The Department of Education's (ED) Office of Educational Technology today released a draft issue brief - Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics - representing the results of a months-long discourse among 8 academic and 15 industrial data mining and learning analytics experts conducted by SRI International. The brief, inspired by ED's 2010 National Educational Technology Plan (NETP), articulates the challenges and opportunities of Big Data in improving student outcomes and overall productivity of K-2 education systems. It focuses on three key research areas - educational data mining, learning analytics, and visual data analytics - and offers a set of corresponding recommendations, categorized by various stakeholders. ED is now seeking public comment on the draft.
"The Technology Integration Matrix (TIM) illustrates how teachers can use technology to enhance learning for K-12 students. The TIM incorporates five interdependent characteristics of meaningful learning environments: active, collaborative, constructive, authentic, and goal directed (Jonassen, Howland, Moore, & Marra, 2003). The TIM associates five levels of technology integration (i.e., entry, adoption, adaptation, infusion, and transformation) with each of the five characteristics of meaningful learning environments. Together, the five levels of technology integration and the five characteristics of meaningful learning environments create a matrix of 25 cells."
Described at school level but a handy model. Perhaps we could adapt.
"This e-Learning literature review examined texts across a range of countries, but within a relatively short time frame of the preceding five years. A range of criteria were used to select or eliminate studies for closer review (see Methodology and Methods section). Some key terms are defined for the purpose of this review: outcomes, e-Learning, tools, affordances, Web 2.0."