13197 research outputs found
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Generation of lung progenitor cells in vivo using a mouse model
奈良先端科学技術大学院大学博士(バイオサイエンス)doctoral thesi
CT ガゾウ カラ ノ ソクブ キンコッカク セグメンテーション ニ オケル サツエイ シイ バリエーション ニ タイオウスル タメ ノ スイロンジ シセイ セイキカ
奈良先端科学技術大学院大学修士(工学)master thesi
Acar : SRv 6 オ モチイタ アプリケーション ノ ツウシン トクセイ オ コウリョシタ ツウシン ケイロ セイギョ システム
奈良先端科学技術大学院大学修士(工学)master thesi
Negative Emotion Recognition using Multimodal Physiological Signals for Driving Automation Systems
奈良先端科学技術大学院大学修士(工学)master thesi
Robust Pose-Based Multi-View Gait Recognition Using Recurrent Neural Network
video/mp4期間:2022年10月14日講義場所: 研修ホールvide
ニチジョウ リヨウ ノ カクチョウ ゲンジツカン カンキョウ ニ オケル タッチタイピング カノウナ モジ ニュウリョク システム
奈良先端科学技術大学院大学修士 (工学)master thesi
A Similarity-based Assisted Grading for Introductory Programming Course
In an assignment-based introductory programming course, a teacher is required to grade assignments. However, this is generally a boring, labor-intensive task. Assisted grading is an approach to reduce the effort for a manual grading process by automatically classifying student submissions into groups so that a teacher can manually check only representative submissions. In this study, we try an assisted grading using source code similarity. Given a number of manually graded submissions, our method calculates source code similarity between a new submission with them. If there exists a similar submission, we automatically give the same grade as the submission. Otherwise, we ask the teacher to manually grade the submission and use the grade for future submissions. As a preliminary analysis, we have implemented the idea as a simple algorithm and evaluated the reduction in effort using student submissions in a programming course conducted in the department of the authors.conference pape