Raafat Saade | Beijing Institute of Technology (original) (raw)

Papers by Raafat Saade

Informing Science and IT Education Conference, 2010

Informing Science and IT Education Conference, 2009

International Journal of Service Science, Management, Engineering, and Technology, 2011

Journal of information, information technology, and organizations, 2009

Lecture notes in business information processing, 2012

Negotiation is a powerful mechanism for facilitating effective economic exchanges. Electronic neg... more Negotiation is a powerful mechanism for facilitating effective economic exchanges. Electronic negotiations allow participants to negotiate online and use analytical support tools in making their decisions. Software agents offer the possibility of automating negotiation process using these tools. This paper aims at investigating the prospects of agent-to-human negotiations in B2C contexts using experiments with human subjects. Various types of agents have been configured and paired up with human counterparts for negotiating product sale. The paper discusses the results obtained both in terms of objective, as well as subjective measures.

Electronic Commerce Research and Applications, Nov 1, 2017

2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)

Learning analytics is receiving a growing attention from both machine learning and education comm... more Learning analytics is receiving a growing attention from both machine learning and education communities, where support vector machines (SVM) are gaining popularity over existing data mining techniques. In the scope of this work, we employ SVM to predict student success in mathematics course in Portugal under two common nonlinear kernel functions: polynomial and radial basis function kernel. In addition, we employ the k-nearest-neighbor (kNN) algorithm as a reference model since it is known to be fast and effective in various classification problems. Furthermore, we adopt the Bayesian optimization (BO) technique in a cross-validation framework to optimize SVM key parameters; namely, the slack parameter and penalty coefficient. The obtained experimental results show that the SVM outperform k-nearest-neighbor algorithm under both nonlinear kernel functions. Additionally, processing time associated with SVM optimization process increases with polynomial order. Furthermore, the SVM trained with third-order polynomial kernel performs the best. Finally, k-nearest-neighbor algorithm is found to be faster compared to all SVM classifiers.

While computers are known to facilitate lower levels of learning, such as rote memorization of fa... more While computers are known to facilitate lower levels of learning, such as rote memorization of facts, measurable through electronically administered and graded multiple-choice questions, yes/no, and true/false answers, the imparting and measurement of higher-level cognitive skills is more vexing. These require more open-ended delivery and answers, and may be more problematic in an entirely virtual environment, notwithstanding the advances in technologies such as wikis, blogs, discussion boards, etc. As with the integration of all technology, merit is based more on the instructional design of the course than on the technology employed in, and of, itself. With this in mind, this study examined the perceptions of online students in an introductory Computer Information Systems course regarding the fostering of various higher-order thinking and team-building skills as a result of the activities, resources and technologies (ART) used in the course.

J. Inf. Syst. Educ., 2004

Advances in computer technologies have made it possible to develop computer-aided learning tools ... more Advances in computer technologies have made it possible to develop computer-aided learning tools for enhanced learning. Today, most researchers in the field of educational technology seem to be preoccupied with either the development of Artificial Intelligence applications or the representation of various learning theories such as constructivism by a computer program. The enthusiasm to develop technologically advanced learning tools resulted in technologies with limited application. The need to develop simple computer-based tools to assist instruction and demonstrate its effectiveness to enhance learning is paramount. Moreover, those tools need to be designed and integrated into a pedagogical framework. As a result, the instructor transforms into a content facilitator with altered needs. This paper presents the design and use of an interactive computer-aided learning tool for enhanced learning. Two participant groups were randomly selected. One group was allowed to use the interacti...

2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), 2020

Cryptocurrencies are digital assets gaining popularity and generating huge transactions on electr... more Cryptocurrencies are digital assets gaining popularity and generating huge transactions on electronic platforms. We develop an ensemble predictive system based on artificial neural networks to forecast Bitcoin daily trading volume level. Indeed, although ensemble forecasts are increasingly employed in various forecasting tasks, developing an intelligent predictive system for Bitcoin trading volume based on ensemble forecasts has not been addressed yet. Ensemble Bitcoin trading volume are forecasted using two specific artificial neural networks; namely, radial basis function neural networks (RBFNN) and generalized regression neural networks (GRNN). They are adopted to respectively capture local and general patterns in Bitcoin trading volume data. Finally, the feedforward artificial neural network (FFNN) is implemented to generate Bitcoin final trading volume after having aggregated the forecasts from RBFNN and GRNN. In this regard, FFNN is executed to merge local and global forecasts in a nonlinear framework. Overall, our proposed ensemble predictive system reduced the forecasting errors by 18.81% and 62.86% when compared to its components RBFNN and GRNN, respectively. In addition, the ensemble system reduced the forecasting error by 90.49% when compared to a single FFNN used as a basic reference model. Thus, the empirical outcomes show that our proposed ensemble predictive model allows achieving an improvement in terms of forecasting. Regarding the practical results of this work, while being fast, applying the artificial neural networks to develop an ensemble predictive system to forecast Bitcoin daily trading volume is recommended to apply for addressing simultaneously local and global patterns used to characterize Bitcoin trading data. We conclude that the proposed artificial neural networks ensemble forecasting model is easy to implement and efficient for Bitcoin daily volume forecasting.

Online Learning, 2019

This study investigates perceived ease of use and overall computer/internet experience as emotion... more This study investigates perceived ease of use and overall computer/internet experience as emotional factors that affect e-learning. Results suggest that online learning systems design should address typical software interfaces so that students feel more comfortable using them.

Issues in Informing Science and Information Technology, 2019

Aim/Purpose: To understand readiness of students for learning in online environments across diffe... more Aim/Purpose: To understand readiness of students for learning in online environments across different age groups. Background: Online learners today are diverse in age due to increasing adult/mature students who continue their higher education while they are working. Understanding the influence of the learners’ age on their online learning experience is limited. Methodology: A survey methodology approach was followed. A sample of one thousand nine hundred and twenty surveys were used. Correlation analysis was performed. Contribution: The study contributes by adding to the limited body of knowledge in this area and adds to the dimensions of the Online Learning Readiness Survey additional dimensions such as usefulness, tendency, anxiety, and attitudes. Findings: Older students have more confidence than younger ones in computer proficiency and learning skills. They are more motivated, show better attitudes and are less anxious. Recommendations for Practitioners: Practitioners should con...

EDULEARN16 Proceedings, 2016

Sustainability

Overall, climate concerns have been on the global agenda for many years now. However, the aviatio... more Overall, climate concerns have been on the global agenda for many years now. However, the aviation sector’s impact on climate change has been receiving increased attention recently. This is primarily due to the adoption of the 2016 carbon offsetting and reduction scheme for international civil aviation (CORSIA) which was introduced by the international civil aviation organization (ICAO). The aims of our study are to analyze ICAO’s carbon offsetting reduction scheme through the lens of the triple bottom line (TBL) value creation dimensions and to explore implementation issues relevant to its success and alignment between regulatory and commercial capabilities. Findings from our analysis were presented to a pilot focus group to further our understanding of the area. After cross-examination of the carbon emission reduction implementation issues against the TBL dimensions, we show the gap between regulatory schemes and the realities of the sustainable commercial aviation sector to meet ...

Administrative Sciences

In this study, we present a strategic change theoretical model and empirically validate it in the... more In this study, we present a strategic change theoretical model and empirically validate it in the context of inter-governmental organizations. We followed a survey methodology approach and tested our model hypotheses using exploratory and confirmatory factor analysis. Traditional strategic management models were created primarily with the private sector in mind. Therefore, validation of the model constructs for their appropriateness to the present construct is essential, especially that these types of organizations, such as those of the United Nations agencies, face major challenges when it comes to change. We found significant re-groupings of items, leading to the necessity to reformulate the constructs, as the context of our study is significantly different. We found that institutional pressures have a significant influence on strategic change and were mediated by strategic formulation. We also found that strategic pressures did not have any influence on strategic intent. Our rese...

InSITE Conference, 2017

Aim/Purpose: Using United Nations as the backdrop, this article present a theory-based conceptual... more Aim/Purpose: Using United Nations as the backdrop, this article present a theory-based conceptual model. The results of this empirical study also identify the most influence factors to the success of change management to the United Nations. Background: In 2000, the issue of management reform started taking center stage in the United Nations, and change efforts were presented to various governing bodies regularly as an indicator of organizational performance. However, existing change theories put many efforts on addressing the institutional management and behavior problems. Only a few answered the phenomenon existing in the U.N. context. Methodology: Using the data collected from seven United Nations organizations, we assess the psychometric properties of validated survey items, followed by EFA and then CFA. Contribution: Change management in the United Nations context is rarely being studied. Fifteen items in five constructs describing impact factors for current change process in th...

Proceedings of the 2013 InSITE Conference, 2013

Proceedings of the 2016 InSITE Conference, 2016

In this study we combine an immersive learning environment, an evidence based management method a... more In this study we combine an immersive learning environment, an evidence based management method and the knowledge management SECI mindset to investigate students’ learning from scientific journal articles. The study entailed the use of a web-based peer to peer system (P2PS) that, gives an identified subject matter, engages students in extracting knowledge from a source, processes that knowledge to create new knowledge, assesses each other’s works, and then creates a test on the subject matter. We found that the immersive learning environment engaged students and improved their examination performance. However, comparing two groups, exposed versus not exposed to scientific journal article, both focused on keywords alone for the knowledge processing. This was not a desirable outcome from the knowledge management process and the tool. We believe this outcome is a result of engrained traditional learning and driven by our wish to make a change in educational practice, we propose our e-p...

Journal of Information Technology Education: Research, 2009