Group items tagged

Just published. I really liked this section: "Rather than data-driven-decision making, it seems to me we need a culture of decision-driven data collection-the data are collected only after a clear theory of how they are to be used has been developed, to be certain that they will be usable. The argument I am making here is that for instructional guidance, teachers simply do not need or find useful (and certainly do not want to wait, or to pay, for) the precision that the educational measurement community is used to providing. All this may seem like a counsel of despair, so perhaps it is appropriate to conclude these reflections by saying that I am actually very positive about the role that assessment can have in improving schooling. First, as Haertel points out, often the unit of action is the instructional group rather than the individual student. For this reason, Caroline Wylie and I have been exploring the use of single items that can be embedded in instructional episodes (Wiliam, 2011; Wylie & Wiliam, 2006, 2007). The response of one student to one item is not particularly meaningful, but the response of a class of 30 students to a single item does give the teacher useful information about whether to move on, or to review an instructional episode."

Article based on an interview with one of the authors of a new study about the importance of teachers' understanding student misconceptions. [The full paper is available here if you have access to the journal http://aer.sagepub.com/content/early/2013/03/06/0002831213477680.full.pdf+html] Excerpt from the paper:"An intriguing finding of this study is that teachers who know their stu- dents' most common misconceptions are more effective than teachers who do not. This particular component of PCK may allow teachers to construct experiences, demonstrations, experiments, or discussions that make students commit to and then test their own ideas. A teacher knowing only the scientific ''truth'' appears to have limited effectiveness. It is better if a teacher also has a model of how students tend to learn a particular concept, particularly if there is a common belief that may make acceptance of the scientific view or model difficult. This finding, too, has practical implications. In PD programs, an emphasis on increasing teachers' SMK without sufficient attention to the preconceived mental models of middle school students (as well as those of the teachers) may be ineffective in ultimately improving their students' physical science knowledge."

[48 p PDF], and worth looking at thoroughtly. Excerpt: "The statistical model found that measures of student effort trump all other variables tested for their relationships to student success, including demographic descriptions of the students, course subject matter and student use of support services. The clearest predictor of passing a course is the number of problem sets a student submitted. The relationship between completion of problem sets and success is not linear; rather the positive effect increases dramatically after a certain baseline of effort has been made. Video Time, another measure of effort, was also found to have a strong positive relationship with passing, particularly for Stat 95 students."

4 page PDF from a Stanford group including the venerable Roy Pea. Might be relevant to several aspects of our project. Focuses on the question "How can we make a MOOC work for as many of its diverse participants as possible?". Argues for the use of A/B testing to inform MOOC design. Silent on adaptive learning. Still pretty tentative, though.