{"id":2300,"date":"2026-07-13T16:14:25","date_gmt":"2026-07-13T07:14:25","guid":{"rendered":"https:\/\/iotpaper.wacom.one\/wdprs\/?page_id=2300"},"modified":"2026-08-21T11:08:53","modified_gmt":"2026-08-21T02:08:53","slug":"ashita-2","status":"publish","type":"page","link":"https:\/\/iotpaper.wacom.one\/wdprs\/en\/ashita-2\/","title":{"rendered":"ASHITA_en"},"content":{"rendered":"\n
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Automatic Scoring AI
for Handwritten Answers<\/span><\/p>\n<\/div><\/div>\n\n\n\n

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Automatic scoring AI \u201cASHITA\u201d
scores the handwritten answers
with speed and precision
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Digitize the handwritten answers
accurately by \u201cIoT Paper\u201d<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

Scoring AI \u201cASHITA\u201d and digital answering sheet
\u201cIoT Paper\u201d provides automatic scoring function of
handwritten answers and a truly paperless flow
for existing learning management system(LMS)<\/p>\n\n\n\n

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With IoT Paper, both the test materials and answers are entirely digital.
Grading results are also provided as immediate feedback via the network.<\/p>\n\n\n\n

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Digitalized educational material<\/p>\n\n\n\n

idpmlIDPML file\u3014<\/mark>ext. idpml\u3015<\/mark><\/mark><\/p>\n\n\n\n

This file includes image data of answer boxes or scoring data such as expected
answers. One file per one page of IoT Paper.<\/p>\n\n\n\n

Binder file\u3014<\/mark>ext. xml\u3015<\/mark><\/mark><\/p>\n\n\n\n

This file specifies the education material structure with multiple pages corresponding to the number of IDPML files. It specifies the image file,
movie file or sound file that are played on the smart phone too.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Learning Management System (LMS)<\/p>\n\n\n\n

LMS manages material, progress, record, student's progress and other educational records. \u201cASHITA\u201d and \u201cIoT Paper\u201d provide handwriting answers and its automatic scoring environment with paperless flow to the scoring support system.<\/p>\n<\/div>\n\n\n\n

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Automatic scoring AI
for handwritten answers \u201cASHITA\u201d<\/p>\n\n\n\n

\u201cASHITA\u201d is an AI system that scores the handwritten answers automatically.
It achieves high recognition accuracy by combining offline character
recognition (OCR) and online recognition using chronological data made by IoT Paper.
Automatic scoring AI developed by Tokyo University of Agriculture and
Technology can score the graph, figure, circle in or underline characters etc.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Automated Grading Cloud [ASHITA] Specifications<\/p>\n\n\n\n

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Automatically Scorable Handwritten Answers (Elementary & Junior High School)<\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Subject<\/th>Answers can be scored<\/th>Commercialize<\/th>\n<\/tr>\n<\/thead>\n
All Subjects<\/td>Circle the right answer, etc.<\/td>Status<\/td>\n<\/tr>\n
Connect the related answers with a line<\/td>\u25cf<\/td>\n<\/tr>\n
Underline the rihgt word<\/td>\u25cf<\/td>\n<\/tr>\n
Japanese including numbers and alphabet<\/td>\u25cf<\/td>\n<\/tr>\n
Numbers (Decimal, Fraction, Mixed fraction)<\/td>ready<\/td>\n<\/tr>\n
Numerical value (with unit , Km, gram, sheets, degree etc,)<\/td>ready<\/td>\n<\/tr>\n
Caluculation formula (20\/4=5 etc.)<\/td>ready<\/td>\n<\/tr>\n
English<\/td>Block letters<\/td>ready<\/td>\n<\/tr>\n
Japanese<\/td>Vertical writing Japanese<\/td>ready<\/td>\n<\/tr>\n
Vertical writing Japanese Kanji (chek the stroke order)<\/td>ready<\/td>\n<\/tr>\n
Math<\/td>Formula with letters like 3x+y=23)<\/td>ready<\/td>\n<\/tr>\n
Fromura with exponentiation<\/td>ready<\/td>\n<\/tr>\n
Drawing (Add a line to the illustration ex.clock hands)<\/td>ready<\/td>\n<\/tr>\n
Draiwng (ex. Developed views on a graph paper)<\/td>Under development<\/td>\n<\/tr>\n
Drawing (ex. Isosceles triangle wiith 4cm base \u00d7 7cm heihgt<\/td>Under development<\/td>\n<\/tr>\n
Draiwng (ex. Perpendicular bisector of segment AB)<\/td>Under investigation<\/td>\n<\/tr>\n
Graph (ex. Line graph, bar graph)<\/td>Under development<\/td>\n<\/tr>\n
Graph (ex. Pie chart)<\/td>Under investigation<\/td>\n<\/tr>\n
Ohters<\/td>Element symbols, ionic type, molecular formula<\/td>Under development<\/td>\n<\/tr>\n
chemical reaction formula, Benzene ring<\/td>Under investigation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

As of November 2025<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Automatically scoreable data format of handwritten answer<\/p>\n\n\n\n

The automatic scoring AI ASHITA can score the \u201cInk on Digitizing Paper Markup Language\u201d (IDPML) file which are generated from the handwriting captured on IoT Paper.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Interface with the Learning management system (LMS)<\/p>\n\n\n\n

Automatic scoring AI \u201cASHITA\u201d receives IDPML file in which IoT Paper has already been added the handwritten data. It outputs the IDPML file containing the scoring result to LMS.
The interface specification to the Learning Management System(LMS) is based on \u201cRepresentational State Transfer Application Programming Interface \u201c(REST API)<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Scoring AI \u201cASHITA\u201d and digital answering sheet\u201cIoT Paper\u201d provides automatic scoring function ofhandwritten a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":22,"comment_status":"closed","ping_status":"closed","template":"","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","vkExUnit_sitemap":"","_veu_custom_css":"","veu_display_promotion_alert":"","_exclude_from_list_pages":"","vkexunit_cta_each_option":"","vkExUnit_childPageIndex":"","vkExUnit_pageList_ancestor":"","vkExUnit_contact_enable":"","_lightning_design_setting":{"layout":"col-one-no-subsection"},"footnotes":""},"class_list":["post-2300","page","type-page","status-publish","hentry"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/pages\/2300","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/comments?post=2300"}],"version-history":[{"count":29,"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/pages\/2300\/revisions"}],"predecessor-version":[{"id":2605,"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/pages\/2300\/revisions\/2605"}],"wp:attachment":[{"href":"https:\/\/iotpaper.wacom.one\/wdprs\/wp-json\/wp\/v2\/media?parent=2300"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}