Enhancing Middle School Teachers' Competence through Training and Mentoring in Artificial Intelligent Technology

SMP Negeri 3 Selat is located in Duda Utara, Selat District, Karangasem Regency, Bali Province, Indonesia. Situational analysis shows that most teachers have not utilized artificial intelligence (AI) technology optimally in education. In fact, artificial intelligence technology has the potential to help teachers' work in improving the quality of learning. The purpose of this study was to see the effectiveness of training and mentoring activities in improving teacher knowledge about AI technology and its utilization, as well as improving teacher skills in utilizing AI technology for compiling learning administration; designing learning processes and compiling teaching materials. The data used were primary data from training and mentoring participants consisting of 20 teachers of SMP Negeri 3 Selat. The data were in the form of quantitative data, namely pretest and posttest scores. The data analysis stage began with a plot of pretest and posttest scores and a bar chart plot of grouped data, both of which showed a significant increase in scores after being given intervention in the form of training and mentoring. Paired t-test. To see how big the effect of the training and mentoring intervention was, Cohen's effect size was calculated, the percentage change in pretest and posttest scores. The paired t-test results show that there is a significant difference between the pretest and posttest scores. Based on Cohen's size, it was found that the training and mentoring intervention had a very strong effect on changes in pretest and posttest scores. In addition, it was also found that the percentage of changes in pretest and posttest was 106.85% and it can be 95% certain that the average posttest score in the population is estimated to be 32.76 to 45.24 points higher than the average pretest score, due to the intervention in the form of training and mentoring. This is reinforced by the pretest and posttest difference plot showing that there was a significant increase in scores after the intervention.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-17
DOI
https://doi.org/10.5281/zenodo.14504467
Primary Topic
Technology-Enhanced Education Studies
Type
article
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article

Enhancing Middle School Teachers' Competence through Training and Mentoring in Artificial Intelligent Technology

Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

Enhancing Middle School Teachers' Competence through Training and Mentoring in Artificial Intelligent Technology

article en

Abstract

SMP Negeri 3 Selat is located in Duda Utara, Selat District, Karangasem Regency, Bali Province, Indonesia. Situational analysis shows that most teachers have not utilized artificial intelligence (AI) technology optimally in education. In fact, artificial intelligence technology has the potential to help teachers' work in improving the quality of learning. The purpose of this study was to see the effectiveness of training and mentoring activities in improving teacher knowledge about AI technology and its utilization, as well as improving teacher skills in utilizing AI technology for compiling learning administration; designing learning processes and compiling teaching materials. The data used were primary data from training and mentoring participants consisting of 20 teachers of SMP Negeri 3 Selat. The data were in the form of quantitative data, namely pretest and posttest scores. The data analysis stage began with a plot of pretest and posttest scores and a bar chart plot of grouped data, both of which showed a significant increase in scores after being given intervention in the form of training and mentoring. Paired t-test. To see how big the effect of the training and mentoring intervention was, Cohen's effect size was calculated, the percentage change in pretest and posttest scores. The paired t-test results show that there is a significant difference between the pretest and posttest scores. Based on Cohen's size, it was found that the training and mentoring intervention had a very strong effect on changes in pretest and posttest scores. In addition, it was also found that the percentage of changes in pretest and posttest was 106.85% and it can be 95% certain that the average posttest score in the population is estimated to be 32.76 to 45.24 points higher than the average pretest score, due to the intervention in the form of training and mentoring. This is reinforced by the pretest and posttest difference plot showing that there was a significant increase in scores after the intervention.

Zenodo (CERN European Organization for Nuclear Research)
Udayana University (ID)
Quality Education
Openalex Percentile: Top 48%
Technology-Enhanced Education Studies
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Enhancing Middle School Teachers' Competence through Training and Mentoring in Artificial Intelligent Technology · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS