Meaningful learning in the tutoring system for programming

Dadic, T.; Stankov, Slavomir; Rosić, Marko

doi:10.1109/iti.2008.4588458

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…There is a long history of tools for visualizing the internal memory state while a program runs, which can have a positive impact while teaching [23]. While these tools have always had an implicit notional machine as their basis for representation, it is only recently that some focus has shifted to explicitly describing notional machines and how the visualization supports them, makes them easier to comprehend, or more useful [6,8,17]. In this paper we continue this separation of visualizations from notional machines.…”

Section: Session: Student Understandingmentioning

confidence: 99%

“…Although introduced in the 1980s by DuBoulay et al [12,13] it wasn't until around 2008 that work on notional machines started to appear in the literature with focus, for instance [8,28]. The work of Sorva was influential in this period [29][30][31] followed by other authors through 2019, including [3,4,6,7,10,14,17,21,26,34,35].…”

Section: Notional Machine Literaturementioning

confidence: 99%

“…Some of this work is more focused on memory visualization [8,10,21,24,34], where notional machines are more secondary. Part of the reason we are attempting to draw a line between the visualization of memory and the notional machine concept is that we believe it is valuable for teachers to be able to choose the best visualization for their particular context to present with a notional machine.…”

Section: Notional Machine Literaturementioning

confidence: 99%

See 2 more Smart Citations

Engage Against the Machine: Rise of the Notional Machines as Effective Pedagogical Devices

Dickson

Brown

Becker

2020

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

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Section: Session: Student Understandingmentioning

confidence: 99%

Section: Notional Machine Literaturementioning

confidence: 99%

Section: Notional Machine Literaturementioning

confidence: 99%

See 1 more Smart Citation

Engage Against the Machine: Rise of the Notional Machines as Effective Pedagogical Devices

Dickson

Brown

Becker

2020

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

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“…Knowing the quantities of one's understanding of all the Knowledge Points facilitates many new applications, besides the use cases mentioned in [15], it can augment Meaningful Learning. Meaningful learning is the concept that learned knowledge is fully understood to the extent that it relates to other knowledge, implies there is a comprehensive knowledge of the context of the facts learned [6]. Computer-aided For example, a college student, who has comprehended the basic knowledge of advanced mathematics and Computer Science, wants to be an expert of Artificial Intelligence (AI) by teaching himself.…”

Section: Computer-aided Meaningful Learningmentioning

confidence: 99%

Understanding Tree: a tool to estimate one's understanding of knowledge

Liu

2016

Preprint

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People learn whenever and wherever possible, and whatever they like or encounter-Mathematics, Drama, Art, Languages, Physics, Philosophy, and so on. With the bursting of knowledge, evaluation of one's possession of knowledge becomes increasingly difficult. There are a lot of demands to evaluate one's understanding of a piece of knowledge. Assessment of understanding of knowledge is conventionally through tests or interviews, but they have some limitations such as lowefficiency and not-comprehensive. This paper proposes a method called Understanding Tree to estimate one's understanding of knowledge, by keeping track of his/her learning activities. It overcomes some limitations of traditional methods, hence complements traditional methods.

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“…Therefore, model solutions from an instructor are used as a basis from which we generate the strategy and the corresponding feedback. This approach is used in ASK-ELLE as well as in a number of other recent programming tutors [Dadic et al 2008;Hong 2004;Singh et al 2013] and provides a number of advantages:…”

Section: The Imperative Programming Processmentioning

confidence: 99%

Strategy-based feedback in a programming tutor

Keuning

Heeren

Jeuring

2014

Proceedings of the Computer Science Education Research Conference

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More and more people take up learning how to program: in schools and universities, in large open online courses or by learning it by themselves. A large number of tools have been developed over the years to support learners with the difficult task of building programs. Many of these tools focus on the resulting program and not on the process: they fail to help the student to take the necessary steps towards the final program.We have developed a prototype of a programming tutor to help students with feedback and hints to progress towards a solution for an introductory imperative programming problem. We draw upon the ideas of a similar tutor for functional programming and translate these ideas to a different paradigm. Our tutor is based on model solutions from which a programming strategy is derived, capturing the different paths to these solutions. We allow for variation by expanding the strategy with alternatives and using program transformations. The instructor is able to adapt the behaviour of the tutor by annotating the model solutions.We show a tutoring session to demonstrate that a student can arrive at a solution by following the generated hints. We have found that we can recognise between 33% and 75% of student solutions to three programming exercises that are similar to a model solution, which we can increase by incorporating more variations.

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Meaningful learning in the tutoring system for programming

Cited by 6 publications

References 7 publications

Engage Against the Machine: Rise of the Notional Machines as Effective Pedagogical Devices

Engage Against the Machine: Rise of the Notional Machines as Effective Pedagogical Devices

Understanding Tree: a tool to estimate one's understanding of knowledge

Strategy-based feedback in a programming tutor

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