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Computer based training software

Technology category · O*NET

Computer based training software is a technology category in the O*NET database. Across U.S. occupations, 110 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 63rd percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.

A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.

Example software & tools

Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.

Software / tool Occupations Tags
Learning management system LMS 47 In demand
Blackboard Learn 40
Desire2Learn LMS software 39
Course management system software 38
Sakai CLE 38
Moodle 32
Schoology 19
Padlet 17
Common Curriculum 14
Children's educational software 9
EasyCBM 8
Quizlet 8
Appletree 7
Blackboard software 7
Adobe Captivate 6
Text to speech software 6
Articulate Rapid E-Learning Studio 4
Educational software 4
Instructure Canvas 4
Adobe Presenter 3
Edulastic 3
InScribe 3
Rethink Ed 3
SumTotal Systems ToolBook 3
Alchemy Systems SISTEM 2
Beeline Learning Management System LMS 2
Blatant Media Absorb LMS 2
Brainshark Rapid Learning 2
Cobent Learning and Compliance Suite LCS 2
Computer Generated Solutions Learning Management System 2
Cornerstone OnDemand Cornerstone Learning 2
EZ LCMS 2
Eedo Knowledgeware Eedo Force Ten 2
ElearningForce JoomlaLMS 2
FlexTraining Total e-Learning Solution 2
G-Cube Solutions Wizdom Web LMS 2
GeoMetrix Data Systems Training Partner 2
ICS Learning Group Inquisiq EX 2
Ikonami AT-Learning Tool 2
Inspired eLearning iLMS 2

Showing the top 40 of 126 products in this category.

Occupations that use Computer based training software

Showing 40 of 110 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 40 occupations in occupations that use Computer based training software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Boilermakers Animal Breeders Fast Food and Counter Workers First-Line Supervisors of Food Preparation and Serving Workers Coaches and Scouts Career/Technical Education Teachers, Secondary School Career/Technical Education Teachers, Postsecondary Education Administrators, Kindergarten through Secondary Entertainment and Recreation Managers, Except Gambling Child, Family, and School Social Workers Art, Drama, and Music Teachers, Postsecondary Agricultural Sciences Teachers, Postsecondary Anthropology and Archeology Teachers, Postsecondary Education Teachers, Postsecondary Economics Teachers, Postsecondary AI task-overlap percentile → ↑ Median pay
Occupations that use Computer based training software, by AI task-overlap and median pay

How AI is used by roles that use Computer based training software

A software category is not itself "being automated" — but we can look at the roles that report using Computer based training software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 72.7% of the 110 roles that use this category carry observed AI-usage data (80 roles).

Across those roles, 63.8% of AI conversations are people working with AI and 32.8% hand a task to AI , with an average autonomy of 3.68 / 5.

Collaboration pattern Share What it means
task iteration 35.8% you and AI go back and forth
directive 31.3% AI does it; you give the instruction
learning 17.5% you ask AI to explain or teach
validation 10.5% you do it; AI checks your work
feedback loop 1.4% AI does it, then adjusts from your feedback

Roles behind this signal

The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Works with AI Autonomy
English Language and Literature Teachers, Postsecondary 63.2% 4.0/5
Biological Science Teachers, Postsecondary 63.2% 4.0/5
Editors 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 65.2% 3.0/5
Educational, Guidance, School, and Vocational Counselors 70.6% 4.0/5
Technical Writers 54.2% 4.0/5
Recreation and Fitness Studies Teachers, Postsecondary 66.2% 3.3/5
Social Work Teachers, Postsecondary 67.2% 3.5/5
Philosophy and Religion Teachers, Postsecondary 66.8% 3.3/5
Education Teachers, Postsecondary 65.3% 3.5/5
Instructional Coordinators 53.1% 4.0/5
Geography Teachers, Postsecondary 65.7% 3.3/5

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Computer based training software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.

Industries that concentrate this

Where Computer based training software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Computer based training software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.

Nationally, about 19.1% of workers are in occupations that significantly use Computer based training software (measured across 66 industries).

Sectors with the most such workers

Sector Workers Employment reach
Educational Services 8,383,100 61.5%
Accommodation and Food Services 5,001,390 35.1%
Professional, Scientific, and Technical Services 2,553,100 23.7%
Health Care and Social Assistance 2,405,010 10.4%
Retail Trade 1,403,910 9.0%
Finance and Insurance 1,298,660 20.9%
Administrative and Support and Waste Management and Remediation Services 1,117,940 12.4%
Information 971,960 33.4%
Manufacturing 786,730 6.2%
Management of Companies and Enterprises 703,900 25.1%
Wholesale Trade 616,910 10.2%
Construction 490,360 6.0%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Educational Services Sector 3.22× 61.5%
Accommodation and Food Services Sector 1.84× 35.1%
Direct Health and Medical Insurance Carriers National industry 1.82× 34.7%
Information Sector 1.75× 33.4%
Research and Development in the Social Sciences and Humanities National industry 1.57× 30.0%
Offices of Physical, Occupational and Speech Therapists, and Audiologists National industry 1.45× 27.7%
Management of Companies and Enterprises Sector 1.31× 25.1%
Newspaper Publishers National industry 1.25× 23.9%
Professional, Scientific, and Technical Services Sector 1.24× 23.7%
Fitness and Recreational Sports Centers National industry 1.14× 21.7%
Insurance Agencies and Brokerages National industry 1.13× 21.5%
Finance and Insurance Sector 1.09× 20.9%

Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Computer based training software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/computer-based-training-software

APA

Singulariki. (2026). Computer based training software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/computer-based-training-software

BibTeX
@misc{singulariki-computer-based-training-software,
  title  = {Computer based training software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/tools/computer-based-training-software}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.