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| ID | Type | Description | Link |
|---|---|---|---|
| 1183-YL-25 | Other Identifier | Burdur Mehmet Akif Ersoy University Scientific Research Projects Unit (BAP) | |
| Approval No: E-84459573-605-17 | Other Identifier | Turkish Ministry of Family and Social Services |
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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?
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Technology-Supported Tennis Training | Experimental | 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. |
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| Traditional Tennis Training | Active Comparator | 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Technology-Supported Tennis Training (Real-Time Pose Estimation-Based Instruction) | Behavioral | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Learning Experience During Tennis Instruction | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Perceived Motor Skill Development | 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 |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Burdur Mehmet Akif Ersoy University, School of Sport Sciences | Burdur | Burdur | 15200 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | 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 |
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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.
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The study is designed as a parallel-group intervention in which participants with mild intellectual disabilities are allocated into two independent groups. One group receives tennis instruction supported by real-time pose recognition technology, while the other group receives traditional teacher-led instruction. Both groups undergo the intervention simultaneously over a 14-week period. No crossover between groups occurs during the study, and outcomes are compared between groups at the end of the intervention.
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| Traditional Tennis Training | Behavioral | 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. |
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| ID | Term |
|---|---|
| D008607 | Intellectual Disability |
| ID | Term |
|---|---|
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D065886 | Neurodevelopmental Disorders |
| D001523 | Mental Disorders |
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