{"title":"Lost in hyperspace: How can designers help?","authors":"Annette Simpson","doi":"10.1080/14626269009409085","DOIUrl":"https://doi.org/10.1080/14626269009409085","url":null,"abstract":"Abstract Recent advances in technology and the increased availability of microcomputers make it likely that many documents will soon be distributed electronically. One approach to the electronic presentation of documents is to imitate those in the paper medium, hut there are a number of arguments against this approach. An alternative is to use a method which takes advantage of the facilities that the new medium can provide, such as hypertext. It has been proposed that people form mental maps of documents that they read, which are used for navigating through the document. However, the increased flexibility of access which characterises hypertext makes the formation of such maps more difficult, and readers may become lost within the document. The series of studies reported here investigated the influence of a number of variables on subjects' ability to (i) relocate information from within a hierarchical hypertext document, and (ii) construct a map of its structure. An additional measure of interest was the ...","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820304","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":"Plan recognition in intelligent tutoring systems","authors":"E. Whitaker, R. Bonnell","doi":"10.1080/14626269009409091","DOIUrl":"https://doi.org/10.1080/14626269009409091","url":null,"abstract":"Abstract Several plan recognition systems for intelligent tutoring systems are reviewed. A blackboard model for plan recognition systems in intelligent tutoring systems is developed, where the model consists of the following knowledge sources: A Plan Recognizer, a Planner and a Goal Recognizer. A set of six dimensions for plan recognition systems in intelligent tutoring systems is presented and is used for characterization and examination of some existing plan recognition systems.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747240","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":"Article Expertext: Intelligent hypertext","authors":"R. Rada","doi":"10.1080/14626269009409089","DOIUrl":"https://doi.org/10.1080/14626269009409089","url":null,"abstract":"Abstract Intelligent tutoring media can take advantage of hypertext systems and expert systems. Hypertext is text plus an abstraction of the text. In reasoning with this abstraction, a hypertext system manifests expertise. This intelligent hypertext is called expertext. When the abstraction of the text is a semantic network, spreading activation and inheritance methods may help people appreciate the structure of the hypertext. When predicates and implications are included in the abstraction, logical deductions can be performed. Queries can be logically answered and then a sequence of relevant text blocks can be provided as an explanation of the answer. Distributed expertext systems use knowledge bases about the domain of the text and about the users. Distributed expertext systems have been developed which guide people in searching for information and in creating information.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125215406","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":"The anatomy of FITS: A mathematics tutor","authors":"H. Nwana","doi":"10.1080/14626269009409092","DOIUrl":"https://doi.org/10.1080/14626269009409092","url":null,"abstract":"Abstract This paper presents the anatomy of the Fractions Intelligent Tutoring System (FITS). FITS has been evaluated and shown to have improved on the shortcomings of existing tutors in the mathematics domain. The paper concludes with an encouragement for more researchers to publish enough for others to be able to reconstruct their systems.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128177439","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":"Causal Modelling for Structuring Case-Based Learning Environments","authors":"D. Jonassen, E. Mann, D. Ambruso","doi":"10.1080/14626269609408870","DOIUrl":"https://doi.org/10.1080/14626269609408870","url":null,"abstract":"Abstract This paper describes the rationale and process for designing a learning environment, using causal modelling theory in order to model the reasoning required by physicians-in-training to diagnose problems in haematology and transfusion medicine. The causal model includes information gathering, diagnosis, and defence of diagnosis at the initial, aetiology, and differential diagnosis stages.","PeriodicalId":334979,"journal":{"name":"Intell. Tutoring Media","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132272245","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}
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