LIM-G: Learner-initiating instruction model based on cognitive knowledge for geometry word problem comprehension

Wong, Wing-Kwong; Hsu, Sung‐Chi; Wu, Shih-Hung; Lee, Cheng-Wei; Hsu, Wen-Lian

doi:10.1016/j.compedu.2005.03.009

Cited by 44 publications

(28 citation statements)

References 15 publications

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“…In novice programming, a minor emphasis has been given to interpret the programming meaning of a given textual description in comparison to focusing on flowcharts and the generated code. Some tools have already been developed for automatic problem-solving in mathematic namely LIM-G [8], ALBERT [9] and FREEBODY [10] plus a few other studies. LIM-G and ALBERT concentrated more on domain-specific knowledge base and NLP (Natural Language Processing) approaches so as to find out more about important types of school-level mensuration as well as physic problems stated in text description along with offering solutions and its diagrams.…”

Section: Related Workmentioning

confidence: 99%

Flowchart-based approach to aid novice programmers: A novel framework

Hooshyar

Ahmad

Nasir

et al. 2014

2014 International Conference on Computer and Information Sciences (ICCOINS)

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Many tools have been used in the programming area to teach programming to novices. The most familiar tools comprise of flowchart-based notation along with programming environments depending on icons. Much more exploration on this area has disclosed that the deficiency of problem-solving abilities is directly tied with language syntax that they apply and the development environment. The main objective of this research is to develop a framework for improving the problem-solving skills of novice programmers. Hence, our research proposes a novel strategy, simulating human mechanism of solving problems in programming by converting the textual description of a problem, in English, into a flowchart. Two knowledge bases are employed to interpret the programming meaning of a given textual description in an attempt to draw its flowchart. Our future work will include the implementation and evaluation of this proposed framework.

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Section: Related Workmentioning

confidence: 99%

Flowchart-based approach to aid novice programmers: A novel framework

Hooshyar

Ahmad

Nasir

et al. 2014

2014 International Conference on Computer and Information Sciences (ICCOINS)

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“…In a study by Li & Chen (1988), an expert system was constructed for helping users learn concepts of computer science. In studies by Wong et al (2007Wong et al ( , 2008), a knowledge model of geometric concepts was used to understand word problems of geometry proofs. Lees and Cowie (1996) proposed an enquiry system for training students to learn UNIX commands.…”

Section: Problems Using a Dge In Classmentioning

confidence: 99%

Drawing dynamic geometry figures online with natural language for junior high school geometry

Wong

Yin

Yang

2012

IRRODL

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<p>This paper presents a tool for drawing dynamic geometric figures by understanding the texts of geometry problems. With the tool, teachers and students can construct dynamic geometric figures on a web page by inputting a geometry problem in natural language. First we need to build the knowledge base for understanding geometry problems. With the help of the knowledge base engine InfoMap, geometric concepts are extracted from an input text. The concepts are then used to output a multistep JavaSketchpad script, which constructs the dynamic geometry figure on a web page. Finally, the system outputs the script as an HTML document that can be visualized and read with an internet browser. Furthermore, a preliminary evaluation of the tool showed that it produced correct dynamic geometric figures for over 90% of problems from textbooks. With such high accuracy, the system produced by this study can support distance learning for geometry students as well as distance learning in producing geometry content for instructors.<br /><br /></p>

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“…Moreover, the system could generate graphical clues to help students master solving methods and offer teachers a detailed error procedures analysis report about students to know about matters. In recent years, the main word problem auto-solving systems are ROBUST [4] , LIM-G [5] , MSWPSA [6] , and SoMaPoTeS [7] . The research of word problems' text comprehension has developed from artificial and real-time participation to automatic solving and from simple sentences to complex.…”

Section: Introductionmentioning

confidence: 99%

Word Problem Auto-solving System Development: Centered on the Algorithm of Processing You-Sentence from Chinese Word Problem

Zhou¹,

Wang²,

Huang³

et al. 2013

2013 IEEE 13th International Conference on Advanced Learning Technologies

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Based on the theory and technology of artificial intelligence, internet, and cognitive psychology, word problem auto-solving and intelligent tutoring technologies have become hot issues of research in recent years. However, since word problem is described by natural language, the number of resolved problems is limited. The paper researches the algorithm of processing You-sentence and develops an autosolving system based on it to prove the validity of the algorithm.

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LIM-G: Learner-initiating instruction model based on cognitive knowledge for geometry word problem comprehension

Cited by 44 publications

References 15 publications

Flowchart-based approach to aid novice programmers: A novel framework

Flowchart-based approach to aid novice programmers: A novel framework

Drawing dynamic geometry figures online with natural language for junior high school geometry

Word Problem Auto-solving System Development: Centered on the Algorithm of Processing You-Sentence from Chinese Word Problem

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