{"title":"eL: using AI in CALL","authors":"Paul O'Brien","doi":"10.1080/14626269209408301","DOIUrl":"https://doi.org/10.1080/14626269209408301","url":null,"abstract":"Abstract eL is a system for automatic syntactic error correction, intended for use in teaching English to adult learners. This paper explains how the system uses certain AI techniques in syntactic error analysis and correction. We also explore how these ideas can he combined with new insights in user interface design to produce software which has an application in language learning.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114347310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer supported cooperative work: an overview","authors":"P. Wilson","doi":"10.1080/14626269009408268","DOIUrl":"https://doi.org/10.1080/14626269009408268","url":null,"abstract":"Abstract Computer supported cooperative work (CSCW) is a new field which embraces the fields of psychology, sociology, anthropology, linguistics, human factors, computer science and system analysis, design and implementation. CSCW exploits the increasing ubiquity and power of technology, and our growing knowledge of how people work together in groups and teams, in order to improve the effectiveness of teams of all sizes–from two people up to whole organisations. CSCW technology aspects include communication systems, shared workspace facilities, shared information facilities and group activity supportfacilities. CSCW group process aspects include individual aspects, organisational aspects, group work design aspects and group dynamics aspects. The paper discusses all of these issues in more detail as well as describing categories of CSCW products, and the potential long-term impact of CSCW on group work and business activities.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using COCA to build an intelligent tutoring system in simple algebra","authors":"Nigel Major, H. Reichgelt","doi":"10.1080/14626269109408299","DOIUrl":"https://doi.org/10.1080/14626269109408299","url":null,"abstract":"","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114467131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From natural language to mathematical representations: A model of 'mathematical reading'","authors":"M. LeBlanc","doi":"10.1080/14626269109408298","DOIUrl":"https://doi.org/10.1080/14626269109408298","url":null,"abstract":"Abstract Mathematical representations such as equations can account for or unify a large class of semantic structures of arithmetic word problems, each of which can in turn be expressed linguistically. In this paper we describe how a computer-based learning environment, which addresses linguistic and conceptual difficulties that children experience in understanding and solving word problems, is helping elementary-level students to 'see' linguistic descriptions in quantitative or mathematical terms. Past cognitive models have avoided the process of reading, but here a conceptual word analyser parses word problems into unambiguous conceptual representations of the quantities and actions in the word problem. Reading comprehension thus overlaps with mathematical comprehension. Instructional tools allow students to explore connections between representations by manipulating icons. Dynamic linkage of representations allows students to manipulate one representation and see the effect on analogous representations...","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115174262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Student modelling using plan recognition","authors":"Dominique Py","doi":"10.1080/14626269109408296","DOIUrl":"https://doi.org/10.1080/14626269109408296","url":null,"abstract":"Abstract We present a student modelling approach based on plan recognition methods. In some domains, like theorem proving, the student's activity can be seen as consisting of the formation of plans (the proofs) and the execution of actions (the proof steps). Starting from the student's inputs and the problem's search space, the method infers the most plausible plan according to a criterion of coherence. Recognising the student's plan can help predict his next actions and provide him with well-adapted assistance. This modelling technique is applied in an intelligent tutoring system (ITS) which coaches a student during geometry problem-solving. We describe the architecture of the system: the expert, a set of geometry rules together with a theorem prover which can solve problems in different ways and recognise the student's errors; the interface; and the pedagogical module. Finally, we describe the implemented system and its evaluation.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Some techniques for building mathematical intelligent tutoring systems","authors":"T. Chan","doi":"10.1080/14626269109408297","DOIUrl":"https://doi.org/10.1080/14626269109408297","url":null,"abstract":"Abstract Some techniques that are useful in building intelligent tutoring systems for mathematics are described. These techniques have been implemented in Integration-Kid, an intelligent tutoring system for integral calculus. Its production system is a language which helps the problem-solver to interact with students. For the mathematical problem-solver, we have adopted term-rewriting rules which represent basic mathematical knowledge. The situation map is a representation which lays out all possible situations in the process of solving a complex problem. We shall also describe an algorithm which transforms a linear mathematical expression to a readable, two-dimensional expression.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121187757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Student activity in an intelligent learning environment","authors":"M. Twidale","doi":"10.1080/14626269109408295","DOIUrl":"https://doi.org/10.1080/14626269109408295","url":null,"abstract":"Abstract This paper discusses the results of a study of students' use of EPIC, a system for teaching the generation of logic proofs. Besides providing information about the goals, plansandbeliefs of the student, the system was also found to behave as a supportive learning environment. The ' features of the system that had these beneficial effects are described and discussed, as are various difficulties which the students displayed when attempting to learn using the system that have general implications for the development of better learning environments. The observations indicate the great influence of the interface in any learning environment. This can make traditional experimental assessment of the effect of tutoring features problematic. A methodology of small in-depth studies coupled with rapid prototyping is proposed as a desirable mechanism for tutoring system development.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132978564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A simple learning environment improves mathematical reasoning","authors":"Mitchell J. Nathan","doi":"10.1080/14626269109408294","DOIUrl":"https://doi.org/10.1080/14626269109408294","url":null,"abstract":"Abstract ANIMATE, an interactive computer animation-based tutor, has been developed as part of an on-going test of a theory of word problem comprehension. Tutor feedback is unobtrusive and interpretive: unexpected behavior in the equation-driven animation of a situation highlights equation errors which the student resolves through iterative debugging. The student has responsibility for learning, goal-setting and diagnosis. Experimental controls (n = 96) with Motion problems show that improvement cannot be solely attributed to practice, computer use, or use of the situation-based method. Concurrent think-aloud protocols of students (n = 7) solving Motion, Work and Investment problems over two days (in a pretest-posttest design) uncover specific changes which underlie these improvements. ANIMATE is an effective problem-solving aid, and there is transfer of learning. Problems with impossible situations were acknowledged by median-level subjects (posttest scores between 77% and 85%), but solved blindly by hig...","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Alice through the High Street glass: A reply to John Barker","authors":"Blay Whitby","doi":"10.1080/14626269109408286","DOIUrl":"https://doi.org/10.1080/14626269109408286","url":null,"abstract":"","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134365663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}