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KICにおける生成AI活用ガイドラインの紹介 - 新たな知識の可能性への一歩
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ICTイノベータコース研究室紹介

スクート ハミドゥラ 助教 研究室

ICTを使った問題解決力を修得し、ビジネス実践力を高める

研究室概要

This lab is a diversity-based platform designed to illustrate the full potential of your motivation and ideas.
The aim of the lab is to identify the questions to be asked and then assist in determining the answers by providing a setting that supports real experimentation. This lab entails learning by doing!

主な研究分野・テーマ

  • Teaching and Learning Analytics
  • Data Mining
  • Adaptive Learning
  • Integrative Programming
  • Data Management

Ex:

  1. Fostering Mental Wellness: Early detection of depression by using a wearable device: Kwizera Robert, Toshiro Takahara, and Hamidullah Sokout, The 6th International Conference on ICT Integration in Technical Education (ETLTC2024) in collaboration with The 3rd International Conference on Entertainment Technology & Management (ICETM2024), Considered for AIP Scopus-indexed Proceedings (To be published soon)
  2. Reducing Water Consumption and Improving Productivity in Greenhouses through IoT and Machine Learning Analyzing Afghanistan: Insight drawn from data gathered in Japan: Mohammad Naweed Mohammadi, Toshiro Takahara, and Hamidullah Sokout, IEEE- IOTSMS-2024. (Under Review Process, notification July 15)
スクート ハミドゥラ 助教 研究室

研究・指導方法

1. Weekly meeting (Research progress report)
   a. Discussions Sessions (critical thinking, problem solving, presentation through publication)
   b. Experimental Sessions (hand-on experimentation)

2. Practicing skills and procedures (Hypothesis building, Verification, Implementation)

3. Introductory sessions on research approaches, tools, data collection, data analysis

4. collaborative projects

5. one-on0one guidance

6. Celebration

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