+ Form of Professional Development is not important.
+ Positive effect on teacher outcomes is written across various research findings.
+ Face to Face vs Online Course: Positive increase in 3 outcomes; pedagogical believes, teacher practices, and mathematical understanding.
+ Self-Paced vs Cohort-Based Online Courses: saw similar increases in outcomes.
+ Interesting finding: Students from Face to Face course unlikely to take an online equivalent. And those from the online course didn't want to go back to face to face.
+ Teacher Perceptions of Professional Development was generally positive and as a much needed part of education.
+ Effects of Professional Development indicated an increase in technology skills, computer self-efficacy, and technology integration. It also showed in increase in the 3 outcomes previously stated.
+ Question worth asking is do these findings transcend to even more styles of professional development and still manage to have the same outcomes?
Sources:
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Dan Tapscott (2009) writes, “Baby boomers set a precedent of being a major generational threat to their elders... they had time to develop their own youth culture... [and] a new medium through which to communicate their culture -- television.”
Discovering which methods of introduction/professional development are available and realistic to provide a teaching staff.
As schools look to find new, fresh ways to engage students at all level, this research looks to find fine-tuned results which could be adapted across multiple disciplines.
Random assignment to:
Compile previous three years of grades before and up through subject of "sine and cosine laws." Take pre-survey.
Teach topic for two weeks. Proctor identical exam from previous year. Take post-survey.
Our main research questions:
Does training a teacher on a new technology application lead to better results in the classroom? Which method of technology introduction and training worked best?
One-way ANOVA, instead of t-tests, as there are different subjects in each treatment group and to try to limit rejecting a null hypothesis when it is true (Type I error) by comparing all results simultaneously.
Additional research data from survey questions and results.