• Journal of Educational Research in Mathematics
• /
• v.22 no.2
• /
• pp.179-202
• /
• 2012

To implement effective technology-based education, we need knowledge for functional aspects of technology as well as design and procedural aspects of curriculums. Also, we need positive teaching efficacy. In this regard, we investigate the effects on teachers' TPACK and technology teaching efficacy on mathematics after make the teachers design and teach technology-based classes according to the ASSURE model which is suitable in designing technology-based educations. First, we let the teachers design and teach two unit hour classes. The first class had been done with the teachers learned functional aspects of technologybased educations, and the second one with them designed based on the steps in the ASSURE model. To analyze the effects of ASSURE model, we have performed a case-study for one teacher who had taken part in our college class. As a result, we conclude that the teacher's experiences in designing classes based on the ASSURE model help improve the teacher's TPACK and technology teaching efficacy on mathematics in a positive way.

• Journal of The Korean Association of Information Education
• /
• v.24 no.4
• /
• pp.265-278
• /
• 2020

The purpose of this study is to analyze the experience of the process of developing instructional media by using Scratch for in-service teachers, after they participated in programming education with Scratch conducted as part of teaching methods using ICT. In particular, this study aimed to explore in-service teachers' thoughts and experiences of the objectives and methods integrated the programming education into their subjects creatively and convergently. To achieve the objective, they conducted an instructional design in accordance with their subject's learning goals and methods on the framework of the ASSURE model. Then, they conducted a project to develop instructional media with Scratch as part of the instructional design. 10 in-service teachers who attends the Graduate School of Education at K University in the second semester of 2019 were participated in this study. As a result, teachers showed positive expectation that the use of media developed by Scratch could bring significant results to attract students' interest and promote students' participation to lead learner-centered classes. This study has implications for future direction on programming education for professional development programs of prospective teachers as well as in-service teachers.

• Journal of Korean Library and Information Science Society
• /
• v.44 no.2
• /
• pp.27-50
• /
• 2013

In this study, a smart Learning instruction model for school library was developed in terms of library instruction. Based on ADDIE model and ASSURE model, this model is organized considering the characteristics of school library, including facilities, materials, human resources, information problem solving process, collaborative teaching and blended learning, and utilizing smart devices. The entire procedure of this model is as follows: "establishment of instructional objectives${\rightarrow}$learner analysis${\rightarrow}$analyzing the learning environment${\rightarrow}$analyzing the learning task${\rightarrow}$instructional process design${\rightarrow}$developing instructional tool${\rightarrow}$instruction${\rightarrow}$evaluation". In addition, an instructional practice is provided for actual experience of smart Learning in school libraries.

• Proceedings of the Korea Contents Association Conference
• /
• 2008.05a
• /
• pp.161-165
• /
• 2008

The purpose of this study is to design and apply that teaching and learning methodology of motion image based on modified ASSURE model to improve creativity the competitive power of an information oriented society. To accomplish the end of this study, the following procedure and methods were performed. After the theoretical consideration about education visual image and creativity, we get to the bottom the connection of them. In the result of that, it designed plans for teaching and learning applied by modified ASSURE model. And it had larger efficiency to apply a creativity develop learning model when it spread out teaching and learning process to produce motion image. The main points of the result and the meaning are as follows. Firstly, in the light of the result of this study, student's creativity were enhanced to a large extent as applying this study. It appeared that the average of performance improved from 30.18 to 37.44. Such difference was t=-14.39 (p<0.05), which is a meaningful difference in terms of statistics. Secondly, it laid the foundations for being cultural prosumer as applying this study. Additionally, it anticipated that all the students join in this study become leader group in the age of digital media.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.22 no.3
• /
• pp.5-24
• /
• 2011

Teachers must design instruction to meet effective teaching and learning before teaching implementation. The traditional models of instructional design such as Dick and Carey, ADDIE and ASSURE have been widely applied. However, the traditional models of instructional design have limitation in that students fail in deep understanding of subject content because of break down essential goal of the unit small pieces of contents. To solve this problem, Wiggins and McTighe have suggested backward design. Backward design is a method of designing instruction by setting evaluation before choosing activities or content to teach. Therefore, this study explores the effective teaching and learning by analyzing structure of backward design and appling backward design to 'Library and Information Life' subject for information literacy education. Backward design for 'Library and Information Life' subject applies the template which Wiggins and McTighe devised for instructional design.

• Journal of Korea Game Society
• /
• v.21 no.1
• /
• pp.67-80
• /
• 2021

The purpose of this study were to develop VR-based cooking serious game(VR-Cook) for students with intellectual disabilities and to validate effectiveness. The VR-Cook was developed using the ASSURE model. Twenty students with intellectual disabilities were participated to verify effectiveness. Ten students were assigned to the experimental group and the others to the control group. The control group received traditional interventions, and the experimental group participated in the intervention combining traditional intervention with VR-Cook. Evaluations were made at three times, and evaluation data were analyzed with repeated two-way ANOVA. The experimental group has improved more than control group in cooking activities and class attitudes.

• Journal of Korea Water Resources Association
• /
• v.45 no.5
• /
• pp.473-480
• /
• 2012

A two-dimensional depth-integrated hydrodynamic and a depth-averaged passive scalar transport models were developed by using a Compact Finite Volume Method (CFVM) which can assure a higher order accuracy. A typical wave current interaction experimental data set was compared with the computed results by the proposed CFVM model, and resonable agreements were observed from the comparisons. One and two dimensional scalar advection tests were conducted, and very close agreements were observed with very little numerical diffusion. Finally, a turbulent mixing simulation was done in an open channel flow, and a reasonable similarity with LES data was observed.

• Journal of Internet Computing and Services
• /
• v.7 no.1
• /
• pp.75-89
• /
• 2006

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA), Logit Analysis, Neural Network. The research targeted the bankrupted companies after the foreign exchange crisis in 1997 to differentiate from previous research efforts, and all participating companies were randomly selected from the KSE listed companies belonging to manufacturing industry to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural networks is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

• The Korean Journal of Applied Statistics
• /
• v.35 no.3
• /
• pp.385-393
• /
• 2022

In this paper, we consider univariate time series models that are well known in the field of forecasting and we study on forecasting performance for their simple combinations. The univariate time series models include exponential smoothing methods and ARIMA (autoregressive integrated moving average) models, their extended models, and non-seasonal and seasonal random walk models, which is frequently used as benchmark models for forecasting. The median and mean are simply used for the combination method, and the data set used for performance evaluation is M3-competition data composed of 3,003 various time series data. As results of evaluating the performance by sMAPE (symmetric mean absolute percentage error) and MASE (mean absolute scaled error), we assure that the simple combinations of the univariate models perform very well in the M3-competition dataset.

• Journal of Korean Society of Transportation
• /
• v.32 no.4
• /
• pp.380-388
• /
• 2014

Annual average daily traffic(AADT) serves as important basic data in the transportation sector. AADT is used as design traffic which is the basic traffic volume in transportation planning. Despite of its importance, at most locations, AADT is estimated using short term traffic counts. An accurate AADT is calculated through permanent traffic counts at limited locations. This study dealt with estimating AADT using various models considering both the spatial correlation and time series data. Kriging models which are commonly used spatial statistics methods were applied and compared with each model. Additionally the External Universal kriging model, which includes explanatory variables, was used to assure accuracy of AADT estimation. For evaluation of various kriging methods, AADT estimation error, proposed using national highway permanent traffic count data, was analyzed and their performances were compared. The result shows the accuracy enhancement of the AADT estimation.