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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled TrialsAdjei, Seth Akonor 25 April 2018 (has links)
Prerequisite skill structure graphs represent the relationships between knowledge components. Prerequisite structure graphs also propose the order in which students in a given curriculum need to be taught specific knowledge components in order to assist them build on previous knowledge and improve achievement in those subject domains. The importance of accurate prerequisite skill structure graphs can therefore not be overemphasized. In view of this, many approaches have been employed by domain experts to design and implement these prerequisite structures. A number of data mining techniques have also been proposed to infer these knowledge structures from learner performance data. These methods have achieved varied degrees of success. Moreover, to the best of our knowledge, none of the methods have employed extensive randomized controlled trials to learn about prerequisite skill relationships among skills. In this dissertation, we motivate the need for using randomized controlled trials to refine prerequisite skill structure graphs. Additionally, we present PLACEments, an adaptive testing system that uses a prerequisite skill structure graph to identify gaps in students’ knowledge. Students with identified gaps are assisted with more practice assignments to ensure that the gaps are closed. PLACEments additionally allows for randomized controlled experiments to be performed on the underlying prerequisite skill structure graph for the purpose of refining the structure. We present some of the different experiment categories which are possible in PLACEments and report the results of one of these experiment categories. The ultimate goal is to inform domain experts and curriculum designers as they create policies that govern the sequencing and pacing of contents in learning domains whose content lend themselves to sequencing. By extension students and teachers who apply these policies benefit from the findings of these experiments.
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A typology of the requisite skills for financial services employees to enhance self-service technology usage : the case of the South African banking industryThaver, Gerald 02 1900 (has links)
Financial services institutions invest in self–service technologies for various reasons. These include the demands to rationalise costs and to meet the channel preferences of a „technology- savvy‟ client base. Some advantages of self–service technologies (“SSTs”) include the optimisation of staff activities and faster and improved customer services.
Retail banks experience various migration-related costs when migrating customers to an SST environment; in terms of both branch infrastructure and the development of employee skills. Some customers continue to favour face-to-face service interactions, which necessitates an identification and evaluation of the necessary skills required by employees to facilitate this migration process. This study aims to both identify and classify the requisite skills needed by financial services professionals to enable them to migrate customers from physical to electronic service channels; including ATMs.
With the appropriate training and competencies, employees can guide customers more effectively through the migration process in a non-judgemental way. This would, in turn, address the lack of self-service technology understanding among customers in the longer term. The lack of support from skilled service employees has, in many instances, led to customers paying higher transactional fees and experiencing inconvenience at physical channels, thereby resulting in overall lower self-service usage. / Business Management / DBL
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A typology of the requisite skills for financial services employees to enhance self-service technology usage : the case of the South African banking industryThaver, Gerald 02 1900 (has links)
Financial services institutions invest in self–service technologies for various reasons. These include the demands to rationalise costs and to meet the channel preferences of a „technology- savvy‟ client base. Some advantages of self–service technologies (“SSTs”) include the optimisation of staff activities and faster and improved customer services.
Retail banks experience various migration-related costs when migrating customers to an SST environment; in terms of both branch infrastructure and the development of employee skills. Some customers continue to favour face-to-face service interactions, which necessitates an identification and evaluation of the necessary skills required by employees to facilitate this migration process. This study aims to both identify and classify the requisite skills needed by financial services professionals to enable them to migrate customers from physical to electronic service channels; including ATMs.
With the appropriate training and competencies, employees can guide customers more effectively through the migration process in a non-judgemental way. This would, in turn, address the lack of self-service technology understanding among customers in the longer term. The lack of support from skilled service employees has, in many instances, led to customers paying higher transactional fees and experiencing inconvenience at physical channels, thereby resulting in overall lower self-service usage. / Business Management / DBL
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