Java as a teaching language—opportunities, pitfalls and solutions

Clark, David; MacNish, Cara; Royle, Gordon F.

doi:10.1145/289393.289418

Cited by 20 publications

(15 citation statements)

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“…They have been found to be fairly effective in improving the understanding of object orientation, coming up with better object designs for Java programs. The issues addressed here somewhat complement other well-known pitfalls about this language that have been described elsewhere [4,17,15,22,10], ranging from primitive types as a weakness of Java [25] to the subtleties of Java I/O [30].…”

Section: Introductionmentioning

confidence: 80%

Strategies for teaching object-oriented concepts with Java

Sicilia

2006

Computer Science Education

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Abstract. A considerable amount of experiences in teaching object oriented concepts using the Java language have been reported to date, some of which describe language pitfalls and concrete learning difficulties. In this paper, a number of additional issues that have been experienced as difficult for students to master, along with approaches intended to overcome them, are addressed. Concretely, practical issues regarding associations, interfaces, genericity and exceptions are described. These issues suggest that more emphasis is required on presenting Java programs as derivations of conceptual models, in order to guarantee that a thorough design of the object structure actually precedes implementation issues. In addition, common student misunderstandings about the uses of interfaces and exceptions point out to the necessity of introducing both specific design philosophies and also a clear distinction between design-for-reuse and more specific implementation issues.

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Section: Introductionmentioning

confidence: 80%

Strategies for teaching object-oriented concepts with Java

Sicilia

2006

Computer Science Education

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“…Despite the popularity of languages such as Java, C and C++, there has been much debate about the suitability of these languages for education, especially when introducing programming to novices (for example [66,47,12,22,23]). These languages have not been designed specifically for educational purposes, in contrast to others that have been designed with this specific purpose in mind (e.g., Python, Logo, Eiffel, Pascal).…”

Section: Language Choicementioning

confidence: 99%

A survey of literature on the teaching of introductory programming

Pears¹,

Seidman

Malmi³

et al. 2007

SIGCSE Bull.

327

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Three decades of active research on the teaching of introductory programming has had limited effect on classroom practice. Although relevant research exists across several disciplines including education and cognitive science, disciplinary differences have made this material inaccessible to many computing educators. Furthermore, computer science instructors have not had access to a comprehensive survey of research in this area. This paper collects and classifies this literature, identifies important work and mediates it to computing educators and professional bodies.We identify research that gives well-supported advice to computing academics teaching introductory programming. Limitations and areas of incomplete coverage of existing research efforts are also identified. The analysis applies publication and research quality metrics developed by a previous ITiCSE working group [74].

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“…Several studies were conducted regarding the challenges in teaching programming and Java technologies (Ala-Mutka, 2004;Carter & Jenkins, 2010;Clark, MacNish, & Royle, 1998Mehic & Hasan, 2001Pendergast, 2006). Teaching programming requires that the methodologies and strategies be appropriate to the learning styles of the target learners.…”

Section: Introductionmentioning

confidence: 99%

Learning Management System with Prediction Model and Course-content Recommendation Module

Evale

2017

JITE:Research

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Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate appropriate course-content recommendations for the students based on their predicted performance. Methodology : The author used two models for the system development: these are the Fayyad knowledge discovery in databases (KDD) process model for the data mining phase and the evolutionary prototyping for system development. WEKKA and SPSS were used to find meaningful patterns in the historical data, while Ruby on Rails platform was used to develop the software. Contribution: The contribution of this study is the development of an LMS architecture that can be used to augment the capabilities of the existing systems by integrating a data mining technique for modelling the leaners profile; developing of an algorithm for generating predictions; and making the most appropriate recommendations for the learners based on prior knowledge and learning styles. Findings: The result shows that J48 was the best data mining algorithm to be implemented for finding patterns in the data sets used in this study. Attributes such as age, gender, class schedule, and grades in other programming subjects were found relevant in predicting student performance in Java. Recommendations for Practitioners : It is recommended that collaboration between the academe and IT industry be strengthened to develop a more advanced LMS which could enhance classroom teaching and improve the learning process. Recommendation for Researchers: Combination of multiple algorithm in classifying data set is recommended to further improve the algorithm and rule sets of prediction. Inclusion of intrinsic attributes as part of data set aside from personal and academic records is also recommended. Impact on Society : This LMS can be used to produce independent learners. Future Research: Study about the impact of implementing this LMS in classroom environment will be conducted on the second phase.

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Java as a teaching language—opportunities, pitfalls and solutions

Cited by 20 publications

References 0 publications

Strategies for teaching object-oriented concepts with Java

Strategies for teaching object-oriented concepts with Java

A survey of literature on the teaching of introductory programming

Learning Management System with Prediction Model and Course-content Recommendation Module

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