• Educational Technology International
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• v.6 no.2
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• pp.23-41
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• 2005

One of the main factors that determine the quality of instruction is the teaching ability of the instructor administering the class. To evaluate teaching ability, methods such as peer review, student feedback, and teaching portfolio can be used. Among these, because feedback from the students is directly associated with how well the students feel they have learned, it is essential to improving instruction and teaching ability. The principal aim of instruction evaluation lies in the evaluation of instructor's qualification and the improvement of instruction quality by enhancing professionalism. However, the mandatory instruction evaluations currently being carried out at the term's end in universities today have limitations in improving instruction in terms of its evaluation items and times. To improve the quality of instruction and raise teaching abilities, instruction evaluations should not stop at simply being carried out but also be utilized as useful data for students and teachers. In other words, they need to be used to develop teaching and improve instruction for teachers, and consequently, should also exert a positive influence on students' scholastic achievements and learning ability. The most important thing in evaluation is the acquisition of accurate information and how to utilize it to improve instruction. The online instruction diagnosis item pool is a more realistic feedback device developed to improve instruction quality. The instruction diagnosis item pool is a cafeteria-like collection of hundreds of feedback questions provided to enable instructors to diagnose their instruction through self-diagnosis or students' feedback, and the instructors can directly select the questions that are appropriate to the special characteristics of their instruction voluntarily make use of them whenever they are needed. The current study, in order to find out if the online instruction diagnosis item pool is truly useful in reforming and improving instruction, conducted pre and post tests using 256 undergraduate students from Y university as subjects, and studied the effects of student feedback on instructions. Results showed that the implementation of instruction diagnosis improved students' responsibility regarding their classes, and students had positive opinions regarding the usefulness of online instruction diagnosis item pool in instruction evaluation. Also, after instruction diagnosis, analyzing the results through consultations with education development specialists, and then establishing and carrying out instruction reforms were shown to be more effective. In order to utilize the instruction diagnostic system more effectively, from planning the execution of instruction diagnosis to analyzing the results, consulting, and deciding how those results could be utilized to instruction, a systematic strategy is needed. In addition, professors and students need to develop a more active sense of ownership in order to elevate the level of their instruction.

• Journal of The Korean Association of Information Education
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• v.19 no.3
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• pp.311-322
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• 2015

This study analyzed the trend and problems in the design of contents developed by teachers, and suggested strategies for improvement. It analyzed the contents ranked as the first level in the Research Competition on Educational Informatization for the last 3 years. Concerning the 8 types of instructional activities and the 6 types of knowledge acquisition, most contents took limited types(i.e., the individual tutoring type, the concept learning type and the principle learning type). In addition, when the contents were evaluated according to the quality certification criteria for educational software, it was found that the quality level of the design was low in many criteria. When the content analysis was applied for the in-depth analysis of design characteristics, various problems were found in the areas such as evaluation, feedback and learning objectives. Also other common problems were found in the design areas such as level-based differentiated learning, interaction between students and contents, presentation of text and narration, utilization of information on a student, screen design, the content level appropriate for students. In relation to the problems found from the analysis, some strategies for improvement were suggested concerning the following topics: question selection and guidance for evaluation, content and types of feedback, statement of learning objectives, selection of content, interaction, and screen design.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.439 -447
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• 2023

This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.

• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.77-82
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• 2004

Reinforcement learning takes reward about selecting action when agent chooses some action and did state transition in Present state. this can be the important subject in reinforcement learning as temporal-credit assignment problems. In this paper, by new meta heuristic method to solve hard combinational optimization problem, examine Ant-Q learning method that is proposed to solve Traveling Salesman Problem (TSP) to approach that is based for population that use positive feedback as well as greedy search. And, suggest Ant-TD reinforcement learning method that apply state transition through diversification strategy to this method and TD-error. We can show through experiments that the reinforcement learning method proposed in this Paper can find out an optimal solution faster than other reinforcement learning method like ACS and Ant-Q learning.

• The Korean Journal of Emergency Medical Services
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• v.7 no.1
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• pp.109-118
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• 2003

With the rapid development of information and communication technology, a lot of multi-media learning programs are being developed and reported in the field of Emergency medicine both home and abroad. In this connection, this study was aimed at developing a foreign-body airway obstruction courseware in adults for EMT. The development period of CAI courseware lasted from May 2003 through November 2003. Among CAI courseware patterns, private instruction and repeat practice and simulation patterns were used as an instruction-learning strategy. The learning contents of the CAI courseware consisted of five chapters concerning (1) A relief of partial FBAO in the responsible victim, (2) A relief of complete FBAO in the responsible victim, (3) In case of unconsciousness in the responsible victim without removing all foreign body, (4) In case of consciousness in all victims after getting removed all foreign body and (5) A complete airway obstruction in victims without consciousness on the basis of assess responsiveness and the degree of airway obstruction. The way to use this courseware, with just a click on one specific chapter, was developed to proceed a course with progressive algorithm, a method of solving problems by choosing one between two situations. A characteristic of this CAI courseware is the enhanced efficiency of an instruction-learning method by providing an opportunity of choice based on situations in its effort to encourage learners to use a self-initiated learning method, not one-way method and to enhance problem solving skills among situations. Moreover, this courseware went through the diverse phases such as development, application, feedback in connection with learning process by practicing teachers, so that the courseware could be used frequently in the future. The contents of this courseware were written with the web, so that, if necessary, the contents could be continuously modified and complemented and handed out in the form of CD-ROM. This study indicates that the development of a variety of CAI courseware requires institutional and financial assistance and initiatives reflecting a reality in terms of learning process, technical assistance and resources.

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.71-80
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• 2010

The purpose of this research is to help IPTV (Internet Protocol Television) commercialization using newly produced educational contents in the area of entertainment and education which currently popular in the market. It is called, Stimulus $Tester^{TM}$, endow reaction time from the feedback of learning system, using a non-direct method, for example, a remote controller. Reaction time is the learning efficiency promotion mechanism that learner ascertain the learning condition of oneself by the time with solved questions from the solving the question in given time. Reaction time also play a key role that the learner may go through course which distribute the point to PC from Server. If this system is ready, we expect that the educational industry will gradually spread out. To verify the learning efficiency of this system, we concluded that the learning improvements, by an Internet-based and a paper-based test, of the increase by 51%, from 2.47min to 1.27min, during reaction of 7 days.

• Journal of The Korean Association of Information Education
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• v.7 no.2
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• pp.207-217
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• 2003

Individual studying that compose knowledge and improve efficiency of studying through collection of information by various class strategy which takes advantage of web, and Cooperative learning that can elevate sense of responsibility and solve the problem through communication with another person have been developed actively. But, individuation tutoring materials that is developed present doesn't fit of causing learner's interest, and stimulating curiosity about problem because mostly studying is gone in presentation form. Also, cooperative learning materials are lacking connection with actual course of education, application is difficult in real class spot. So, this research has applied self-directed learning, centered with interested operation activity, aimed at improvement in various thought. Also, we have developed social studies tuition-learning system, purpose to the management is possible with on-line project studying which could improve mind-decision ability and ICT application ability. This system is developed for flexible management could be possible in various class circumstance, and level learning could be done through accomplishment-test and the result could be applied by feedback process.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.365-373
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• 2005

Ubiquitous learning environment needs various new model of e-learning as web based education system has been proposed. The demand for the customized courseware which is required from the learners is increased. the needs of the efficient and automated education agents in the web-based instruction are recognized. But many education systems that had been studied recently did not service fluently the courses which learners had been wanting and could not provide the way for the learners to study the learning weakness which is observed in the continuous feedback of the course. In this paper we propose a multi-agent system for course scheduling of learner-oriented using weakness analysis algorithm via personalized ubiquitous environment factors. First proposed system analyze learner's result of evaluation and calculates learning accomplishment. From this accomplishment the multi-agent schedules the suitable course for the learner. The learner achieves an active and complete learning from the repeated and suitable course.

• The KIPS Transactions:PartA
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• v.14A no.6
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• pp.383-390
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• 2007

This paper describes the e-learning system for science and engineering mathematics using computer algebra system and Bayesian inference network. The best feature of this system is using one of the most recent mathematical dynamic web content authoring model which is called client independent dynamic web content authoring model and using the Bayesian inference network for diagnosing student's learning. The authoring module using computer algebra system provides teacher-user with easy way to make dynamic mathematical web contents. The diagnosis module using Bayesian inference network helps students know the weaker parts of their learning, in this way our system determines appropriate next learning sequences in order to provide supplementary learning feedback.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.315-327
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• 2019

The purpose of this study was to propose an effective teaching and learning model by investigating the influencing factors of elementary school students' interest and computational thinking in software education based on flipped learning. To accomplish the purpose of the study, we developed a software education program based on flipped learning for elementary school students and applied qualitative research based on the interviews with the students and outputs from the learning process. The results of this study, First, factors affecting interest in the elementary school students' software education based on flipped learning were 'the expectation of class', 'authentic task', 'the accomplishment of task' and 'interaction with peers'. Second, the factor of enhancing computational thinking was 'the accomplishment of task', 'interaction with peers', and 'the teacher's meaningful feedback'.