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All Journal DEIKTIS: Jurnal Pendidikan Bahasa dan Sastra Al-Irsyad: Journal of Education Science
Ambo Dalle
Institut Agama Islam Negeri Parepare
Humanities Education Languange, Linguistic, Communication & Media Other

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SEMANTRIS GOOGLE AI-BASED LEARNING TO ENHANCE STUDENTS’ VOCABULARY MASTERY Fathur Rahman Arif Hasan; Adi Isma; Ambo Dalle; Yulie Asni
Al-Irsyad: Journal of Education Science Vol 3 No 1 (2024): Januari 2024
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan Darud Da'wah Wal Irsyad Pinrang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58917/aijes.v3i1.94

Abstract

Semantris Google AI-Based Learning research has examined the students' disinterest and low level of vocabulary acquisition in English subject at MTs DDI Takkalasi. The students cited difficulty in pronunciation and other reasons for their lack of enthusiasm towards English as a difficult subject. This lack of interest and motivation is due to the absence of an interesting and enjoyable learning environment, which hinders students' ability to concentrate on their studies. In addition, the limited application of modern technology in the learning process makes this a problem that must be addressed given the increasingly advanced era. The research employed a quasi-experimental design to investigate the effectiveness of an intervention in improving students' English language proficiency. The study utilized a quantitative approach, conducting pre-test and post-test analyses to measure the impact of the intervention. The pre-test served as a baseline measurement, while the post-test assessed the outcomes after implementing the intervention. The researcher employed a quota sampling technique to select participants. The results of the Semantris Google AI-Based Learning study showed a significant difference in vocabulary improvement between the two groups, as evidenced by the T-count value of 6.858, exceeding the critical T-table value of 2.060. The rejection of the null hypothesis (H0) is supported by the mean N gain value of 0.4249 obtained from the experimental class, which falls within the moderate range according to the N gain table. This finding confirms that the use of Semantris Google AI-Based Learning is very effective in improving the vocabulary mastery of MTs DDI Takkalasi students.
The Use of VideoScribe Training to Improve Professional Competence of MTs EFL teachers in Pinrang Dwi Wulandari Ramadhanianti; Zulfah Fakhruddin; Ambo Dalle; Abdul Haris Sunubi; Magdahalena Tjalla
DEIKTIS: Jurnal Pendidikan Bahasa dan Sastra Vol. 4 No. 2 (2024)
Publisher : Perkumpulan Dosen Muslim Indonesia - Sulawesi Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/deiktis.v4i2.742

Abstract

This study aims to improve the professional competence of teachers in designing English learning materials through VideoScribe training. This study was action research. The training was given to 5 English teachers at the Madrasah Tsanawiyah level (Islamic junior high school). Data were collected by using rubric, observation, and interviews. The results show that teachers can operate VideoScribe application after receiving learning technology training with training materials including: (1) creating teachers’ account, (2) designing background, (3) adding pictures and setting the time duration, (4) adding text and setting the time duration, (5) operating, copy, cut, paste, (6) adding scribe hands, (7) setting camera and clear element’s camera, (8) adding music or voiceover, and (9) downloading the scribe video. Indicators of the teacher’s professional competence in operating VideoScribe: (1) being able to understand all the features of VideoScribe, and (2) being able to independently, accurately, and speedily operate all the features in VideoScribe application.
Co-Authors Abdul Haris Sunubi Adi Isma Dwi Wulandari Ramadhanianti Fathur Rahman Arif Hasan Magdahalena Tjalla Yulie Asni Zulfah Fakhruddin