knowledge derived from this pr... More >

Graphical Abstract
Enhanced Dynamic Label Allocation for Mathematical Formula Named Entity Recognition in Learning Path Recommendations
Open Access | Research Article | 26 February 2025
Exploration of Course Resources and Modes under Generative Artificial Intelligence
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 4-9, 2025 | DOI: 10.62762/FEIR.2024.649562
Abstract
To find an approach that combines standardization and personalization, the course resources and teaching modes are explored by generative artificial intelligence. By researching and summarizing the problems and solutions in the course teaching process, it is proposed to set up an assessment way based on key nodes. Then, targeted analysis action of students who did not pass the assessment will be assisted with the effective linkage of generative artificial intelligence technology, teacher and students to achieve the expected goals. Research has shown that with the effective linkage, it can provide advanced assistance for multi-level and personalized teaching in terms of broadening horizons, i... More >

Graphical Abstract
Exploration of Course Resources and Modes under Generative Artificial Intelligence
Open Access | Editorial | 10 February 2025
Frontiers in Educational Innovation and Research: A Platform for Advancing Digitalization and Reform in Education
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 1-3, 2025 | DOI: 10.62762/FEIR.2024.626187
Abstract
Frontiers in Educational Innovation and Research (FEIR) journal marks a significant milestone in educational change and development, particularly in the context of digital transformation and technology’s pervasive impact on daily life. FEIR is dedicated to fostering a community of scholarly inquiry and innovation within the educational sector. The journal focuses on pioneering research and innovative practices that have the potential to enhance educational outcomes and experiences. By addressing challenges such as personalized learning, educational technology integration, lifelong learning, and accommodating diverse student needs, FEIR aims to provide a diverse platform for expert insight... More >

Journal Statistics

25
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Frontiers in Educational Innovation and Research
Frontiers in Educational Innovation and Research
eISSN: 3068-5664
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