Quality Control of Statistical Learning Environments and Prediction of Learning Outcomes through Reproducible Computing

Wessa, Patrick

doi:10.15837/ijccc.2009.2.2426

Cited by 3 publications

(6 citation statements)

References 26 publications

(27 reference statements)

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“…Table 3 shows the exogenous variables that were chosen to create rule–based regression trees. This choice was based on previous research (such as [29] , [45] , [46] ) which allowed us to focus on the most important variables. The first three variables are positive, numeric integers.…”

Section: Resultsmentioning

confidence: 99%

“…The methodology that allows us to do this is based on a mathematical model which is described in [29] that has been shown to yield statistical models that improve the predictability of learning outcomes substantially.…”

Section: Methodsmentioning

confidence: 99%

“…In order to be able to compare the dependencies of exam scores on exogenous variables, which are based on objective measurements of (constructivist) learning activities, it is necessary to apply optimal exam score transformations for both years. The methodology that allows us to do this is based on a mathematical model which is described in [29] that has been shown to yield statistical models that improve the predictability of learning outcomes substantially.…”

Section: Methodsmentioning

confidence: 99%

“…The CP allows us to create constructivist learning environments which are based on Reproducible Computing as described in [27] and [5] (and which is freely available at http://www.wessa.net and http://www.r-project.org ; [28] ). The CP has several advantages that relate to the monitoring of actual learning processes and educational quality control ( [29] ). Henceforth, the term SLE refers to the computational system that we created and which comprises the actual statistical software ( R Framework ), the CP (and associated repository of reproducible computations), and all interfaces that allow users and other software systems to interact with the components that are contained therein.…”

Section: Introductionmentioning

confidence: 99%

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Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

2011

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BackgroundWe introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE) in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses), which required us to develop a specific–purpose Statistical Learning Environment (SLE) based on Reproducible Computing and newly developed Peer Review (PR) technology.ObjectivesThe main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience.MethodsBoth VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively.ResultsThe effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student population under investigation. The findings demonstrate that a content–based design outperforms the traditional VLE–based design.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

2011

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“…Using appropriate methods, data mining can solve two broad categories of problems: prediction and description [10] [14]. The most used methods for prediction are classifications and regressions, and for description, clustering, deviation detection or association rules.…”

Section: Data Mining and Its Application In Logopaedic Areamentioning

confidence: 99%

Advanced Information Technology - Support of Improved Personalized Therapy of Speech Disorders

Danubianu

Pentiuc

Schipor

et al. 2010

INT J COMPUT COMMUN

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One of the key challenges of the Sustainable Development Strategy adopted by the European Council in 2006 is related to public health whose general objective envisages a good level of public health. One of the specific targets includes better treatments of diseases. It is true that there are affections which by their nature do not endanger the life of a person, however they may have a negative impact on her/his life standard. Various language or speech disorders are part of this category, but if they are discovered and treated in due time, they can be often corrected. The difficulty for researchers and therapists is to identify those children who have disorders that show a wide range of issues that cannot be solved spontaneously or which may lead to further significant deficiencies. Information technology in the latest years was used by specialists in order to assist and supervise speech disorder therapy. Consequently they have collected a considerable volume of data about the personal or familial anamnesis, regarding various disorders or regarding the process of personalized therapies. These data can be used in data mining processes that aim to discover interesting patterns which can help the design and adaptation of different therapies in order to obtain the best results in conditions of maximum efficiency. The aim of this paper is to present the Logo-DM system. This is a data mining system that can be associated with TERAPERS system in order to use the data from its database as a source for analysis and to provide new information based on an improved system of therapy. Through the use of appropriate techniques of data mining Logo-DM realizes predictions on the evolution and the final status of patients undergoing therapy and enriches the knowledge data of expert system embedded in TERAPERS.

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State of the Art on Statistical Education and the Consideration of Individual Differences of Students

Mateus-Aguilera¹

2022

Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference

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Students immersed in a learning environment adapted to their individual differences often achieve better performance, entrenching their motivations and emotions in a course. In statistical education this consideration is recent compared to other fields, therefore, it is considered necessary to establish the state of the art in this respect. This systematic review analyzed 52 research papers, which were rigorously selected from three databases. Among the findings, a descriptive analysis is made on the objectives, populations, educational levels and the instruments used. In general, it is found that one of the most studied factors is attitude, greater training is required for teachers and use methodologies that develop learning objectives. Los estudiantes inmersos en un ambiente de aprendizaje adaptado a sus diferencias individuales suelen alcanzar un mejor desempeño, afianzar sus motivaciones y emociones en un curso. En la educación estadística esta consideración es reciente en comparación con otros campos, por lo tanto, se considera necesario establecer el estado del arte al respecto. Esta revisión sistemática analizó 52 artículos de investigación, que fueron seleccionados rigurosamente de tres bases de datos. Entre los hallazgos se hace un análisis descriptivo sobre los objetivos, las poblaciones, los niveles educativos y los instrumentos usados. En general, se encuentra que: uno de los factores más estudiados es el de la actitud, se requiere mayor capacitación para los docentes y usar metodologías que desarrollen los objetivos de aprendizaje.

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Quality Control of Statistical Learning Environments and Prediction of Learning Outcomes through Reproducible Computing

Cited by 3 publications

References 26 publications

Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

Advanced Information Technology - Support of Improved Personalized Therapy of Speech Disorders

State of the Art on Statistical Education and the Consideration of Individual Differences of Students

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