Janet L. Kolodner

ORCID: 0000-0003-3858-4470
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About
Contact & Profiles
Research Areas
  • Innovative Teaching and Learning Methods
  • AI-based Problem Solving and Planning
  • Design Education and Practice
  • Problem and Project Based Learning
  • Intelligent Tutoring Systems and Adaptive Learning
  • Education and Critical Thinking Development
  • Teaching and Learning Programming
  • Science Education and Pedagogy
  • Biomedical and Engineering Education
  • Educational Games and Gamification
  • Semantic Web and Ontologies
  • Cognitive Science and Mapping
  • Online and Blended Learning
  • Software Engineering Techniques and Practices
  • Online Learning and Analytics
  • Creativity in Education and Neuroscience
  • Educational Tools and Methods
  • BIM and Construction Integration
  • Educational Assessment and Pedagogy
  • Complex Systems and Decision Making
  • Innovative Education and Learning Practices
  • Memory Processes and Influences
  • Model-Driven Software Engineering Techniques
  • Software Engineering Research
  • Open Education and E-Learning

Georgia Institute of Technology
2007-2023

Boston College
2019-2023

University of California, Berkeley
2019

Concord Consortium
2015-2017

University of Illinois System
2016

Northern Illinois University
2016

University of Oklahoma
2016

University of Wisconsin–Madison
2007

Spectral Energies (United States)
2004

Pennsylvania State University
2002

10.1007/bf00155578 article EN Artificial Intelligence Review 1992-01-01

This article tells the story of design Learning by Design(tm) (LBD), a project-based inquiry approach to science learning with roots in case-based reasoning and problem-based learning, pointing out theoretical contributions both, classroom issues that arose upon piloting first attempt, ways we addressed those challenges, lessons learned about promoting taking approach, theory-based designing environments. LBD uses what know cognition fashion environment appropriate deeply concepts skills...

10.1207/s15327809jls1204_2 article EN Journal of the Learning Sciences 2003-10-01

Abstract Complex systems are commonly found in natural and physical science. Understanding such is often difficult because they may be viewed from multiple perspectives their analysis conflict with or extend beyond the range of everyday experience. There many complex structural, behavioral, functional relations to understand as well. Design activities, which allow explorations how work, can an excellent way help children acquire a deeper, more systemic understanding domains. We report on...

10.1207/s15327809jls0903_2 article EN Journal of the Learning Sciences 2000-07-01

Abstract : People effortlessly recall past events and episodes in their lives many times the course of a normal day. A reasonable goal design computer programs is to construct memory with that same capability. To facilitate human-like retrieval from memory, we must first specify organization. We then updating processes build up access information. This thesis will present such theory, describe program called CYRUS which implements theory. (Computerized Yale Retrieval Updating System) stores...

10.2307/1422458 article EN The American Journal of Psychology 1985-01-01

As new unanticipated items are added to a memory, it must be able reorganize itself, integrating the into its structure. The reorganization process maintain memory's structure and also build up knowledge retrieval strategies need search that This study will present an algorithm for knowledge‐based memory reorganization. Included in processes directed generalization refinement. A fact system called CYRUS which uses is presented. Conclusions drawn about maintaining accessibility conceptual...

10.1207/s15516709cog0704_1 article EN Cognitive Science 1983-10-01

This study presents a process model of very long‐term episodic memory. The presented is reconstructive process. involves application three kinds strategies—component‐to‐context instantiation strategies, component‐instantiation and context‐to‐context strategies. first used to direct search appropriate conceptual categories in other two are within the chosen category. A fourth type strategy, called executive guide for concepts related one targeted retrieval. memory organization implied by...

10.1207/s15516709cog0704_2 article EN Cognitive Science 1983-10-01

We present a consensus-based checklist to improve and document the transparency of research reports in social behavioural research. An accompanying online application allows users complete form generate report that they can submit with their manuscript or post public repository.

10.1038/s41562-019-0772-6 article EN cc-by Nature Human Behaviour 2019-12-02

Case-based reasoning provides both a methodology for building systems and cognitive model of people. It is consistent with much that psychologists have observed in the natural problem solving people do. Psychologists also observed, however, several problems doing analogical or case-based reasoning. Although they are good at using analogs to solve new problems, not always remembering right ones. However, computers remembering. I present decision aiding as which machines work together...

10.1609/aimag.v12i2.895 article EN AI Magazine 1991-04-01

In this article, we present two studies that helped us understand the kinds of support students need to learn science successfully from design activities. Both were enacted in context an approach learning called by (LBD). our first study, designed and integrated a paper-and-pencil scaffolding tool, diary, into LBD unit students' design-related We learned important lessons study. First, refined understanding processes involved designing ways might those students. Second, more important,...

10.1002/tea.20048 article EN Journal of Research in Science Teaching 2005-01-01

Case-based reasoning (CBR) focuses on analogy in the context of solving real-world problems. Its research methodology computational modeling is aimed at deriving hypotheses about cognition. CBR's models show roles encoding, retrieval, and adaptation analogical processes. In addition, its algorithms provide insight into what it might take to enhance human CBR as a plausible cognitive model can thus advise educational philosophy, practice, design software.

10.1037//0003-066x.52.1.57 article EN American Psychologist 1997-01-01

10.1016/s0020-7373(83)80068-6 article EN International Journal of Man-Machine Studies 1983-11-01

Case‐based reasoning is a method that capitalizes on previous experience. In case‐based reasoning, new problem solved in way analogous to similar problem. can improve problem‐solving behavior several ways: by providing shortcuts, warning of the potential for error, and suggesting focus reasoning. The MEDIATOR was one earliest case‐based, programs. Its domain dispute resolution, it uses 10 different tasks involved its solving. While some MEDIATOR's processes have been elaborated improved...

10.1207/s15516709cog1304_2 article EN Cognitive Science 1989-10-01

This article focuses on contributions that AI can make to address long‐term educational goals. Challenges are described support: (1) mentors for every learner; (2) learning 21st century skills; (3) interaction data learning; (4) universal access global classrooms; and (5) lifelong lifewide learning. A vision brief research agenda each challenge along with goals lead development of resources the reuse sharing digital resources. Instructional systems technology currently support richer...

10.1609/aimag.v34i4.2490 article EN AI Magazine 2013-12-01

A case in case-based reasoning is a contextualized piece of experience, which can be represented various forms. Traditional approaches classified into three main categories: feature vector representations , structured and textual . More sophisticated make use hierarchical or generalized cases. For particular tasks such as design planning highly specific have been developed.

10.1017/s0269888906000555 article EN The Knowledge Engineering Review 2005-09-01

Current theories and models of education often argue that instruction is best administered when knowledge situated within a context. Problem-based learning (PBL) provides an approach to has particularly powerful affordances for disciplinary content practices by solving authentic problems discipline. However, not all implementations PBL have been equally successful at fostering such learning, some this form beyond the capabilities novices. We revisit theoretical foundations call on case-based...

10.7771/1541-5015.1608 article EN cc-by-nc-nd Interdisciplinary Journal of Problem-based Learning 2016-05-06

Article Integrating and guiding collaboration: lessons learned in computer-supported collaborative learning research at Georgia Tech Share on Authors: Mark Guzdial EduTech Institute, College of Computing Institute Technology, Atlanta, GA GAView Profile , Cindy Hmelo Learning Research Development, Center University Pittsburgh PittsburghView Roland Hübscher Kris Nagel Wendy Newstetter Sadhana Puntambekar Amnon Shabo Jennifer Turns for Human-Machine Systems Research, School Industrial...

10.3115/1599773.1599784 article EN 1997-01-01
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