Methodology gaps in Education

Representative open questions

Showing 30 of 794 — one per source paper, highest-quality first.

• Power-Optimized AI-Enhanced Telepresence Robots: A Validated Multi-Modal Framework for Sustainable Remote Learning in Higher Education (2026) · doi

  Battery endurance is currently unspecified in tested configurations; expansion to 8-10 hour operational periods using 6000 mAh high-capacity cells requires hardware redesign and power-consumption validation to confirm the 35% energy reduction advantage is maintained.

• El desarrollo de la comprensión del aspecto matemático del logaritmo mediante la intuición y la axiomatización en los estudiantes de Licenciatura en Educación Secundaria con especialidad en Matemáticas al término de la aplicación de su programa educativo. (2026) · doi

  The division algorithm applied to logarithmic expressions (form 26) reveals that many secondary education mathematics students either attempt direct division application or demonstrate total procedural ignorance; the paper does not specify what prerequisite knowledge gaps or algorithmic misunderstandings cause this failure, nor does it propose targeted instructional interventions.

• e-DigCompEdu: Digital Competences for Online Higher Education Framework (2026) · doi

  The framework mandates educators teach learners 'how copyright and licenses apply to digital content' (section 6.3) and to be 'aware of the licenses attributed to the publication' (section 7.3), but does not specify which licensing models (Creative Commons, open access, proprietary) should be prioritized or how educators should assess learners' understanding of different license types.

• A systematic review of generative artificial intelligence in education: Pedagogical impacts, ethical risks, and future directions (2026) · doi

  While the paper discusses integration of AI-generated content with human oversight in curriculum development, it does not address specific quality assurance protocols, validation criteria, or measurable benchmarks for determining when AI-generated lesson plans, quizzes, and case studies meet pedagogical correctness standards for multilingual and competency-based learning contexts.

• Ethical challenges of artificial intelligence in education: A systematic literature review on bias, privacy, and academic integrity (2026) · doi

  Recommender systems in educational contexts create filter bubbles by repeatedly suggesting similar content aligned with student initial interests, but the paper does not specify what algorithmic mechanisms (e.g., diversity constraints, serendipity injection, exploration-exploitation balancing) should be integrated into collaborative filtering and content-based recommendation algorithms to expose students to diverse viewpoints while maintaining personalization.

• Error Patterns and Predictors in Solving Algebraic Word Problems: Evidence from Secondary School Students (2026) · doi

  The study finds that classroom dynamics and fear of embarrassment impede student participation and error identification, yet does not empirically measure how peer-pairing and collaborative learning interventions affect error correction rates, confidence levels, or encoding error reduction in comparison to teacher-led diagnostic feedback alone.

• ChatGPT in computer programming education: A review of current literature and applications (2026) · doi

  Standardised research designs and evaluation frameworks for assessing ChatGPT's role in programming education are lacking, reducing consistency and comparability across published studies. Development of validated assessment instruments and methodological protocols would enable meta-analysis and evidence synthesis on AI integration effectiveness.

• Coding Science: The Role of Block-Based Programming Activities in Enhancing Computational Thinking and Science Achievement (2026) · doi

  Longitudinal studies must investigate sleeper effects in block-based programming integration with science instruction by tracking whether science achievement gains in the experimental group emerge after the initial cognitive load of coding diminishes over extended time periods.

• When teachers learn by observation: Vicarious reinforcement and student response systems in teacher education (2026) · doi

  The study documents that student response systems (AhaSlides/Mentimeter) enhanced participation and content understanding in teacher education, but does not systematically compare vicarious reinforcement effects across different question formats (multiple-choice vs. short-answer) or investigate which specific types of peer answer visibility most effectively motivate shy or introverted student teachers to participate.

• A(n) (re)awakening: preservice teachers connecting their culture to science teaching along the US–México border (2026) · doi

  Investigation is needed on how collective autoethnography can be systematically applied to document the specific ways preservice teachers reclaim or reconnect with cultural identities and subsequently leverage cultural practices in science instruction, moving beyond narrative construction to measurable pedagogical outcomes.

• Digital Platforms and Relational Practice: A Netnographic Study of Educator-Family Communication (2026) · doi

  The study found that families engaged deeply with educator posts through off-platform activities (discussing with children, sharing with family members, extending learning at home) but this engagement was only captured through interview self-report. Longitudinal mixed-methods research combining digital platform data with video observation of home-based family discussions and artifact collection is needed to objectively measure the extent and type of meaning-making occurring across settings in educator-family digital platform communication.

• When faces trigger feelings: multi-stakeholder experiences, use, and expectations of facial-emotion learning technologies and materials for autistic people (2026) · doi

  The paper notes that some autistic learners struggle with error correction loops in facial-emotion apps where repeated wrong answers and retries become frustrating rather than instructive. There is a need to develop alternative feedback mechanisms and adaptive difficulty adjustment strategies for facial-emotion recognition tools that maintain motivation without repeated failure cycles.

• Segmental and suprasegmental pronunciation training via AI: An exploration of university students’ perceptions and attitudes (2026) · doi

  The paper does not investigate interaction effects between AI pronunciation training modality (segmental-only versus integrated segmental and suprasegmental) and learner factors such as motivation, anxiety, or prior language learning experience on student attitudes and skill development.

• The current landscape of teachers artificial intelligence acceptance: Relationships with TPACK and technostress (2026) · doi

  Professional development initiatives focusing on pedagogical integration of AI into subject-specific teaching practices require empirical evaluation; no studies have measured the effectiveness of collaborative teacher communities and peer/reverse mentoring models in reducing technostress while enhancing AI-supported instructional strategies adoption.

• Effect of Van Hiele group guided-discovery instructional approach on student engagement in learning plane geometry (2026) · doi

  The paper demonstrates that group discussion and peer interaction improved students' confidence in presenting contributions and promoted social engagement in plane geometry, but does not examine group composition effects (ability grouping, mixed-ability pairing, group size variations). Research should investigate optimal group configuration parameters for maximizing engagement within Van Hiele guided-discovery plane geometry instruction.

• On the development and potential influential aspects of prospective science teachers’ competencies for the use of explainer videos for learning in physics education (2026) · doi

  Open-ended response formats from a sub-sample will be analyzed in subsequent work to examine differences in how prospective teachers' professional vision can be promoted during subject-specific teacher training in physics, but this qualitative analysis has not yet been completed or reported.

• Producing concept-motivated signs supports learning of STEM in American Sign Language (2026) · doi

  The study provided ASL translations of all pre- and post-test questions at the top of each test page but does not report whether participants actually accessed or relied on these translations, or whether reliance on written English translations versus ASL-only assessments differentially impacted learning outcomes for D/deaf versus hearing participants in concept-motivated versus engagement-motivated signing conditions.

• Pluriliteracies for global citizenship: the 4Rs framework for deeper learning in the modern language(s) classroom (2026) · doi

  The Deeper Learning Episode (DLE) framework presented in Table 4 provides guiding questions for four phases (Activation, Surface, Consolidation, Transfer) with success indicators (Thinking, Feeling, Saying, Doing, Having, Being), but the paper lacks specification of how teachers assess or operationalize these shifts, particularly the distinction between lateral reading and critical ignoring as threshold practices between Surface and Consolidation phases.

• Adequacy and Utilization of Physical Resources: Implications for Effective Teaching and Learning (2026) · doi

  The study found that physical resources significantly correlate with teaching and learning outcomes, but Umeh and Hamzah (2027) argue teacher quality has more impact. The paper does not test interaction effects between resource adequacy and teacher qualification levels in Delta State schools. Research should employ multivariate analysis to determine the relative contributions and interaction patterns of physical resources, teacher training, and other pedagogical factors on academic achievement.

• Digital Disruption of Academic Integrity (2026) · doi

  The partial mediation model demonstrates that IT facilitates plagiarism through AI paraphrasing tools and essay mills while simultaneously enabling detection through software monitoring, but the competing mechanisms and their relative effectiveness across different AI tool types (generative AI, paraphrasing engines, essay mills) lack empirical comparison within postgraduate populations.

• The Role of Artificial Intelligence in the Career Expectations of Ukrainian Students: Implications for Higher Education (2026) · doi

  Cluster analysis identified three distinct perception patterns (Realists, Reflective Optimists, Disengaged respondents) but these were interpreted as exploratory descriptive groupings rather than stable population types. Mixed-methods research combining quantitative surveys with qualitative interviews and focus groups is needed to interpret the underlying motivations, beliefs, and emotional reactions shaping these heterogeneous perception clusters among Ukrainian students.

• The Effects of Handwriting and Typing on Chinese Character Learning in the Digital Age: Evidence from Arab Adolescent Learners (2026) · doi

  While the study mentions that multimodal instructional supports (images, stories, videos, digital games) benefit younger learners' orthographic-semantic connections, no systematic comparison was conducted to determine which specific modality or combination of modalities produces the strongest form-meaning associations in Arab adolescents.

• No one-size-fits-all: a study of prompt techniques and large language models to enhance AI’s mathematics educational quality (2026) · doi

  Task-specific covariances and dependency structures in the relationship between prompt techniques, model architecture, and quality dimensions were not adequately modeled in the binary logistic regression. Future research should employ hierarchical or mixed-effects models to capture task-specific interactions between algebra problems and number tasks with respect to process-related and content-related quality.

• Cluster Pattern Analysis of Students Stress using Machine Learning Algorithms with Feature Engineering (2026) · doi

  The paper proposes comparing supervised learning, statistical analysis, and deep learning methods for stress cluster prediction but provides no specific deep learning architecture (e.g., convolutional neural networks, recurrent neural networks, autoencoders) or training protocols. Concrete deep learning model specifications, hyperparameter ranges, and benchmark comparisons against the Decision Tree baseline (97.64% accuracy) should be defined for student stress cluster prediction.

• Multimodal AI in education: an avatar-based intelligent learning system for the Kazakh language (2026) · doi

  Assessment tasks are reportedly generated after each instructional unit, but the paper does not specify the assessment task generation methodology, the linguistic complexity levels, or whether the assessment content is validated against Kazakh language learning standards and learner proficiency levels.

• The use of large language models to solve mathematical modeling problems: preservice mathematics teachers’ use practices, perceived affordances and challenges, and trustworthiness judgments of AI-generated outputs (2026) · doi

  The paper indicates that PSTs may not fully engage with the modeling cycle's iterative and reflective nature without explicit instructional guidance, but does not specify what pedagogical strategies, curriculum designs, or teacher education interventions would effectively promote AI-critical literacy alongside modeling phase fluency.

• Pre-service Teachers' Self-Directed Learning in a Blended Learning Environment: A Study on Scale Development and Affecting Factors (2026) · doi

  The study employed a cross-sectional correlational design that cannot establish causal relationships between identified SDL predictors (student awareness, technological ability, self-monitoring, autonomy) and SDL outcomes; longitudinal studies tracking pre-service teachers over multiple semesters are needed to confirm whether interventions like Project-Based Learning and Problem-Based Learning actually increase SDL.

• Development of User Story and Design Thinking Integration Teaching Model for Software Engineering Education (2026) · doi

  The research relied exclusively on quantitative methods (Mann-Whitney U Test and Cliff's Delta effect size) without capturing qualitative data on student experiences, specific challenges encountered during DT phases, and perceived barriers to usability. Future research should integrate qualitative analysis methods such as semi-structured interviews or focus groups to understand why PEOU remains problematic in the US-DT model implementation.

• Does “Maniplo-Spatial Arty” Really Work? A Study of the Effectiveness of “Maniplo-Spatial Arty” as a Teaching and Learning in Science Pedagogy (2026) · doi

  The study design permitted observation of only single lessons containing maniplo-spatial tasks, preventing assessment of learners' understanding at Level 2 (medium to long-term retention) through follow-up diagnostic assessments either shortly after or weeks following the observed lesson. Creating task-specific diagnostic apparatuses for each maniplo-spatial task observed would be needed to measure delayed retention of ideas and observables.

• Quality Evaluation of Indonesian Student-generated User Stories: Insight from Human and ChatGPT Evaluation (2026) · doi

  Semantically and context-dependent QUS criteria (Conceptually Sound, Estimable, Independent, Complete) demonstrated higher disagreement and larger effect sizes in binary scoring; the paper suggests but does not implement or validate whether rubric-based evaluation guidance with partial fulfillment scoring would reduce disagreement and improve criterion reliability for these semantic criteria.