POLICY-DRIVEN SMART CLASSROOM FRAMEWORK FOR SUSTAINABLE ACADEMIC GOVERNANCE AND PERFORMANCE MANAGEMENT IN HIGHER EDUCATION

Higher education institutions increasingly rely on digital technologies to enhance operational efficiency,student engagement, and academic performance. However, most existing smart classroom and attendancesystems remain administratively oriented, focusing on automation rather than embedding governance, policyenforcement, and performance management within academic workflows. This paper addresses this gap byproposing a *policy-driven smart classroom framework* that reconceptualizes attendance as a core component of sustainable academic governance and performance management in higher education. The proposed framework integrates attendance, participation, and reporting into a structured classroom lifecycle consistingof five stages: before class, start of class, during class, after class, and reporting. Unlike conventionalinstructor-managed attendance practices, the framework emphasizes *system-controlled, student-initiatedprocesses*, ensuring consistency, transparency, and accountability across courses and instructors. Attendanceis not treated as an isolated administrative record but is dynamically linked to learning activities,instructional delivery, and real-time policy enforcement. By embedding attendance within classroom activitiesand learning assessments, the framework generates reliable and structured data that supports academicdecision-making at both course and program levels. These data enable monitoring of key performanceindicators, including student engagement, learning validation, instructional practices, and faculty workload.The framework also reduces manual administrative burdens on instructors, allowing greater focus on teachingquality and instructional development. The study adopts a conceptual and analytical approach, drawing onprior research in smart attendance systems, academic governance, and performance management. While thepaper does not empirically evaluate the framework, it establishes a theoretical foundation for futureimplementation and assessment across diverse institutional contexts. The proposed framework contributes tothe literature by advancing attendance systems from operational tools to governance-driven mechanisms thatsupport sustainable academic quality assurance, transparency, and performance management in highereducation

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18493500
Primary Topic
Innovations in Educational Methods
Type
article
Field-Weighted Citation Impact
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article

POLICY-DRIVEN SMART CLASSROOM FRAMEWORK FOR SUSTAINABLE ACADEMIC GOVERNANCE AND PERFORMANCE MANAGEMENT IN HIGHER EDUCATION

Rania A. Baashirah
Zenodo (CERN European Organization for Nuclear Research)
Innovations in Educational Methods
article

POLICY-DRIVEN SMART CLASSROOM FRAMEWORK FOR SUSTAINABLE ACADEMIC GOVERNANCE AND PERFORMANCE MANAGEMENT IN HIGHER EDUCATION

Rania A. Baashirah
article en

Abstract

Higher education institutions increasingly rely on digital technologies to enhance operational efficiency,student engagement, and academic performance. However, most existing smart classroom and attendancesystems remain administratively oriented, focusing on automation rather than embedding governance, policyenforcement, and performance management within academic workflows. This paper addresses this gap byproposing a *policy-driven smart classroom framework* that reconceptualizes attendance as a core component of sustainable academic governance and performance management in higher education. The proposed framework integrates attendance, participation, and reporting into a structured classroom lifecycle consistingof five stages: before class, start of class, during class, after class, and reporting. Unlike conventionalinstructor-managed attendance practices, the framework emphasizes *system-controlled, student-initiatedprocesses*, ensuring consistency, transparency, and accountability across courses and instructors. Attendanceis not treated as an isolated administrative record but is dynamically linked to learning activities,instructional delivery, and real-time policy enforcement. By embedding attendance within classroom activitiesand learning assessments, the framework generates reliable and structured data that supports academicdecision-making at both course and program levels. These data enable monitoring of key performanceindicators, including student engagement, learning validation, instructional practices, and faculty workload.The framework also reduces manual administrative burdens on instructors, allowing greater focus on teachingquality and instructional development. The study adopts a conceptual and analytical approach, drawing onprior research in smart attendance systems, academic governance, and performance management. While thepaper does not empirically evaluate the framework, it establishes a theoretical foundation for futureimplementation and assessment across diverse institutional contexts. The proposed framework contributes tothe literature by advancing attendance systems from operational tools to governance-driven mechanisms thatsupport sustainable academic quality assurance, transparency, and performance management in highereducation

Zenodo (CERN European Organization for Nuclear Research)
Software (Spain) (ES)
Openalex Percentile: Top 67%
Innovations in Educational Methods
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