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Teachers' perception of data-driven school ecosystem and data analytics

Published: 10 January 2019 Publication History

Abstract

Data collection of students' learning performance, attendance and behaviour support teacher's classroom management, school administration and governance. Data collection support collaboration of school with parents and collaboration of teachers within the school as between schools in the curriculum at the level of instructional design and lesson delivery. The purpose of this study is to examine how teachers perceive the increasingly data-driven school routines and how they use documentation information systems (DIS) in their pedagogical work. A survey was conducted on a representative sample of teachers from 220 elementary schools. These schools were randomly selected from a list of all Slovene schools, in total 452. The original instrument was designed by authors of this paper. Findings indicate that respondents are most often using DIS for the management of e-diaries, e-schedules and annual and semi-annual printouts of various documents. There is the difference between teachers regarding the school level, and the frequency of ICT use generally affects the frequency of ICT use in the pedagogical process.

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  • (2022)Effects and acceptance of precision education in an AI-supported smart learning environmentEducation and Information Technologies10.1007/s10639-021-10664-327:2(2013-2037)Online publication date: 1-Mar-2022
  • (2020)Learning behavior mining and decision recommendation based on association rules in interactive learning environmentInteractive Learning Environments10.1080/10494820.2020.179902831:2(593-608)Online publication date: 4-Aug-2020

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    cover image ACM Other conferences
    IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning
    January 2019
    469 pages
    ISBN:9781450366021
    DOI:10.1145/3306500
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 January 2019

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    Author Tags

    1. annual planning
    2. curriculum
    3. documentation information systems
    4. instructional design
    5. learning analytics
    6. teachers

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    View all
    • (2022)College education: Problem-solving creativity in an interactive learning environmentEducation and Information Technologies10.1007/s10639-022-11150-028:1(217-236)Online publication date: 27-Jun-2022
    • (2022)Effects and acceptance of precision education in an AI-supported smart learning environmentEducation and Information Technologies10.1007/s10639-021-10664-327:2(2013-2037)Online publication date: 1-Mar-2022
    • (2020)Learning behavior mining and decision recommendation based on association rules in interactive learning environmentInteractive Learning Environments10.1080/10494820.2020.179902831:2(593-608)Online publication date: 4-Aug-2020

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