Samantha Jim�nez, Reyes Ju�rez-Ram�rez, Alan Ram�rez-Noriega, �ngeles Quezada, Sergio Inzunza, V�ctor H. Castillo
{"title":"A Conceptual Framework for Learning Systems Evaluation","authors":"Samantha Jim�nez, Reyes Ju�rez-Ram�rez, Alan Ram�rez-Noriega, �ngeles Quezada, Sergio Inzunza, V�ctor H. Castillo","doi":"10.1109/CONISOFT.2017.00028","DOIUrl":null,"url":null,"abstract":"A conceptual framework for learning systems evaluation based on literature review is proposed. Learning systems are the most recent way to carry out distance education by distributing learning material and processes over the Internet. It’s anytime, and any place vision could be part of a winning strategy for particular needs, such as provide support for students. However, there are many problems in the process of developing learning systems, particularly on evaluation such as what to evaluate, how many samples should be used and how much time should take the interaction with the system. This study purpose some answers to these questions based on literature review and experts opinions. This work does not pretend to be a final solution to these problems; it tries to provide some standardization of aspects involved in experiment design for evaluating learning systems. The conceptual framework includes some factors to be assessed; also, it proposed some instruments to measure each factor and some reference numbers of sample and interaction time. The framework is scalable, and as future work, it was suggested to enhance it adding more factors, instruments and other experimental characteristics such as statistic hypothesis test for each factor.","PeriodicalId":357557,"journal":{"name":"2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONISOFT.2017.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A conceptual framework for learning systems evaluation based on literature review is proposed. Learning systems are the most recent way to carry out distance education by distributing learning material and processes over the Internet. It’s anytime, and any place vision could be part of a winning strategy for particular needs, such as provide support for students. However, there are many problems in the process of developing learning systems, particularly on evaluation such as what to evaluate, how many samples should be used and how much time should take the interaction with the system. This study purpose some answers to these questions based on literature review and experts opinions. This work does not pretend to be a final solution to these problems; it tries to provide some standardization of aspects involved in experiment design for evaluating learning systems. The conceptual framework includes some factors to be assessed; also, it proposed some instruments to measure each factor and some reference numbers of sample and interaction time. The framework is scalable, and as future work, it was suggested to enhance it adding more factors, instruments and other experimental characteristics such as statistic hypothesis test for each factor.