ISSN:2320-9151 Impact Factor:3.5

Volume 8, Issue 10, October 2020 Edition - IEEE-SEM Journal Publication

Development of an Instrument for Evaluating Faculty Teaching Performance Using Outcomes-Based Teaching and Learning (OBTL) FrameworkPDF

Ariel R. Clarin, Enriqueta D. Reston

This study aimed to develop and validate instruments for evaluating faculty performance in the planning and implementation of Outcomes-based Teaching and Learning (OTBL) at the level of classroom practice in higher education courses. Anchored on the Constructive Alignment Theory in OBTL and the Evaluation of Teaching Performance (EPT) model, this study used the mixed methods sequential exploratory research design following the steps outlined by Creswell (2014) where a sequence of qualitative and quantitative methods were used to explore, develop and validate items for the proposed instruments. Items for the instruments were derived from key informants’ interview of administrators and faculty members of a private university in Ozamiz City in addition to the review of literature on OBTL. Content and construct validity of the instruments were established using expert validation, exploratory factor analysis (EFA) and inter-rater agreement while reliability was established using Cronbach’s alpha coefficient as a measure of internal consistency of the items in the entire scale and its subscales. Content validity evidences include experts’ and stakeholders agreement on the appropriateness of the items for the instruments in line with related literature on OBTL. The instrument for observation of teaching practice yielded an inter-rater agreement index using Cohen's Kappa statistic with values ranging from 0.65 to 0.82 indicating substantial to almost perfect agreement. Construct validation using factor analysis yielded three factors for the instrument for evaluating the course syllabus in planning for OBTL; namely: Articulation of Learning Outcomes, Design of Teaching-Learning Activities, and Design of Assessment Tasks. For the instrument on evaluating classroom implementation of OBTL, three factors were also identified as: Communication of Learning Outcomes, Implementation of Teaching-Learning Activities; and Implementation of Assessment Tasks. Reliability analysis of the two instruments yielded high and acceptable Cronbach’s alpha values of 0.92 and 0.95 for the two instruments, respectively. The practicality of the instruments was established through a survey considering its ease of administration, scoring and interpretation. The final instruments developed in this study are named Evaluation of Constructive Alignment in Planning (Syllabus) for OBTL with 26 items, and Evaluation of Constructive Alignment in Classroom Implementation of OBTL with 22 items, both in a five-point rating scale format. The validation processes provided evidences that both instruments are valid and reliable for evaluating the implementation of Outcomes-based Education at the level of assessing teacher planning for OBTL through the course syllabus and through observation of classroom teaching practice. It is recommended that these instruments be used by tertiary institutions for the purpose of evaluating their faculty performance in the planning and implementation of OBTL. Keywords: Assessment, Instrument development, Learning outcomes, Outcomes-based education, Outcomes-based teaching and learning, Validation

NUMERICAL SOLUTION OF HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS WITH FINITE DEFERENCE METHODSPDF

Nigus Yibeltal

In this paper the finite difference approximation for hyperbolic partial differential equations was applied and both the explicit and implicit methods of finite difference approximations were discussed. As we have seen from the computation results, finite difference method of solving differential equations is mesh size dependent. That is the method of the accuracy increases when the mesh size is small enough. The computation result also indicates that, using implicit finite difference method to solve hyperbolic partial differential equations gives a better approximation than explicit finite difference approaches.

Seaweed Extract and Different Complete Fertilizer Rates on Zea mays Under MSU-Buug Soil and Climatic ConditionsPDF

Reybhoy A. Ramos, Abdani D. Bandera, Eva Mae M. Bantilan, Gemma C. Gulbe, Glefford E. Mangangot 

This study was conducted to determine the yield of Sweet Corn using different rates of Complete Fertilizer and Seaweed Extract under the prevailing soil and climatic conditions in Buug, Zamboanga Sibugay. The experimental area was laid out using Randomized Complete Block Design (RCBD) with nine combined treatments replicated three replications. An area of 324m2 excluding alley ways and canals was utilized in this study. Based on the findings of the study, there was no significant difference on the average length, average circumference, average weight and total number of corn ears per plot per treatment, however there is a highly significant difference on the total weight of corn ears using different rates of seaweed extract. For the different rates of complete fertilizer and on treatment combinations, there were no significant differences on the average length, average circumference, average weight, total weight and total number of corn ears per plot per treatment. Thus, the adoption of any rates of complete fertilizer and seaweed extract to obtain longer length, bigger circumference, heavier corn ears, and more number of corn ears is highly recommended.

Digital Transformation Leadership Consulting FrameworkPDF

Jibran Bashir, Sehrish Ilyas

Organizational leaders are now in unprecedented situations caused by a dynamic, unpredictable, difficult, and ambiguous climate, often known as the world of VUCA. Today, businesses are in an almost constant state of transition as they strive to keep up with emerging innovations (such as AI, Robotics, IoT, 3DP AR / VR, etc.), while simultaneously facing external factors such as a global epidemic (i.e. COVID-19) that drive the need for digital transformation. Firms must not only upgrade technology tools to be part of the 4th Industrial Revolution (4IR) and undergo effective digital transformation, but they must also undergo a company-wide change in mindset. Thus, Jibran Bashir Leadership Institute's Digital Transformation Leadership Consulting (DTLC) is a Jibran-5Ds Application solution designed to assist organizations in their impactful digital transformation, consists of Diagnose, Direction, Design, Develop and Deploy. The Digital Transformation Leadership Consulting (DTLC) framework is introduced and is easy for consultants to understand. The consultant will digitally transform the businesses in a processed manner by doing this. On the other hand, by taking a clear view of the aspects of technology, business, and individuals, organizations can be effectively modified. This white paper is contributing to the new futuristic approach to Digital Transformation Leadership Consulting. Keywords: Digital, Digitalization, Transformation, Leadership, Consulting

Application of Different Fertilizer Types and Levels on Vegetable Production: A Critical ReviewPDF

Sheila G. Griengo, Abdani D. Bandera, Alifahmie A. Magolama

The aim of this paper is to review the effects of organic compost, inorganic fertilizers, and foliar feeding to various vegetable crops. At present, increasing crop production for food security is a target worldwide. An approach to achieve this target relies on the types and levels of fertilizers’ application which will not affect the environmental sustainability and will boost growth and yield attributes. The use of organic compost and foliar fertilizer is an effective solution to achieve improved food production. Organic fertilizer helps sandy soils by increasing their water- and nutrient-holding capacity, stores nutrients but makes them more available for plant use, increases the CEC of the soil, provides C and energy source (food) to soil microbes, and improves soil aggregation. Moreover, Foliar fertilizer is also an alternative to improve food production and is reported by several scientists to help reduce environmental damage. So far, crop production fertilizer studies focused both on organic and inorganic types. Limited studies had been made comparing reactions of plants to solid and liquid fertilizers. This review found out that the primary concern in agriculture are sustainability, health impact of food production, and food security. Hence, the application of organic compost and foliar fertilizer may be an effective measure in the fulfilment of sustainable agriculture and food security.

Deregulation in Power System to Improve the Power Quality with Different Models FormulatedPDF

Ashirwad Dubey

The electricity power utilities in many countries have been, or are being, restructured. There are many reasons for restructuring. In some countries restructuring has been driven by the desire of government to meet increasing demands for electricity by encouraging independent power production, which relieves government of a financial obligation. In countries where ownership of assests are in private hands, restructuring has been driven by mergers and acquisitions, as companies seek to gain competitive advantage. In the most advanced countries, restructuring is being driven by the desire to allow consumers to choose their electricity supplier on the basis of price and service provided. These dramatic changes in the organization of electricity power utilities bring with them new challenges and opportunities, as the previous centrally designed and operated systems are dismantled and replaced by a new competitive framework. Companies operating in a competitive market need more sophisticated control and management systems to ensure that their business objectives can be achieved. The development and application of new technologies is also accelerated in this new environment, as companies seek to improve their effectiveness and efficiency. In this paper special considerations on power system deregulation are discussed. Main objectives of power system deregulation are to attract various investments to power industry in order to meet the fast growth of electric demand caused by blooming economy and in the meantime to reduce government commitment and functions in power industry. Only this way, the power industry, as a significant infrastructure, can realize sustainable development at high efficiency. It is also shown that in the market environment, how to realize optimal system planning and reliable operation at acceptable electricity prices with qualifies service and how to transit to the market environment smoothly at lowest costs and lowest risks should be considered thoroughly.

Exploiting Coverage, Coherence and Degree of Redundancy for An Extractive Multi-Document Summarization Mechanism *PDF

Asma M. El-Saied , Nada A.D.

Because of the expanding receptiveness about on the web information and the accessibility for many documents on the Internet, it becomes troublesome for a human to analyze and the review documents manually. This prompts trying the text mining strategies, automatic text summarization is one of the most significant text mining techniques. Many limitations are appeared in most of the current extractive multi-document summarization systems, such as low coherence among the summary sentences, low coverage, and high degree of redundancy. This paper provides an efficient framework for Automated Multi-Document Extractive Summarization (AM-DES).This framework introduce a new algorithm for measuring the Relatedness of the sentence. In addition to a new discrimina-tive sentence selection method relies on sentence scoring and removing the redundant ones. An extensive experimental evaluation is conducted on three real data sets DUC2005, DUC2006 and DUC2007, indicating the importance of the proposed framework. Exam-ining the effect of the proposed sentence Relatedness measure algorithm is provided to explore the effectiveness of the proposed AM-DES framework. The impact of this algorithm is shown by considering the semantic relations of the concept while calculating the se-mantic Relatedness. Evaluation metrics is used ROUGE-N, ROUGE_L as a case study and the results showed that the proposed AM-DES framework can result in a better summarization performance compared with the previous systems, where the generated sum-mary is characterized by high coverage and cohesion.