Finnish Basic Education Teacher ICT Skills and Usage
Age, Gender, Self-Efficacy, In-Service Training, and Urbanization Level
By [source]
About this dataset
This dataset contains data on the digital usage habits and ICT skills of Finnish basic education teachers from 2017-2019. It includes valuable background information such as age, gender, postal code of place of employment, teacher types, and urbanization level. Furthermore, this dataset also includes variables that measure self-efficacy in digital skills; perceived adequacy of in-service training in digital skills; frequency with which these teachers use digital technologies; and a summative measure for identifying, retrieving, processing, and sharing information.
With this data set researchers can study the effects of existing programs targeted to enhance teachers’ technology usage in Finnish basic education as well as explore the differences between different demographics when it comes to ICT knowledge and activity levels. The connection between age groups or geographical areas' digital literacy can be revealed by analyzing trends from the data presented here. Additionally Researchers will be able to gain insight on how urbanization affects ICT skill levels among teachers as well as look into whether adequate training is being provided for keeping up with changing technologies in educational environments.
This comprehensive dataset is an incredibly valuable resource for those studying the role that technology has to play in our current educational systems
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How to use the dataset
This dataset provides valuable insights into Finnish basic education teachers’ ICT skills and how they use digital technology in the classroom. Here are some tips to help you get the most out of this dataset:
- Analyze the demographic characteristics of teachers in Finland and identify any patterns or trends that may exist between teacher characteristics and their self-efficacy, training adequacy, and digital activity levels.
- Examine how age, gender, urbanization level (or lack thereof), teacher type, and information skills affect perceived digital competency levels among Finnish basic education teachers.
- Compare different types of training programs for Finnish basic education teachers to discern which are most effective at improving their ICT skills as well as their adoption of digital technologies in the classroom.
- Utilize this data to understand Finland’s approach to digital literacy education across geographic regions, with a particular focus on rural areas versus more urbanized zones where access to technology varies significantly.
- Finally, research how digital usage habits among Finnish basic educators may be changing over time by utilizing data from multiple years within this dataset as a starting point for further investigation into trends over time ining self-efficacy ratings or frequency/type of usage by year or season
Research Ideas
- Analyzing differences in digital skills, self-efficacy, and usage habits between different age groups and genders.
- Examining the relationship between urbanization level and teachers’ digital activity.
- Investigating how information technology skills can be used to enhance digital literacy in Finnish classrooms
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: Information_skills_teachers.csv
Column name |
Description |
Urbanization_level |
Level of urbanization of the teacher's place of employment. (Categorical) |
Age |
Age of teacher. (Numerical) |
Self_efficacy |
Self-efficacy in digital skills. (Categorical) |
Inservice_training |
Perceived adequacy of in-service training in digital skills. (Categorical) |
Digital_activity |
Frequency with which the teacher uses digital technologies. (Categorical) |
Gender |
Gender of teacher. (Categorical) |
Information_skills |
Summative measure for identifying/retrieving/processing/sharing information. (Numerical) |
Teacher_type |
Type of teacher. (Categorical) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .