國立臺南大學專任教師基本資料
姓名蘇俊銘
系所數位學習科技學系
職稱副教授
校內分機 
EMAILjmsu@mail.nutn.edu.tw
辦公室 
網址 
專長/研究領域數位學習,專家系統,視覺化技術,遊戲設計與引擎,資料探勘,網際網路應用
著作名稱:Learning, Design, and Technology, An International Compendium of Theory, Research, Practice, and Policy
年度:2016
類別:專書
摘要:Due to the IPV4 address exhaustion problem, how to efficiently promote and learn the IPv6 upgrade knowledge has been paid more attention. Therefore, based on the concept of the self-adaptive learning, this study proposes a design scheme of the Virtual Experiment Learning Activity for learning IPv6 subject (IPv6-VELA), which is able to integrate the relevant learning materials for conceptual learning with virtual experiment for the hands-on learning. Therefore, the learners are able to learn the IPv6 upgrade knowledge in the step-by-step manner by means of the scaffolding supports, where the Formative and Summative Diagnostic Reports will be generated according to learners’ learning portfolio to assist them in facilitating the self-adaptive learning. The experimental result also shows that the IPv6-VELA-based learning activity is beneficial for both the learners and teachers.
關鍵字:IPv6 upgrade training, Virtual experiments, Learning activity, Scaffolding, Personalized diagnosis, Self-adaptive learning
著作名稱:A Reconfigurable Simulation-based Test System for Automatically Assessing Software Operating Skills
年度:2015
類別:期刊論文
摘要:In recent years, software operating skills, the ability in computer literacy to solve problems using specific software, has become much more important. A great deal of research has also proven that students’software operating skills can be efficiently improved by practicing customized virtual and simulated examinations. However, constructing these simulation-based examinations is cost intensive and time-consuming. Thus, a reconfigurable simulation-based test system designed on a proposed Software Operation-Finite State Machine has been developed. Using this system, teachers can use a graphic authoring tool to construct and reconfigure simulation-based tests for designated software operation tasks. For the students, these simulation-based tests can be performed via the Web browser without any extra computer environment setting costs. After students finish the test, the proposed system can automatically assess their online operating paths to generate the assessment report for self-reflection. Moreover, in order to share and reuse the designed simulation-based tests, this paper suggests some extensions of IMS Question & Test Interoperability to support the proposed simulation-based operation test format. Finally, an experiment was conducted to evaluate 38 sixth grade elementary school students. The experimental results show that this system can meet both teachers’ and students’ educational requirements while significantly improving students’ learning performance of the software operating skills.
關鍵字:Computer-based testing, Software operating skills, Simulation-based test, Automatic assessment, Computer literacy
著作名稱:Jun-Ming Su, Huan-Yu Lin, Shian-Shyong Tseng, and Chia-Jung Lu, "OPASS: an Online Portfolio Assessment and Diagnosis Scheme to Support Web based Scientific Inquiry Experiments," Turkish Online Journal of Educational Technology (TOJET), Vol. 10, Issue 2, April, 2011, pp. 151-173. (SSCI-5) (Impact Factor: 1.016, 2010)
年度:2011
類別:期刊論文
摘要:Promoting the development of students’ scientific inquiry capabilities is a major learning objective in science education. As a result, teachers require effective assessment approaches to evaluate students’ scientific inquiry-related performance. Teachers must also be able to offer appropriate supplementary instructions, as needed, to students. Scientific inquiry capabilities should be assessed by evaluating students’ scientific inquiry portfolios in actual hands-on experiments. Although virtual laboratory systems can reduce the cost of conducting scientific inquiry experiments, the manual portfolio assessment approach is still difficult and time-consuming for teachers. Therefore, in this paper, in order to provide students with personalized learning guidance concerning not only the conceptual knowledge, but also the high-order, integrative abilities of scientific inquiry, an Online Portfolio Assessment and Diagnosis Scheme, called OPASS, was proposed to assist teachers in automatically assessing and diagnosing students’ abilities as they relate to scientific inquiry performance. Personalized diagnostic reports were generated by employing the rule-based inference approach, which diagnosed learning problems and provided corresponding reasons and remedial suggestions based on teacher-defined assessment knowledge of the scientific inquiry experiment. For the evaluation, experimental results showed that the OPASS was helpful and beneficial for both students and teachers.
關鍵字:Scientific inquiry, Personalized diagnosis, Portfolio assessment, Virtual laboratory
著作名稱:An Easy-to-Use 3D Visualization System for Planning Context-aware Applications in Smart Buildings
年度:2014
類別:期刊論文
摘要:With the proliferation of wireless sensor network technologies, the context-aware applications of smart environments have become more and more popular. However, time-consuming and labor-intensive works hamper the development of smart building applications. Therefore, application developers need the proper software platforms to efficiently design the applications. Much research currently proposed the design approaches based on low-level concerns and the real-world deployments based on high-level programming abstraction are rare. Accordingly, the pressing issue is how to offer the easy-to-use tools with acceptable performance to rapidly and easily design the application scenarios for non-technical application users. Therefore, this study focuses on the application-layer simulation to propose a Visualization System of Context-aware Application Scenario Planning (VS-CaSP) for assisting non-technical developers and end-users in rapidly and easily designing the application scenario of smart buildings and in performing the acceptable and predictable simulation and evaluation. VS-CaSp applies rule-based and 3D visualization techniques to offer a 3D authoring environment integrated with real Zigbee sensor devices, where designers are able to rapidly construct immersive 3D buildings and easily plan the context-aware application scenario via GUI tool based on proposed three-tier rule hierarchy, to visually simulate and verify the planned scenario via virtual and real sensor devices, and to repeatedly modify the control strategies to enhance the deployment effectiveness. The experimental results show that VS-CaSP is easy to use for the support of quickly design smart building applications, but not professional enough for developments of 3D modeling, animation, and rule expression. Accordingly, it is workable and expected to prove beneficial to non-technical users.
關鍵字:Smart Buildings, Context-aware, Application Scenario Planning, 3D Visualization, Wireless Sensor Network, ZigBee
著作名稱:An Adaptive Test Sheet Generation Mechanism Using Genetic Algorithm
年度:2012
類別:期刊論文
摘要:For test-sheet composition systems, it is important to adaptively compose test sheets with diverse conceptual scopes, discrimination and difficulty degrees to meet various assessment requirements during real learning situations. Computation time and item exposure rate also influence performance and item bank security. Therefore, this study proposes an Adaptive Test Sheet Generation (ATSG) mechanism, where a Candidate Item Selection Strategy adaptively determines candidate test items and conceptual granularities according to desired conceptual scopes, and an Aggregate Objective Function applies Genetic Algorithm (GA) to figure out the approximate solution of mixed integer programming problem for the test-sheet composition. Experimental results show that the ATSG mechanism can efficiently, precisely generate test sheets to meet the various assessment requirements than existing ones. Furthermore, according to experimental finding, Fractal Time Series approach can be applied to analyze the self-similarity characteristics of GA’s fitness scores for improving the quality of the test-sheet composition in the near future.
關鍵字:Test Sheet Generation, Mixed Integer Programming, Adaptive Conceptual Granularity, Genetic Algorithm, Fractal Time Series
著作名稱:Jun-Ming Su, Shian-Shyong Tseng, Huan-Yu Lin, and Chun-Han Chen, "A Personalized Learning Content Adaption Mechanism to Meet Diverse User Needs in Mobile Learning Environment," User Modeling and User-Adapted Interaction (UMUAI), Vol. 21, No. 1, pp. 5-49, 2011. doi: 10.1007/s11257-010-9094-0. (SCI-4) (Impact Factor: 3.074, 2010)
年度:2011
類別:期刊論文
摘要:With the heterogeneous proliferation of mobile devices, the delivery of learning materials on such devices becomes subject to more and more requirements. Personalized learning content adaptation, therefore, becomes increasingly important to meet the diverse needs imposed by devices, users, usage contexts, and infrastructure. Historical server logs offer a wealth of information on hardware capabilities, learners’preferences, and network conditions, which can be utilized to respond to a new user request with the personalized learning content created from a previous similar request. In this paper, we propose a Personalized Learning Content Adaptation Mechanism (PLCAM), which applies data mining techniques, including clustering and decision tree approaches, to efficiently manage a large number of historical learners’ requests. The proposed method will intelligently and directly deliver proper personalized learning content with higher fidelity from the Sharable Content Object Reference Model (SCORM)-compliant Learning Object Repository (LOR) by means of the proposed adaptation decision and content synthesis processes. Furthermore, the experimental results indicate that it is efficient and is expected to prove beneficial to learners.
關鍵字:Personalized learning content, Content adaptation, Mobile learning environment, Data mining, Learning object repository