SYSTEMATIC EVALUATION OF TECHNOLOGY-ENHANCED LEARNING ENVIRONMENTS: A COMPREHENSIVE REVIEW OF FRAMEWORKS, METRICS, AND ETHICAL CONSIDERATIONS

Abstract

From school systems to job trainings, the proliferation of technology is overwhelming. The big
question is ‘how do we distinguish the signal from noise? This paper provides a comprehensive,
scholarly review of the systematic evaluation of Technology-Enhanced Learning (TEL) environments.
It establishes a foundational understanding of both TEL and systematic evaluation as a structured,
data-driven, and repeatable process. The research synthesizes and critically analyzes prominent
theoretical frameworks, including the foundational Kirkpatrick Model and the more holistic Cook and
Ellaway framework. It delineates key metrics and criteria for assessment, spanning pedagogical,
technical, and financial dimensions, and highlights the shift from lagging to leading indicators.
Through an examination of case studies and lessons from both successful and unsuccessful
implementations, the paper explores major challenges, such as the silver bullet fallacy and the pitfalls
exposed by the COVID-19 pandemic. A critical discussion of ethical and security imperatives,
particularly in the context of AI-powered tools, reveals a fundamental tension between innovation and
principles of privacy, equity, and human oversight. The review concludes by identifying significant
research gaps, chief among them the absence of a standardized, comprehensive evaluation
methodology, and proposes a pathway toward a more integrated, agile, and holistic approach for
future TEL assessment.