• Journal of The Korean Association of Information Education
• /
• v.19 no.4
• /
• pp.489-498
• /
• 2015

In this study, we suggested the contents, teaching and learning method, and assessment types of algorithm education in elementary schools. First, we suggested the algorithm education contents; the expression, understanding, flowcharts, structure, results, correction, and improvement of algorithm. Second, we showed the algorithm teaching and learning methods; algorithm in our daily life, the unplugged activity, block programming and tangible programming. Finally, we analyzed all missions of 'Hour of Code' in Code.org, and suggested the algorithm assessment 4 types, which includes selecting, filling, correcting, predicting of appropriate algorithm.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.26 no.1
• /
• pp.53-62
• /
• 2024

In this study, we built a model to estimate frost occurrence in South Korea using single-input deep learning and multi-input deep learning. Meteorological factors used as learning data included minimum temperature, wind speed, relative humidity, cloud cover, and precipitation. As a result of statistical analysis for each factor on days when frost occurred and days when frost did not occur, significant differences were found. When evaluating the frost occurrence models based on single-input deep learning and multi-input deep learning model, the model using both GRU and MLP was highest accuracy at 0.8774 on average. As a result, it was found that frost occurrence model adopting multi-input deep learning improved performance more than using MLP, LSTM, GRU respectively.

• Journal of Korea Multimedia Society
• /
• v.24 no.4
• /
• pp.593-600
• /
• 2021

In this paper, we present the FlappyBird Competition System (FCS) implementation, a competition-based automated assessment system used in an entry-level artificial intelligence (AI) course at a university. The proposed system provides an evaluation method suitable for AI courses while taking advantage of automated assessment methods. Students are to design a neural network structure, train the weights, and tune hyperparameters using the given reinforcement learning code to improve the overall performance of game AI. Students participate using the resulting trained model during the competition, and the system automatically calculates the final score based on the ranking. The user evaluation conducted after the semester ends shows that our competition-based automated assessment system promotes active participation and inspires students to be interested and motivated to learn AI. Using FCS, the instructor significantly reduces the amount of time required for assessment.

• Journal of The Korean Association For Science Education
• /
• v.28 no.7
• /
• pp.730-748
• /
• 2008

Students often have tenacious physics misconceptions and many studies were conducted on engendering conceptual change. Correspondingly, there is much literature on alternative assessment and its role in student learning. This is a comparison study on using alternative assessments to improve common students' misconceptions in GCE Advanced Level Physics. This research also aims to affirm alternative assessment as a valid tool for learning and promote its use. This study involved two classes with 24 students each. For four weeks, electromagnetism was taught to students using the same classroom pedagogies but with different assignments. The control group completeda standard drill-and-practice assignment while the experimental group finished an alternative assessment. From the preliminary results, students who undertook the alternative assessment and the traditional assessment both improved, however, the treatment group did not perform statistically significantly better than the control group. The reasons will be discussed and commented and it is expected to have significant improvement on rectifying misconceptionsupon next batch of experimentation groups.

• The Mathematical Education
• /
• v.48 no.1
• /
• pp.21-32
• /
• 2009

The purpose of this study is to diagnose the current states and the problems of student assessment of Elementary School Mathematics. For that purpose, this study conducted a survey and had the individual interviews. The surrey items consisted of the six main parts: questions about the development of assessment tools, the method to assess, the grading, the special supplementary courses, the opening of learning effect, and the follow-up guidances. The results of this study are as the follow First, elementary teachers depended heavily on internet sites for developing assessment problems. Second, elementary teachers made use of a performance assessment, a unit assessment, and a term examination at ordinary times. Third, unit assessment was largely referred for grading by elementary teachers. Fourth, in selecting the students for the special supplementary courses, both criterion-referenced assessment and norm-referenced assessment were considered. After finishing the special supplementary courses, additional tests were usually taken. Fifth, elementary teachers took a negative attitude in opening of learning effect. specialty opening of test paper to parents of students was done under 30%. Sixth, fellow-up guidances were the most through the classroom guidances. but consulting with parents of students was not frequently conducted by teachers.

• The Mathematical Education
• /
• v.42 no.4
• /
• pp.453-463
• /
• 2003

The main purpose of this paper is to develope elementary mathematics teaching-learning programs for pre-service elementary teachers. The elementary mathematics education program developed in this work is divided into two parts: One is the theory, the other is the practice. The theory deals with the foundations of mathematics, the objectives of mathematics education, the history of mathematics education in Korea, the psychology of mathematics learning, the theories of mathematics teaching and learning, and the methods of assessment. With respect to the practice, this study examines the background knowledge and activities of numbers and their operation, geometry, measurement, statistics and probability, pattern and function.

• Journal of the Semiconductor & Display Technology
• /
• v.19 no.4
• /
• pp.126-129
• /
• 2020

We introduce a lifetime assessment technique using deep learning algorithm with complex electrical parameters such as resistivity, permittivity, impedance parameters as integrated indicators for predicting the degradation of the organic molecules. The evaluation system consists of fully automated in-situ measurement system and multiple layer perceptron learning system with five hidden layers and 1011 perceptra in each layer. Prediction accuracies are calculated and compared depending on the physical feature, learning hyperparameters. 62.5% of full time-series data are used for training and its prediction accuracy is estimated as r-square value of 0.99. Remaining 37.5% of the data are used for testing with prediction accuracy of 0.95. With k-fold cross-validation, the stability to the instantaneous changes in the measured data is also improved.

• Korean Medical Education Review
• /
• v.10 no.1
• /
• pp.35-42
• /
• 2008

Purpose : Since PBL was first developed by Howard Barrows at McMaster, it has been adopted as one of the best teaching and learning methods in medical schools throughout the world. However, the educational superiority of PBL relative to traditional approaches is less clear. Given the somewhat extensive resources required for the operation of PBL curriculum, this gives reason for concern. The aim of this study is to review experiences of PBL in other medical schools and learn how to implement PBL in our school. Methods : This study was undertaken in two stages. In the first stage, PBL curricular examples in 7 medical schools (University of Pennsylvania, University of Melbourne, University of Maastricht, McMaster University, Flinders University, Harvard medical school. University of California at L.A.) were collected and summarized. In the second stage, a careful search for articles of journals published since 2000 regarding PBL group assessment, effectiveness of PBL and group facilitation skills was conducted. Results : PBL is generally introduced in a core curriculum in undergraduate medical education. Relating to small group assessment, the perception of students has been well developed. but the current PBL assessment tool needs to be revised, to develop thinking skills of students. The PBL graduates considered themselves as having much better interpersonal skills, better competencies in problem solving and self-directed learning than the non-PBL graduates. Tutors used various techniques to raise awareness, facilitate the group process and direct learning. Conclusions : The following three aspects can be regarded as important in this study. First, to implement PBL in our school more effectively, it might be considered, which curriculum content can be best learned with PBL. Second, to enhance students' thinking skills during PBL, a new assessment tool needs to be developed. Third, tutors' competencies are important to facilitate, group process, so it would be worthwhile including in staff development.

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

• Journal of the Korean Data and Information Science Society
• /
• v.15 no.4
• /
• pp.707-716
• /
• 2004

Recently, many areas of application such as statistics and industrial engineering are interested in the effective education of databases. In this article we design and implement a database learning system based on learner management techniques. The system supports a personalized/ team-centered learning environment, monitoring the learning attitude of learners, and a method for the assessment.