{"title":"The effects of student-instructor interaction and paired/individual study on achievement in computer-based training (CBT)","authors":"Stanley D. Stephenson","doi":"10.21236/ada248518","DOIUrl":"https://doi.org/10.21236/ada248518","url":null,"abstract":"Abstract : Research shows that interaction between the students and instructor can improve performance in computer-based training (CBT). Small group study can also improve CBT performance. However, there is no data available on the interaction between these two variables. Therefore, a 2 x 2 factorial design experiment was conducted. Two hypotheses were tested: (1) paired learning would have a positive effect on performance; and (2) interactions between student and instructor would have a positive effect. The experimental data support the first hypothesis. They provide only moderate support for the second. Perhaps a CBT partner can provide the feedback and support usually given by the instructor in a traditional setting. More research is needed on the social aspects of learning and the role of the instructor in CBT.","PeriodicalId":334909,"journal":{"name":"The Journal of Computer Based Instruction","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114397872","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 critical factors that limit the effectiveness of machine intelligence technology in military systems applications","authors":"S. Harris, J. Owens","doi":"10.21236/ada150684","DOIUrl":"https://doi.org/10.21236/ada150684","url":null,"abstract":"Abstract : Machine intelligence technology is not the product of a recent breakthrough in computer system design as many have been led to believe. The fundamental concepts, and many of the underlying problems in the design of today's intelligent machines, were recognized fifty years ago, and earlier. Research efforts in diverse areas, some spanning decades, have culminated in the current state of the technology. However, numerous and often perplexing methodological problems currently challenge system development and thwart the widespread and successful application of the technology in critical areas. The issues discussed in this paper arise from the failure of MI technology to confront and effectively solve many of the complex problems inherent in military systems applications. Most critical is the fact that performance criteria for intelligent machines are vague and inadequate, or completely unspecified in some instances. It is often impossible to ascertain from the reported data exactly what a system is supposed to do and how well its functions are performed. The problem of performance assessment is one of several difficult issues discussed in this report.","PeriodicalId":334909,"journal":{"name":"The Journal of Computer Based Instruction","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1986-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132497728","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":"Models of the Learner in Computer-Assisted Instruction","authors":"J. D. Fletcher","doi":"10.21236/ada020725","DOIUrl":"https://doi.org/10.21236/ada020725","url":null,"abstract":"Abstract : The adaptability of computer-assisted instruction to individuals should be enhanced by the use of explicit models of the learner. To be appropriate for computer representation, these models must take the form of effective procedures. Such procedures may be derived from four areas of investigation: quantitative models of memory, regression models of performance, automaton models of performance, and artificial intelligence. Relevant work in these four areas is identified and reviewed.","PeriodicalId":334909,"journal":{"name":"The Journal of Computer Based Instruction","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1975-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129463749","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":"CAI in pharmacology: student academic performance and instructional interactions","authors":"L. Pagliaro","doi":"10.7939/R3H98ZQ8H","DOIUrl":"https://doi.org/10.7939/R3H98ZQ8H","url":null,"abstract":"","PeriodicalId":334909,"journal":{"name":"The Journal of Computer Based Instruction","volume":"9 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":"130262035","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}