4.2.1. Experiment Design
An astronomical instruction experiment was conducted at a secondary school in the Anhui province in China. In order to adapt the learning system for Chinese students, the contents of the universe view and the interface language are changed to Chinese. Two classes with about 25 students, respectively, were randomly selected from the eighth grades. One was assigned as the experimental group and the other as the control group. This study used an experimental design for non-equivalent groups to analyze whether different teaching methods would lead to different learning effectiveness. In this experiment, the independent term was the teaching method; the dependent term was the students’ abilities after learning; the covariant term was the students’ abilities before learning; and the control variants were the teachers, time, and learning materials. The entire test procedure can be seen in
Figure 13. Firstly, two groups were required to complete a pre-test, which evaluated their prior knowledge of the constellation. Subsequently, two groups used different learning materials to observe seasonal constellations. The experiment group used the R-WOSARLS to observe and learn, whereas the control group used the traditional method, with which the teacher shows slides and animations to assist learners in learning about constellations in the classroom. In order to evaluate the learning effect of these systems, both groups of students should perform observation tasks mentioned in the previous experiment.
Following the observation tasks, both groups of students completed a post-test to verify the learning effect of the two different kinds of teaching materials. Moreover, after the post-test, a questionnaire was administered to the experiment group to evaluate the usefulness, usability, and the students’ satisfaction of the system for seasonal constellations. The test consisted of 12 one-answer questions and two no-answer questions, with total scores of 60 and 40, respectively. For the post-test, the number order of questions was changed in order to maintain the test’s standard.
4.2.2. Discussion and Results
This section presents the data collected during the experiment and also the quantitative analysis of this data using Python, which are the student scores on the pre-test, post-test and questionnaire.
(1) Learning Achievement
A pre-test was conducted to ensure that both groups of students had the equivalent basic knowledge required for learning the seasonal constellations. There are about 24 and 16 effective test data of control and experiment group, respectively. A
t-test was carried out to investigate whether the scores of two groups have no significant differences. The significance level is 0.05.
Table 1 presents the
t-test results. The mean and standard deviation (SD) of the pre-test were 25.81 and 11.27 for the control group, respectively, and 24.04 and 10.27, respectively, for the experiment group. The
p-value of the two groups was 0.61 > 0.05, indicating that, in the pre-test stage, these two groups did not differ significantly, and that the two groups of students had a statistically equal level of constellation knowledge before the experiment.
The control group used the traditional method to study seasonal constellations. A
t-test was carried out to analyze the pre-test and post-test scores of the control group, in order to investigate whether the learning achievement of the students had an improvement regarding seasonal constellation learning. The significance level is 0.05. The
t-test statistical result was as shown in
Table 2. The mean and standard deviation of the pre-test were 24.04 and 10.27, respectively, and 30.25 and 14.82 of the post-test, respectively. The difference mean of the pre-test and post-test was 10.21, and the
p-value was 0.0984 > 0.05. Although the score of the post-test is better than the pre-test, these results showed there was no noticeable difference between the pre-test and the post-test for the control group students.
A
t-test was conducted to compare the pre-test and post-test scores for the experimental group to investigate whether the students who used it had superior results regarding seasonal constellation learning compared to the control group students. The significance level is 0.05.
Table 3 presents the
t-test statistical results. The mean and standard deviation of the pre-test were 25.81 and 11.27, respectively, and 59.94 and 13.22, respectively, for the post-test. The difference mean of the pre-test and post-test was 34.13, and the
p-value is 9.09e-09 < 0.05. These results highlight that a substantial difference existed between the pre-test and post-test for students of the experimental group.
A
t-test was conducted to compare the post-test scores of the experimental and control group to investigate whether these two groups have significant difference. The significance level is 0.05. Based on
Table 4, the mean of post-test scores of the experimental and control group are 59.94 and 30.25, and the
p-value is 1.28e-07 < 0.05, which indicated that there are significant differences of post scores between experiment and control group, and demonstrated that the different teaching method could have significantly influenced students’ leaning effects. Moreover,
Figure 14 provides a visual representation of the post-test and pre-test scores of students in the experimental and control groups. This figure shows that the experiment group of students who used the R-WOSARLS to observe and study constellations obtained significant improvement between pre-test and post-test, compared with the control group of students who study the constellation through the traditional method. These results proved that the R-WOSARLS assists students in effectively observing and studying the seasonal constellation in the classroom.
(2) Questionnaire Survey
A questionnaire regarding student attitudes about the R-WOSARLS was conducted in the experiment group, following their use of the system to observe seasonal constellation. We revised the usability and learners’ satisfaction part of the questionnaire in the previous experiment. The new part is listed as below:
- Q6:
The interface of R-WOSARLS is clear and easy for me to understand.
- Q7:
It is easy for me to operate the system to complete constellation tasks.
- Q8:
The Chinese font, size, color, etc. of the interface are suitable.
- Q9:
Using the R-WOSARLS to observe seasonal constellations is interesting.
- Q10:
I’d like the teacher to use the system when teaching about constellations in the classroom.
- Q11:
I’d like to use the system to observe constellations after school.
- Q12:
The R-WOSARLS can help me enhance my motivation for observing seasonal constellations.
- Q13:
I would recommend other people to use the system if they intend to observe seasonal constellations.
- Q14:
I’d like to download and install the system in my smartphone if I have a smartphone.
- Q15:
In the future, I intend to use the same kind of system for studying other astronomical issues.
Twenty-five effective questionnaires were received. The questionnaire included three parts, which were the usefulness (Q1–Q5) and usability (Q6–Q8) of, and the students’ satisfaction (Q9–Q15) with, the system. An analysis of the questionnaires was undertaken to investigate whether the students enjoyed the system.
With regard to the learning effect, in five of the questions about the learning items, almost all of the students had agreed that the functions of the system were very effective, as shown in
Table 5. Moreover, students also agreed that the system could help them improve their knowledge of constellations and erase previous misconceptions they had on the topic. During interviews with them, students confirmed that the AR view was very useful to them in observing the constellations and was able to provide a visual learning experience like the real world, including helping them understand the azimuth and elevation angle in the sky. In addition, science teachers agreed during the interview that the system did help reduce their teaching burden and pressure, since students can observe constellations by themselves on their personal smartphones in school and after it. It can be concluded that the R-WOSARLS was helpful for students to achieve the learning goals of constellation observation in a classroom environment.
Based on
Table 6, in terms of interface design, students agreed that the system was easy to understand, and the functions were simple to use in the system, as the mean of Q6 and Q8 were 4.28 and 4.67. The mean result of Q7 indicated that students were able to operate the system and complete the seasonal constellation observation tasks. Initially, there was a concern that the students would not understand the interface and they would have trouble using the system to observe constellation, as they were only given a brief introduction of the system interface prior to the experiment. The real experimental scene was different from my initial speculation. The junior high school students operated the system easily, and most of them could complete the observation task. When one student had difficulties in operating the system, the other students would help them. It was found that most students were experienced in operating smartphone applications, as many Chinese students of the same age had their own smartphone provided by their parents, and they had experience in playing games on their smartphones. Due to the popularity of smartphones among students, therefore, the smartphone device is a very appropriate learning tool in astronomy education.
The students appeared to be highly interested in using the system to observe the constellations, with the mean of Q9 and Q10 being 4.61 and 4.72 (see
Table 7). Since students agreed that the system was helpful to them in enhancing their interest in constellation observations, as the mean of Q12 was 4.23, they would prefer to use the system to observe constellations after school (Q11 shows a mean of 4.44). Students can personally use the system to observe the constellations in the sky, helping them develop an awareness of an active learning sense in astronomy. They were interviewed and asked whether they preferred AR teaching materials compared to the traditional methods. All of them said that they preferred the AR system since it provided a realistic and intuitive learning environment for them to be involved with. Furthermore, students had a strong intention to recommend the software to their friends for observing constellations, as the mean of Q13 was 5.0. During the interview, a number of students asked where they could download the software as they wanted to install it on their smartphones; the mean of Q14 at 4.83 proved this. In addition, the mean of Q15 is 4.89, which revealed that they wanted to use the same kind of AR system for other astronomical concept observations.
From the above analysis of the questionnaire and interview observation, the conclusion is that students have highly accepted the new constellation observation method since the system helped them study seasonal constellations in a real-world immersive learning environment. Moreover, the AR learning system promoted student interest in astronomy and gave them incentives to take astronomy science courses.