A Command-Driven Model for Library Science Pedagogy Evaluation

Thesis Abstract

The study addresses a persistent gap in library science education the lack of a usable, evidence-based framework for evaluating pedagogy that can be implemented across diverse library settings. Traditional evaluation approaches often rely on ad hoc metrics or single-method assessments, limiting comparability and scalability. The aim is to develop and validate a Command-Driven Model for Library Science Pedagogy Evaluation (CD-LE), designed to operationalize pedagogical effectiveness through explicit instructional commands, automated instrumentation, and iterative feedback loops. Specific objectives are (1) to identify core pedagogical commands that drive learning outcomes in library science curricula; (2) to design a formalized evaluation framework that maps commands to measurable learning activities and outcomes; (3) to validate the model in three accredited library schools representing varying institutional contexts; (4) to examine how command-driven metrics align with established theories of constructivist and situated learning; and (5) to provide a practical instrument set for ongoing program improvement. The methodology adopts a mixed-methods design under a pragmatic paradigm. The population comprises 18 accredited Master of Library and Information Science (MLIS) programs across three regions, with a target sample of 9 institutions and 180 graduate students enrolled in core and elective pedagogy courses. The study uses a sequential explanatory design first, quantitative data collection via a standardized command-driven pedagogy instrument (CDPI) administered to 180 students, comprising Likert-scaled scales, performance tasks, and course artifact scoring aligned to 12 pedagogical commands; plus standardized measures of learning outcomes and self-efficacy. This is followed by qualitative data collection through 36 semi-structured interviews with faculty and 90 hours of classroom observation to triangulate with CDPI results. Data collection instruments include validated subscales for pedagogical effectiveness, a performance-based rubric for command execution, and artifact coding schemes. Validity is established through content validity panels with library science educators and construct validity informed by confirmatory factor analysis (CFA); reliability is assessed via Cronbach’s alpha and inter-rater reliability (Cohen’s kappa) for rubric scores. Data analysis proceeds in two stages. Quantitatively, descriptive statistics summarize central tendencies and dispersion of CDPI scores; multiple regression analyzes the relationship between command-implementation scores and culminating learning outcomes, controlling for prior knowledge and program type; multilevel modeling accounts for nested data at the course level. Mediation analyses explore whether student engagement mediates the relationship between command-driven instruction intensity and achievement. Qualitatively, thematic analysis of interview transcripts and observation notes identifies patterns regarding feasibility, teacher autonomy, and contextual constraints, using a constant comparative method. The convergence of quantitative and qualitative findings will be examined through joint display analysis to iteratively refine the CD-LE framework. The study situates itself within constructivist and situative learning theories, incorporating Kolb’s experiential learning cycle and Vygotsky’s social development theory to justify the command-driven emphasis on guided activity, scaffolding, and authentic assessment. Expected findings indicate that higher fidelity in implementing the 12 core commands correlates with superior performance on performance-based assessments and higher student self-efficacy, with engagement serving as a key mediator. The model is anticipated to demonstrate robust applicability across varied institutional settings, though contextual adaptations—such as resource constraints and faculty development needs—will emerge as important moderators. The study contributes to knowledge by operationalizing pedagogy evaluation into a replicable, scalable framework that links instructional commands to measurable outcomes, integrating performance-based assessment with traditional metrics, and offering a theory-informed instrument set for continuous program improvement. It also advances the literature on library science education by providing a concrete, transferable, command-driven evaluation approach aligned with contemporary pedagogical theory and empirical methods. The main conclusion projects that the CD-LE framework offers a reliable, valid, and practical mechanism for ongoing pedagogical improvement in library science programs. Recommendations include adopting the CD-LE framework as part of routine program review, incorporating targeted faculty development to implement the 12 commands, investing in standardized performance rubrics and analytics dashboards, and extending the model to online and blended modalities. Further research is suggested to explore cross-disciplinary applicability, long-term retention effects, and the integration of AI-assisted analytics to enhance command-based pedagogy evaluation.