Journal Article•
Designed-Based Research and Technology Enhanced Learning Environments
TL;DR: In this paper, design-based research has demonstrated its potential as a methodology suitable to both research and design of technology-enhanced learning environments (TELEs) and discuss future challenges of using this methodology.
Abstract: During the past decade, design-based research has demonstrated its potential as a methodology suitable to both research and design of technology-enhanced learning environments (TELEs). In this paper, we define and identify characteristics of design-based research, describe the importance of design-based research for the development of TELEs, propose principles for implementing design-based research with TELEs, and discuss future challenges of using this methodology. (http://www.springerlink.com/content/a582109091287128/)
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Journal Article•
TL;DR: In this paper, the authors describe how they, as teacher-researchers, have adopted a design-based research approach in two separate studies in order to examine learning in authentic contexts in their own work as higher education language teachers.
Abstract: Due to constant changes and developments of the 21st century societies and working life, the environments in which learning takes place have changed. Novel ways to research learning in those environments and to explore how learning could be supported with the learning design are needed in order to bring about changes in teaching practices. One of those ways could be design-based research (DBR), an iterative, interventionist and flexible research strategy, which would allow cycles of developing theory of learning as well as implementing design principles in practice. This article describes how we, as teacher-researchers, have adopted a design-based research approach in two separate studies in order to examine learning in authentic contexts in our own work as higher education language teachers. In the first stages of applying the strategy, we are exploring how our current designs work. The data for this exploration was collected from English for Academic Purposes courses in the form of videoed lessons, reflective diaries, interviews, questionnaires, course assignments and feedback to document the designs as well as the learning processes. Through this, we hope to shed light on the affordances that are central in terms of learners’ agency in shaping their own learning paths, and communicating their expertise through language on these example courses. This knowledge could then be utilized in developing an improved learning design. Despite the challenges of implementing this multifaceted approach, design-based research could have potential to provide new insights into learning and teaching and in that way also affect educational practices.
10 citations
01 Jan 2015
TL;DR: In this article, a game-based constructionist pedagogical model for literature education using tabletop role-playing game creation was developed for improving student literacy as a foundational skill to obtain success in all other subject areas.
Abstract: In today’s K-12 educational environment with the newly adopted Common Core State Standards (CCSS), improving student literacy as a foundational skill to obtain success in all other subject areas is one of the most important goals. Unfortunately, many literature curricula suffer from a lack of innovative pedagogy despite the introduction of various educational technologies meant to aid student learning. This study focuses on developing a new game-based constructionist pedagogical model for literature education using tabletop role-playing game creation. Using Shulman’s (1987) Pedagogical Content Knowledge (PCK) that eventually evolved into Mishra and Kohler’s (2006) Technological Pedagogical Content Knowledge (TPACK) as the main theoretical framework, this design-based research shows how tabletop role-playing game creation as a constructionist pedagogical strategy successfully helped high school students to receive the benefits of high-quality literature education.
10 citations
TL;DR: In this paper, a pedagogical model based on a new geometry technology-integrated learning environment, called Geometry 2.0, is proposed to encourage deeply mathematical tasks which encourage students' exploration, cooperation and communication.
Abstract: The information and communication technologies of Web 2.0 are arriving in our schools, allowing the design and implementation of new learning environments with great educational potential. This article proposes a pedagogical model based on a new geometry technology-integrated learning environment, called Geometry 2.0, which was tested with 39 sixth grade students from a public school in Madrid (Spain). The main goals of the study presented here were to describe an optimal role for the mathematics teacher within Geometry 2.0, and to analyse how dynamic mathematics and communication might affect young students’ learning of basic figural concepts in a real setting. The analyses offered in this article illustrate how our Geometry 2.0 model facilitates deeply mathematical tasks which encourage students’ exploration, cooperation and communication, improving their learning while fostering geometrical meanings.
10 citations
TL;DR: Some exploratory evidence is presented that suggests that the inclusion of a prescriptive model changes the nature of the regulation: it appears that students in the model condition spend much time on regulating the use of the KM model, while the regulation activities of the no-model students concerns the domain of KM itself.
Abstract: The main research question in this article concerns the added value of a prescriptive model in a simulation/gaming environment: KM Quest. KM Quest is meant to support students in the acquisition of both declarative and procedural knowledge in the domain of Knowledge Management (KM). The prescriptive model (KM model) embedded in the KM Quest environment describes the different steps that need to be taken while solving Knowledge Management problems. The main assumption is that because of the KM model, students more easily acquire knowledge about KM and that they need to use their metacognitive skills to a lesser extent since the KM model partly takes over regulation of learning in a new domain. These hypotheses are investigated in an experiment with two conditions: a no-model versus a model condition. The results of 46 students (23 in each condition) show that students in both conditions acquire declarative and procedural knowledge. Students in the model condition acquire more procedural knowledge and more KM model-specific procedural knowledge than students in the no-model condition. The model condition students also outperform the no-model condition students on a transfer test. However, students in the model condition spent much more time in the learning environment than the students in the no-model condition. Some exploratory evidence is presented that suggests that the inclusion of a prescriptive model changes the nature of the regulation: it appears that students in the model condition spend much time on regulating the use of the KM model, while the regulation activities of the no-model students concerns the domain of KM itself.
10 citations
References
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Book•
01 Jan 2002
TL;DR: In this paper, conceptual issues and themes on qualitative research and evaluaton methods including: qualitative data, triangulated inquiry, qualitative inquiry, constructivism, constructionism, complexity (chaos) theory, qualitative designs and data collection, fieldwork strategies, interviewing, tape-recording, ethical issues, analysis, interpretation and reporting, observations vs. perceived impacts and utilisation-focused evaluation reporting.
Abstract: This book explains clearly conceptual issues and themes on qualitative research and evaluaton methods including: qualitative data, triangulated inquiry, qualitative inquiry, constructivism, constructionism, Complexity (chaos) theory, qualitative designs and data collection, fieldwork strategies, interviewing, tape-recording, ethical issues, analysis, interpretation and reporting, observations vs. perceived impacts and utilisation-focused evaluation reporting.
13,768 citations
Book•
01 Jan 1990
TL;DR: In this paper, the authors present a brief history of educational change at the local and national level, and discuss the causes and problems of implementation and continuation of change at both the local level and the national level.
Abstract: Part I Understanding Educational Change 1. A Brief History of Educational Change 2. Sources of Educational Change 3. The Meaning of Educational Change 4. The Causes and Problems of Initiation 5. The Causes and Problems of Implementation and Continuation 6. Planning Doing and Coping with Change Part II Educational Change at the Local Level 7. The Teacher 8. The Principal 9. The Student 10. The District Administrator 11. The Consultant 12. The Parent and the Community Part III Educational Change at Regional and National Levels 13. Governments 14. Professional Preparation of Teachers 15. Professional Development of Educators 16. The Future of Educational Change
10,256 citations
TL;DR: The lion's share of my current research program is devoted to the study of learning in the blooming, buzzing confusion of inner-city classrooms, and central to the enterprise is that the classroom must function smoothly as a learning environment before the authors can study anything other than the myriad possible ways that things can go wrong.
Abstract: (1992) Design Experiments: Theoretical and Methodological Challenges in Creating Complex Interventions in Classroom Settings Journal of the Learning Sciences: Vol 2, No 2, pp 141-178
3,738 citations
Book•
01 Jan 1990
TL;DR: Whyte as discussed by the authors discusses the role of the social scientist in participatory action research in agricultural research and development in the context of agricultural data collection and data sharing in the field of agricultural research.
Abstract: Introduction - William Foote Whyte PAR IN INDUSTRY Participatory Action Research - William Foote Whyte, Davydd J Greenwood and Peter Lazes Through Practice to Science in Social Research Participatory Action Research - Larry A Pace and Dominick R Argona A View from Xerox Participatory Action Research - Anthony J Constanza A View from ACTWU Participatory Action Research - Jose Luis Gonzalez Santos A View from FAGOR Participatory Action Research and Action Science Compared - Chris Argyris and Donald Schon A Commentary Comparing PAR and Action Science - William Foote Whyte Research, Action and Participation - Richard E Walton and Michael Gaffney The Merchant Shipping Case Co-Generative Learning - Max Elden and Morton Levin Bringing Participation into Action Research Action Research as Method - Jan Irgen Karlsen Reflections from a Program for Developing Methods and Competence Participant Observer Research - Robert E Cole An Activist Role PAR IN AGRICULTURE Participatory Strategies in Agricultural Research and Development - William Foote Whyte A Joint Venture in Technology Transfer to Increase Adoption Rates - Ramiro Ortiz Participatory Action Research in Togo - Richard Maclure and Michael Bassey An Inquiry into Maize Storage Systems The Role of the Social Scientist in Participatory Action research - Sergio Ruano Social Scientists in International Agriculture Resarch - Douglas E Horton Ensuring Relevance and Conributing to the Knowledge Base Conclusions - William Foote Whyte
3,617 citations
TL;DR: Design experiments have both a pragmatic bent and a theoretical orientation as mentioned in this paper, developing domain-specific theories by systematically studying those forms of learning and the means of supporting them, and the authors clarify what is involved in preparing for and carrying out a design experiment, and conduct a retrospective analysis of the extensive, longitudinal data sets generated during an experiment.
Abstract: In this article, the authors first indicate the range of purposes and the variety of settings in which design experiments have been conducted and then delineate five crosscutting features that collectively differentiate design experiments from other methodologies. Design experiments have both a pragmatic bent—“engineering” particular forms of learning—and a theoretical orientation—developing domain-specific theories by systematically studying those forms of learning and the means of supporting them. The authors clarify what is involved in preparing for and carrying out a design experiment, and in conducting a retrospective analysis of the extensive, longitudinal data sets generated during an experiment. Logistical issues, issues of measure, the importance of working through the data systematically, and the need to be explicit about the criteria for making inferences are discussed.
3,121 citations