Validating a blended teaching readiness instrument for primary/secondary preservice teachers
Dados Bibliográficos
| ID | 21297528 |
|---|---|
| Autores | Douglas E Archibald (0009-0008-7290-1453, Brigham Young University - Idaho, autor correspondente), Charles R Graham (0000-0001-8598-2602, Brigham Young University - Idaho), Ross Larsen (Brigham Young University - Idaho) |
| Ano | 2021 |
| Volume | 52 |
| Fascículo | 2 |
| Páginas | 536-551 |
| Data de publicação | 2021-03-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | British Journal of Educational Technology (JOURNAL) |
| Identificadores do periódico | ISSN: 0007-1013 • E-ISSN: 1467-8535 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/bjet.13060 |
| OpenAlex | W3115960083 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 20 |
Blended learning is the fastest growing teaching modality in North America and much of the world. However, research and training in blended learning are far outpaced by its usage. To remedy this gap, we developed a competency framework and Blended Teaching Readiness Instrument (BTRI) to help teachers and researchers evaluate teacher readiness for blended environments. The purpose of this research is to show that the blended teaching readiness model and accompanying BTRI are reliable for use with teacher candidates both before and after going through a blended teaching course. This knowledge would allow researchers and practitioners to have greater confidence in using the BTRI for future growth curve modeling for the identified blended teaching competencies. To accomplish this, we collected pre‐ and post‐data from teacher candidates across multiple semesters who were studying in a blended teaching course. Using confirmatory factor analysis, we determined the pre‐class survey results fell within the range of the four fit statistics cutoffs (RMSEA = 0.045, CFI = 0.933, TLI = 0.929 and SRMR = 0.043). And, the post‐class survey results had good fit as well (RMSEA = 0.044, CFI = 0.911, TLI = 0.905 and SRMR = 0.051). We also showed that the factor loadings and communalities were statistically significant. By testing the factors in this way, we make a case for the survey to be a valid and reliable instrument in assessing blended teacher competency. Additionally, we tested the model for measurement invariance and found that we could reliably use the BTRI for pre‐post growth modeling. Practitioner Notes What is already known about this topic? Blended learning is the fastest growing teaching modality in Canada and the United States, and is expanding rapidly throughout the rest of the world. Teaching in blended learning settings requires distinct skills and dispositions specific to the modality. A blended‐teaching‐focused competency framework is a necessary element in any blended teacher preparation program. Though there have been attempts to make a blended teaching framework before, none of these exclusively focus on the distinct skills of blended teaching nor have they been validated. What this paper adds? Describes our free, publicly accessible competency framework that focuses exclusively on blended teaching Validates a concise Blended Teaching Readiness Instrument (BTRI) to go along with the framework. Confirms pre‐post measurement invariance for the BTRI which allows for use with pre‐post growth modeling. Implications for practice and policy The competency framework and validation are a theoretical contribution to the rapidly expanding field of blended learning research. With the valid BTRI instrument and framework, teachers can get feedback on their strengths and weaknesses in blended teaching and learn how to improve and help others.
Blended Learning · Class (philosophy) · Confirmatory factor analysis · Data collection · Educational technology · Mathematics education · Statistics · Structural equation modeling · Teacher education · Computer Science · Educational Environments and Student Outcomes · Mathematics · Online and Blended Learning · Psychology · Teacher Education and Leadership Studies
Development of the Online and Blended Teaching Readiness Assessment (OBTRA)
Enhancing educational through blended teaching
Testing and Validating a Faculty Blended Learning Adoption Model
A Problem-Centered Approach to Designing Blended Courses
Barriers and enablers to K-12 blended teaching
Blended teaching readiness of EFL instructors and their perceptions about blended learning in English preparatory schools
Examining teachers’ readiness for blended teaching with a revised model and instrument
K-12 blended learning readiness in emerging contexts exploring the readiness of institutions, teachers, and students in Mongolia
What Does It Take to Build a Blended Teacher Education Program for Personalized and Blended Learning Schools
Preparing Teachers to Teach in K-12 Blended Environments
Handbook of Research on Educational Communications and Technology
Structural Equation Modeling
Applied Psychometrics
Factors affecting response rates of the web survey
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Structural Equations with Latent Variables
Confirmatory Factor Analysis of Scores on the Clinical Experience Rubric
The Noncentral Chi-square Distribution in Misspecified Structural Equation Models
Improving Educational Research
Principles and Practice of Structural Equation Modeling
| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 2 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 10 |