Aug 2026· Journal of Education and Learning Environments· 0 citations· 41 references
TL;DR
A context is established in which reflective classroom surveys can help teachers implement process-based grading structures to empower students in their growth as authentic learners instead of defaulting to passive users of AI.
Abstract
The rapid saturation of research on Artificial Intelligence (AI) in the classroom reflects concerns with the even more rapidly developing AI in many aspects of society. Framing the parameters of AI literacy can serve as an important context within which educators can guide students toward critical engagement with AI tools in order to develop their self-directed learning. Before this can happen, however, an aspect to consider in order to harness the potential of AI tools includes the necessity of aligning grading practices with self-directed learning. This article explores how such an alignment may foster a learning environment that shifts the use of AI away from merely generating substitutive text and toward actually harnessing its potential as a tool for helping authentic learning to happen. Drawing on relevant research and two survey responses from secondary students, this article aims to establish a context in which reflective classroom surveys can help teachers implement process-based grading structures to empower students in their growth as authentic learners instead of defaulting to passive users of AI. In such a context, the secondary classroom would remove the barriers created by hierarchical grading practices, evolve with emergent technology, train students to interact meaningfully and ethically with it, and ultimately prepare them for the ongoing challenges of using AI in the humanities and society, overall.
The paper proposes a set of guiding principles derived from the identified tensions, emphasising teacher-mediated interaction, developmental calibration of AI use, transparency, curriculum alignment, privacy protection and equity considerations, which provide a structured basis for integrating AI in ways that support l...
A framework for course design that uses the principles of andragogy to create an assessment system I have dubbed “gamified grading” that promotes students with diverse motivations and learning styles to become invested in achieving the SLOs without relying on generative AI.
Kurtis Hanlon· Proceedings of the H-Net Tea...· 0 citations
This article re-examines the role of assessment within the rapidly evolving landscape of artificial intelligence (AI), focusing specifically on differentiated instruction, and highlights the potential of AI to not only streamline the assessment process but also cultivate a more equitable and student-centered learning e...
H. Trinh· VNU Journal of Foreign Studi...· 0 citations
It is argued that students' needs matter on their own, the field should start from what students need when deciding how to use AI in design education, and good educational frameworks should be anchored in the learner, not driven by technology.
The study highlights the need to move beyond the binary question of whether teachers should use AI or not towards exploring how feedback activities and teacher AI use could be designed and operated in ways that maintain and even enhance care, trust, and human connections central to effective feedback processes.
Jia-Hui Luo, S. Eaton· Journal of University Teachi...· 1 citation
Teachers express concerns about equity and the credibility of AI tools, indicating a hesitation to fully embrace AI in the classroom, and highlight the importance of targeted professional development to equip teachers with the competencies needed to incorporate AI into their practice.
Annika Käck, Helena Hemmingsson, Joacim Ramberg et al.· Journal of Special Education...· 0 citations
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