Engineering Academia Faces a Decade of Disruption, Landmark Review Finds

When COVID-19 emptied engineering campuses in early 2020, it did more than force lectures onto videoconferencing platforms. It exposed a fault line running through the entire academic enterprise: a field built on laboratories, makerspaces, field sites, and supervised practice suddenly had to operate without any of them. A new systematic review now argues that this was not a one-off crisis but the sharpest expression of a decade-long pattern of disruption that has reshaped how engineering students learn, how faculty teach, and how institutions govern themselves.

The review, published in Frontiers in Education by Gibin Raju of Louisiana State University, Trinidad Balart of Universidad Adolfo Ibáñez in Chile, and colleagues at Texas A&M University, is the most comprehensive empirical mapping of disruption in engineering academia to date. Reported in accordance with the PRISMA 2020 guidelines, the team searched Compendex and Inspec through Engineering Village, ERIC, and Web of Science, retrieving 7,668 articles. After duplicate removal and two-stage screening with a Cohen’s Kappa of 0.94, 339 peer-reviewed studies published between 2015 and 2024 entered the final synthesis. The researchers then applied inductive thematic analysis, extracting 726 textual segments and retaining 651 with substantive definitional content, to identify how disruption has been defined, what forms it has taken, and what strategies have been used to manage it.

The headline finding is conceptual: the literature itself is fragmented. More than 80 percent of the 339 studies, 273 in total, offered no explicit definition of disruption, often using the term interchangeably with crisis, transformation, change, or challenge. Only 19.5 percent provided a clear operational definition. This definitional inconsistency, the authors argue, has complicated proactive curricular and infrastructural responses, leaving institutions to improvise when high-impact inflection points arrive. To remedy the ambiguity, the review distilled a synthesized definition: disruption in academia is a significant and often accelerated alteration in the systems, structures, or practices of higher education that challenges established norms and necessitates adaptive responses from institutions, staff, and students.

Beneath the definitional fog, thematic analysis revealed dominant framings of disruption as pandemic-induced shock, present in 244 studies, tech-driven change, in 228, and student-centric breakdowns, in 133. Less frequent but conceptually important framings included disruption as an innovation trigger, in 92 studies, institutional misalignment, in 56, and an ongoing condition of complexity and uncertainty, in 18. The authors distinguish external disruptive conditions, such as pandemics, conflict, and economic instability, from internal contributing conditions, including laboratory dependence, uneven digital infrastructure, policy rigidity, and pre-existing inequities. The same external shock, they note, can produce very different consequences depending on institutional capacity and program design.

The reported disruptions form a layered landscape. The emergency shift to online and remote teaching appeared in 206 studies, campus closures and restricted access to physical facilities in 180, and the loss of laboratories, hands-on, and field-based learning in 178. Reduced student engagement, interaction, and collaboration followed in 169 studies, with camera-off behaviors, superficial participation, and weakened feedback loops in online environments. Assessment disruption and academic integrity concerns appeared in 91 studies, while student and staff stress, mental health strain, and well-being challenges were reported in 78. Technological inequities and the digital divide surfaced in 62 studies, alongside misalignment between curricula and rapidly evolving industry needs, halted research mobility, and structural or conflict-related instability. Intensified inequities disproportionately affecting low-income, international, minoritized, and caregiving students appeared in 43 studies, and increased workload and professional identity strain among faculty in 42.

Engineering programs, the review emphasizes, are differently vulnerable to these shocks than other disciplines. Because experiential and competency-based learning depends on laboratories, makerspaces, design studios, specialized equipment, and supervised practice, the loss of physical access undermines not only course delivery but the development of practical, safety-related, and professional competencies. Virtual and remote laboratories, simulations, digital design environments, and low-cost sensing technologies emerged as discipline-relevant ways to preserve aspects of experiential learning, with low-cost sensors deployed in environmental engineering and oral or mixed-format assessments replacing traditional exams to uphold integrity. However, the authors caution that the literature does not establish these approaches as equivalent substitutes for all forms of hands-on learning, nor does it establish their comparative effectiveness.

On the response side, the most frequently reported strategy was reconfiguring teaching and assessment through online and flexible delivery, appearing in 289 studies. This encompassed rapid transitions to learning management systems and videoconferencing, blended and flipped formats, remote and virtual laboratories, and revised grading and completion policies. Institutional and data-informed strategic responses followed in 209 studies, including crisis management committees, revised academic calendars, and learning analytics to track engagement and target at-risk students. Student academic, well-being, and equity-oriented support appeared in 132 studies, with device lending, subsidized internet access, and low-bandwidth learning materials in 78. Staff capacity-building and collaborative teaching cultures, including professional development and peer-support networks, appeared in 116 studies.

Yet the review’s most sobering finding concerns what was missing. Anticipatory or long-term strategic planning was rarely observed. Only 58 of the 339 publications referenced anticipatory planning or institutional preparedness, distributed across technology-forward contingency planning, flexible governance or emergency protocols, scenario-based curriculum design, and cross-sector partnerships. In contrast, no participatory strategies were reported in 167 publications, suggesting that disruption responses in the reviewed literature were primarily reactive rather than pre-emptive. The authors interpret this as an evidence gap rather than definitive proof that preparedness mechanisms were absent from all institutions, but the pattern is clear: the sector has been improvising rather than planning.

The review also reframes academic resilience itself. Rather than treating resilience as a predefined framework, an individual trait, or a synonym for specific strategies such as online delivery or flexible assessment, the authors position it as a data-grounded, multilevel capability through which students, faculty, programs, and institutions anticipate, absorb, adapt to, and learn from disruption while sustaining equitable continuity and quality of education. Disruption is the precipitating condition; management strategies are observable responses; and resilience describes the cross-level capability that supports the coordination, sustainability, and learning value of those responses. A rapid shift to online instruction, for example, represents resilient functioning only when access, learning quality, assessment integrity, faculty capacity, student support, and equity are also addressed.

The findings carry significant limitations that shape their reach. The geographic distribution is heavily skewed toward high-income and English-speaking countries, with the United States accounting for 100 studies, followed by India with 22, Australia with 18, the United Kingdom with 16, and Canada with 11. Very few studies originated from Latin America or Sub-Saharan Africa, limiting global generalizability. Most research focused on students, with 246 studies, while faculty, staff, and industry stakeholders received far less attention. The review also lacked a formal methodological quality appraisal, so reported frequencies indicate how often themes appeared in the corpus rather than evidentiary strength or causal effect. Publication trends show research on disruption surged from fewer than six studies per year between 2015 and 2019 to 45 in 2020 and 82 in 2021, before declining to 49 in 2024.

For institutions navigating an era of generative artificial intelligence, evolving labor markets, and post-pandemic recovery, the review’s implications are practice-informed rather than prescriptive. The authors suggest embedding flexibility into curricula and infrastructure, treating digital equity as an institutional consideration, building cross-functional emergency governance, and investing in faculty development that recognizes the cognitive and emotional load of teaching under disruption. Policy considerations include disruption-aware clauses in grading and progression rules, structured emotional support systems, and updated accreditation criteria reflecting adaptive pedagogy and student well-being. The synthesis positions disruption not solely as a temporary crisis but as a condition that can expose institutional vulnerabilities and prompt reflection, adaptation, and learning, providing a conceptual foundation for context-sensitive institutional planning in engineering education.

Subject of Research: Science News

Article Title: Disruptions in engineering academia: a systematic literature review

Article References: Raju, G., Balart, T., Ligler, G., Shryock, K., & Brumbelow, K. (2026). Disruptions in engineering academia: a systematic literature review. Frontiers in Education, 11, Article 1945799. https://doi.org/10.3389/feduc.2026.1945799

Image Credits: AI Generated

DOI: 10.3389/feduc.2026.1945799

Keywords: engineering education, systematic review, academic disruption, resilience, COVID-19, digital transformation, higher education, STEM education, Disruptions, engineering, academia, systematic