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Asia-Pacific Forum on Science Learning and Teaching, Volume 19, Issue 1, Article 8 (Jun., 2018) |
The recent study investigated the effectiveness of neural network artificial intelligence on achievement and retention of learners. However, NNAI belongs to computer science, but it influences science learning. After the misconception test, the percentage of misconception among the students was identified, and NNAI approach used. Students used their previous knowledge in the neuron or inputs that helped to connect the first hidden, second hidden and third hidden layer to get the output or they found the answer, means input and hidden layer only can predict the output because these were related with output. In the recent teaching learning process, NNAI approach was using along with other approaches for science teaching. For preparing the students for different state board examinations, central board of examination and Indian council of secondary education, teachers should try to apply this model in science teaching to get better performance. It is no doubt; this approach has high value to motivate learners to answer the essay type questions as well as the short type items, and teacher should take precaution to train the learners. NNAI should be used in various levels of education because it’s student active process could help to share information to get collectively a product or answer. Particularly, NNAI is useful for science subject but it has high value in other subject. It encourages and motivates learners to think, re-think the neurons or the inputs. Students have the freedom to link; interlink neurons with different hidden layers and put their effort to get the final answer. Here previous knowledge or the related neurons or inputs are primary task than to get the output. Artificial Neural Network is a part of cognitive science and it directly influences learners’ cognitive inputs to process information to represent knowledge. Artificial Intelligence a Neural Network Approach helps the learner to strengthen their knowledge structure. The networks of knowledge in Neural Network could help the learners to remember concept at various stages because neuron is the input to link the hidden layers and to get output. Out of different Artificial Intelligence Approach, the researcher has used Neural Network AI but it needs to apply other approaches of Artificial Intelligence in their research. Recently, five students were included in this study but the researcher recommended to taking more than thirty students in their study to know the effectiveness of Neural Network Artificial Intelligence Approach. In this study, there was no effort to realize the impact of NNAI on gender at different levels and different disciplines and that is why, it is suggested to undertake other variables such as gender, and age variables for further study. Neural Network Artificial Intelligence especially used in computer science, but it could be used in humanities and social studies. That is why the researcher recommended to the world of teacher educators, teachers, research scholars to use this model in their teaching learning process as well as in research.
Neural Network Artificial Intelligence is a branch of computer science is a part of cognitive science; still it is a complex method needs expert to apply in teaching learning process. Normally, children like simple and activity based approach and want to take freedom in every dimension of learning, but this approach has many lacunas in its application, motivation generation, assessment and interpretation of result.
