SmartTutor: Creating IDE-based interactive tutorials via editable replay

Zhang, Ying; Huang, Gang; Zhang, Nuyun; Mei, Hong

doi:10.1109/icse.2009.5070555

Cited by 11 publications

(1 citation statement)

References 4 publications

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“…Another example is a plug-in to assess students' code, evaluating whether it is suitable for submission (Silva, Leal, et al, 2018). An interactive tutorial that records students' actions in the IDE to be preserved as a tutorial for future students also exists, but this differs significantly from an ITS programming tutor that provides feedback (Zhang, Huang, et al, 2009). Another tutor, Coala, assists students and teachers with assessing a programming algorithm by collecting data from students' code through an Eclipse plug-in (Jurado, Redondo, et al, 2014).…”

Section: Its In the Idementioning

confidence: 99%

A Neural Network Model for a Tutoring Companion Supporting Students in a Programming with Java Course

Day

Gonzalez-Sanchez

2019

Proceedings of the 50th ACM Technical Symposium on Computer Science Education

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Feedback represents a vital component of the learning process and is especially important for Computer Science students. With class sizes that are often large, it can be challenging to provide individualized feedback to students. Consistent, constructive, supportive feedback through a tutoring companion can scaffold the learning process for students.This work contributes to the construction of a tutoring companion designed to provide this feedback to students. It aims to bridge the gap between the messages the compiler delivers, and the support required for a novice student to understand the problem and fix their code. Particularly, it provides support for students learning about recursion in a beginning university Java programming course. Besides also providing affective support, a tutoring companion could be more effective when it is embedded into the environment that the student is already using, instead of an additional tool for the student to learn. The proposed Tutoring Companion is embedded into the Eclipse Integrated Development Environment (IDE).This thesis focuses on the reasoning model for the Tutoring Companion and is developed using the techniques of a neural network. While a student uses the IDE, the Tutoring Companion collects 16 data points, including the presence of certain key words, cyclomatic complexity, and error messages from the compiler, every time it detects an event, such as a run attempt, debug attempt, or a request for help, in the IDE. This data is used as inputs to the neural network. The neural network produces a correlating single output code for the feedback to be provided to the student, which is displayed in the IDE.

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Section: Its In the Idementioning

confidence: 99%

A Neural Network Model for a Tutoring Companion Supporting Students in a Programming with Java Course

Day

Gonzalez-Sanchez

2019

Proceedings of the 50th ACM Technical Symposium on Computer Science Education

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An Online Education Approach Using Web Operation Record and Replay Techniques

Sun

Chen

Jiao

et al. 2014

2014 IEEE 38th Annual Computer Software and Applications Conference

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Online education plays a more and more important role in the era of Internet and cloud computing, but two problems remain unsolved including MOOCs. First, most of existing online education platforms only provide teaching materials in format of ppt, pdf, video, and they seldom support education based on graphical Web applications. Second, some online education platforms may provide self-governed chatting tools or whiteboards, but they are not combined with teaching materials closely. As a result, they cannot satisfy the need for the real-time interactions based on complex teaching materials. To solve the problems above, we put forward an online education approach using Web operation record and replay techniques, and implement online synchronized education and real-time interactions between teachers and students. Moreover, we develop a supporting tool OSEP for the approach. In the case study, we describe three education scenarios, which verify that the approach supports not only personal learning by tutorials and wizards, but also online inclass real-time collaborative learning.

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