Pembelajaran fotosintesis dengan percobaan Ingenhousz sering dilakukan dengan praktikum untuk mengembangkan penguasaan konsep, namun untuk kemampuan literasi kuantitatif jarang dikembangkan sehingga sejauh ini hanya dapat menghasilkan data yang bersifat kualitatif. Tujuan penelitian adalah rekontruksi percobaan Ingenhousz untuk menganalisis pengaruh suhu serta faktor ekternal yang mempengaruhi laju fotosintesis menggunakan kit fotosintesis bermuatan literasi kuantitatif. Jenis penelitian adalah penelitian kuantitatif. Hasil penelitian menunjukkan bahwa suhu merupakan salah satu faktor lingkungan yang dapat mempengaruhi fotosintesis, hal ini disebabkan karena adanya aktivitas fotosintesis sensitif terhadap tekanan yang disebabkan oleh suhu. Suhu 40-50℃ merupakan suhu optimum tanaman atau tumbuhan dapat melakukan fotosintesis ketika cahaya matahari yang diterimanya kurang, sehingga tanaman tetap dapat melakukan proses fotosintesis maksimal. Selain itu, suhu juga sangat berpengaruh terhadap jumlah oksigen terlarut di dalam air. Semakin tinggi suhu, kandungan oksigen dalam air semakin berkurang, sedangkan kebutuhan organisme akan oksigen semakin besar.

Computational Thinking Skills are needed in learning. These skills must be owned by teachers and students with the aim that the demands contained in the curriculum can be achieved. One way that can be done is with a training program. The research objective was to determine the effect of training on the computational thinking skills of teachers and students in learning. The method used in this research is quasi-experimental research. The sampling technique used purposive sampling. The research sample consisted of 6 teachers and 167 students. The instrument used was a questionnaire in the form of a test given to the teacher and a student response questionnaire to learning. The results of data analysis regarding the questionnaire show that the teacher's computational thinking skills based on 4 indicators obtained an average percentage score of 75% (decomposition), 78% (pattern recognition), 83% (abstraction), and 77% (algorithm). To train students' computational skills, teachers usually train the following abilities: problem decomposition, usually teachers get used to giving complex problems, think algorithms, teachers apply problem-based learning, collaborative, cooperative, and project-based, pattern recognition, teachers use innovative learning media and abstract thinking, the teacher gives high-order thinking questions, and literacy and numeracy questions. And for the results of data analysis through questionnaires, students' responses to learning obtained an average value of 79%, with these results the learning process based on computational thinking skills that have been implemented is included in the interesting category