National Taiwan University of Science and Technology

About: National Taiwan University of Science and Technology is a education organization based out in Taipei, Taipei, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Control theory. The organization has 16288 authors who have published 21577 publications receiving 426294 citations. The organization is also known as: Taiwan Tech & Taiwantech.

Weighted fuzzy reasoning using weighted fuzzy Petri nets

Abstract: This paper presents a Weighted Fuzzy Petri Net model (WFPN) and proposes a weighted fuzzy reasoning algorithm for rule-based systems based on Weighted Fuzzy Petri Nets. The fuzzy production rules in the knowledge base of a rule-based system are modeled by Weighted Fuzzy Petri Nets, where the truth values of the propositions appearing in the fuzzy production rules and the certainty factors of the rules are represented by fuzzy numbers. Furthermore, the weights of the propositions appearing in the rules are also represented by fuzzy numbers. The proposed weighted fuzzy reasoning algorithm can allow the rule-based systems to perform fuzzy reasoning in a more flexible and more intelligent manner.

The evaluation of different gaming modes and feedback types on game-based formative assessment in an online learning environment

Abstract: This study proposed an online learning system for energy education, modifying the typical rules of tic-tac-toe and incorporating multiple choice tests into the game in order to develop a game-based formative assessment tool for an online learning course. In order to explore how different gaming modes and feedback types in this game-based formative assessment affect knowledge acquisition effectiveness and participation perceptions, a tic-tac-toe quiz game (TRIS-Q) with two gaming modes: single-player online game (SOG) and multi-player online game (MOG), and two feedback types: immediate elaborated feedback (IEF) and no immediate elaborated feedback (no IEF), were developed. A 2(SOG vs. MOG)?×?2(IEF vs. no IEF) between-subject experiment was also conducted to investigate the effects on 109 ninth-grade students from four junior high school classes. The research findings indicated that different gaming modes of TRIS-Q did not affect the effectiveness of knowledge acquisition; providing IEF for each question answered in the game facilitated the enhancement of both energy knowledge acquisition and student tic-tac-toe ability when comparing it with the no IEF type. Additionally, the different gaming modes and feedback types did not affect participation perceptions. A tic-tac-toe quiz game for formative assessment was developed in online learning.Two different gaming modes and two feedback types was developed and investigated.Different gaming modes did not affect the learning effectiveness.Providing immediate elaborated feedback in quiz game was useful to online learners.Most students showed positive attitude toward tic-tac-toe quiz game.

Exploring the factor structure of the constructs of technological, pedagogical, content knowledge (TPACK)

Abstract: In recent years, several survey instruments have been designed to measure the technological pedagogical content knowledge (TPACK) of teachers. Even though the TPACK framework was conceptualized as having seven constructs, researchers have only successfully validated the constructs of technological knowledge (TK) and content knowledge (CK). Constructs such as pedagogical content knowledge (PCK), technological content knowledge (TCK), technological pedagogical knowledge (TPK), and TPACK have been found to be difficult to differentiate via factor analysis. This study explored how the contextualization of items in a TPACK to the constructivist-oriented use of ICT for self-directed and collaborative learning improved its construct validity. This survey was administered on 214 Singaporean pre-service teachers. Such an approach for designing this TPACK survey led to the successful identification of the seven theorized constructs through factor analysis. The implications on these findings on the design of TPACK surveys are discussed.

Opinion Mining on Social Media Data

Abstract: Microblogging (Twitter or Facebook) has become a very popular communication tool among Internet users in recent years. Information is generated and managed through either computer or mobile devices by one person and is consumed by many other persons, with most of this user-generated content being textual information. As there are a lot of raw data of people posting real time messages about their opinions on a variety of topics in daily life, it is a worthwhile research endeavor to collect and analyze these data, which may be useful for users or managers to make informed decisions, for example. However this problem is challenging because a micro-blog post is usually very short and colloquial, and traditional opinion mining algorithms do not work well in such type of text. Therefore, in this paper, we propose a new system architecture that can automatically analyze the sentiments of these messages. We combine this system with manually annotated data from Twitter, one of the most popular microblogging platforms, for the task of sentiment analysis. In this system, machines can learn how to automatically extract the set of messages which contain opinions, filter out nonopinion messages and determine their sentiment directions (i.e. positive, negative). Experimental results verify the effectiveness of our system on sentiment analysis in real microblogging applications.

Investigations of Protonated and Deprotonated Water Clusters Using a Low-Temperature 22-Pole Ion Trap

Abstract: A new tandem mass spectrometer, containing a temperature-variable 22-pole ion trap, has been constructed. It is applied, as a first application, to kinetic and spectroscopic investigation of charged water clusters produced from a supersonic expansion. Using low-pressure He or H2 as buffer gas for collisional thermalization, refrigeration of the ion trap allows a good control of the cluster temperature over the range 77−350 K. It provides an accurate means of determining the dissociation energies of both protonated and deprotonated water cluster ions [H+(H2O)n and OH-(H2O)m] by measuring the dissociation rates at various temperatures along with their internal energies calculated from vibrational frequencies provided by density functional theory calculations. In this report, results of the thermochemical measurements for H+(H2O)4-10 and OH-(H2O)3-7 at well-defined cluster temperatures are presented. The feasibility of using this ion trap to acquire temperature-dependent infrared spectra of charged water clu...