CodePractice: Developing Coding Skills Using Social and Adaptive Drill-and-Practice Exercises

基本的编程技能对于发展计算机科学的基本能力是必不可少的。然而，对于许多学生来说，学习编程技术可能是具有挑战性和令人沮丧的。如果不采取干预措施来遏制这些挫折，计算机科学入门课程就会出现人员流失，保留率也会随之下降。训练和练习工具正在出现，以帮助学生发展基本的编程技术并提高他们的信心。然而，当学生在练习中需要帮助时，目前还没有一种编程练习系统能够主动地、自适应地帮助他们。同样，如果没有有效地利用在线、社会协作的实践工具，同伴学习的潜力目前也未得到开发。这种有机地改进学习材料的新方法也为在社交电子学习环境中使用自动评估提供了更广泛的影响。我们会研究学生吗？有系统的行为，并客观地衡量其结果。因此，我们的研究将提供与支持社会和适应性训练和实践的框架相关的结果。总的来说，我们希望提高学生在计算机科学方面的表现和保留率，同时为教学技术的发展做出贡献。

Rudimentary programming skills are essential to developing fundamental proficiency in computerscience. However, learning programming techniques can be challenging and frustrating for manystudents. Without interventions to curb these frustrations, introductory computer science courses willsuffer from attrition and poor retention rates will follow. Drill-and-practice tools are emerging to helpstudents develop basic programming techniques and improve their confidence. However, there arecurrently no programming practice systems that actively and adaptively assist students when theyrequire help on exercises. Likewise, the potential for peer learning is currently untapped withouteffectively leveraging online, social collaboration in practice tools.The novel approach to organically refine learning materials also offers broader implications for usingautomatic assessment in social eLearning environments. We will study students? behaviors with thesystem and objectively measure their outcomes. Consequently, our research will offer results associatedwith a framework for supporting social and adaptive drill-and-practice. Overall, we expect to improvestudent performance and retention in computer science while contributing to the evolution of instructionaltechnology.