How Do Standards of Financial Education in States with Mandatory Standalone Financial Courses Align with the Council for Economic Education?

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher
Full text 6,505 characters · extracted from preprint-html · click to expand
How Do Standards of Financial Education in States with Mandatory Standalone Financial Courses Align with the Council for Economic Education? | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 April 2025 V1 Latest version Share on How Do Standards of Financial Education in States with Mandatory Standalone Financial Courses Align with the Council for Economic Education? Authors : Ethan Wind 0009-0007-6385-6120 [email protected] and Sanford H Calhoun Authors Info & Affiliations https://doi.org/10.22541/au.174405219.99979134/v1 224 views 157 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This study aims to improve financial education nationwide. Using a natural language processing approach, the researcher converted state financial literacy standards and the National Standards for Personal Financial Education developed by the Council for Economic Education (CEE) into machine-readable formats and applied OpenAI's text-embedding-ada-002 model to calculate cosine similarity scores between state and national standards. A random sample of 100 scores was manually inspected, yielding a precision rate of 85-96% through a 95% confidence interval. Results show significant variation in alignment across states and subjects, with categories like investing and managing credit being the most underrepresented. This scalable, semi-automated procedure offers a replicable framework for curriculum writers and evaluators to find specific gaps in the material, allowing them to improve financial education. Supplementary Material File (how_do_standards_of_financial_education_in_states_with_mandatory_standalone_financial_courses_align_with_the_council_for_economic_education.pdf) Download 1.83 MB Information & Authors Information Version history V1 Version 1 07 April 2025 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords cosine similarity curriculum alignment education policy financial literacy nlp Authors Affiliations Ethan Wind 0009-0007-6385-6120 [email protected] View all articles by this author Sanford H Calhoun View all articles by this author Metrics & Citations Metrics Article Usage 224 views 157 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Ethan Wind, Sanford H Calhoun. How Do Standards of Financial Education in States with Mandatory Standalone Financial Courses Align with the Council for Economic Education?. Authorea . 07 April 2025. DOI: https://doi.org/10.22541/au.174405219.99979134/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); Cited by Sungsoo Lee, Hyoduk Shin, Hakyeon Lee, Translate patent vacancies into human-readable texts: Identifying technology opportunities with text embedding inversion, Advanced Engineering Informatics, 68 , (103661), (2025). https://doi.org/10.1016/j.aei.2025.103661 Crossref Loading... View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.174405219.99979134/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ffdb745f8bbad07',t:'MTc3OTQ3Mjc3OQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-23T02:00:01.238055+00:00
License: CC-BY-4.0