Online Instructional Consultation (OICON) Model for Higher Education Institution

The purpose of this research is to solve the problems of the existing telementoring program which are (a) the miscommunication due to lack of nonverbal cues, (b) the need or competency in written communication and technical skills, and (c) the issue regarding recording, retrieving, and playback of consultation recorded document. The main objective of this research is to develop an appropriate online consultation model for higher education institution. The specific objectives of this research are to identify suitable multimedia components to be implemented in the online instructional consultation (OICon) model, to develop a prototype, and to test and evaluate the acceptance of online instructional consultation (OICon) prototype by students and lecturers in higher education institution. OICon model was established based on the identification of multimedia communications components and features that were adapted and adopted from the existing online financial consultation, tele-medicine consultation model as well as major e-consultation components for public policy consultation. In addition, recommendations from the IT and Educationist experts were also taken into consideration. This model was then transformed into a prototype and tested on 40 students and 8 lecturers. Eleven hypotheses are derived from 7 factors of TAM with actual system variable excluded. The hypotheses relationships among these 4 factors (Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude, Behavioural Intention (BI) are supported except that PEOU does not have positive relationship with attitude as predicted. Perceived Importance of Communication Components and Features have positive relationship with PEOU. Users are relatively positive towards the implementation of multimedia communication tools for consultation in higher education institution. Users perceived the communication components as important if the components are easy to use. They agreed that they will use the OICon prototype in the future in term of PU and Attitude

Optimizing Energy Prediction in Smart Home Area Networks and Buildings Using Artificial Neural Networks and Machine Learning Techniques

Smart home area networks (HANs) and buildings have become increasingly popular in recent years, with the integration of various smart devices into these networks. However, managing energy consumption in these networks is a major challenge. In this paper, we propose a hybrid artificial neural network-based energy prediction model to predict energy consumption of smart devices in HANs and smart buildings. Our proposed model utilizes a combination of artificial neural networks (ANNs) and machine learning (ML) techniques to predict energy consumption in smart HANs and buildings. The ANN component of the model is used to model the complex relationships between different variables, while the ML component is used to improve the accuracy of the predictions. To evaluate the performance of our proposed model, we collected data from a smart building and a smart HAN. Our results show that the proposed model outperforms traditional prediction methods, with an average prediction error of less than 3%. The proposed model can be used to optimize energy consumption in smart HANs and buildings, by providing accurate predictions of energy consumption. This can help to reduce energy costs and improve the overall energy efficiency of these networks. Additionally, the proposed model can be easily adapted to other types of smart networks, such as smart cities and industrial networks

Early Detection and Diagnosis of Chronic Kidney and Breast Cancer Using Multi-level Machine Learning: A Hybrid Prediction Model

In this study, a multilevel machine learning approach is proposed for the early detection and diagnosis of chronic kidney disease (CKD) and breast cancer. The proposed hybrid prediction model uses a combination of supervised and unsupervised machine learning techniques, including Long Short-Term Memory (LSTM) and random forest algorithms, to improve the early detection and diagnosis of these diseases. The model also includes a feature selection process to extract the most relevant features from the data. The performance of the proposed model was evaluated on a dataset of patient information and compared with other machine learning models and traditional diagnostic methods. The results show that the proposed model outperforms traditional diagnostic methods and other machine learning models in terms of accuracy, sensitivity, and specificity in the early detection and diagnosis of CKD and breast cancer. The proposed multilevel machine learning approach provides an effective way to improve the early detection and diagnosis of CKD and breast cancer and has the potential to be used in clinical practice to improve patient outcomes

Online instructional consultation for higher education institutions in Malaysia: The system architecture

Evolution of communication technologies at present gives impetus to researchers and practitioners by simply put the computer-mediated communication tools on their telementoring application without really understand its potential benefits. This causes several issues and challenges confronting existing telementoring program which are: (a) miscommunication due to lack of nonverbal cues, (b) the need of competency in written communication and technical skills, and (c) document recording, retrieving and reviewing. Thus, in this paper, the focus is the design and development of Online Instructional Consultation (OICon) system for student and lecturers of higher education institutions. Hybrid modes of synchronous and asynchronous communication that provide nonverbal and verbal cues are incorporated in Online Instructional Consultation (OICon) system to compensate the identified issues and challenges. We also focus on recording, retrieving and reviewing of recorded consultation document and management is also emphasized.The multimedia communication components from e-consultation model of financial and telemedicine context are adapted. The general structure, modules of OICON system, multimedia communication components, and communication server are illustrated and the potential benefits of OICon system are presented

Enhancing multimedia communication components in instructional consulting service online: Students' perspective and perception

Online consultation - one of the advancement of communication technology in consulting service is conducted electronically in various contexts such as online medical consultation, IT consulting and online financial service consultation. It enables participants communicate in synchronous and asynchronous way [1]. However,implementation of this technology in instructional consultation in higher education is not fully integrated. This may due to lack of investigation, analyzing and proper strategy planning on problem encountered by students and lecturer. This paper discuss about the limitations of typical instructional consultation and students’ perspective and perception on conducting consulting service online.The potential benefits of communication components for students in higher education are determined by investigate their perceptions and perspectives on implementation of communication technology for online instructional consultation.The limitations of typical instructional consultation that elicited from literature review are included in this quantitative research study in order to investigate precisely students’ response pertaining to instructional consulting service in higher education. Data was solicited from a sample of 130 students in College of Arts and Science (CAS), College of Business (COB) and College of Law, Government and International Studies (COLGIS) in Universiti Utara Malaysia (UUM) via simple random sampling method.Student’s response to five point Likert-type scale anchored by the terms Strongly Disagree (1) to Strongly Agree (5), Not Important (1) to Extremely Important (5) and Never (1) to Very Often (5). The finding of the research revealed that students were generally positive about potential of multimedia communication tools for traditional consultation system in higher education organization

Online Instructional Consultation (OICon) Model for Higher Education Institution (HEIs)

AbstractVirtual discussion between students and lecturers nowadays become easier and effective by using computer-mediated communication (CMC) tools. The issue on geographical distance is no longer a problem but there are some aspects that need attention, such as the consultation documentation, record log and the ability to see the records of these virtual relationships. Most current virtual communications software is focused on the communication and less on the process of before and after the virtual communication. In order to enhance the virtual communication process, we have designed and developed an Online Instructional Consultation (OICon) model to facilitate student-lecturer consultation for higher education mentor-mentee system in Malaysia. The model consists of 5 interrelated domains that are personalization, consultation processes and task involved, features and multimedia components, consultation content and consultation document. It provides alternative means on delivery of the contents and services as well as provides participants a range of option. By this way, students and lecturer can involve actively through online consultation at remote places, not just between lecturer and students but also on post-session discussion among peers. Point of correspondence includes implementation of CMC tools to facilitate online consultation processes for academic advisory purpose. OICon model was then transformed into a prototype system to verify the model. Based on the evaluation conducted, we found that users are relatively positive towards implementation of multimedia communication tools for consultation in higher education and they agreed that the OICon model is crucial for enhance and promote interactivity for consultation among students and lecturers

The Impacts of the use of Thematic & Chronologic Multi-modal Information Representation on Sequential and Global Students’ Historical Understanding

- The purpose of this study was to assess the effects of multimodal information presentation on sequential and global learners' historical understanding: theme and chronological. There were 134 secondary school learners enrolled (69 learning in chronological mode, 65 learning in thematic mode). Prior to the start of the treatment session, learners took a pre-test. The findings indicated that multimodal information presentation had no distinct effect on historical understanding between learners who learn chronologically and those who learn thematically. It was claimed that the chronological frame of reference technique, which resembled an interactive timeline, aided learners' sequential learning in chronological mode. On the other hand, learners who learnt in a theme method made bigger increases in historical understanding than learners who learned in a chronological mode. Learners who demonstrated a significant difference in their assessment of historical understanding demonstrated the efficacy of multimedia information presentation in the acquisition of abstract historical concept