Innovative Instructional Design in Contemporary Education: A Systematic Literature Review

A systematic review of Design Thinking as a pedagogical strategy in higher education learning experiences

Design Thinking is conceptually broad and is often treated as a process, a mindset, a method, or a pedagogical framework, with no clear distinctions among them. This systematic review investigates whether Design Thinking (DT) is associated with learning experiences in higher education. The review examines how DT strategies are integrated into instructional practices and their influence on student engagement, creativity, academic satisfaction, and learning outcomes. Drawing on evidence from 27 empirical studies, it shows Design Thinking has been implemented through project-based learning, design studio pedagogy, flipped learning, STEAM integration, and culturally relevant methods. The review finds that Design Thinking-based instruction was reported to support student motivation, collaboration, problem-solving, creativity, critical thinking, and ownership of their learning. The review recommends further research into DT’s effectiveness using a clear measurement model, contextual variations of DT, comparative Design Thinking with non-DT active learning strategies, and longitudinal effects on student learning.

Student engagement in science and engineering education through blended learning: a review

Collaborative Language Learning: A Systematic Literature Review on Pedagogical Practices, Affective Factors, and Technology Integration

The findings indicate that collaborative and project-based learning significantly enhance language proficiency, learner autonomy, and communicative competence through active participation and peer interaction.

Harmonizing technology and pedagogy: A systematic review of Aidriven Competency learning models in education

The rapid integration of artificial intelligence (AI) into education has redefined the nature of competency development, yet empirical evidence remains fragmented and inconsistent across contexts. While AI interventions are often promoted for enhancing personalization, assessment, and learner engagement, uncertainty persists regarding their pedagogical authenticity, equity implications, and measurable impact on learning outcomes. This systematic literature review aimed to evaluate the effect of AIenabled instructional interventions (Intervention) on learners’ competency outcomes (Outcome) among students and educators in formal and nonformal education (Population) compared with conventional or nonAIassisted pedagogies (Comparison).Following the PRISMA 2020 reporting standard and CASP appraisal procedures, five databases (Scopus, Web of Science, ERIC, ACM Digital Library, and IEEE Xplore) were systematically searched for studies published between 2019 and 2025. Inclusion criteria encompassed empirical research where AI formed a core pedagogical, analytical, or delivery component, with sufficient data for quantitative or qualitative synthesis. Twenty studies met initial screening criteria, and ten satisfied full eligibility for inclusion in the final synthesis. Data were analyzed through a mixedmethod approach combining narrative synthesis and qualityweighted comparison. Findings reveal that AIdriven interventions particularly those employing humancentered design, multimodal analytics, and outcomebased knowledge graph mapping—significantly improved competency gains, engagement, and instructional alignment. However, disparities in institutional readiness, data integration, and ethical governance persist, constraining scalability. The review concludes that sustainable AI competency development requires harmonizing technological innovation with pedagogical integrity and equity frameworks, emphasizing the human role in guiding AImediated learning ecosystems.

Science for All? A Systematic Literature Review on Effective Teaching Approaches in Inclusive and Separate Settings

This systematic literature review examines intervention studies focused on teaching science to a diverse range of learners. It adopts a broad definition of inclusion and makes use of the PRISMA statement. The review aims to provide an overview of evidence‐based teaching approaches in the current literature, identify the science skills targeted, and synthesize the evidence for the approaches used in inclusive and separate settings in the context of science for all . The review analyzed intervention studies published between 2013 and 2022. Only quantitative, methodologically sound intervention studies were included ( N  = 31). The findings revealed that almost all identified studies adopted a narrow definition of inclusion. The six identified teaching approaches include digital learning ( n  = 14), peer support ( n  = 2), self‐directed learning ( n  = 9), design‐based engineering learning ( n  = 2), systematic instruction ( n  = 16), and universal design for learning ( n  = 3). Positive evidence was found for systematic instruction, mixed evidence for digital learning and self‐directed learning, and insufficient but promising evidence for peer support, design‐based engineering learning, and universal design for learning. Furthermore, the results suggest that studies in the context of doing science, learning about science , and learning to address socioscientific issues are lacking, and further research is required.

Pedagogical strategies for managing learner discipline in a virtual learning environment: A systematic literature review

The transition to digital education has intensified challenges in managing learner discipline within online settings, moving beyond traditional classroom management to a complex digital environment, where challenges such as disengagement, distraction, and lack of direct supervision prevail. This systematic literature review examines current research to identify evidence-based strategies that promote discipline, self-regulation, and sustained engagement in virtual learning environments. A systematic review of recent empirical studies was conducted, focusing on technology-enhanced learning, digital pedagogy, and online behaviour management. Following PRISMA guidelines, a systematic search of the Scopus and Web of Science databases, including Google Scholar, for publications between 2020 and 2025 yielded 615 records, of which 24 high-quality studies met the inclusion criteria for in-depth thematic synthesis. Sources included peer-reviewed articles on gamification, artificial intelligence in education, collaborative online tasks, and learning analytics. Findings indicate that effective management of online learner discipline relies on multifaceted interventions. Pedagogical strategies such as structured collaborative tasks, clear communicative guidelines, and reciprocal interaction frameworks foster accountability and reduce disruptive behaviours. Technological tools, including gamified applications with immediate feedback, badges, and leaderboards, significantly enhance motivation and reduce anxiety. Learning analytics enables real-time monitoring of participation, allowing for timely, data-informed interventions. Furthermore, AI-driven adaptive systems support personalised learning pathways, uphold academic integrity, and enable self-paced progress. Self-regulation emerges as a central mediating factor linking instructional practices to disciplined behaviour. Successful discipline management in online education requires integrating pedagogical design, technological support, and proactive teacher involvement. A structured, interactive, and responsive virtual environment can cultivate self-regulation and sustained engagement. Future research should explore the longitudinal impacts of these strategies across diverse educational contexts.