Related Experiment Video
Updated: Jun 29, 2025

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
Published on: June 23, 2023
Data on mathematics teacher educators' proficiency and willingness to use technology: A structural equation modelling
1Department of Mathematics, Science and Technology Education, Walter Sisulu University, Mthatha, South Africa.
Mathematics Teacher Educators (MTEs) in Zambia need enhanced training to integrate technology effectively. This study explores their proficiency and willingness to use new digital tools for 21st-century math education.
Area of Science:
- Educational Technology
- Mathematics Education
- Teacher Training
Background:
- Technology integration is crucial for developing 21st-century skills in mathematics.
- Rapid technological advancements (AI, data analytics) pose challenges for educators.
- Mathematics Teacher Educators (MTEs) play a key role in preparing teachers for technology-enhanced instruction.
Purpose of the Study:
- To survey MTEs in Zambia regarding their technology proficiency, perceived usefulness, ease of use, and willingness to integrate technology.
- To provide data-driven insights into the current landscape of technology adoption in mathematics teacher education.
- To inform mathematics teacher training institutions and stakeholders on fostering technological skills.
Main Methods:
- Survey of 104 Mathematics Teacher Educators in Zambia.
- Data analysis to identify patterns in proficiency, perceived usefulness, ease of use, and willingness.
- Structural equation modeling to assess measurement models of hypothesized relationships.
Main Results:
- Presents and describes data from the survey, focusing on MTEs' technology-related perceptions and skills.
- Unveils patterns and trends in the dataset regarding technology integration readiness.
- Highlights the data collection process and measurement model assessment procedures.
Conclusions:
- The study offers insights into the current state of technology integration by MTEs in Zambia.
- Identifies areas for development in MTEs' technological competencies and pedagogical approaches.
- Serves as a resource for improving mathematics teacher training programs to meet evolving technological demands.
More Related Videos
12:55Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
Mechanistic Models: Compartment Models in Individual and Population Analysis
Stereotype Content Model
Steps in the Modeling Process
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...