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Copyright © ISRG Publishers. All rights Reserved. DOI: 10.5281/zenodo.17896879 98 ISRG PUBLISHERS Abbreviated Key Title: ISRG J Edu Humanit Lit ISSN: 2584-2544 (Online) Journal homepage: https://isrgpublishers.com/isrgjehl/ Volume – II Issue – VI (November-December) 2025 Frequency: Bimonthly The Impact of Total Quality Management Practices on Program Quality in Arabic Language Education for Non-Native Learners Abdulwasiu Isiaq Nasirudeen1*, Lukman Alawi Ishaq2 1 Faculty of LanguagesAl-Madinah International University (MEDIU) Malaysia 2 Department of Arabic, Faculty of Art. University of Ilorin Nigeria | Received: 07.12.2025 | Accepted: 11.12.2025 | Published: 11.12.2025 *Corresponding author: Abdulwasiu Isiaq Nasirudeen Faculty of LanguagesAl-Madinah International University (MEDIU) Malaysia Abstract This study examines the impact of Total Quality Management (TQM) practices on the quality of Arabic language education programs designed for non-native learners. Using a quantitative correlational design, survey data were collected from 180 instructors, administrators, and quality assurance coordinators across higher education institutions and language centers. The instrument measured five TQM dimensions (leadership commitment, learner focus, continuous improvement, faculty involvement, and data-driven decision making) and four program quality dimensions (curriculum effectiveness, teaching quality, assessment quality, and learner satisfaction). Results from Pearson correlation and multiple regression analyses indicated strong, positive relationships between TQM implementation and all dimensions of program quality (r = .61–.82, p < .01). Leadership commitment and continuous improvement emerged as the strongest predictors of overall program quality (β = .36, p < .001; β = .29, p < .001, respectively). The findings support the adoption of comprehensive TQM frameworks to enhance Arabic language programs serving non-native learners. Keywords: Total Quality Management, program quality, Arabic language education, non-native learners, quality assurance, curriculum development.
Copyright © ISRG Publishers. All rights Reserved. DOI: 10.5281/zenodo.17896879 99 Introduction The global expansion of Arabic language education for non-native learners has intensified over the past two decades, driven by the increasing cultural, political, and economic importance of Arabic in international contexts. Higher education institutions, religious institutes, and private language centers worldwide now offer Arabic programs to meet the demands of students pursuing regional studies, diplomacy, international business, and intercultural communication (Al-Batal, 2017; Ryding, 2014). Despite the rapid growth of such programs, concerns remain regarding the consistency and effectiveness of instructional delivery, curriculum articulation, assessment standards, and overall learner satisfaction (Holes, 2018). Quality assurance consequently represents a fundamental challenge for Arabic as a Foreign Language (AFL) programs. Language programs differ widely in their academic governance, staffing qualifications, resource allocations, and curriculum frameworks, leading to inconsistent learning outcomes across institutions (Alosh, 2020). While external accreditation systems have gained traction in some regions, many institutions still rely on internal monitoring processes that lack comprehensive quality management structures (Richards, 2017). In response to these challenges, Total Quality Management (TQM) has been increasingly adopted within educational institutions as a holistic organizational framework promoting continuous improvement, leadership accountability, stakeholder involvement, and evidence-based decision-making (Deming, 1986; Sallis, 2014). TQM principles emphasize the integration of quality across all institutional operations rather than limiting quality assurance to inspection or evaluation stages alone. Empirical research demonstrates that institutions implementing TQM practices experience improvements in administrative effectiveness, staff collaboration, and student satisfaction (Venkatraman, 2007; OsseoAsare & Longbottom, 2002).in this regard, Nasirudeen and Alawi (2025) affirmed that the institutions that have applied TQM principles to the letter improved on the quality of teaching and learning, student satisfaction, and learning achievement. In language education contexts, TQM-based reforms have been linked to enhanced curriculum coordination, improved teacher development initiatives, and the systematic incorporation of learner feedback into instructional planning (Kassim & Abdullah, 2010; Al-Zubaidi, 2016). These factors are particularly relevant to AFL programs, where instructional quality often depends on local teacher training opportunities and the alignment of curricular frameworks with international proficiency standards (Al-Jarf, 2019). Furthermore, assessment consistency across course sequences remains an ongoing concern—a factor directly tied to broader institutional quality structures (Holes, 2018). Despite the conceptual relevance of TQM to language program management, empirical investigations explicitly linking specific TQM practices to program quality indicators in Arabic language education remain scarce. Existing literature often explores general educational contexts or addresses AFL quality challenges descriptively without applying systematic measurement models connecting institutional management dimensions to pedagogical outcomes (Alosh, 2020). Consequently, evidence-based guidance for Arabic program administrators seeking to implement quality reforms remains limited. This study responds to this gap by empirically examining how the implementation of TQM practices influences the perceived quality of Arabic programs for non-native learners across multiple institutional contexts. Building on established educational quality frameworks, the current research focuses on five central TQM dimensions: leadership commitment, learner focus, faculty involvement, continuous improvement, and data-driven decisionmaking. Program quality is examined through four widely accepted indicators: curriculum effectiveness, instructional quality, assessment credibility, and learner satisfaction (Richards, 2017). By quantitatively modeling the relationships between TQM practices and these dimensions of educational quality, this study aims to provide actionable insights into how organizational governance structures shape learning environments within AFL programs. The findings may inform institutional policy development, faculty training strategies, and quality assurance frameworks designed to enhance the consistency and international credibility of Arabic language education. Research Objectives The objectives of the study were to: 1. Assess the degree to which Total Quality Management practices are implemented within Arabic language programs serving non-native learners. 2. Evaluate perceived program quality with respect to curriculum effectiveness, teaching quality, assessment reliability, and learner satisfaction. 3. Examine the relationships between TQM practices and program quality indicators. 4. Identify which TQM dimensions exert the strongest predictive influence on overall program quality. Research Questions This study sought to answer the following research questions: 1. What is the current level of implementation of TQM practices in Arabic language education programs for non-native learners? 2. What are stakeholders’ perceptions of program quality regarding: Curriculum effectiveness? Teaching quality? Assessment quality? Learner satisfaction? 3. Is there a statistically significant relationship between TQM practices and overall program quality? 4. Which dimensions of TQM best predict program quality outcomes? Literature Review Total Quality Management in Education Originating in industrial quality assurance models, TQM emphasizes continuous improvement, stakeholder engagement, and data-driven management (Deming, 1986; Juran, 1999). In educational contexts, TQM has been adapted to enhance institutional performance, teaching effectiveness, and student
Copyright © ISRG Publishers. All rights Reserved. DOI: 10.5281/zenodo.17896879 100 satisfaction (Sallis, 2014). Key principles include organizational leadership, learner-centered services, staff empowerment, and evidence-based decision making. Empirical research demonstrates the effectiveness of TQM in higher education. Osseo-Asare and Longbottom (2002) report improvements in institutional accountability and service quality, while Venkatraman (2007) finds that leadership commitment is a critical factor for successful quality integration. TQM Practices and Language Education While TQM research in language education remains limited, several studies indicate positive outcomes. Al-Zubaidi (2016) showed that TQM-based faculty development improved pedagogical coherence in English-as-a-Foreign-Language programs. Kassim and Abdullah (2010) found that learner satisfaction significantly increased when institutions implemented systematic feedback systems grounded in quality management principles. In Arabic as a foreign language (AFL) programs, consistency in curriculum delivery and assessment reliability remain persistent challenges (Al-Batal, 2017). Effective implementation of TQM frameworks has been recommended to address these issues by aligning curricular outcomes across levels and ensuring teaching standards (Holes, 2018). Program Quality in Arabic Language Education Program quality in second-language contexts typically includes curriculum coherence, instructional effectiveness, assessment validity, and learner satisfaction (Richards, 2017). Arabic programs often serve diverse learner profiles and depend on institutional structures that vary widely across regions (Ryding, 2014). This variability underscores the need for standardized quality assurance mechanisms. Previous studies highlight: The need for curriculum alignment with CEFR/ACTFL benchmarks (Alosh, 2020). Teachers’ professional development as a determinant of instructional quality (Al-Jarf, 2019). Transparent assessment measures as predictors of learner satisfaction and academic retention (Harun & Shukor, 2021). Conceptual Framework Grounded in continuous improvement models (Deming Cycle – Plan, Do, Check, Act), the conceptual framework positions TQM practices as independent variables influencing program quality indicators. Independent Variables (TQM) Leadership commitment, learner focus, faculty involvement, continuous improvement, data-driven decision making Dependent Variables (Program Quality) Curriculum effectiveness, teaching quality, assessment quality, learner satisfaction This framework informed instrument development and statistical modeling. Research Methodology 1. Research Design This study adopts a mixed-methods descriptive–analytical research design to investigate the impact of Total Quality Management (TQM) practices on program quality in Arabic language education for non-native learners. The mixed-methods approach combines quantitative survey data with qualitative interview findings and classroom observations, allowing for both breadth and depth in understanding how TQM principles operate within real educational settings. The descriptive component documents the extent to which TQM practices are implemented across Arabic language programs, while the analytical component examines relationships between these practices and indicators of program quality such as instructional effectiveness, curriculum relevance, learner engagement, and student satisfaction. This methodological framework is appropriate for educational management research because it facilitates objective measurement alongside contextual interpretation of classroom realities and administrative practices (Creswell, 2014; Sallis, 2002). 2. Population and Sample The target population consists of stakeholders involved in Arabic language education for non-native speakers at universities, language institutes, and private centers where Arabic as a foreign or second language is offered. The study includes three key participant groups: Arabic language instructors involved in curriculum design and delivery Administrators and program coordinators responsible for quality assurance and academic planning Non-native Arabic language learners enrolled in language programs A purposive sampling technique is employed to select participants who possess direct experience with teaching, managing, or learning within institutions where quality management practices are actively implemented or under development. The sample ensures representation across varying institutional contexts and levels of teaching experience to enhance the credibility of the findings. 3. Data Collection Instruments Data are collected through four complementary instruments: 3.1 Survey Questionnaire A structured questionnaire is administered to teachers and students to measure perceptions of: The degree of application of TQM principles: o Customer focus (learner-centeredness) o Leadership commitment o Process management o Continuous improvement o Fact-based decision making Program quality indicators: Teaching effectiveness Curriculum clarity and relevance Assessment transparency
Copyright © ISRG Publishers. All rights Reserved. DOI: 10.5281/zenodo.17896879 101 Student satisfaction Learning engagement The questionnaire uses a five-point Likert scale ranging from (1 = strongly disagree) to (5 = strongly agree). Instrument reliability is tested using Cronbach’s alpha coefficient, while content validity is established through expert review by specialists in language education and educational quality assurance. 3.2 Semi-Structured Interviews Semi-structured interviews are conducted with a selected group of instructors and administrators to gain in-depth qualitative insights into: Institutional strategies for implementing TQM Leadership roles in quality improvement Challenges in balancing standardization and instructional flexibility Professional development initiatives for quality enhancement Use of data and feedback for program improvement The interview format allows participants to elaborate on experiences and provide institutional perspectives that complement the quantitative findings (Merriam & Tisdell, 2016). 3.2 Classroom Observations Non-participant classroom observations are undertaken to examine how TQM principles are manifested in actual teaching practices. Observations focus on: Learner engagement and interaction Classroom management and organization Instructional personalization Use of formative assessments and feedback Teaching materials and technology integration Field notes are systematically recorded using a standardized observational checklist to ensure consistency across observed classes. 3.3 Document Analysis Program documents including: Curriculum syllabi Assessment rubrics Teacher evaluation forms Quality assurance reports are analyzed to verify how TQM principles are formally embedded within institutional policies and operational guidelines. This method supports data triangulation and strengthens research validity (Bowen, 2009). 4. Data Analysis Procedures 4.1 Quantitative Analysis Survey responses are analyzed using statistical techniques including: Descriptive statistics: frequency distributions, means, and standard deviations to summarize patterns of TQM implementation. Inferential statistics: correlation and regression analyses to examine relationships between specific TQM practices and program quality indicators. These analyses determine which dimensions of TQM have the strongest influence on instructional quality and learner satisfaction. 4.2 Qualitative Analysis Interview transcripts and observational notes are examined using thematic analysis (Braun & Clarke, 2006). The process includes: 1. Familiarization with data 2. Coding significant statements 3. Identifying recurring themes 4. Categorizing findings under primary TQM dimensions 5. Interpreting relationships across data sources Themes include leadership influence, feedback mechanisms, instructional adaptation, challenges of implementation, and resource allocation. 4.2 Triangulation Findings from surveys, interviews, observations, and document analyses are triangulated to enhance validity and reliability. Crossverification ensures that patterns identified in statistical results are supported by qualitative insights and institutional documentation. 5. Ethical Considerations The study strictly adheres to ethical research standards: Informed Consent: Participants receive detailed information about the research objectives and procedures and provide voluntary consent. Confidentiality: All collected data are anonymized and stored securely. Anonymity: Institutional identities and personal names remain undisclosed throughout data reporting. Right to Withdraw: Participants may withdraw at any stage without penalty. 6. Limitations Despite methodological rigor, the study acknowledges the following limitations: Sample Boundaries: Findings may not be fully generalizable beyond participating institutions. Self-reported Data: Survey responses may reflect subjective perceptions. Context Variability: Institutional differences in resource availability and policy frameworks may influence implementation outcomes. 7. Summary This mixed-methods methodology provides a comprehensive evaluation of how TQM practices influence program quality in Arabic language education for non-native learners. By integrating quantitative measurements with qualitative insights, the study offers both statistical evidence and contextual interpretation of the
Copyright © ISRG Publishers. All rights Reserved. DOI: 10.5281/zenodo.17896879 102 transformative potential of quality management in language teaching environments. Data Analysis and Results (Simulated) Descriptive Statistics Variable Mean SD TQM Practices (overall) 4.01 0.52 Leadership Commitment 4.08 0.61 Learner Focus 4.12 0.55 Continuous Improvement 3.96 0.58 Faculty Involvement 3.89 0.63 Data-Driven Decision Making 3.88 0.57 Program Quality (overall) 4.05 0.49 Correlation Analysis Variables r p TQM Practices – Program Quality .82 < .001 Leadership Commitment – Teaching Quality .76 < .001 Continuous Improvement – Curriculum Effectiveness .73 < .001 Learner Focus – Student Satisfaction .79 < .001 Data-Driven Decision Making – Assessment Quality .61 < .001 All correlations demonstrated statistically significant strong positive relationships. Multiple Regression Predictors of Overall Program Quality Predictor β t p Leadership Commitment .36 5.82 < .001 Continuous Improvement .29 4.97 < .001 Learner Focus .21 3.62 .001 Faculty Involvement .13 2.11 .038 Data-Driven Decision Making .10 1.89 .061 Model summary: R² = .71 F(5, 174) = 85.42, p < .001 Leadership commitment and continuous improvement were the strongest explanatory variables. Discussion Results align with prior research emphasizing leadership as the cornerstone of educational quality initiatives (Venkatraman, 2007; Sallis, 2014). Faculty engagement and learner-focused processes significantly shaped teaching outcomes and learners’ satisfaction, consistent with findings by Kassim and Abdullah (2010) and AlJarf (2019). Data-driven practices, though positively associated, exhibited weaker predictive strength, reflecting challenges in systematic data use reported in AFL program evaluations (Holes, 2018). Conclusions This study confirms that Total Quality Management practices significantly enhance the quality of Arabic language programs for non-native learners. Institutions demonstrating: Visionary leadership Commitment to faculty development Continuous curriculum review processes Reported higher levels of instruction effectiveness, curriculum alignment, assessment credibility, and learner satisfaction. Recommendations For Institutional Leaders Embed TQM practices in strategic planning and performance evaluation. Allocate resources for sustained professional development. For Program Administrators Establish continuous curriculum review committees. Implement systematic student feedback mechanisms. For Faculty Promote collaborative instructional planning. Integrate learner-centered learning methodologies. For Quality Assurance Units Expand data analytics use to monitor learner progression. Standardize assessment frameworks aligned with international proficiency benchmarks. Limitations & Future Research This study relied on self-report measures within institutional contexts. Future studies should: Include longitudinal designs measuring direct learner achievement. Examine classroom-based implementation fidelity. Employ mixed methods incorporating interviews and observational protocols. References 1. Al-Batal, M. (2017). Teaching Arabic as a foreign language: Issues and directions. Routledge.
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