Specifying Hybrid Models of Teachers’ Work During Covid-19
Bibliographic Data
| ID | 9733431 |
|---|---|
| Authors | Lora Bartlett (University of California, Santa Cruz, CA, corresponding author) |
| Year | 2022 |
| Volume | 51 |
| Issue | 2 |
| Pages | 152-155 |
| Publication date | 2022-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational Researcher (JOURNAL) |
| Journal identifiers | ISSN: 0013-189X • E-ISSN: 1935-102X |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/0013189x211069399 |
| OpenAlex | W4206660847 |
| Language | EN |
| Citations received | 11 |
| References cited | 1 |
The term “hybrid” emerged as a common descriptor of pandemic-modified schooling configurations. Yet this umbrella term insufficiently captures the variations among hybrid models, particularly as it pertains to the structure of teacher workdays and related workload demands. Drawing on qualitative research documenting K–12 U.S. teachers’ experience teaching during COVID-19, this brief introduces and explicates three terms specifying structural hybrid models—parallel, alternating, and blended—and their implications for teachers’ work. Differentiating among the models facilitates future analysis of the implications of hybrid schooling for teacher and student experience. Initial analysis indicates teachers experienced one model, blended hybrid, as more challenging than others. This teacher perception highlights the need to discern among the three hybrid models more closely when analyzing schools’ responses to the pandemic. Differentiating among hybrid models may prompt future analysis of hybrid schooling for teacher workload and student learning
Coronavirus disease 2019 (COVID-19 · Hybrid learning · Mathematics education · Pandemic · Perception · Term (time · Work (physics · Workload · Computer Science · COVID-19 and Mental Health · Engineering · Medicine · Psychology
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |