Effects of Neoliberalism on Computing Education Research and Practice

I explore Neoliberalism and its effects on Computing Education and Research. I begin the exploration by analyzing the impact of declining state funding for higher education. I discuss the following mechanisms used by higher-ed institutions to cope with declines in state support: managerial culture, increased students’ fees, privatization of research, adjunctification of teaching professors, audit culture, and Artificial Intelligence agents as teachers. I then explore the commodified state of education and research resulting in a sovereign student, debasement of academic standards, and a perversion of academic subjectivity. I discuss how the commodification results in a dehumanization of faculty and students which produces a compliance culture, loss of professional and pedagogical identities, loss of autonomy and public trust, and marginalization of equity, civic engagement, and critical inquiry. I analyze the reasons underlying a successful permeation of Neoliberalism in academia including portraying Neoliberalism as a class war, categorization of STEM fields as luxury commodities, exploring exploitation of foreign workers, and commenting about the academic Stockholm syndrome. I discuss about a super-cycle of suffering-exploitation caused by Neoliberal pressures. I conclude the discussion with some strategies that can be used by computing researchers and practitioners to salvage the Neoliberal situation.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Computing Education
Published
2025-09-09
DOI
https://doi.org/10.1145/3766901
Citations
3
Primary Topic
Digital Education and Society
Type
article
Field-Weighted Citation Impact
9.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Neoliberalism on Computing Education Research and Practice

Ananth A. Jillepalli
3 citations
ACM Transactions on Computing Education
Digital Education and Society
9.74
article

Effects of Neoliberalism on Computing Education Research and Practice

Ananth A. Jillepalli
article en
3 citations

Abstract

I explore Neoliberalism and its effects on Computing Education and Research. I begin the exploration by analyzing the impact of declining state funding for higher education. I discuss the following mechanisms used by higher-ed institutions to cope with declines in state support: managerial culture, increased students’ fees, privatization of research, adjunctification of teaching professors, audit culture, and Artificial Intelligence agents as teachers. I then explore the commodified state of education and research resulting in a sovereign student, debasement of academic standards, and a perversion of academic subjectivity. I discuss how the commodification results in a dehumanization of faculty and students which produces a compliance culture, loss of professional and pedagogical identities, loss of autonomy and public trust, and marginalization of equity, civic engagement, and critical inquiry. I analyze the reasons underlying a successful permeation of Neoliberalism in academia including portraying Neoliberalism as a class war, categorization of STEM fields as luxury commodities, exploring exploitation of foreign workers, and commenting about the academic Stockholm syndrome. I discuss about a super-cycle of suffering-exploitation caused by Neoliberal pressures. I conclude the discussion with some strategies that can be used by computing researchers and practitioners to salvage the Neoliberal situation.

ACM Transactions on Computing EducationVol. 25(4)
Washington State University (US)
Openalex Percentile: Top 2%
Digital Education and Society
9.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.