• Journal of The Korean Association of Information Education
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• v.13 no.3
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• pp.313-323
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• 2009

The objective of this paper is an implementation of analysing and predicting functions to promote self-directed learning for student's performance assessment system in programming subjects. By adapting Rubric model, the proposed functions inform a student of the assessment criteria and level to be carried out with respects to two-way specifications such as rational ability, problem solving ability and creativity. The proposed system also provides a graphical results of each ability instead of assessment result, for better understanding and analyzing himself/herself based on to the performance assessment and the result. Moreover, the proposed system contains a method to predict future achievement result with moving average technique. Therefore, an academic achievement can be precisely determined by himself/herself to estimate self-directed learning. The teacher can provide different level of educational resources such as supplement learning, problem explains and private instructor etc., in order to maximize efficiency of education.

• Korean Journal of Child Studies
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• v.22 no.4
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• pp.213-224
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• 2001

This study was conducted to explore the communication processes and contents between cooperating teachers and their student teachers during student teaching conferences. To reach this purpose, five research questions were generated. 15 cooperating teachers and their 15 student teachers from 9 kindergartens located in Seoul and Ilsan city participated in the study. The conferences of each dyad were tape-recorded for further analysis. "Analyzing System for Interaction of Learning" designed by Thies-Sprinthall was used to analyze the data. The research findings were as follows: First, cooperating teachers talked more than the student teacher during the conference. Second, the cooperating teachers used more directive talk than indirective talk. Third, the speaking patterns of the student teachers revealed that student teachers express their opinions frequently(55.6% of total pattern). Fourth, cooperating teachers focused their remarks more on the instructional issues(48.5%). The cooperating teachers emphasized on the operation of class(23.1%), other subject(12.3%), practical guidance(10.7%), self-assesment(5.4%) in order. Fifth, the most emphasized issue by student teachers was the instructional matters which was reported by 53.4% of the entire subjects.

• Korean Journal of Cognitive Science
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• v.16 no.4
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• pp.369-386
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• 2005

Although Intelligent Tutoring System(ITS) offers individualized learning environment that overcome limited function of existent CAI, and consider many learners' variable, there is little development to be using at the sites of schools because of inefficiency of investment and absence of pedagogical content knowledge representation techniques. To solve these problem, we should study a method, which represents knowledge for ITS, and which reuses knowledge base. On the pedagogical content knowledge, the knowledge in education differs from knowledge in a general sense. In this paper, we shall primarily address the multi-complex structure of knowledge and explanation of learning vein using multi-complex structure. Multi-Complex, which is organized into nodes, clusters and uses by knowledge base. In addition, it grows a adaptive knowledge base by self-learning. Therefore, in this paper, we propose the 'Extended Neural Logic Network(X-Neuronet)', which is based on Neural Logic Network with logical inference and topological inflexibility in cognition structure, and includes pedagogical content knowledge and object-oriented conception, verify validity. X-Neuronet defines that a knowledge is directive combination with inertia and weights, and offers basic conceptions for expression, logic operator for operation and processing, node value and connection weight, propagation rule, learning algorithm.