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首页> 外文会议>IEEE Global Engineering Education Conference >Teamwork with an Automatic Tutoring Environment as Learning Strategy in Programming courses.
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Teamwork with an Automatic Tutoring Environment as Learning Strategy in Programming courses.

机译：具有自动辅导环境的团队合作作为编程课程中的学习策略。

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Students' current learning styles require consideration in the models that support and promote students' motivation for learning and develop their creative thinking skills. Programming teachers use several strategies to achieve student learning. One of the most promising is teamwork, as it encourages learning about code development and increasing student motivation and confidence.In addition, it is important to support students with adequate tutoring that allows them to find solutions to the problems they face.Research suggests that teamwork for programming courses is an excellent strategy to acquire programming skills since it facilitates knowledge sharing in an effective way among students; nevertheless, teamwork does not guarantee individual learning, so professors must verify individual learning abilities as well.During this study, we exposed the students to solved problems with programming in collaborative exercises. These kinds of activities had the possibility of being divided into small subproblems. Each of these subproblems was solved individually by the team members. After all the parts are correctly solved, they are putting together to solve the global problem, this methodology confirming individual learning in all the collaborative activities in programming courses.
机译：学生目前的学习方式需要考虑支持和促进学生的学习动机和发展创造性思维技能的模型。编程教师使用几种策略来实现学生学习。最有前途的是团队合作之一，因为它鼓励学习代码开发和提高学生的动机和信心。此外，为学生提供足够的辅导，允许他们找到他们面临的问题的解决方案。研究表明，研究表明是团队合作对于编程课程，是获得编程技能的优秀战略，因为它促进了学生之间有效的知识共享;尽管如此，团队合作不保证个人学习，所以教授必须核实个别学习能力。我们将学生们暴露在合作练习中的编程解决问题。这些活动有可能分为小型子标数。这些子问题由团队成员单独解决。在所有部分都是正确的解决之后，他们正在共同解决全球问题，这种方法确认个人学习在编程课程中的所有协同活动中。

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