A Proposed Program in Climate Change based on the Active Deep Learning (ADL) Approach to Correct Some Misconceptions and Develop the Learning Enjoyment among First Year STEM Students in the College of Education

The current research aimed to correct some of the misconceptions related to climate change and to develop the Learning Enjoyment among students of the first year STEM at the College of Education, and in order to achieve this, a program in climate change was proposed based on Active Deep Learning Approach, and in light of that a research group was selected consisting of (31 ) male and female students from the two divisions (Biology - Chemistry) of the first year STEM at the Faculty of Education - Zagazig University, the second semester of the academic year 2021-2022. The two research tools were (Misconceptions related to climate change test, and the Learning Enjoyment scale). The research relied on the quasi-experimental design with a single group, where the two research tools were applied to the research group first, then the proposed program was presented to the group, and after completion, the two research tools were applied afterwards. The results indicated that the students of the research group excelled in the post application over the tribal application with a statistically significant difference at the level (0.01) in terms of correcting Misconceptions related to climate change and developing their learning Enjoyment. The results also showed the effectiveness of the proposed program in correcting Misconceptions related to climate change and developing the learning Enjoyment. The research presented its recommendations and suggestions in the light of the results that have been reached, including the interest in training teachers before and during service to use the active deep learning approach to help them correct their wrong perceptions, and interest in creating happiness and pleasure for learners while learning science.