Azzahra Ayu Vahendra, - (2024) DESAIN INTERVENSI PADA EKSPRESI WAJAH AGEN PEDAGOGIS UNTUK MOTIVASI PELAJAR DALAM PEMBELAJARAN SINKRONIS. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Integrasi aspek emosional dalam pembelajaran daring sangat penting karena mempengaruhi hasil pembelajaran, sehingga strategi pengajaran harus memperhatikan motivasi, keyakinan, nilai, empati, dan keterlibatan emosional pelajar. Salah satu cara untuk meningkatkan motivasi dan kualitas pembelajaran adalah penggunaan agen pedagogis sebagai motivator dan rekan belajar. Agen pedagogis dapat membantu pelajar mengelola emosi negatif selama pembelajaran sinkronis melalui ekspresi wajah yang alami dan kontekstual. Penelitian ini mengimplementasikan desain intervensi pada ekspresi wajah agen pedagogis 3D menggunakan strategi Positive Reappraisal Emotion Regulation (PRER) untuk memberikan umpan balik positif terhadap enam emosi dasar pelajar yang terdeteksi, terutama emosi negatif seperti marah, takut, jijik, dan sedih, berdasarkan matriks Valence Arousal Model dan ARCS Model (Attention, Relevance, Confidence, Satisfaction). Pada penelitian sebelumnya ditemukan belum dapat memberikan respons secara personal dari hasil deteksi emosi pelajar melalui browser extensions untuk aplikasi video conference menggunakan Facial Emotion Recognition (FER). Berdasarkan pengujian (N = 57), Instructional Materials Motivation Survey (IMMS) dan Naïve rating in Cognitive Load Measures, seluruh data telah valid dengan distribusi data yang normal (nilai signifikansi p > 0,05) dan reliabel (nilai > 0,8). Hasil IMMS menunjukkan rata-rata 3,72 ("Tinggi"), dan Cognitive Load dengan rata-rata 3,59 ("Cukup"). Implementasi ini memiliki dampak signifikan dalam mengatasi hambatan motivasi pelajar serta memberikan pengalaman belajar sinkronis yang lebih positif, produktif, efektif, dan efisien tanpa terlalu mempengaruhi beban kognitif pelajar dalam penggunaanya. --------- Integration of emotional aspects in online learning is very important because it affects learning outcomes, so teaching strategies should consider students' motivation, beliefs, values, empathy, and emotional involvement. One approach to enhance motivation learning quality is by utilizing pedagogical agents as motivators and learning companions. Pedagogical agents can help students manage negative emotions during synchronous learning through natural and contextual facial expressions. This study implemented an intervention design on the facial expressions of 3D pedagogical agents using the Positive Reappraisal Emotion Regulation (PRER) strategy to provide positive feedback on the six basic emotions of students detected, especially negative emotions such as anger, fear, disgust, and sadness, based on the Valence Arousal Model matrix and ARCS Model (Attention, Relevance, Confidence, Satisfaction). In previous research, it was found that they were not able to provide personal responses from the results of student emotion detection through browser extensions for video conference applications using Facial Emotion Recognition (FER). Based on testing (N = 57), Instructional Materials Motivation Survey (IMMS) and Naïve rating in Cognitive Load Measures, all data have been valid with normal data distribution (significance value p >0.05) and reliable (value >0.8). The IMMS results show an average of 3.72 ("High"), and Cognitive Load with an average of 3.59 ("Sufficient"). This implementation has a significant impact in overcoming barriers to student motivation and providing a more positive, productive, effective, and efficient synchronous learning experience without too much affecting the cognitive load of students in its use.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?hl=id&user=QAmGvtwAAAAJ SINTA ID : 6681802 SINTA ID : 6682222 |
| Uncontrolled Keywords: | Intervensi Positif, Agen Pedagogis, Valence Arousal Model, Rekognisi Emosi, Browser Extensions, Positive Intervention, Pedagogical Agent, Valence Arousal Model, Emotion Recognition |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | UPI Kampus cibiru > S1 Rekayasa Perangkaat Lunak |
| Depositing User: | Azzahra Ayu Vahendra |
| Date Deposited: | 23 Aug 2024 02:55 |
| Last Modified: | 23 Aug 2024 02:55 |
| URI: | http://repository.upi.edu/id/eprint/119662 |
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