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Assessing Early Grade Mathematics Learner Outcomes Using m-Learning The Case of JumpStart South Africa

机译:使用M-Learning评估早期数学学习者成果的Jumpstart南非的案例

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JumpStart makes use of research-based structured learning material for mathematics together with in-class support by interns, teacher training, realtime formative and summative assessment, through m-learning. To assess its impact on learner outcomes, a cross sectional study design was adopted, whereby performance of a random selection for learners across Grades 1 to 3 in 18 schools was analysed. Grouped learner outcomes (at the level of a grade across groups of schools) prior to the intervention were compared to learner outcomes post the intervention and set alongside a description of the nature of the intervention. Improvements in learning outcomes, as measured by the Early Grade Mathematics Assessment (EGMA) are evident after one year of intervention, and appear to be strengthened after two years of intervention. Overall the JumpStart programme is having a significant impact on all the schools. The use of m-learning by interns for the efficient uptake and appropriate dosage of an early maths intervention; as well as the utility of a tablet interface for the efficient collection of early grade mathematics assessment data should be of interest to the m-learning and broader education community.
机译:JumpStart通过M-Learning使用实习生,教师培训,实时形成和总结评估,利用基于研究的结构化学习材料。为了评估其对学习者成果的影响,采用了横断面研究设计,从而分析了18所学校的1至3年级学习者随机选择的表现。在干预之前分组的学习者结果(在学校跨组的成绩水平)与学习者成果进行比较,并将干预涉及干预的描述以及介入性质的描述。通过早期的数学评估(EGMA)测量的学习结果的改进是明显的,在干预一年后显而易见,并且在干预两年后似乎得到加强。总的来说,JumpStart计划对所有学校产生重大影响。实习生使用M-Leathers进行高效摄取和适当剂量的早期数学干预;除了平板电脑界面的效用,为高效收集早期数学评估数据应该是M-Learning和更广泛的教育界的兴趣。

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