Jihie Kim's Home Page
E-mail: jihie DOT kim AT gmail.com
Please goto my new site.
I am the Principal Investigator of the Pedagogical Technologies
(PedTek) group in the USC
Information Sciences Institute (ISI).
I am also a Research Assistant Professor in the
Computer Science Department
at the University of Southern California
I received my Ph.D. in Computer
Science from University of Southern California.
I received Masters and Bachelor's degrees in
Computer Science and Statistics
from the Seoul National
organizing the 2nd workshop on Intelligent Support for
Learning in Groups at AI in
Education Conference (AIED 2013).
Recent Papers on Social Dialogue and Collaboration
Current research focuses on Social Dialogue and Collaboration. Research areas covered include online discourse analysis, forum and wiki mining,
mixed-initiative interfaces, workflow systems, and interactive knowledge capture.
This paper describes instructional tools that help students and instructors use
discussion boards more effectively, with an emphasis on automatically
assessing discussion activities, and promoting student
discussion participation and interaction by connecting information
seekers to information providers.
This paper describes a novel topic modeling approach where we induce topic
categories from a canonical text of the given domain and use it to develop
discussion topic classifiers with little training data.
This paper describes typical emotion acts (EAs) that exhibit in student online
discussions and illustrates how emotion acts can be used in assessing and predicting student discussion outcome.
This paper presents a new assessment framework for e-learning where we
facilitate robust assessment of student learning through workflow framework.
This paper presents a new knowledge acquistion dialogue framework where the
system incorporates instructional strategies that good learners take in proactively reasoning
about knowledge acquisition tasks and dynamically presenting suggestions. It
provides a good example of how we can bring research results from teaching and learning back to AI research.
The following describes my work in individual areas.
Online Forum/Wiki mining and Collaboration analysis:
Semantic Approaches to Workflows:
- Wings (Workflow INstance Generation and Selection). We present an approach
to workflow creation and validation that uses semantic representations to
describe complex scientific applications in a data-independent manner, then
automatically generates workflows of computations for given data sets, and
finally maps them to available computing resources. We have used this to
create workflows of thousands of computations, which are submitted to the
Pegasus mapping system for execution over grid computing environments. See
more details in this
paper (IEEE Intelligent Systems article, 2011) and this
paper (CCPE article, 2008).
(Composition Analysis Tool).
CAT facilitates interactive construction of workflows (computation pathways)
where users select and connect existing workflow components, and the system
interactively gernerates assistance in completing a correctly formulated
See more details in
paper(IUI 2004) and this site.
Interactive Knowledge Capture:
(Skills for Learning to Interactively Capture Knowledge).
Developing acquisition interfaces that are proactive
learners, able to reason about learning activities and with initiative in
participating in the process accordingly.
See more details in this
article (IJHCS 2007),
paper(AIEd 2003) and these sites:
A Tool for checking process models entered by users. By
relating different pieces of information in process models among themselves
and to the existing KB, it performs a variety of verification and validation
checks and propose useful fixes.
See more details in
(IJCAI 2001) and
- EMeD(Expect Method
Developer). A tool to guide knowledge base creation based on interdependency
analysis. See more details in
paper(AAAI 1999) and
- KA (Knowledge Acquisition) Evaluation Methodology.
See more details in this
paper (JETAI article 2001).
Knowledge-Based Approach for Component Modeling:
- Active Catalogs
that provides on-line catalogs augmented by behavioral models and
their consumption environment, significantly enhancing the engineering and
design support that is desirable but beyond the reach of current engineering
environments. See more details in this
paper (AI EDAM article 2004).
Utility Problem in Soar (Expensive Chunks).
My dissertation research centers on application of machine learning techniques
to speed up problem solving. Many learning systems suffer from the utility
problem; that is, that time after learning is greater than time before
learning. Discovering how to assure that learned knowledge will in fact speed
up system performance has been a focus of research in explanation-based
learning (EBL). One way of finding a solution which can guarantee such cost
boundness is to analyze all the sources of cost increase in the learning
process and then eliminate these sources. I began on this task by decomposing
the learning process into a sequence of transformations that go from a problem
solving episode, through a sequence of intermediate problem solving/rule
hybrids, to a learned rule. This transformational analysis itself is
important to understand the characteristics of the learning system, including
cost changes through learning. Such an analysis has been performed for Soar (a
problem solving system with a variant of EBL). By analyzing these
transformations, I have identified a set of sources which can make the output
rule expensive. Also, I have implemented modifications of the learning system
based on the analysis. The work is summarized in this
paper (AI Journal article)
As a graduate student, I also worked on:
Measuring the Impact of 0nline Discourse in Undergraduate STEM Courses:
Semi-automatic Assessment of Large Discussion Board Corpora
Principal Investigator. National Science Foundation, REESE
Program [Award #1008747]
Studying effectiveness of communication as a means for measuring
student learning and the further development of novel metrics based on NLP and
machine learning techniques.
Creative Secondary STEM Learning Through Collaborative Game Building
Principal Investigator. National Science Foundation, Creative IT
Program [Award #1002901]
Developing and evaluating school curriculum for learning standards-based content via game making. The project addresses the educational needs of at-risk high school students in underperforming schools in the Los Angeles Unified School District (LAUSD).
Mining and Supporting Teacher Social Networking: Intelligent Recommendation of NSDL Resources to
support Middle School Teacher Collaboration
Principal Investigator. National Science Foundation, NSDL
Realizing the goal of self educating teacher communities by
providing intelligent recommendation services that will find the best connections between
mentors and mentees, and find the most relevant NSDL resources and forums that meet the
needs of individual teachers. Such recommendation systems will greatly enhance the usability
and usefulness of the current educational social networks.
- PedWiki: Instructional Assessment of Wiki Use in Engineering Courses through
Discourse Analysis and Topic Classification
National Science Foundation, The Course Curriculum and Laboratory Improvement
Program (CCLI) program [Award #0941950].
The project focuses on three inter-related ways in which Wiki use can be exploited for education. We propose to do the following: 1. Develop and study new and ongoing Wiki-based engineering projects, and compare their adoption to Wiki projects in non-engineering courses. 2. Create instructional (pedagogical) assessment tools based on discourse analysis and course topic ontology for qualitatively evaluating student Wiki use. 3. Identify scaffolding opportunities such as automated recommender interfaces to promote student engagement and collaboration.
- PedWorkflow: Workflows for assessing
Investigator. National Science Foundation, CISE Information and
Intelligent Systems (IIS) program [Award
Developing a workflow environment that supports efficient assessment of student learning through interactive generation and execution of various assessment workflows.
- PedDiscourse: Scaffolding
pedagogical discourse in engineering courses.
Principal Investigator. National Science Foundation, The Course Curriculum and Laboratory Improvement
(CCLI) phase II program [Award
Assessing student activities in threaded on-line
discussions and providing answers to student queries. The goal of the project is to design, deploy and evaluate software tools that automatically structure and scaffold undergraduate student interactions within online discussion boards.
Computer Science Department and Information Sciences Institute
University of Southern California
4676 Admiralty Way
Marina del Rey, CA 90292