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Supporting Student Learning in Computer Science Education via the Adaptive Learning Environment ALMA

机译:通过自适应学习环境ALMA支持计算机科学教育中的学生学习

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This study presents the ALMA environment (Adaptive Learning Models from texts and Activities). ALMA supports the processes of learning and assessment via: (1) texts differing in local and global cohesion for students with low, medium, and high background knowledge; (2) activities corresponding to different levels of comprehension which prompt the student to practically implement different text-reading strategies, with the recommended activity sequence adapted to the student’s learning style; (3) an overall framework for informing, guiding, and supporting students in performing the activities; and; (4) individualized support and guidance according to student specific characteristics. ALMA also, supports students in distance learning or in blended learning in which students are submitted to face-to-face learning supported by computer technology. The adaptive techniques provided via ALMA are: (a) adaptive presentation and (b) adaptive navigation. Digital learning material, in accordance with the text comprehension model described by Kintsch, was introduced into the ALMA environment. This material can be exploited in either distance or blended learning.
机译:这项研究提出了ALMA环境(来自文本和活动的自适应学习模型)。 ALMA通过以下方式支持学习和评估过程:(1)针对具有低,中,高背景知识的学生,本地和全球衔接的文字有所不同; (2)对应于不同理解水平的活动,促使学生实际实施不同的文本阅读策略,并根据学生的学习风格推荐活动顺序; (3)告知,指导和支持学生进行活动的总体框架;和; (4)根据学生的具体特点进行个性化的支持和指导。 ALMA还为学生提供远程学习或混合学习的支持,在这些学习中,学生将接受计算机技术支持的面对面学习。通过ALMA提供的自适应技术是:(a)自适应表示和(b)自适应导航。根据Kintsch描述的文本理解模型的数字学习材料被引入ALMA环境。可以在远程或混合学习中使用该材料。

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