Abstract:
The purposes of the research study were: (1 ) to synthesize a Hyflex learning process with Snoopathon using metaverse learning ecosystem, (2) to develop a Hyflex learning process with Snoopathon using metaverse learning ecosystem, (3) to develop a metaverse learning ecosystem with Snoopathon for system thinking and innovation, (4) to compare the systematic thinking of students learning with Hyflex learning model with Snoopathon using metaverse learning ecosystem, (5) to compare innovation of students learning with Snoopathon using metaverse learning ecosystem, and (6) to study the relationship between systematic thinking and innovation of students learning with the Hyflex learning model with Snoopathon using metaverse learning ecosystem. The samples of the research were 25 students who study at Ongkharak Demonstration School, Srinakharinwirot University during academic year 2023. The course content used in this research is computing science.
The result of the research found that:
1. Synthesize a Hyflex learning process with Snoopathon using metaverse learning ecosystem consists of 7 elements: (1) Hybrid learning process consists of 2 components as follows Learning that occurs at the same time and, 1.2) Learning that occurs at different times, (2) Hyflex learning process consists of 3 components as follows: 2.1) Synchronously in-person, 2.2) Synchronously online, and 2.3) Asynchronously online, (3) Snoopathon process consists of 5 steps: 3.1) Seeking knowledge, 3.2) Searching for information, 3.3) Analysis data, 3.4) Summarizing results, and 3.5) Presentation and discussion, (4) the elements the learning ecosystem consist of 5 elements: 4.1) People, 4.2) Content, 4.3) Technology, 4.4) Data, and 4.5) Admin (5) the elements of the metaverse consist of 3 elements: 5.1) Hardware, 5.2) Software, and 5.3) Content (6) System thinking components consist of 6 elements: 6.1) Thinking with principles, 6.2) Thinking with reason, 6.3) Thinking with patterns, 6.4) Thinking with a framework, and 6.5) Thinking with objectives. (7) Components of innovation creation, consisting of 3 parts: 7.1) Creating innovation to achieve success, 7.2) Working creatively with others, and 7.3) Thinking creatively. Results of evaluating the appropriateness of the components of the Hyflex learning process with Snoopathon using metaverse learning ecosystem. It is appropriate at a very high level.
2.Hyflex learning model with Snoopathon using metaverse learning ecosystem consists of 4 main components: (1) Hyflex learning, (2) Snoopathon, (3) Metaverse learning ecosystem, and (4) System Thinking and Innovation. Results of evaluating the appropriateness of the Hyflex learning model with Snoopathon using metaverse learning ecosystem for system thinking and innovation. It is appropriate at a very high level.
3. The metaverse learning ecosystem with Snoopathon for system thinking and innovation consists of 5 steps: (1) Seeking knowledge, 1.1) Quick quest for knowledge, and 1.2) Finding information quickly, (2) Searching for information, 2.1) Finding information quickly, and 2.2) Practicing rapid creativity, (3) Analysis data, 3.1) Quick brainstorming, and 3.2) Quick Data Analysis Thinking, (4) Summary of data, 4.1) Rapid Innovation, and 4.2) Quick summary of data, (5) Presentation and Discussion, 5.1) Presentation of innovation results, and 5.2) Discussion. The results of the overall evaluation of the metaverse learning ecosystem with Snoopathon (MLES) were appropriate at a very high level.
4. Results of measuring of system thinking of students learning with the Hyflex learning model with Snoopathon using metaverse learning ecosystem.
The results of the evaluation of the mean measurement of systematic thinking
of students who learn normally without using the Hyflex learning model with Snoopathon using metaverse learning ecosystem. It was found that the average systematic thinking assessment results of students before and after studying in the control group. Overall, it was found that the systematic thinking measures of students in the control group were higher.
The results of measuring students' system thinking before and after studying. The control group studied using the normal learning method. They were significantly different at the .0 1 level by the results of the post-test results. It is at a good level. When compared to the results of system thinking before studying. Which is in accordance with the research hypothesis.
The results of evaluating the system thinking average of students before and after studying in the experimental group. Overall, the system thinking of students in the experimental group was higher.
The results of comparing the system thinking of students before and after studying in the experimental group who learned with the Hyflex learning model with Snoopathon using metaverse learning ecosystem. They were significantly different at the .05 level by the results of the post-test results. It is at a very good level. When compared to the system thinking results before studying. Which is in line with the research hypothesis.
5. Results of measuring of innovation thinking of students learning with the Hyflex learning model with Snoopathon using metaverse learning ecosystem. By the results of measuring innovation thinking in the control and experimental groups. It was found that the results of the evaluation of the mean measurement of innovation thinking of students who learned with the Hyflex learning model with Snoopathon using metaverse learning ecosystem with students who study normally and overall, the measurement of innovation thinking of students in the experimental group was at the highest level. When compared to the control group's innovation thinking measure. 6. the relationship result between systematic thinking and innovation of the Hyflex learning model with Snoopathon using metaverse learning ecosystem. It was found that system thinking, and innovation thinking are related. From the 2-tailed hypothesis test, Sig (2 - tailed). The value is <.001, showing that system thinking and innovation thinking of students learning with the Hyflex learning model with Snoopathon using metaverse learning ecosystem. Statistically significant at the .01 level.