Aakash Kumar

Aakash Kumar

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Aakash Kumar has a total of 15 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Teacher Wastage in Pakistan: How Education Systems Employ Teachers but Lose Instructional Capacity

    by Aakash Kumar

    Pakistan has expanded teacher recruitment across its public education system over the past decade, yet policy and monitoring reports continue to document substantial rural, school-level, and subject-specific teacher shortages. In this article, I extend the concept of educational wastage to teachers, shifting attention from the loss of teachers to the loss or underuse of instructional capacity among formally employed teachers. I identify three forms of teacher wastage. Pre-deployment wastage occurs when appointment does not result in classroom instruction because teachers cannot take up or sustain placements, political influence directs placements away from school staffing needs, or teachers recorded as employed do not teach. Structural wastage occurs when teachers in schools are diverted from or misaligned with instruction through transfer instability, non-academic duties, or subject or grade-level misassignment. Erosive wastage occurs when teachers remain employed but lack adequate pedagogical preparation, induction, mentoring, or continuing professional support. Pakistan’s administrative systems track teacher positions, payroll, transfers, and attendance but provide limited evidence of whether employed teachers sustain classroom instruction. Illustrations from India, Nigeria, and Bangladesh suggest the framework’s relevance beyond Pakistan without claiming generalizability. Teacher wastage offers a basis for examining how education systems may retain teachers while losing instructional capacity.

  • Generative AI in Academic Publishing

    by Aakash Kumar, Debra McKeown, Hassan Syed, Cheryl J. Craig, William H. Rupley, Afaq Ahmed, Sahil Kashwani, Kamran Akhtar Siddiqui

    The authors present a qualitative comparative analysis of AI policies from five major academic publishers: Taylor & Francis, Elsevier, Sage, Wiley, and Springer Nature. They employed position statements of the Committee on Publication Ethics (COPE) as their analytical framework. Six key themes emerged: permitted AI use, prohibited AI use, disclosure requirements, AI as author and co-author, AI in peer review, and policy adaptability. They found substantial differences among publishers in defining acceptable AI use and disclosure requirements. While all publishers explicitly state that AI cannot claim authorship, their policies differ in permitted AI roles, particularly regarding peer review and manuscript preparation. These inconsistencies create ethical challenges for authors and reviewers. The study concludes by recommending clearer, discipline-specific guidelines and enhanced reviewer training to ensure responsible AI use for upholding scholarly integrity.

  • Generative AI in Academic Publishing

    by Aakash Kumar, Debra McKeown, Hassan Syed, Cheryl J. Craig, William H. Rupley, Afaq Ahmed, Sahil Kashwani, Kamran Akhtar Siddiqui

    The authors present a qualitative comparative analysis of AI policies from five major academic publishers: Taylor & Francis, Elsevier, Sage, Wiley, and Springer Nature. They employed position statements of the Committee on Publication Ethics (COPE) as their analytical framework. Six key themes emerged: permitted AI use, prohibited AI use, disclosure requirements, AI as author and co-author, AI in peer review, and policy adaptability. They found substantial differences among publishers in defining acceptable AI use and disclosure requirements. While all publishers explicitly state that AI cannot claim authorship, their policies differ in permitted AI roles, particularly regarding peer review and manuscript preparation. These inconsistencies create ethical challenges for authors and reviewers. The study concludes by recommending clearer, discipline-specific guidelines and enhanced reviewer training to ensure responsible AI use for upholding scholarly integrity.

  • Open Access

    Tale of Transitions: Experiences of a First-Year Ph.D. Asian Student in America

    by Aakash Kumar

    This autoethnographic account narrates my transition as a first-year Ph.D. student at Texas A&M University, USA. Employing Kurt Lewin’s Change Model, I have structured my narrative around three phases: (a) unfreeze, (b) change, and (c) refreeze. The unfreeze phase details the process of unlearning, adjusting to American academic practices, and the initial cultural shock intensified by homesickness. The change phase describes embracing a new identity, integrating into campus and cultural life, and overcoming academic challenges. Lastly, the refreezing phase involves consolidating new beliefs, perspectives, and skills, solidifying the transition to becoming a more confident and competent scholar. This autoethnographic account narrates the dilemmas and breakthroughs I encountered, with the aim of providing insights for future Asian students aspiring to pursue doctoral programs in the USA.

  • Open Access

    Beyond the Red Pen: Using Dynamic Assessment to Mediate Writing Mechanics Issues among ESL Learners

    by Aakash Kumar, William Rupley, Debra McKeown, Hassan Seyed, David Paige

    Introduction: Dynamic assessment has demonstrated effectiveness in enhancing writing skills among ESL learners and may be especially useful in the improvement of writing mechanics by enabling individualized mediation and adaptive instruction. The major objectives of the current study were to examine the effectiveness of dynamic assessment in reducing writing mechanics errors among Pakistani learners in their essay drafts. The study also explored how experimental group students perceive the mediational intervention and dynamic assessment as an alternative approach to static assessment in improving writing mechanics. Methodology:  To perform the study, a sequential explanatory design was used to explore the effect of dynamic assessment instruction on Pakistani ESL learners’ writing mechanics. The sequential explanatory design allowed us to understand the phenomenon under study more comprehensively by collecting both quantitative and qualitative data in sequence. The quantitative part of the study used an interventionist model, with a pretest-treatment-posttest design, while the qualitative part used semi-structured interviews. Following a quantitative test of the efficacy of treatment, the researchers interviewed the participants of the experimental group to investigate their perceptions of the mediation approach. The interviews were recorded, transcribed, and analyzed for recurring themes and sub-themes. Results: The quantitative findings of this study confirmed the significant impact of dynamic assessment and were consistent with previous research reporting it as an effective approach to improving writing skills. Regarding the qualitative findings, dynamic assessment positively affected students’ writing mechanics. Students reported that dynamic assessment could reduce writing anxiety, enhance self-efficacy, and provide ample opportunities to learn from their errors. Conclusion: The findings of the current study showed that the interaction between teachers and students during mediation significantly contributed to their writing development and helped them work toward self-regulation.