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Toward a Learning Technologies knowledge network 总被引：3，自引：0，他引：3
Roy D. Pea Robert Tinker Marcia Linn Barbara Means John Bransford Jeremy Roschelle Sherry Hsi Sean Brophy Nancy Songer 《Educational technology research and development : ETR & D》1999,47(2):19-38
The National Science Foundation-funded Center for Innovative Learning Technologies (CILT) is designed to be a national resource
for stimulating research and development of technology-enabled solutions to critical problems in K-14 science, math, engineering
and technology learning. The Center, launched at the end of 1997, is organized around four themes identified as areas where
research is likely to result in major gains in teaching and learning, and sponsors research across disciplines and institutions
in its four theme areas. CILT brings together experts in the fields of cognitive science, educational technologies, computer
science, subject matter learning, and engineering. It engages business through an Industry Alliance Program and is also training
postdoctoral students. CILT's founding organizations are SRI International's Center for Technology in Learning, University
of California at Berkeley (School of Education and Department of Computer Science), Vanderbilt University's Learning Technology
Center, and the Concord Consortium. Through its programs, CILT seeks to reach beyond these organizations to create a web of
organizations, individuals, industries, schools, foundations, government agencies, and labs, that is devoted to the production,
sharing and use of new knowledge about how learning technologies can dramatically improve the processes and outcomes of learning
and teaching. This paper describes the rationale and operations of the Center, and first-year progress in defining a set of
CILT partnership projects with many other institutions that came out of our national theme-team workshops.
Roy Pea, of SRI International, is Director of CILT.
Marcia Linn (U. California, Berkeley), John Bransford (Vanderbilt University), Barbara Means (SRI International), and Robert
Tinker (Concord Consortium), serve as CILT's coprincipal investigators.
Sherry Hsi (Ubiquitous Computing) and Sean Brophy (Technology and Assessment Models) are among the first group of CILT Postdoctoral
Fellows.
Jeremy Roschelle (SRI International) and Nancy Songer (University of Michigan) are CILT theme-team leaders.
Roy Pea and Marcia Linn would like to thank the Spencer Foundation for support during their year at the Center for Advanced
Study in the Behavioral Sciences, Stanford University, in which they developed the CILT concept with the other authors. CILT
is funded by National Science Foundation grant #CDA-9720384. Pea and Linn would also like to acknowledge contributions to
this article by the many authors of CILT partnership project proposals, and by theme-team leaders.
The authors thankfully acknowledge Donna Baranski-Walker for her many contributions to developing the CILT Industrial Alliance
Program while serving as its Director in 1998. 相似文献
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This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly constrain student agency in their production. We use our “Data Production” framework to analyze activity of and interviews with high school students who created data using sensors and software in a ninth-grade integrated science class. To understand the opportunities for students to develop act with and perceive agency in data production, we analyze in detail the case of one student as she came to use unfamiliar technologies to produce data for her own personally relevant purposes. We find that her purposes for producing data emerged as she worked, and that resistances to her purposes were opportunities to act with and perceive her own agency, and to see data in new ways. We discuss implications for designing science learning experiences in which students act as agents in producing and using data. 相似文献
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Hsi‐Peng Lu Ming‐Jen Chiou 《British journal of educational technology : journal of the Council for Educational Technology》2010,41(2):307-323
This study investigated the impact of contingent variables on the relationship between four predictors and students' satisfaction with e‐learning. Five hundred and twenty‐two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and satisfaction with e‐learning systems. The results of analysis of variance and structural equation modelling analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students' satisfaction with the e‐learning system. This study also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e‐learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e‐learning system satisfaction. The implications of these results for the management of e‐learning systems are discussed. 相似文献
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With the growing trend in population aging, declining birthrates, and changing patterns in living arrangements, aging in place has become a primary choice for elderly people after retirement (Hooyman & Kiyak, 2010). Home care service has become a key aspect of successful aging so that recent studies started to examine how to serve the dailyneeds for the elderly by adopting new home care services, in particular technology-enabled services for better living. This study applied Maslow’s theory to conduct an in-depth assessment on elders need and examine the factors that influence their satisfaction.Based on the concept of the social change process model (Glofia 1983), the “social awareness” on seeking external (societal) help to solve the problem was proposed and tested on its moderating effects in satisfying elder’s needs. The results from the empirical testing reveal that that elderly people rely on assistance from others and home-care service providers mediating the service to satisfaction when they are in less favorable health and economic conditions. 相似文献
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Electronic discussion tools can have several advantages over classroom discussion to support productive learning conversations in science. This paper describes how an electronic collaborative discussion tool called the Multimedia Forum Kiosk (MFK) enabled equitable learning opportunities in scientific discourse: generating explanations, revising ideas of others, and asking questions. Studies compared gender differences in participation between class discussion and MFK discussion, as well as examined three different formats for electronic discussion: anonymous, attributed, and attributed with authority participation. Results indicate that in all discussions, 78% of the students contributed in electronic discussion compared to only 15.3% participation in class discussion. Females participated more than males in electronic discussion, and less than males in classroom discussion. Girls report feeling less stifled when participating in an electronic medium where anonymity is an option. All electronic discussions were characterized by high levels of scientific conceptual content, elaborations, and question-asking. Students generated a repertoire of models for phenomena, asked content-focusing questions, and provided causal explanations using MFK. Implications for future research and design of electronic discussion tools are discussed. 相似文献
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Journal of Science Education and Technology - How can effective research conducted in a specific context contribute to more effective teaching and learning in a different context? This paper... 相似文献
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We have developed the Knowledge Integration Environment (KIE) to promote lifelong learning. We believe that science courses can promote lifelong learning by offering students science models that apply to problems they encounter in their everyday lives and by engaging students in personally relevant science projects where they connect science models to typical science resources such as those found on the Internet. Our instructional framework, Scaffolded Knowledge Integration (SKI), guides the design of the Knowledge Integration Environment. In this paper we describe the Knowledge Integration Environment and report results of “design experiments” carried out to guide improvement of Knowledge Integration Environment instruction as well as to help us improve our understanding of lifelong learning. 相似文献
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