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AI-Supported and Traditional Tennis Training in Individuals With Intellectual Disabilities (TENN-ID)

2026年5月4日 更新者：Burdur Mehmet Akif Ersoy University

Tennis Learning Experiences of Individuals With Intellectual Disabilities: A Comparative Analysis of Technology-Supported and Traditional Approaches

This study aims to examine the tennis learning experiences of children with mild intellectual disabilities aged 12-18 years by comparing a real-time pose recognition technology-supported teaching approach with a traditional face-to-face instructional method. The research focuses on how participants experience these two different teaching approaches and how these approaches influence their learning process in basic tennis skills.

A total of 30 participants will be included and divided into two groups: one group will receive tennis instruction supported by real-time pose recognition technology, and the other group will receive traditional instructor-led training. The intervention will last for 14 weeks and will focus on teaching basic tennis skills such as forehand and backhand strokes.

The study seeks to answer the following questions: How do children with mild intellectual disabilities experience technology-supported versus traditional tennis instruction? What differences exist between the two approaches in terms of learning experience, engagement, and motor skill development?

調査の概要

状態

完了

条件

介入・治療

詳細な説明

This study is designed as a qualitative and comparative investigation examining the learning experiences of children with mild intellectual disabilities aged 12-18 in acquiring basic tennis skills through two different instructional approaches: a real-time pose recognition technology-supported method and a traditional face-to-face teaching method.

The technology-supported intervention will be implemented using a real-time pose estimation system based on the MediaPipe framework. This system provides immediate visual feedback by analyzing participants' body movements and identifying deviations from correct movement patterns. In the traditional instruction group, teacher-centered methods such as demonstration, verbal explanation, and corrective feedback will be used.

The intervention will last for 14 weeks, with training sessions conducted three days per week for 45 minutes each. The instructional content is structured into two phases: the first seven weeks will focus on forehand stroke development, while the remaining seven weeks will focus on backhand stroke acquisition. Both groups will aim to develop fundamental tennis motor skills appropriate for beginners with intellectual disabilities.

Data will be collected through a socio-demographic information form, semi-structured interviews, and field notes. Interviews will be conducted at multiple stages of the intervention (week 7, week 14, and post-intervention) to explore participants' learning experiences, perceptions of the instructional methods, motivation levels, and challenges encountered during the learning process.

Qualitative data will be analyzed using content analysis. Codes and themes will be generated to compare learning experiences across the two instructional approaches. The study aims to provide an in-depth understanding of how technology-supported instruction influences motor skill acquisition and engagement in physical education settings for individuals with mild intellectual disabilities.

研究の種類

介入

入学 (実際)

30

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

  • トルコ（Türkiye）
    • Burdur
      • Burdur、Burdur、トルコ（Türkiye）、15200
        • Burdur Mehmet Akif Ersoy University, School of Sport Sciences

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 子
  • 大人

健康ボランティアの受け入れ

いいえ

説明

Inclusion Criteria:

  • Aged 12-18 years
  • Diagnosed with mild intellectual disability
  • Willing to participate voluntarily in the study
  • Able to attend regular training sessions (3 days per week for 14 weeks)
  • No severe physical condition preventing participation in physical activity
  • Right-hand dominant

Exclusion Criteria:

  • Withdrawal of consent by participant or legal guardian
  • Irregular attendance in training sessions or inability to complete the intervention program
  • Missing at least one of the scheduled interview sessions
  • Presence of severe physical or medical conditions that may limit participation in tennis activities
  • Inability to follow basic instructions during training sessions

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか？

デザインの詳細

  • 主な目的：他の
  • 割り当て：非ランダム化
  • 介入モデル：並列代入
  • マスキング：なし（オープンラベル）

武器と介入

参加者グループ / アーム
介入・治療
実験的：Technology-Supported Tennis Training
Participants receive tennis instruction supported by real-time pose recognition technology. The system provides immediate visual feedback on body positioning and movement accuracy during forehand and backhand skill acquisition. Instruction focuses on correcting movement patterns and enhancing motor learning through augmented feedback.
行動：Technology-Supported Tennis Training (Real-Time Pose Estimation-Based Instruction)
Participants receive tennis instruction supported by a real-time pose recognition system (MediaPipe-based). The system provides immediate visual feedback on body posture and movement accuracy during forehand and backhand skill acquisition. Instruction aims to enhance motor learning through augmented feedback and movement correction.
アクティブコンパレータ：Traditional Tennis Training
Participants receive standard teacher-led tennis instruction without technological assistance. Training includes demonstration, verbal explanation, repetition, and corrective feedback provided directly by the instructor during forehand and backhand skill practice.
行動：Traditional Tennis Training
Participants receive standard face-to-face tennis instruction without technological support. Teaching includes instructor demonstration, verbal explanation, repetition, and corrective feedback during forehand and backhand skill practice.

この研究は何を測定していますか？

主要な結果の測定

結果測定
メジャーの説明
時間枠
Learning Experience During Tennis Instruction
時間枠：Week 7, Week 14, and Week 15
Participants' learning experiences during tennis skill acquisition (forehand and backhand) will be assessed through semi-structured interviews. The primary outcome is the qualitative description of how participants with mild intellectual disabilities perceive technology-supported and traditional tennis instruction in terms of ease of learning, understanding of movements, and perceived improvement.
Week 7, Week 14, and Week 15

二次結果の測定

結果測定
メジャーの説明
時間枠
Perceived Motor Skill Development
時間枠：Week 7, Week 14, and Week 15
Participants' perceived improvement in basic tennis motor skills (forehand and backhand) will be assessed through semi-structured interviews and field observations. Changes in perceived ability and confidence in performing movements will be analyzed qualitatively.
Week 7, Week 14, and Week 15

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

Burdur Mehmet Akif Ersoy University

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

一般刊行物

  • Ahuja, N. J., Dutt, S., Choudhary, S. L., & Kumar, M. (2025). Intelligent tutoring system in education for disabled learners using human-computer interaction and augmented reality. International Journal of Human-Computer Interaction, 41(3), 1804-1816. https://doi.org/10.1080/10447318.2022.2124359. Alsolami, A. S. (2025). The effectiveness of using artificial intelligence in improving academic skills of school-aged students with mild intellectual disabilities in Saudi Arabia. Research in Developmental Disabilities, 156, 104884. https://doi.org/10.1016/j.ridd.2024.104884 Chiu, T. K. (2024). The impact of Generative AI (GenAI) on practices, policies and research direction in education: A case of ChatGPT and Midjourney. Interactive Learning Environments, 32(10), 6187-6203. https://doi.org/10.1080/10494820.2023.2253861 Creswell, J. W. (2016). Nitel araştırma yöntemleri: Beş yaklaşıma göre nitel araştırma ve araştırma deseni. Siyasal kitabevi. Google AI. (2020). MediaPipe Iris: Real-time Iris Tracking & Depth Estimation https://ai.googleblog.com/2020/08/mediapipe-iris-real-time-iris-tracking.html sayfasından erişilmiştir. He, Q., Chen, H., & Mo, X. (2024). Practical application of interactive AI technology based on visual analysis in professional system of physical education in universities. Heliyon, 10(3). https://doi.org/10.1016/j.heliyon.2024.e24627 Johnson, D. (2019). Adaptive Learning Systems and Personalized Education. Perspectives in Innovative Education, 1(1), 1-10. Klavina, A., Pérez-Fuster, P., Daems, J., Lyhne, C. N., Dervishi, E., Pajalic, Z., ... & Sousa, C. (2024). The use of assistive technology to promote practical skills in persons with autism spectrum disorder and intellectual disabilities: A systematic review. Digital Health, 10, 20552076241281260. https://doi.org/10.1177/2055207624128126 Kulkarni, K. M., & Shenoy, S. (2021). Table tennis stroke recognition using two-dimensional human pose estimation. In Proceedings of the IEEE/CVF conference on com

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2025年10月13日

一次修了 (実際)

2026年1月15日

研究の完了 (実際)

2026年1月20日

試験登録日

最初に提出

2026年4月29日

QC基準を満たした最初の提出物

2026年5月4日

最初の投稿 (実際)

2026年5月11日

学習記録の更新

投稿された最後の更新 (実際)

2026年5月11日

QC基準を満たした最後の更新が送信されました

2026年5月4日

最終確認日

2026年5月1日

詳しくは

本研究に関する用語

キーワード

追加の関連 MeSH 用語

その他の研究ID番号

  • 2026/2944
  • 1183-YL-25 (その他の識別子：Burdur Mehmet Akif Ersoy University Scientific Research Projects Unit (BAP))
  • Approval No: E-84459573-605-17 (その他の識別子：Turkish Ministry of Family and Social Services)

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

IPD プランの説明

Individual participant data (IPD) will not be shared because this study involves minors and individuals with intellectual disabilities, representing a vulnerable population that requires enhanced confidentiality protections. The dataset includes qualitative materials such as audio-recorded interviews, verbatim transcripts, observational field notes, and contextual narratives that may contain indirect identifiers. Given the small sample size and the rich descriptive nature of qualitative data, the risk of participant re-identification may remain even after de-identification procedures. Therefore, to ensure compliance with ethical approval requirements, informed consent commitments, and data protection principles, IPD will not be made publicly available.

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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