@techreport{oai:ipsj.ixsq.nii.ac.jp:00233567,
 author = {可部, 繁三郎 and 田中, 洋一 and 山田, 政寛 and 石毛, 弓 and 山本, 佐江 and 合田, 美子 and Shigesaburo, Kabe and Yoichi, Tanaka and Masanori, Yamada and Yumi, Ishige and Sae, Yamamoto and Yoshiko, Goda},
 issue = {20},
 month = {Mar},
 note = {自己成長を促すうえで必要な良質なフィードバック（FB）をいかに引き出すことができるかに着目し，学習者がどのような準備をして FB を誘起するかについてモデル化を試みる．学習者と複数の FB 提供者がいる 1 対多の場面を想定し，並行して進める質的アプローチを参考にしながら FB 誘起要因を探り，FB 誘起に関わる推計式を試作する．FB 授受に関わる場面の録画を文字化するシステムを開発中で，利用可能になった段階で，FB に関わる場面の画像・文章データを蓄積して変数として推計式に投入，モデルとしての妥当性を検証する．, Focusing on how to elicit the high-quality feedback (FB) necessary to promote self-development, we attempt to model how learners prepare to induce FB. Assuming a one-to-many situation with a learner and multiple FB providers, we explore the FB-inducement factors and build a prototype of estimation equation for FB inducement by using a quantitative approach and referring to a qualitative approach that proceeds in parallel. The research subjects comprise a study group in the field of educational technology where research presentations are made by the study group participants who want to attract better-quality FB from their peers. We are developing a system to convert recordings of scenes related to FB giving and receiving into text. When this system for transcribing is put into practical use, we will start converting the recorded audio data into written information, which is finally converted to numerical data, and input such data into the estimation equation as variables to verify the validity as a model.},
 title = {フィードバック誘起モデルの開発：量的アプローチによる推計式の試作},
 year = {2024}
}