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A comparison of artificial intelligence-based asynchronous Internet instruction and traditional instruction in community college developmental algebra.

机译:社区大学发展代数中基于人工智能的异步互联网教学与传统教学的比较。

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摘要

This quasi-experimental study was an investigation of whether developmental beginning algebra students in a community college show comparable success rates and levels of achievement when taught using computer-based instruction and traditional lecture-based instruction. The computer-based method used a program called ALEKS, which provided artificial intelligence-based asynchronous Internet instruction to this group. Consenting students were randomly assigned to teaching method but were allowed to switch from the method in which they were placed. Of the 57 students placed into each method, 41 remained in computer-based instruction while 52 remained in the group receiving traditional lecture-based instruction. A pretest-posttest design was used to measure achievement on a test instrument developed by members of the Virginia Highlands Community College mathematics department. Results of ANCOVA on the posttest using pretest as the covariate indicated the presence of a treatment effect in favor of traditional instruction (α = .05). However, analysis of the final course grade distributions revealed no significant difference in pass rates between the two teaching methods.
机译:这项准实验研究是对社区大学的发展初代学生在使用基于计算机的教学和基于传统的讲座的教学时是否显示出相当的成功率和成就水平的调查。基于计算机的方法使用了一个名为ALEKS的程序,该程序为该组提供了基于人工智能的异步Internet指令。同意的学生被随机分配给教学方法,但被允许从他们所使用的方法中切换。每种方法的57位学生中,有41位仍在计算机教学中,而52位仍在接受传统基于讲座的教学组中。前测后测设计用于衡量弗吉尼亚高地社区学院数学系成员开发的测试仪器的成绩。使用预测试作为协变量的后测试中ANCOVA的结果表明,存在有利于传统指导的治疗效果(α= .05)。但是,对最终课程成绩分布的分析表明,两种教学方法的及格率没有显着差异。

著录项

  • 作者

    Fleming, Susan Clark.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Education Technology.; Education Mathematics.; Education Community College.; Artificial Intelligence.
  • 学位 Ed.D.
  • 年度 2003
  • 页码 99 p.
  • 总页数 99
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 高等教育;人工智能理论;
  • 关键词

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