A review and survey of Problem-Based Learning application in Engineering Education

This paper gives a review of Problem-Based Learning (PBL) applied in engineering courses worldwide, and a survey of academic staff who have implemented PBL in engineering classes in Universiti Teknologi Malaysia. The review of PBL application illustrates the extent of acceptance and success of PBL in schools of engineering in the international arena. The survey, on the other hand, illustrates the acceptance of PBL among engineering lecturers and the possibility of applying PBL in Malaysia. The main purpose of the survey is to obtain feedback on PBL regarding the impressions, set-backs and constraints faced, as well as innovations and tips for successful implementation from the faculty members involved

Enhancing learning through cooperative learning: UTM experience

Lecture-based classes are the predominant teaching method in all levels of education. This teaching style, undoubtedly is able to deliver knowledge to students and produce graduates. However, this teaching technique is usually unable to invoke higher level of cognitive skills. With an ever-growing volume of knowledge that must be covered in engineering education, an alternative technique must be used to enhance learning. Co-operative learning is a proven teaching technique that is able to enhance students’ learning through active learning. This technique has been widely accepted in engineering education in the United States, Europe, United Kingdom and Australia. In UTM, lecturers from different faculties of engineering implement cooperative learning in their classes. The main aim is to induce better retention, in-depth understanding and mastery of knowledge among students. This paper shows how cooperative learning successfully enhance students' learning by looking at the performance of their grades in different engineering classes

Dynamic scheduling in a multi-product manufacturing system

To remain competitive in global marketplace, manufacturing companies need to improve their operational practices. One of the methods to increase competitiveness in manufacturing is by implementing proper scheduling system. This is important to enable job orders to be completed on time, minimize waiting time and maximize utilization of equipment and machineries. The dynamics of real manufacturing system are very complex in nature. Schedules developed based on deterministic algorithms are unable to effectively deal with uncertainties in demand and capacity. Significant differences can be found between planned schedules and actual schedule implementation. This study attempted to develop a scheduling system that is able to react quickly and reliably for accommodating changes in product demand and manufacturing capacity. A case study, 6 by 6 job shop scheduling problem was adapted with uncertainty elements added to the data sets. A simulation model was designed and implemented using ARENA simulation package to generate various job shop scheduling scenarios. Their performances were evaluated using scheduling rules, namely, first-in-first-out (FIFO), earliest due date (EDD), and shortest processing time (SPT). An artificial neural network (ANN) model was developed and trained using various scheduling scenarios generated by ARENA simulation. The experimental results suggest that the ANN scheduling model can provided moderately reliable prediction results for limited scenarios when predicting the number completed jobs, maximum flowtime, average machine utilization, and average length of queue. This study has provided better understanding on the effects of changes in demand and capacity on the job shop schedules. Areas for further study includes: (i) Fine tune the proposed ANN scheduling model (ii) Consider more variety of job shop environment (iii) Incorporate an expert system for interpretation of results. The theoretical framework proposed in this study can be used as a basis for further investigation

Sea level change in the Malaysian seas from multi-satellite altimeter data

Seas from satellite altimetry data of the Topex, Jason-1, ERS-1, ERS-2 and Envisat missions. During the past two decades, satellite altimeter has provided its capability in measuring the global mean of sea level with precision better than 1 mm/year. Sea level data retrieval and reduction were carried out using Radar Altimeter Database System (RADS). In RADS data processing, the recently updated environmental and geophysical corrections were applied. Sixth 1° × 1° areas were chosen for the altimeter data comparison and to find the best ocean tide model for Malaysian Seas, where the altimeter tracks are nearby to tide gauge locations. Similarity in the pattern of sea level variations indicated good agreements between tide gauge data and altimeter data using FES2004 ocean tide model. It also showed that the altimeter data can be used to investigate sea level rise for Malaysian Seas. Here, sea level variations for four areas in the Malaysian Seas have been investigated using 15 years of altimeter data. The altimeter sea level time series revealed that since 1993, the mean sea level in Malaysian Seas has been rising at a rate of between 1.42 – 4.08 mm/year. This information is important to study alternative energy extraction and environmental issues related to flood investigations and global warming

Change management and implementation of total productive maintenance: an exploratory study of Malaysian manufacturing companies

This study examines the effects of change management towards the implementation of productivity and quality improvement programs through the concept of Total Productive Maintenance (TPM), in manufacturing firms in Malaysia. The factors measured are management commitment, training and education, employee empowerment, team culture and company policies and goals for change management. Autonomous maintenance and planned maintenance factors were used to measure TPM. The findings of the study provide empirical evidence that change management factors significantly enhances the extent of TPM implementatio

The application of electro-coagulation in biodiesel wastewater treatment

A large quantity of oily wastewater is generated by biodiesel refineries which results in terrible environmental pollution and resource utilization problems. This wastewater must be treated before being released into the environment due to it normally rich in biological oxygen demand (BOD) and chemical oxygen demand (COD) which usually have damaging and harmful effects on plants, sea, river as well as surface and groundwater sources. Conventional biodiesel wastewater treatment methods such as gravity separation and skimming, air flotation, coagulation, de-emulsification and flocculation, posses several disadvantages including high operation cost, low efficiency, corrosion and recontamination problems. Indeed, most of these conventional methods unable to remove the micron or submicron sized oil droplets efficiently. Currently, new processes for efficient and adequate treatment of various industrial wastewaters with relatively low operating costs have been developed to meet the strict environmental regulations. At this point, the electrocoagulation process has attracted a great deal of attention in treating industrial wastewaters because of its versatility and environmental compatibility. Therefore, in this chapter, the advatages and application of electro-coagulation techniques were reviewed and discussed

Analyzing ethnic and cultural materials : insights into ELT materials

Ethnic and cultural materials and English Language Teaching (ELT) materials are related especially in terms of the emphasis on cultural knowledge and skills as well as the language and critical thinking skills. This study intends to research on ethnic and cultural materials within the perspectives of English language materials design. Specifically, the objectives of the study are to investigate the relevance and implications of such materials to ELT materials. The materials were selected from the content of Ethnic Relations course as it contained rich ethnic and cultural elements. When examining such materials from the perspectives of English language materials design, three aspects are considered: learner factors, text factors and task factors. The instrument used for the study was a checklist derived from works by Contazzi and Jin (2001), Nunan (2001), Tomlinson (2001) and Banks (1990). Basically, the checklist consists of 25 items and it was divided into three parts, learner factors, text factors, and task factors. The materials were analyzed using the checklist according to the specified criteria and the data obtained were represented in the form of description, examples and evidence. In addition, lecturers’ perceptions on the materials were attained using a set of interview questions. The findings indicate that a) ethnic and cultural materials have positive impacts on students’ interest and motivation, b) such materials include useful cultural elements and are comprehensible to students, and c) the tasks given are relevant and meaningful. The study also proves that lecturers dealing with ethnic and cultural contents are aware of the benefits of using such materials for teaching language and culture as it can foster critical thinking and develop communicative competence. Thus, the use of ethnic and cultural materials has a direct and significant implication to English language teaching and learning if the same criteria were to be applied when selecting and using ELT materials

Co2-H2o Fugacity Modeling Using Neural Network

Duan and Sun (2003) have designed a theoretical model for carbon dioxide (CO,) solubility in pure water. This model is valid for solutions !rom 273 to 573K and from 0 to 2000 bar, while in the other hand, all the parameters presented in the model can be directly calculated without any iteration, except fugacity coefficient of C02 ( ~c02) which is a function of temperature (T) and pressure (P). In order to calculate the ~c02, 15 coefficients must be fitted into the equation. Since the P-T diagram of C02 is divided into 6 regions, different sets of these coefficients need to be applied for different regions. Hence, there is a need to design a single model to calculate ~c02 for the whole regions ofP-T diagram which will be done in this project

Motorized cart

Motorized cart is known as an effective tool and timeless that help people carry heavy loads. For farmers, it has an especially vital tool for moving goods. Oil palm farmers typically uses the wheelbarrow to move the oil palm fruit (Figure 10.1). However, there is a lack of equipment that should be further enhanced in capabilities. Motorized carts that seek to add automation to wheelbarrow as it is to help people save manpower while using it. At present, oil palm plantation industry is among the largest in Malaysia. However, in an effort to increase the prestige of the industry to a higher level there are challenges to be faced. Shortage of workers willing to work the farm for harvesting oil palm has given pain to manage oil palm plantations. Many have complained about the difficulty of hiring foreign workers and a high cost. Although there are tools that can be used to collect or transfer the proceeds of oil palm fruits such as carts available. However, these tools still have the disadvantage that requires high manpower to operate. Moreover, it is not suitable for all land surfaces and limited cargo space. Workload and manpower dependence has an impact on farmers' income