Education Commons^™

Preservice Teachers As Document Detectives, Lorna Quinnell, Radha Iyer, Bronwyn Ewing

Australian Journal of Teacher Education

Literacy today relies on a readers’ ability to analyse text critically. This case study investigated preservice teachers’ critical analysis of media text containing visuals and representations. In particular, the analysis focused on mathematical factors that impact on readers’ interpretation of diverse visuals.

Data was gathered from the 23 preservice teachers, enrolled in the Graduate Diploma program at one Australian university. They participated in a series of mathematics learning sessions focused on the critical analysis of a selection of media items.

The paper argues that the ability to critically analyse graphs and visuals relies on mathematical knowledge and that the ability …

Random Number Simulations Reveal How Random Noise Affects The Measurements And Graphical Portrayals Of Self-Assessed Competency, Edward Nuhfer, Christopher Cogan, Steven Fleisher, Eric Gaze, Karl Wirth

Numeracy

Self-assessment measures of competency are blends of an authentic self-assessment signal that researchers seek to measure and random disorder or "noise" that accompanies that signal. In this study, we use random number simulations to explore how random noise affects critical aspects of self-assessment investigations: reliability, correlation, critical sample size, and the graphical representations of self-assessment data. We show that graphical conventions common in the self-assessment literature introduce artifacts that invite misinterpretation. Troublesome conventions include: (y minus x) vs. (x) scatterplots; (y minus x) vs. (x) column graphs aggregated as quantiles; line …

Using Visual Graphs Derived From K-12 Student Affinities And Interests For Daily Or Weekly Progress Monitoring, Martha G. Michael Ph.D.

Electronic Journal for Inclusive Education

The Intervention Specialist licensure program at Capital University requires teacher education candidates to take a course in diagnostic teaching of students with mild to moderate learning needs. In this course each semester, the candidate must develop an instructional plan, 5 lessons, and a long range IEP from both formal assessment and informal assessments. Additionally, during the course of the tutoring, they must co-create with their tutee, a visual graph using the tutee’s affinities or interests. These graphs must be used to visually track tutees progress by having the tutee place sticker, color or chart their progress.