Timing Strategies for Robot-Child Instruction: A Field Study

Timing Strategies for Robot-Child Instruction: A Field Study | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 4 December 2025 V1 Latest version Share on Timing Strategies for Robot-Child Instruction: A Field Study Authors : Zakir Khan , Yu Ji 0009-0009-0173-1917 [email protected] , and Boyi Chen Authors Info & Affiliations https://doi.org/10.22541/au.176487089.95082507/v1 186 views 95 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In our comprehensive field study, we thoroughly evaluate the effectiveness of various timing strategies utilized by the autonomous robot tutoring system. These strategies include a traditional fixed timing regimen, a reward-based strategy that adjusts break timing based on performance improvements, and a refocus strategy that intervenes during periods of performance decline. By carefully analyzing the outcomes and efficacy of each approach, we aim to gain valuable insights into the nuanced relationship between personalized timing and learning outcomes in the context of robot-child tutoring. The results of our study reveal the significant impact of personalized timing strategies on optimizing learning and highlight the transformative potential of robotics technology in educational settings. Beyond improving academic performance, our findings are expected to inform the development and implementation of more advanced and adaptive tutoring systems, ultimately revolutionizing how educational content is delivered and customized to meet the diverse needs of learners. Supplementary Material File (timing_strategies_for_robot_child_instruction__a_field_study.pdf) Download 1.21 MB Information & Authors Information Version history V1 Version 1 04 December 2025 Copyright This work is licensed under a Creative Commons PublicDomain Zero 1.0 Universal License Keywords affective computing ai tutoring artificial intelligence education human robot interaction machine learning Authors Affiliations Zakir Khan View all articles by this author Yu Ji 0009-0009-0173-1917 [email protected] View all articles by this author Boyi Chen View all articles by this author Metrics & Citations Metrics Article Usage 186 views 95 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Zakir Khan, Yu Ji, Boyi Chen. Timing Strategies for Robot-Child Instruction: A Field Study. Authorea . 04 December 2025. DOI: https://doi.org/10.22541/au.176487089.95082507/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')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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