مجلة علوم اللغة العربية وآدابها
Volume 18, Numéro 2, Pages 581-599
2026-09-15
The Digital Turn In Algerian Research: A Critical Review Of Tools For Data Collection And Analysis In Higher Education And Scientific Research
Authors : Maatar Souad .
Abstract
This paper addresses the critical and often overlooked challenges associated with the implementation and uncritical appropriation of digital research tools within the unique context of Algerian higher education. While widely available platforms such as SurveyMonkey, NVivo, and SPSS offer the alluring promise of unprecedented efficiency, their apparent user-friendliness frequently conceals profound methodological, epistemological, and ethical limitations. We contend unequivocally that without a deep, critical understanding of these tools' underlying assumptions, inherent biases, and precise operational mechanics, Algerian researchers—particularly the burgeoning cohort of doctoral students—risk producing scholarly work that is superficial, lacking in rigor, potentially invalid, and, at worst, ethically compromised. This paper provides a meticulously structured critical review of key digital platforms, systematically organized by their distinct functions within the empirical research process: survey administration for quantitative data collection, advanced software for qualitative data analysis, and statistical packages for quantitative data analysis. For each category, we undertake a detailed analysis of the ostensible advantages, critically juxtaposing them against their often-understated and subtle limitations, illustrating these points with specific examples highly relevant to the Algerian research environment. Ultimately, we articulate a comprehensive set of guiding principles explicitly designed to empower Algerian researchers and doctoral schools to transition from a passive, uncritical utilization of these digital instruments to their thoughtful, critically informed, and methodologically sound appropriation.
Keywords
Digital Tools ; Algerian Higher Education ; Data Collection ; Data Analysis ; Critical Digital Literacy ; Research Ethics ; Technological Determinism
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