Group items tagged

For example, Mel Riddile points out that when one conditions on various measures of poverty, instead of trailing other nations, the U.S. actually comes out on top! He concludes that "when it comes to school improvement, it's poverty not stupid." Poverty causes educational deficiency. Now, I like to actually have data to play around with, in part because people have been known to lie about politically charged issues and in part because I like to have nice graphs (which are not provided by Riddile). Anyway, it turns out that international poverty data is pretty hard to come by and fraught with interpretational difficulties. On the other hand, the National Assessment of Educational Progress provides test data for most of the states in the U.S., and the U.S. Census Bureau provides data on the percentage of people in poverty by state. I took the NAEP data for 8th grade science achievement and regressed on the percentage of people below the poverty line for the measured states. The two are negatively associated: as poverty increases, science achievement scores decrease according to the relationship in the plot below. (Alaska, Kansas, Nebraska, and Vermont did not meet NAEP reporting guidelines and are not included in the plot above.) The association is highly significant (p=9.98*10-6). I also took pilot NAEP data for 8th grade mathematics achievement and regressed on the percentage of people below the poverty line for the measured states. (Evidently, the NAEP has only just started testing for mathematics achievement, and only eleven states were included in their pilot.) Again, the two are negatively associated. The slope of the relation turns out to be almost exactly the same as for science achievement. The association is not as significant, but it is still significant (p=0.0186). (My guess is the association is less significant in this case because fewer states were measured.) Clearly there is an association between poverty and achievement in science and mathem

Gardner upholds MI theory and its positive educational applications by citing research results. He also argues that psychometric tests are not designed to measure MI and he points to contextually based intelligence measurement instruments that do measure MI.

great self-quiz on angle radian measure---MUST USE!

This site describes the parameters of the EI test designed to measure the four branches of the EI model of Mayer and Salovey

Development of the PRO-SDLS: A Measure of Self-Direction in Learning Based on the Personal Responsibility Orientation Model. The purpose of this study was to develop a reliable and valid instrument to measure self-directedness in learning among college students based on an operationalization of the personal responsibility orientation (PRO) model of self-direction in learning. The resultant 25-item Personal Responsibility Orientation to Self-Direction in Learning Scale (PRO-SDLS) was found to be a highly reliable instrument in the selected sample of graduate and undergraduate education students. Confirmatory factor analysis established that a four latent variable model fit the data. Scores from the PRO-SDLS were significantly related to criterion variables thought to demonstrate self-direction and to a known instrument of self-direction while accounting for additional variance. Recommendations for further research in the ongoing process of scale validation and implications for practice are provided

research on self-regulated learning and MOOCs

This article also addresses the relationships between each of the presences and proposes an additional presence- Learner Presence.

New forms of student assessment are designed to demonstrate what students are learning and what they can do with their knowledge. Known variously as "alternative" or "more authentic" measures, these assessments require students to "perform" in some way--by writing, demonstrating, explaining, or constructing a project or experiment--so they are also called "performance-based" tests.

While this paper set out to discover what activities and/or interaction channels might be expected to lead to more highly engaged students, what it found was a bit different. After first creating a scale to measure online student engagement, and then surveying 186 students from six campuses in the Midwest, the results indicate that there is no particular activity that will automatically help students to be more engaged in online classes. However, the results also suggest that multiple communication channels may be related to higher engagement and that student-student and instructor-student communication are clearly strongly correlated with higher student engagement with the course, in general. Thus, advice for online instructors is still to use active learning but to be sure to incorporate meaningful and multiple ways of interacting with students and encouraging/requiring students to interact with each other. (Contains 4 tables.)

"The concept of school engagement has attracted increasing attention as representing a possible antidote to declining academic motivation and achievement. Engagement is presumed to be malleable, responsive to contextual features, and amenable to environmental change. Researchers describe behavioral, emotional, and cognitive engagement and recommend studying engagement as a multifaceted construct. This article reviews definitions, measures, precursors, and outcomes of engagement; discusses limitations in the existing research; and suggests improvements. The authors conclude that, although much has been learned, the potential contribution of the concept of school engagement to research on student experience has yet to be realized. They call for richer characterizations of how students behave, feel, and think-research that could aid in the development of finely tuned interventions "

With more than 4 million students enrolled in online courses in the US alone (Allen & Seaman, 2010), it is now time to inquire into the nature of instructional effort in online environments. Reflecting the community of inquiry (CoI) framework (Garrison, Anderson, & Archer, 2000) this paper addresses the following questions: How has instructor teaching presence (Anderson, Rourke, Garrison, & Archer, 2001) traditionally been viewed by researchers? What does productive instructor effort look like in an entire course, not just the main threaded discussion? Results suggest that conventional research approaches, based on quantitative content analysis, fail to account for the majority of teaching presence behaviors and thus may significantly under represent productive online instructional effort.

teacher experience, content knowlege

This study investigates the counter-intuitive observation that older students tend to thrive better than younger students in online classes. We use a variety of measures to compare performance and attitudes of undergraduates and continuing adult professionals in separate but nearly identical class sections led by the same instructor at a US university during the same nine-month study period. Findings are consistent with theoretical predictions about differences in readiness of younger and older adults for elf-directed learning experiences. Results also suggest that online educators should be proactive in stimulating younger students' participation in class discussions, and should find ways to evaluate explicitly the tacit learning that online discussion can foster.

"normal attention span is 3 to 5 minutes per year of a child's age. Therefore, a 2-year-old should be able to concentrate on a particular task for at least 6 minutes, and a child entering kindergarten should be able to concentrate for at least 15 minutes. (Note: A child's attention span while watching TV is not an accurate measure of his or her attention span.)"

"Table 2 Community)of)Inquiry)Categories"