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Exploring digital nativeness as a predictor of digital game-based L2 vocabulary acquisition

机译:作为基于数字游戏的L2词汇采集的预测因素

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Although the "digital natives" theory is still used to justify the implementation of technologies such as video games in the language classroom, whether digital nativeness (i.e. the extent to which an individual embodies the characteristics attributed to digital natives) may be used as a predictor of digital game-based learning outcomes is to be analysed. An empirical study was conducted to test the predictive strength of some attributes of digital nativeness, as determined by Teo's (2013)Digital Native Assessment Scale, on L2 vocabulary acquisition and on educational engagement. A vocabulary learning game was played by 86 university EFL students, who additionally completed post- and delayed knowledge tests on the vocabulary contained in the game, the DNAS questionnaire, and questions on educational disengagement and perceived need for technology-related changes. The regression analysis revealed that the factor "able to multitask" was a predictor of poorer L2 vocabulary acquisition, whereas the factors "comfortable with technology" and "thrive on instant gratifications and rewards" had a positive impact on learning outcomes. Additionally, the analysis showed that none of the attributes of digital natives that make up the DNAS could predict either students' disengagement with the educational system or their perceived need for technology-based changes in education.
机译:虽然“数字本地人”理论仍然用于证明语言教室中的视频游戏等技术的实现,但数字本质是否(即,个人体现给归因于数字本地物质的特征)可以用作预测器基于数字游戏的学习结果将被分析。进行了实证研究,以测试数字本土的一些属性的预测强度,如TEO(2013)数字本机评估规模,L2词汇收购和教育参与。 86所大学学生播放了一个词汇学习游戏,他还完成了在游戏中包含的词汇,DNA问卷的词汇和关于教育脱离的问题和有关与技术有关的变化的问题的延迟知识测试。回归分析表明,“能够对多任务”的因子是较差的L2词汇采集的预测因子,而“舒适的技术”和“瞬间满足和奖励”的因素对学习结果产生了积极影响。此外,分析表明,构成DNA的数字本地人的属性都无法预测学生与教育系统的脱离,或者他们对教育技术的改变的感知需求。

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