Unpacking Stereotypes in Educational Technology: Authentic Assessment in Cloud-Based Operations through a Marxist Lens

Potential Abstract: This research article examines the intersection of stereotypes, educational technology, and assessment practices in the context of cloud-based operations. Drawing on Marxist theory, the study explores how power dynamics, social constructions, and ideologies manifest in the design and implementation of assessment tools within educational technology platforms. Through a critical analysis of existing literature and case studies, this article seeks to uncover the ways in which stereotypes are perpetuated and reinforced through standard assessment practices in cloud-based operations, and proposes strategies for promoting more authentic assessment methods that challenge and disrupt these stereotypes. By centering the experiences and perspectives of marginalized groups, this research aims to contribute to a more equitable and inclusive educational technology landscape.

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