Teaching Instructional Design: An Apprenticeship Model

Several cognitive psychologists have written about the importance of placing instruction within “authentic” contexts that mirror real-life situations. They argue that knowledge learned in academic settings does not necessarily transfer to non-academic settings. Whether preparing performance technologists or instructional designers, educators must strive to create meaningful problem-solving contexts that enable students to define, and subsequently solve, real-world problems. In an attempt to address this issue we have modified the way we teach instructional design. This paper discusses a cognitive apprenticeship approach to teaching design, which incorporates elements of modeling, coaching, reflection, articulation, and exploration. We describe how these features are embedded within three phases (orientation, situated training/learning, and exploration) of an introductory instructional design course designed to move our novice designers along a continuum of expertise as they develop and refine their own professional design skills. Although the apprenticeship model described here specifically addresses concerns within the context of preparing instructional designers, we believe that this model can be adapted to address similar issues in the education of performance technologists.     

Structural Learning and Open Education

In this article, the author explores the "algebra for all" issue to raise awareness about the many facets of this dilemma facing educators at the middle and high school levels. She discusses both sides of this controversial issue, especially regarding its impact on students' futures relative to higher education and employment. The author concludes that unless dramatic reform occurs in the delivery of algebra so that all students benefit from such instruction, students must make the decision to take algebra based on individual needs, interests, and desires.     

Argumentation-Based Computer Supported Collaborative Learning (ABCSCL): A synthesis of 15 years of research

Learning to argue is an essential objective in education; and online environments have been found to support the sharing, constructing, and representing of arguments in multiple formats for what has been termed Argumentation-Based Computer Supported Collaborative Learning (ABCSCL). The purpose of this review is to give an overview of research in the field of ABCSCL and to synthesize the findings. For this review, 108 publications (89 empirical studies and 19 conceptual papers) on ABCSCL research dating from 1995 through 2011 were studied to highlight the foci of the past 15 years. Building on Biggs’ (2003) model, the ABCSCL publications were systematically categorized with respect to student prerequisites, learning environment, processes, and outcomes. Based on the quantitative and qualitative findings, this paper concludes that ABCSCL environments should be designed in a systematic way that takes the variety of specific conditions for learning into account. It also offers suggestions for educational practice and future research.     

College Students’ Conceptions of Stem Cells, Stem Cell Research, and Cloning

In this study, we examined 96 undergraduate non-science majors’ conceptions of stem cells, stem cell research, and cloning. This study was performed at a large, Midwest, research extensive university. Participants in the study were asked to answer 23 questions relating to stem cells, stem cell research, and cloning in an on-line assessment before and after instruction. Two goals of the instruction were to: (1) help students construct accurate scientific ideas, and (2) enhance their reasoning about socioscientific issues. The course structure included interactive lectures, case discussions, hands-on activities, and independent projects. Overall, students’ understandings of stem cells, stem cell research, and cloning increased from pre-test to post-test. For example, on the post-test, students gained knowledge concerning the age of an organism related to the type of stem cell it possesses. However, we found that some incorrect ideas that were evident on the pre-test persisted after instruction. For example, before and after instruction several students maintained the idea that stem cells can currently be used to produce organs.     

Individual differences in relative metacomprehension accuracy: variation within and across task manipulations

In recent decades, increasing numbers of studies have focused on metacomprehension accuracy, or readers’ ability to distinguish between texts comprehended more vs. less well. Following early findings that suggested readers are fairly poor at doing so, a number of studies have identified specific tasks to supplement a single reading of text that have resulted in greater metacomprehension accuracy. One assumption underlying these studies is that, in the absence of such tasks, metacomprehension accuracy is uniformly poor, and given their implementation, readers uniformly improve. Here we describe the individual variation that occurs both in the absence (e.g., within a single text reading manipulation) and presence (e.g., within a rereading or selective rereading task manipulation) of these supplementary tasks (N = 214), in order to make a case for greater attention to individual differences in metacomprehension accuracy. We also introduce a new manipulation in metacomprehension research, selective rereading, and argue that certain types of tasks may be more likely to reveal individual differences in metacomprehension accuracy due to the nature of the task being more or less demanding on working memory capacity.