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p-Index From 2021 - 2026
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All Journal Jurnal Genesis Indonesia Advances in Psychological Sciences and Applications
Abdulwahab, Basel
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Religion Humanities Computer Science & IT Education Engineering Health Professions Neuroscience Social Sciences

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Hyper-Personalization and the Privacy Paradox: An Opinion-Based Academic Perspective Abdulwahab, Basel; Kumar T.P, Krishna
Advances in Psychological Sciences and Applications Vol. 1 No. 03 (2025): Advances in Psychological Sciences and Applications
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/apsa.v1i03.1373

Abstract

The rapid advancement of data-driven digital marketing has introduced unprecedented opportunities for hyper-personalization. This innovation allows marketers to tailor content and services to individual users in real time, enhancing engagement and customer satisfaction. However, the rise of hyper-personalization is accompanied by growing concerns regarding user data protection, commonly described as the privacy paradox. This paradox reflects the tension between consumers’ desire for personalized experiences and their apprehension about potential data misuse. This article provides an opinion-based discussion that analyzes the psychological implications of this phenomenon, highlighting how consumer trust, decision-making, and long-term loyalty may be affected. In doing so, the paper emphasizes the importance of balancing marketing effectiveness with ethical data practices. The article concludes with practical considerations for marketers navigating this dilemma, suggesting approaches that align personalization strategies with both consumer expectations and evolving standards of digital responsibility.
Teacher Data Literacy and Data-Driven Mathematics Instruction in Primary Education Vehachart, Rungchatchadaporn; Abdulwahab, Basel; Berngacha, Suhairee
Jurnal Genesis Indonesia Vol. 5 No. 02 (2026): Articles in Press - Jurnal Genesis Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jgi.002306

Abstract

This study investigates how primary school teachers develop and apply data literacy to support data-driven mathematics instruction in data-rich learning environments. A Systematic Literature Review (SLR) following PRISMA guidelines was conducted, synthesizing 42 peer-reviewed studies published between 2014 and 2025 across major academic databases. The review identifies three key themes. First, teacher data literacy is a multidimensional construct integrating data interpretation, statistical reasoning, and pedagogical decision-making, yet many teachers face challenges in translating data into instructional action. Second, barriers to data use are systemic, including limited training, complex analytics tools, time constraints, and weak institutional support. Third, effective strategies include structured data literacy training, simplified dashboards, collaborative inquiry through Professional Learning Communities (PLCs), and strong instructional leadership. This study integrates Data-Based Decision-Making (DBDM), Technological Pedagogical Content Knowledge (TPACK), and sociocultural perspectives into a unified framework, offering both theoretical insights and practical recommendations for developing sustainable data-driven mathematics teaching practices in primary education.
Co-Authors Berngacha, Suhairee Kumar T.P, Krishna Vehachart, Rungchatchadaporn