Jean Paul Munyakazi, Josiane Mukagihana, Théophile Nsengimana, Concilie Mukamwambali, O. Habimana
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Thus, we got a total of ninety (90) senior five learners. The researchers split these learners into two groups composed of 45 learners in the experimental group, and 45 students in the control group. Learners in the experimental group were subjected to computer-assisted instructions while learners in the control group went through the traditional lecturing instructions. To collect data, a biology performance test (BPT) was used. The reliability coefficient (Cronbach’s coefficient Alpha) calculated for the instrument was 0.704. Pre and post-tests were given to all students in both groups. We used the inferential statistics t-test to analyze the data. The results showed [t (88) = -6.640, p = .000; p<.05] indicating that there is a statistically significant difference in mean scores between groups. The findings from the study allowed us to conclude that computer-assisted instruction enhances students' performance in biology, especially in cell division. 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引用次数: 0
摘要
计算机辅助教学(CAI)不仅激励学生学习,而且使学习者能够通过与教学工具的互动来学习,使学习者能够以他们在真实情况下的反应方式做出反应。本研究以细胞分裂为主题,探讨电脑辅助教学对学生生物学成绩的影响。本研究采用准实验设计。本研究的研究对象为尼亚加塔雷地区所有学习科目中有生物学的高中学生。为了获得样本,研究人员有目的地选择了三所学校,条件是它们配备了连接计算机的智能教室。研究人员在每所学校上了一节课。因此,我们总共有九十(90)高五学习者。研究人员将这些学习者分成两组,实验组45名学习者,对照组45名学生。实验组采用计算机辅助教学,对照组采用传统的授课教学。为了收集数据,采用生物性能试验(BPT)。计算出仪器的信度系数(Cronbach’s系数Alpha)为0.704。两组学生均进行了前后测试。我们采用推理统计t检验对数据进行分析。结果显示[t (88) = -6.640, p = .000;p <。05]组间均分差异有统计学意义。这项研究的结果使我们得出结论,计算机辅助教学提高了学生在生物学方面的表现,尤其是在细胞分裂方面。因此,我们建议将计算机辅助教学整合到教学和学习中,以提高学习者在生物学方面的表现。
Impacts of Computer-Assisted Instructions on Students' Academic Performance of Biology within Secondary Schools
Computer-assisted instructions (CAI) not only motivate students to learn but also enable learners to learn by interacting with instructional tools that allow learners to react the way they would react in real situations. This study sought to investigate the impact of computer-assisted instruction on learners' achievement of biology with a focus on cell division topics. The study adopted a quasi-experimental design. The population of this study was all upper secondary students that have Biology in their learning subjects within the Nyagatare district. To get a sample, researchers purposively selected three schools on the condition that they are equipped with smart classrooms having connected computers. The researchers took one class at each school. Thus, we got a total of ninety (90) senior five learners. The researchers split these learners into two groups composed of 45 learners in the experimental group, and 45 students in the control group. Learners in the experimental group were subjected to computer-assisted instructions while learners in the control group went through the traditional lecturing instructions. To collect data, a biology performance test (BPT) was used. The reliability coefficient (Cronbach’s coefficient Alpha) calculated for the instrument was 0.704. Pre and post-tests were given to all students in both groups. We used the inferential statistics t-test to analyze the data. The results showed [t (88) = -6.640, p = .000; p<.05] indicating that there is a statistically significant difference in mean scores between groups. The findings from the study allowed us to conclude that computer-assisted instruction enhances students' performance in biology, especially in cell division. Therefore, we recommend the integration of computer-assisted instructions into teaching and learning to enhance learners’ performance in biology.