Abstract

Learning analytics are a set of methods and techniques that collect, process, inform and successfully produce machine-readable data continuously to analyze the educational process and enable improvement decisions. The research aim is to develop and verify an instrument, based on theoretical contributions accepted by the international community that can evaluate the quality of online higher education in management based on Learning Analytics methods. The online teaching-learning model in management proposed that students' actions focused on an educational activity should be in the central position. This online teaching-learning model in management has been proposed according to five components: institution management, technological presence, instructional design, intra-psychological component and an inter-psychological or social component. Building upon the Teaching and Learning in Online Education Institutions in Management Model, an instrument has been created and provided that includes the dimensions, categories and variables of each component. Analyzing these components, we see that the dimensions, categories and variables for each are adequate to support the analysis of online higher education institutions in management.

Highlights

  • Learning analytics are a set of methods and techniques that collect, process, inform and successfully produce machine-readable data continuously to support educational environment and provide insights into learning processes [1].In general, these procedures initially emphasize the measurement and collection of data and preparation for processing during learning activities

  • The results of the Master's Degree classroom analysis show that the interpsychological or social component can be adequately analyzed based on the dimensions, categories and variables proposed by the Model Teaching and Learning in Online Education Institutions in Management

  • For the proper Learning Analytics it is necessary to overcome unrealistic expectations and apply the method to respond to the challenges that management, the teaching-learning process and technology pose in online higher education institutions in management

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Summary

Introduction

Learning analytics are a set of methods and techniques that collect, process, inform and successfully produce machine-readable data continuously to support educational environment and provide insights into learning processes [1]. These procedures initially emphasize the measurement and collection of data and preparation for processing during learning activities. These procedures focus on the analysis, the presentation of data and the interpretation of results. Learning analytics and educational data mining share similar objectives and focus on the intersection of learning science and data-based analytics but show. There are differences in their origins, their techniques, in what fields they emphasize and in types of discovery

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