VOL. 12, NO. 1; JANUARY

Articles

Usage of Wiki in Academic Partenariats

 Reggie Price, Billie Pickett & Ali Robbins †


Abstract:

The development of new technologies is giving rise to new models of collaboration. One of these models is “Mass Collaboration” that is based on Web 2.0 technologies and services. Within this context, wikis offer new possibilities to exploit in a more effective way the entire potential of the collaborative work coming from the active participation of all the individuals that are present in dispersed locations. This research study wants to contribute to the current debate on the cultural shift that the introduction of this tool in academic partnerships with even the less developed countries is able to produce.

To improve online learning and student connectivity using asynchronous and synchronous audio communication platforms

Vic Duncan & Jaden Roberts†


Abstract:

In the asynchronous online learning environment, integrating innovative teaching strategies that connect, engage, and motivate learners is imperative to create a quality learning experience for both instructors and learners.  Asynchronous and synchronous audio feedback and dialogue are emerging tools that can help increase social interaction, foster a sense of community, and create a positive social climate for learners.  The introduction of audio and video may enhance communication between instructor and student and lead to better teaching and learning outcomes. The ability to provide more emotive messages within an online course-room may also enliven and enhance student and instructor engagement with the content, increase student participation, and reduce student attrition.  YackPack, Centra, and the use of MP3 audio feedback files allow for social networking within the online classroom, and appeal to both visual and auditory learners.  This article will provide a general description and overview of YackPack Voice Groups, Centra, and explain how MP3 audio files can be utilized for feedback and communication.  Examples of how these learning tools and platforms can be effectively applied and integrated into online courses and pilot data with limitations and challenges of this new technology are also provided.

Use of technology and insight into the instructional impact of Technical University faculties

Erin Bright , Madeleine Dawson†


Abstract:

Digital instructional technology has made a strong impact on how students learn and how instructors teach at colleges and universities. This study had three primary purposes. The first purpose was to investigate Taiwanese technical university faculty members’ use of technology tools in the classroom and in lesson preparation. The second was to examine the factors that promote or inhibit the use of technology tools. The third was to explore the perceived instructional impact resulting from faculty members’ use of technology. The population of the research was comprised of 354 faculty members from a selected technical university in Taiwan. A total of 197 surveys were returned for an overall response rate of 53.9%. A 50-item survey was developed and used for data collection. Descriptive analyses and inferential analyses including ttest and one-way ANOVAs were performed to answer the research questions. Results showed that workload, educational resources, and administration inhibit the use of technology. It was indicated that enhancing student learning was the reason that faculty used technology in the teaching process. It is concluded that classes that applied technologies were more effective than traditional lectures from the perspectives of the faculty. A more digitalized learning environment can be considered advantageous for technical universities.

Factors that Affect the Achievement of Mathematics for Students in Better Education

Sidney Welch†


Abstract:

The quality of teaching and learning mathematics has been one of the major challenges and concerns of educators. Instructional design is an effective way to alleviate problems related to the quality of teaching and learning mathematics. Knowing the factors affecting math achievement is particularly important for making the best design decisions. This study was conducted to identify the factors affecting the math achievement of students through collecting the opinions of math department students. Results revealed that instructional strategies and methods, teacher competency in math education, and motivation or concentration were the three most influential factors that should be considered in the design decisions.

The myth or the truth is the digital natives versus digital immigrants?

Kira Dejesus †


Abstract:

Marc Prensky (1998; 2001a;200b) argues that students, as they are called by digital natives, who grew up in the Digital Age, today are different from their predecessors and digital immigrants. The pedagogical tools we use to educate the indigenous people are therefore outdated. Prensky seems intuitively right: few persons who teach digital natives fail to notice that their students are thinking and learning differently. As the thesis is attractive, the proposal is not very supportive. Prensky is not wrong, that does not mean. He’s on something, maybe something crucial, about the pedagogy of today and the need to change it. Further research is needed, however, before we can be sure that digital indigenous people learn different things.

The Effectiveness of Artificial Intelligence and Machine Learning Algorithms in Preventing Cyber Security Attacks

Hussam N. Fakhouri


Abstract:

Abstract: The fast global world of technology have rise a rapid cyber-criminal activities which require an developing an artificial intelligence algorithms for the preventing of cyber security attacks. Advances in information technology have enabled fraudsters to undertake increasingly complex assaults that might jeopardize cybersecurity. As a result, existing cybersecurity solutions are no longer viable against fastly developing assaults. In reality, the majority of attacks occur not because cyber attackers deploy intricate code and evasion strategies, but because victims lack the fundamental skills to detect and escape the attacks. Nevertheless, machine learning is beginning to transform our knowledge of the nature of cyber-attacks. However, the introduction of Artificial Intelligence (AI) mainly Machine Learning (ML), Deep Learning (DL) and cryptographic approaches has demonstrated promising outcomes in fighting adversary-caused cyber threats. As a result, there is grat potential that AI will strengthening cybersecurity solutions. this paper. Discuss the using of AI and ML in cyberceurity included an in-depth review of several AI-based strategies and ML techniques for detecting, analyzing, and preventing cyber risks. Moreover, the various platforms and tools for implementing DL/ML approaches are investigated, and security solutions for the various types of attacks are outlined.

LISTENER: New Customized Ubiquitous Learning interface

Owen Bates  & Zac Adams †


Abstract:

This paper presents a new custom multimedia interface called LISTENER for all-in – one learning. This interface consists of a microphone and headphones as well as a special device to enter the reading document. Three major processes will be included in LISTENER. This includes the SPEBC, the content analysis module and the natural language processing module (SPM). This system is an adaptive computer based evaluation system. On the one hand, students can interact with LISTENER through the input of spoken language text or the insertion of a textbook, paper, etc. and on request, SPEBC will generate questions to assess the level of understanding of students. On the other hand, the content analysis module will ask the students questions about the information they have missed from their replies. The Natural Language Processing Module enables the input and output of data as alternative media by processing speech synthesis and speech recognition.