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Open research questions in Educational Technology and Assessment

83 gap statements mined from Educational Technology and Assessment papers in our 4.5M-paper local library, which holds 1,176 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Accommodating students' diverse needs while helping them develop professional competence. Providing effective supervision for student group projects. Handling linguistic and numerical uncertainties in supervisors' evaluations of students' required early interventions.

    Expert-Informed Interval Type-2 Fuzzy Logic System for the Early Prediction of Support Needs and Failure Risk in Student Group Projects · 2026 · DOI

  • The need to consider participant exhaustion and the importance of allowing participants to be tested over multiple sessions in a self-paced manner.

    Creating online cognitive assessment platform for children’s literacy and math skills: a case study illustrated with the ACE kids platform · 2026 · DOI

  • The need for online assessments to allow for remote data collection. The limitations of traditional in-person data collection methods, such as scalability and human errors. The lack of guidance on the logistical and technical considerations of developing a customized platform for online child data collection.

    Creating online cognitive assessment platform for children’s literacy and math skills: a case study illustrated with the ACE kids platform · 2026 · DOI

  • Existing approaches to educational admission prediction suffer from limitations, including the need to balance predictive accuracy with fairness. The requirement for interpretable decisions in high-stakes contexts is not met by current methods. The study addresses the gap by integrating a validated causal ontology within an educational admission framework.

    A Structural Causal Model Ontology Approach for Knowledge Discovery in Educational Admission Databases · 2025 · DOI

  • Traditional examination methods are time-consuming and prone to human errors. Existing online assessment systems lack customization, advanced analytics, and flexibility required for institutional needs.

    Online Quiz System · 2026 · DOI

  • Conventional e-Learning evaluation methods have limitations.

    Semantic Web Technologies for a Better E-Learning Feedback · 2026 · DOI

  • Limited understanding of the contributing factors and conditions associated with high quality SEL implementation and outcomes. Need for a program-independent method to guide dimensions of implementation.

    A Method for Monitoring SEL Implementation in the Classroom · 2026 · DOI

  • Evidence is fragmented across departments. CO-PO mapping and attainment calculations are recomputed manually for every review cycle. Institutional leadership lacks a real-time view of readiness until the Self-Assessment Report (SAR) is compiled.

    NBA Accreditation Management System: A Multi-Tenant SaaS Platform for Outcome-Based Education and Accreditation Automation · 2026 · DOI

  • Although we calculated Cronbach’s α to reflect internal consistency reliability and completed expert consultation via the Delphi method, there is insufficient empirical statistical evidence to fully validate the rationality and stable structural division of the four primary and 16 secondary indicator frameworks.

    Developing the quality evaluation index system of digital textbooks for physical education and health · 2026 · DOI

  • Despite the proven efficacy of evolutionary computation (EC) techniques in enhancing feature selection for multi-label datasets, research on feature selection in MLC remains sparse in the domain of multi- and many-objective optimization.

    A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets · 2025 · DOI

  • The role of human intervention in validating and correcting automated diagram assessment decisions in handwritten answer scripts is underexplored. Prior semi-automatic approaches reduce human marking load but do not systematically define when and how humans should intervene to verify diagram-specific errors or ambiguities.

    Personalised Feedback With Semi-Automatic Assessment Tool For Conceptual Database Model · 2010 · DOI

  • Existing work on automated diagram marking focuses on typed or digitally-drawn diagrams, but handwritten diagrams in answer scripts remain largely unaddressed. No prior study systematically evaluates how to assess handwritten diagrams within student answer scripts using human-in-the-loop approaches that combine automated detection with human verification.

    Personalised Feedback With Semi-Automatic Assessment Tool For Conceptual Database Model · 2010 · DOI

  • Existing methods may not effectively assess calculation problems with intricate ideas.

    Research on Intelligent Grading of Physics Problems Based on Large Language Models · 2025 · DOI

  • Fig. Admin Dashboard Interafce Altogether, the findings show that the suggested system is characterized by a high degree of reliability, evaluation accuracy, and the effectiveness of work. The platform successfully solves the problems that are connected to the old-fashioned examination principles and offers a viable remedy to digital assessment settings. VIII.

    An Online Examination Platform with Timer and Auto-Submit Enhanced with Tab Switch Monitoring and Instant Result Analysis Dashboard · 2026 · DOI

  • The findings confirm that the fuzzy approach provides more accurate, flexible, and consistent assessment results.

    Enhancing Student Performance Evaluation Using a Hybrid Fuzzy Inference Model with Optimized Rule Base · 2026 · DOI

  • The primary sources of information about the mastery of an educational program are typically data from students' intermediate and final assessments. The proposed approach integrates data from curricula and the Learning Management System Moodle digital footprints.

    A Technology for Analyzing the Transformation Process of University Students’ Learning Outcomes Based on Bloom’s Taxonomy · 2026 · DOI

  • The study did not generalize findings, but rather provided a detailed explanation that may inform similar implementations in comparable educational settings. The study was limited to the Central University of Technology and may not be applicable to other institutions.

    Enhancing assessment integrity in LMS-Based evaluations: Implementing the Lockdown Browser at the Central University of Technology · 2026 · DOI

  • The school needs a digital system to manage class journals effectively.

    PERANCANGAN E - JURNAL KELAS MA NU ISLAMIYAH BERBASIS WEBSITE · 2026 · DOI

  • Processing time is high for every single reporting cycle. It is easy to make processing errors that can cause data to be incorrect. Repetitive time-consuming data entry activities. Limited scope of analytics and visualization.

    Automated VTU Result Analytics and NBA Reporting Framework Using Academic Performance Evaluation · 2026 · DOI

  • The paper notes that existing methods are not suitable for evaluating the overall effect of LMS activity on student performance.

    Student performance and LMS activity in primary schools: a Bayesian additive regression trees approach with random effects · 2026 · DOI

  • The study relies on a limited number of graduation projects (33) conducted by expert supervisors, - The study does not provide a comparison with other machine learning models or techniques, - The study does not discuss the potential biases in the data or the expert supervisors’…

    Expert-Informed Interval Type-2 Fuzzy Logic System for the Early Prediction of Support Needs and Failure Risk in Student Group Projects · 2026 · DOI

  • Generalizability to other Nigerian institutions requires multi-institutional validation, - Evaluate performance across different admission scenarios, - Explicitly model temporal changes in admission policies…

    A Structural Causal Model Ontology Approach for Knowledge Discovery in Educational Admission Databases · 2025 · DOI

  • Assessing calculation problems with complex ideas in physics education. Reducing the performance gap between different large language models.

    Research on Intelligent Grading of Physics Problems Based on Large Language Models · 2025 · DOI

  • Machine-learning-based performance prediction. Early identification of at-risk students. Deeper Outcome-Based Education (OBE) analytics. AI-driven academic recommendations for faculty and department heads.

    Automated VTU Result Analytics and NBA Reporting Framework Using Academic Performance Evaluation · 2026 · DOI

  • Further development of methods to assess the effect of LMS activity on student performance, - Investigation of the impact of LMS usage on student performance in different socioeconomic…

    Student performance and LMS activity in primary schools: a Bayesian additive regression trees approach with random effects · 2026 · DOI

Most-cited papers in Educational Technology and Assessment

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83 gap statements have been mined from Educational Technology and Assessment papers in our 4.5M-paper local library, which holds 1,176 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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