编程学习与游戏玩家行为分析的研究洞察
1. 编程学习中AI2的学习感知
在编程学习领域,研究人员针对学习者对AI2的学习感知展开了深入研究。通过描述性统计方法和单样本t检验(检验值为3)对相关数据进行分析,得出了一系列有价值的结果。
学习者对学习基本编程概念有用性的感知统计结果如下表所示:
| Items | M | SD | t | Sig |
| — | — | — | — | — |
| 11. I became more familiar with event driven concepts after learning AI2 | 3.81 | 0.816 | 6.897 | 0.000 |
| 12. I became more familiar with selection structure concepts after learning AI2 | 3.94 | 0.783 | 8.296 | 0.000 |
| 13. I became more familiar with loop concepts after learning AI2 | 3.83 | 0.724 | 7.970 | 0.000 |
| 14. I became more familiar with modular concepts after learning AI2 | 3.79 | 0.824 | 6.656 | 0.000 |
| 15. I became more familiar with array/list
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