Computer Science · Research topic

Open research questions in Educational Technology and Pedagogy

52 unresolved questions extracted from the limitations and future-work sections of 808 Educational Technology and Pedagogy papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The study uses a limited sample size of 375 students. The study only considers two academic years. The paper does not provide a comprehensive comparison with other AI algorithms.

    Research on AI-Enabled Single-Chip Microcomputer Teaching Quality Based on Neural Networks · 2026 · DOI
  • The study suggests optimizing the sensitive factor extraction method. The paper proposes adding prediction conditions related to teaching and learning to improve model performance.

    Research on AI-Enabled Single-Chip Microcomputer Teaching Quality Based on Neural Networks · 2026 · DOI
  • The complexity of the evaluation process. The need to consider the influence of the relationship between the evaluation indicators. The need to determine the impact relationship and degree of influence of indicators.

    Exploring the Reform of Course Evaluation System for English Majors in Colleges and Universities in the Internet Era · 2026 · DOI
  • Insufficient adaptation to Gaokao question types. Recognition bias of dialectal accents. Lack of teacher-student interaction.

    ESLA in Senior High School Spoken English Teaching: Dilemmas and Solutions · 2026 · DOI
  • Reduced course hours. Low students' engagement. Lack of effective pedagogical models.

    An Action Research Study on AI-empowered, BOPPPS-framed, and CLIL-integrated Instruction Model in Medical English Teaching · 2026 · DOI
  • There is little research evidence on this point, how- ever, and results are conflicting.

    An information processing approach to a theory of instruction · 1983 · DOI
  • To analyze the reasons for the difference between the two groups. To examine the interaction between the two factors. To test the effectiveness of the intervention measures in the real classroom environment.

    Factors Influencing College Students’ Spoken English Learning and Improvement Strategies · 2026 · DOI
  • The reasons for the difference between the two groups are not analyzed. The interaction between the two factors is not analyzed. The impact of environmental constraints on psychological barriers is not analyzed.

    Factors Influencing College Students’ Spoken English Learning and Improvement Strategies · 2026 · DOI
  • The current public physical education curriculum system faces challenges such as insufficient alignment with sports education objectives. Traditional teaching models have long constrained university physical education systems.

    Research on Optimization of Public Physical Education Curriculum System in Universities from the Perspective of Integration of Physical Education and Sports · 2026 · DOI
  • The current integration of AI and classroom teaching remains in the preliminary exploration stage. The integration depth is insufficient and the application scenarios are relatively limited. Numerous issues still exist in practice.

    Research on the Application Path of Artificial Intelligence Technology in Classroom Teaching in Higher Education · 2026 · DOI
  • Further research is needed to address the numerous issues that still exist in practice. Further research is needed to explore more effective application paths of AI technology in higher education teaching practices.

    Research on the Application Path of Artificial Intelligence Technology in Classroom Teaching in Higher Education · 2026 · DOI
  • Insufficient integration of technology with teaching needs, - Teachers have limited understanding and application ability of AI tools, - Colleges and universities have insufficient investment in digital teaching resources and intelligent platform construction

    Innovative Research and Practice on the Teaching Model of the Course “School Physical Education” in Colleges and Universities Empowered by Artificial Intelligence · 2026 · DOI
  • Further study on the construction of smart teaching environments, - Further study on the application of AI in teaching models

    Innovative Research and Practice on the Teaching Model of the Course “School Physical Education” in Colleges and Universities Empowered by Artificial Intelligence · 2026 · DOI
  • Reading instruction is a key link in international Chinese language acquisition, and there are still many practical problems in current teaching practice: learners' language proficiency levels are significantly differentiated, it is difficult to achieve hierarchical adaptation of reading texts, the interpretation of cultural connotations in texts remains insufficient, and teachers’ energy is limited, making it difficult to carry out refined personalized teaching.

    Application Practice and Teaching Value of NotebookLM in International Chinese Reading Instruction · 2026 · DOI
  • To develop more effective intelligent speech-assisted tools for spoken English teaching. To evaluate the effectiveness of the proposed multi-level optimization strategy. To explore the potential of ELSA in different teaching contexts.

    ESLA in Senior High School Spoken English Teaching: Dilemmas and Solutions · 2026 · DOI
  • The study needs further revision for AI-empowered standardized evaluation tasks. The sample size is limited to 79 students.

    An Action Research Study on AI-empowered, BOPPPS-framed, and CLIL-integrated Instruction Model in Medical English Teaching · 2026 · DOI
  • Optimizing algorithms and interfaces to enhance the practicality of the system. Improving the accuracy of oral feedback. Exploring the application of the system in other subjects and educational settings.

    Research on the Design of a Real-Time Feedback System for College English Classrooms Based on an Intelligent Teaching Platform · 2026 · DOI
  • Current feedback practices in college English classrooms suffer from issues like incomplete coverage and lack of precision. There is a need for a real-time feedback system that can provide detailed and personalized feedback to students.

    Research on the Design of a Real-Time Feedback System for College English Classrooms Based on an Intelligent Teaching Platform · 2026 · DOI
  • There is a gap in the current teaching of reading and writing in junior high school English, with an emphasis on reading over writing. The separation of reading and writing and the separation of learning and application are also problems in current English teaching.

    Application of the Production-Oriented Approach in Junior High School English Reading and Writing Lessons · 2026 · DOI
  • The lack of technical adaptability and depth of teaching are obvious shortcomings in the practical application of AI agents. The existing teaching agents have weak adaptability.

    The Application, Dilemma and Optimization Path of Agent Technology in College Classroom Teaching · 2026 · DOI
  • The gap between the current senior high school English reading classes and the requirements of deep learning. The lack of targeted deep-reading teaching strategies.

    A Study on Senior High English Reading Teaching Oriented to Deep Learning · 2026 · DOI
  • Most studies focus on evaluating individual AI tools or specific language skills instead of presenting a comprehensive pedagogical framework for integrating AI across the entire ELT curriculum. There is a need for a framework that integrates multiple educational theories and principles.

    Reimagining English Language Teaching through Generative Artificial Intelligence: The SMART-ELT Framework for Indian Higher Education · 2026 · DOI
  • There is a need to construct a scientific and reasonable evaluation index system for courses. The existing evaluation systems may not be effective in evaluating the construction level of English courses.

    Exploring the Reform of Course Evaluation System for English Majors in Colleges and Universities in the Internet Era · 2026 · DOI
  • There is a need for a tool to track student satisfaction and progress, and predict academic performance. Prior work has not addressed the specific research question of this study.

    BAYESIAN MODELING OF STUDENT ACADEMIC PERFORMANCE: EVALUATING MOTIVATIONAL FACTORS · 2026 · DOI
  • Future research should focus on three main directions: (1) collecting larger and more balanced datasets across multiple institutions to validate and refine the proposed Bayesian models; (2) incorporating additional predictors such as socioeconomic status, prior language learning experience, and learning style preferences; and (3) developing a real-time early warning dashboard that operationalizes the Bayesian networks for classroom use by teachers and administrators.

    BAYESIAN MODELING OF STUDENT ACADEMIC PERFORMANCE: EVALUATING MOTIVATIONAL FACTORS · 2026 · DOI

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52 open questions have been extracted from the limitations and future-work passages of 808 Educational Technology and Pedagogy papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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