Rebuilding Learning after Natural Disasters: Academic Recovery and Engagement among Maritime Students

Vocabulary practice flashcards covering theoretical frameworks, engagement and recovery dimensions, research methodology, and statistical analysis from the maritime research study on post-disaster academic recovery.

Bioecological Systems Theory

The primary theoretical framework formulated by Bronfenbrenner (1981) and updated by Bronfenbrenner and Morris (2007), positing that student development and academic success are shaped by dynamic, reciprocal interactions between the individual and their surrounding environmental systems.

PPCT Model

A four-pillar conceptual framework within Bronfenbrenner's Bioecological Systems Theory consisting of Process (proximal processes), Person (individual characteristics), Context (nested environmental layers), and Time (chronosystem).

Proximal Processes

The recurring, face-to-face interactions a student engages in with people, objects, and symbols in their immediate environment (such as interacting with instructors, studying with peers, or reading course texts), serving as the primary engines of human development.

Person Characteristics (Bronfenbrenner)

The individual traits a student brings into interactions, categorized into force (internal drive, motivation, and coping strategies), resources (intelligence, prior knowledge, material assets, and access to technology), and demands (outward traits that invite or discourage reactions from others).

Microsystem

The innermost environmental layer of the Bioecological Systems Theory consisting of the immediate settings and direct spaces experienced by a student, including physical classrooms, training laboratories, home, and dormitories.

Mesosystem

The layer in the Bioecological Systems Theory that encompasses the connections and interactions taking place between two or more of a student's microsystems, such as how family and home conditions influence campus performance.

Exosystem

External environments and institutional bodies that do not directly involve the student but indirectly influence their academic life, such as university administration boards, departmental decisions, and emergency management agencies.

Macrosystem

The overarching sociocultural values, economic patterns, disaster contexts, and national educational policies that structurally influence all other nested environmental layers.

Chronosystem

The temporal dimension of the Bioecological Systems Theory encompassing micro-time changes, weekly meso-time routines, and macro-time historical events or natural disasters that alter developmental systems across a lifespan.

Theory of Student Engagement

A multidimensional educational model established by Fredricks et al. (2004) that defines student engagement as a dynamic, responsive connection across three interlinked dimensions: behavioral, emotional, and cognitive engagement.

Behavioral Engagement

A dimension of student engagement concerning observable actions, physical participation, attendance, compliance with institutional rules, and effort exerted to complete academic activities.

Emotional Engagement

A dimension of student engagement involving affective reactions, internal motivation, academic interest, positive attitudes toward instructors and peers, and a psychological sense of institutional belonging.

Cognitive Engagement

A dimension of student engagement defined by internal mental investment, sustained concentration, deliberate self-regulation, and the strategic effort applied to master complex academic concepts.

Academic Resilience Theory

A psychological framework established by Martin and Marsh (2006) positing that academic resilience is a dynamic capacity of behavioral and psychological strategies that students develop to overcome educational setbacks, stress, and chronic adversity.

5-C Model of Academic Resilience

A five-factor model developed by Martin and Marsh (2006) outlining student adaptive capacities: confidence (self-efficacy), coordination (planning and time management), control (sense of agency and responsibility), composure (anxiety regulation), and commitment (persistence).

Learning Recovery

The process through which students regain the competencies, skills, routines, and overall academic progression that were delayed, lost, or compromised due to class disruptions caused by natural disasters.

Recovery of Missed Learning Competencies

A sub-dimension of learning recovery measuring a student's capacity to rebuild missing theoretical understanding and practical technical baselines through targeted reviews, remedial instruction, and prerequisite skill assessments.

Adaptation to Resumed Learning Activities

A sub-dimension of learning recovery measuring the psychosocial, behavioral, and cognitive adjustments required for students to readjust to regular classroom routines, regimented academy schedules, and in-person instruction after an educational freeze.

Completion of Academic Requirements

An output-driven sub-dimension of learning recovery measuring a student's operational capacity to clear delayed coursework backlogs, laboratory sign-offs, technical reports, and major examinations under compressed recovery timelines.

Quantitative Correlational Research Design

A non-experimental research design that systematically measures variables in their natural state and determines the statistical strength and direction of the association between them without manipulating conditions or inferring causality.

Purposive Sampling

A non-probability sampling technique used in this study to select a minimum of $50$ second-year and third-year maritime student-respondents across BSMT and BSMarE programs who were severely affected by the September 2025 earthquake and November 2025 Typhoon Tino.

Research Flow (Input-Process-Output)

The conceptual model mapping the investigation from input (levels of learning recovery and academic engagement), through process (correlational design, validation, REC approval, data gathering, statistical treatment), to output (formulated recommendations to support educational continuity).

Research Locale (UC-METC Location Map)

The institutional research setting located on Alumnos Street, Mambaling, Cebu City, Region VII, Philippines, catering to BSMT and BSMarE programs and equipped with specialized bridge and engine room simulators.

Weighted Mean

A descriptive statistical tool used to summarize respondents' ratings across each indicator into a single average score, which is subsequently interpreted using a continuous four-point evaluation scale.

Standard Deviation

A descriptive statistical measure quantifying the amount of dispersion or variation in respondent scores around the mean, demonstrating whether responses are clustered closely or spread out widely.

Pearson Product-Moment Correlation Coefficient ($r$)

The bivariate inferential statistic used to measure the direction and strength of the relationship between students' learning recovery and academic engagement, tested at a significance threshold of $\alpha = 0.05$.