DTTP Teacher Technology Survey for SUIS
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Academic work at the University of Maryland University College (UMUC)
As technology advances, so does educational technology tools. Each passing year comes with a multiplicity of web 2.0 tools for education. Given the huge number of tools out there (each being best for a specific purpose), choosing a tool that best meets the needs of the teacher and matches with the subject area and grade …
A common belief in the education world is that students learn better with a hands-on, practical, and experiential setting. EDTC6115 has been a practical testament of this belief. The beginning of the course was a little scary, mostly because most of us had not worked with big data before and we had not experienced real-life …
At the conclusion of the data action model, it only seemed rational to briefly revisit the essential elements of the process. This to me was an important goal for data meeting #5–evaluating effectiveness and deciding on the next course of action. Venables (2014, p.83) suggests that for data meeting #5 the team members “evaluate the …
After having completed data meeting #3, we had had much more confidence in our PLC and believed that we will be able to meet the goal of the PLC as well as the SMART learning goals set during Data Meeting #3. Before conducting Data Meeting #4, we took some time to carefully plan for our …
In the world of education, PLN stands for a personal learning network; some may also refer it to a professional learning network. This is a personalized network of educators and education resources that one develops for personal learning and professional development. There are so many advantages to building a PLN as can be easily visualized …
When I began this course and was informed that we will be using data in teams to make instructional decisions, there were many things I was skeptical about: I wasn’t sure it would be possible to make any worthwhile decision by studying student data; I wasn’t sure a randomly assigned team would be able to …
Data meeting #2 aimed principally at triangulating the data. At first, I thought, triangulation?, How can we triangulate data that was not from authentic research? Impossible! Boy, was I wrong! Our team began this data meeting by doing a lot of work in reorganizing and refining our work for the course. After uploading additional artifacts, …
This was the first time I ever took part in a PLC to analyze data and I was, at first, afraid I wouldn’t bee able to successfully go through it or even make a positive contribution to the meeting. We began by making plans as to who will facilitate which data meeting. Because of the …