40 research outputs found
Evaluating Challenges of Using IOT Devices in Competency Based Curriculum
No full textThe education sector has benefited greatly with the adoption of information communication technology (ICT). The labor market is in need of competent and skilled labor force that graduates from training institutions. To achieve this objective, adoption of ICT has been encouraged by many proponents of ICT in education.
In the recent years, growth of smart devices and Internet of Things (IoT) technology has revolutionized how various sectors of economy consume and benefit from this technology. According to [21] IoT has a started to gain momentum in matters adoption in developing countries. As early as a kindergarten level a pupil is able to use a smart phone to learn basic level subject, while in institutions of higher learning students are using IoT to conduct research, attend lecture take examinations among other things. By introducing new communication avenues, this approach is giving students the abilities they need to succeed in the twenty-first century. IoT devices may be used in classrooms by both teachers and students to enhance the teaching and learning process.
This paper fills in this vacuum by identifying the IoT issues that are pertinent for students with the bounds of competency based learning.This project aims to solve this by adapting discovery learning methodologies while also identifying the challenges of such an adoption.This study addresses two issues one potential use of IoT in competency based curriculum and two Challenges attached to the use of IoT in competency based learning
Mobile interactive messaging system for patients’ in collaboration with health workers
No full textHealth issues in developing countries are becoming more serious day by day, as different
diseases attack and infect people making the public health sector overwhelmed. This has made it difficult
for health workers to accurately study the trend of different diseases in many cases, thus failing to
analyze the way patients behave after being diagnosed. The number of people who possess mobile
phones is increasing every year and this can help facilitate communication in different geographical
locations that may hinder movement of the health workers. The initiative to introduce the use of
interactive messaging system is for patients who wish to access health services such as doctoral
appointments and consultations or need monitoring but are faced by challenges like; the time needed to
make for appointments and consultations, patients monitoring and halving to travel for long distances to
reach the facility.
Therefore the researcher designed and prototyped a mobile interactive messaging system that
would enable patients to send their preliminary symptoms to the health workers in Kenyan public
hospitals via SMS through mobile phones. With regard to the wide spread usage of mobile telephony
today, the researcher chose to use the technology since she anticipated it would reach a large
population. An interactive messaging system for patients’ collaboration with health workers is a system
that uses mobile phone technology that enables communication between patients and health workers.
This system’ will serve both the new and continuing patients. The health workers will monitor the
progress of continuing patients, while the new patients send their preliminary symptoms to the health
workers via SMS. All this information is stored in database residing at the health facility, which will serve
as a reference point to the health workers as they respond to the messages received and patients will be
able to effectively collaborate with the health workers without necessarily having to visit health facility
A MODEL FOR DETECTING INFORMATION TECHNOLOGY INFRASTRUCTURE POLICY VIOLATIONS IN A CLOUD ENVIRONMENT
No full textFULL TEXTThe pervasiveness of the internet and available connectivity solutions brought about by cloud computing has led to an unprecedented increase in technologies built based on information technology infrastructures. This has improved the number of cloud users and substantially increasing the number of incidents related to the security of infrastructure and data in the recent past. Most organizations consider the deployment of different types of protection systems to curb various malicious activities. Organizations offer sophisticated monitoring and reporting capabilities to identify attacks against the cloud environment. Users with ill intentions have increasingly used the cloud as an attack vector due to its ubiquity, scalability and open nature despite the existence of policy violation detection systems necessitating the need to strengthen access policies from time to time. Policy violation detection plays a major role in information security by providing a systematic way of detection and interpreting attacks. Some of the known weaknesses of most detection tools are the generation of false positives or false alerts and the inability to perform analysis if traffic is encrypted as well as failure to detect and prevent attacks. This research was therefore concerned with the investigation of weaknesses of firewall and Intrusion Detection Systems (IDS) which are supported by the cloud. The information was then used to build and experiment on an improved model of a policy violation detection system. Experiments revealed the weakness in existing systems specifically IDS and firewalls. Unlike the existing systems, a new model designed to overcome the shortfall was able to detect both recognized and unrecognized attacks and signatures. Moreover, the model is capable of preventing the occurrence of false positives and terminates suspicious nodes in real time without human intervention. An additional area of application such as movement from data from one cloud to another is not achievable, because of the mixed environment of the cloud. This is a potential area for investigation in the future
Faculty Professional Development for Online Teaching
No full textFaculty professional development (PD) is always necessary and is essential in developing educational quality forces because faculty directly impact reforming educational quality. To address some of the gaps identified regarding a lack of understanding of the core design components making a successful PD program, examining the application during the PD, a need for diversifying research designs in exploring PD with different approaches, and measuring PD’s influence on the application of knowledge gained during PD and student learning, the purpose of this single case study is to explore a university instructor’s perception and experience of online facilitation strategies learned through PD for online teaching. In this study, I used a one-on-one consultation model to deliver the PD program to one university instructor, focusing on online facilitation strategies for online teaching. Using a qualitative case study, one university instructor was invited to participate in the PD program to investigate his perception and experience related to applying the online facilitation strategies to his online course. Through the interviews, observations, meeting reflections, and other archival data, the findings indicated that the instructor’s perception changed and remained unchanged regarding using online facilitation strategies for his online course. The research findings demonstrated that the participant effectively applied some of the online facilitation strategies learned from the PD to enhance his teaching and learning activities. Moreover, the findings provided supporting evidence that the instructor identified challenges and barriers when applying online facilitation strategies in his course. Finally, the research findings highlighted the effectiveness of the PD program on student learning experience, outcomes, and satisfaction. These research findings contributed to the knowledge base related to the faculty’s perception and experience of the PD program, focusing on the online facilitation strategies for online teaching. The research results also provided the best practice for applying online facilitation strategies to enhance instruction success, student learning experience, outcomes, and satisfaction. The effectiveness and success of the PD in this study contributed to helping future program leaders modify their policies and regulations to consider PD activities as requirements for the faculty along with teaching, research, and services.Embargo status: Restricted until 06/2025. To request the author grant access, click on the PDF link to the left
Evaluation of mechanisms that enable self- protection on policy violation in cloud Infrastructure
No full textFULL TEXTCloud computing is an emerging paradigm that involves all the basic components of computing
such as end-user machines (PCs), communication networks, access management systems and
cloud infrastructures. According to Gartner, while the hype grew exponentially during 2008 and
continued since, it is clear that there is a major shift towards the cloud computing model and that
the benefits may be substantial (Gartner Hype-Cycle, 2012). However, as the shape of the cloud
computing is emerging and developing rapidly both theoretically and in reality, the cloud
security, data and cloud infrastructure and privacy issues still pose significant challenges. It still
lacks mechanism to enable itself from policy violation.In this work, we describe various
mechanisms that would enable self-protection on policy violation in cloud infrastructure. In
particular, we discuss five critical mechanisms: IDS, Cyberoam, Federated Identity Management
System, firewall and honeypot. Some solutions to mitigate these attacks on these mechanisms are
also proposed along with a brief presentation on the future trends in cloud
computingdeployment. Finally we evaluate these mechanisms based on the data collected from
users in case they know how to protect their data in cloud environment.National Research Fun
An Architecture for Detecting Information Technology Infrastructure Policy Violations in a Cloud Environment
No full textFULL TEXTOrganizations are increasingly becoming aware of the business value that cloud computing
brings and are taking steps towards transition to the cloud. Just like any other technology it
brings new security threats and challenges. A smooth transition entails a thorough understanding
of the benefits as well as challenges involved. Privacy is a concern that has risen as obstacle to
widespread adoption of clouds by users. Many organizations consider the deployment of
different types of protection systems to curb the various malicious activities. The systems can
offer sophisticated monitoring and reporting capabilities to identify attacks against cloud
environment, while stopping multiple classes of attacks before they are successful against a
network. Despite the use of protection systems to detect any malicious activities, some users still
find ways to violate some of the laid down IT infrastructure Acceptable Use Policies. While
many cloud security research focus on enforcing standard access control policies typical of
centralized systems, such policies have often proved inadequate. For this reason, an architecture
has been developed to automatically detect IT infrastructure policy violation in a cloud
environment The implication of this research is that institutions would regain their trust in this
paradigm and consider implementing policies in their clouds. Since policy violation is one of the
major hindrances to the implementation of cloud computing, the policy violation detection
architecture could be employed by institutions to ensure data security in cloud environment. The
architecture uses software agents as its core components to collect evidence across cloud
environment. The architecture captures any policy violation in the cloud environment when
using any IT infrastructure. Therefore we discuss the policy violation detection architecture and
present our findings in this paper.National Research Fun
EXAMINING GRADUATE STUDENTS’ COLLEGE TEACHING SELF-EFFICACY BELIEFS
No full textEffective teaching in college classrooms increases its importance over time. Graduate students and graduate teaching assistants are one of the important components of the undergraduate instruction. Therefore, their roles and their beliefs in teaching are substantial for them to teach in undergraduate classrooms. The literature search pointed out the existence of a gap in research in graduate students and graduate teaching assistants’ college teaching self-efficacy (CTSE) beliefs, specifically the graduate students across all disciplines. In this respect, the purpose of this correlational study is to examine the academic and demographic variables (graduate students’ teaching experience, number of different college-level courses graduate students taught, taking a college teaching course and participating in a professional development training) that predict graduate students’ CTSE beliefs. Bandura’s Social Cognitive Theory was used as a theoretical framework of the study. Academic and Demographic Background Questionnaire and CTSE scale were used to gather the information from participants. The statistical tests utilized were descriptive statistics, Cronbach’s Alpha, t-tests, Pearson’s correlation, and standard multiple regression. Results indicated that there is a significant difference in instructional planning scores between two groups who have had teaching experience and who have not. Also, positive correlations were found between the number of different college-level courses graduate students taught and their instructional planning self-efficacy beliefs, the number of different college-level courses taught and instructional delivery self- efficacy beliefs. Finally, only the number of different college-level courses taught was
a significant predictor of instructional planning self-efficacy beliefs.Embargo status: Restricted until 01/2023. To request the author grant access, click on the PDF link to the left
Beyond race: Colorism and the experiences of school psychologists of color
No full textAs the student population of the United States becomes more and more diverse, the amount of diversity within the field of education has lagged resulting in a racially homogeneous teaching workforce that does not reflect the students served (McGrady & Reynolds, 2016; National Center for Education Statistics, 2019). While efforts have been made to incorporate culturally responsive educational practices in public education, the fact remains that students from historically minoritized and marginalized backgrounds continue to face disparities that often lead to poor academic outcomes which can have far-reaching effects beyond elementary, middle, and high school (NCES, 2019). Teachers may very well lack competency in working with students from historically minoritized and marginalized backgrounds and look to school psychologists for support and consultation. School psychologists, however, may also lack competency in working with historically minoritized and marginalized students, especially since the field of school psychology is even more homogeneous when compared to the general teaching workforce (Goforth, et al., 2020). Additionally, while school psychologists of color may feel better equipped and more confident in serving historically minoritized and marginalized students, their competency and confidence, and thereby their self-efficacy, may be undermined, especially if they experience racial stressors, such as discrimination and microaggressions. This study examines the extent to which school psychologists of color experience racial stressors and the extent to which racial stressors impact the career self-efficacy of school psychologists of color.Embargo status: Restricted until 09/2027. To request the author grant access, click on the PDF link to the left
