scholarly journals Expert Knowledge in Distance Learning Approaches

2013 ◽  
Author(s):  
Dipl Math ◽  
Dirk Malzahn
Keyword(s):  
Distance Learning ◽  
Expert Knowledge ◽  
Learning Approaches

scholarly journals THE ROLE OF PARENTS IN BOLO VILLAGE IN SUPPORTING DISTANCE LEARNING DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 4 (2) ◽  
pp. 69-75
Author(s):  
Ida Mawaddah ◽  
Zulhafriliya Zulhafriliya ◽  
Sudarsono Sudarsono
Keyword(s):  
Distance Learning ◽  
Junior High School ◽  
Healthy Lifestyle ◽  
Family Values ◽  
Learning Approaches ◽  
School Aged Children ◽  
Distant Learning ◽  
Role Of Parents ◽  
The Impact

The Indonesian government was concerned about the impact of a wider spread of Covid-19, so it moved quickly to break the chain of transmission by urging people to live a healthy lifestyle, avoid crowds, and keep a safe distance. As a result, the circumstance has a significant impact on education and learning. The goal of this study is to learn more about the role of parents in promoting distant learning and to identify the characteristics that encourage and limit distance learning in Bolo Village during the Covid-19 outbreak. Students are forced to study from home due to government regulations. Teachers can ensure students' learning activities in a variety of ways, one of which is by involving parents as the primary companion of students when they are at home. The participants in this study were parents and their junior high school-aged children. The information was gathered through organized interviews utilizing the researcher's prepared questions. The data in this study was analyzed utilizing qualitative data analysis approaches such as the Miles and Huberman model, which features a cycle that includes data reduction, data presentation, verification, and conclusion drafting. According to the findings of this study, parents in Bolo Village played four roles in supporting learning from home during the Covid-19 pandemic: 1) accompanying children in learning, 2) intense communication with children, 3) providing supervision to children, and 4) educating and supporting children motivation. The supporting variables discovered are: 1) responsibility, 2) family values, and 3) availability to satisfy the needs of children. There are also barriers, such as 1) internet network issues, 2) too much workload, and 3) boring and less diversified learning approaches.

Social or Group Learning Theories

2011 ◽  
pp. 1630-1633
Author(s):  
Gary A. Berg
Keyword(s):  
Distance Learning ◽  
Learning Process ◽  
Group Learning ◽  
Social Activity ◽  
Learning Theories ◽  
Learning Approaches ◽  
Self Reliance ◽  
Educational Environments ◽  
Computer Based ◽  
Learning Institutions

In both computer-based and traditional educational environments, there has been a growing organization of learning in groups with an increased use of teams and group projects (Berg, 2003). Goldman (1999) claims that traditionally education is seen as an activity of isolated thinkers pursuing truth in a spirit of American self-reliance. However, in practice education is very much a social activity, especially the research component that is heavily dependent on colleagues. In fact, some argue that the key to the learning process as a whole is the interaction among students, and between faculty and students (Palloff & Pratt, 1999). Group learning approaches have been widely adopted by many of the leading distance learning institutions, and consequently an understanding of this approach is important.

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples

2009 ◽  
Vol 13 (2) ◽  
pp. 115-127 ◽  
Author(s):  
Shahryar Rahnamayan ◽  
◽  
Hamid R. Tizhoosh ◽  
Magdy M.A. Salama ◽  
Keyword(s):  
Image Processing ◽  
Expert Knowledge ◽  
Patent Application ◽  
Ground Truth ◽  
Image Filtering ◽  
Target Object ◽  
Object Extraction ◽  
Learning Approaches ◽  
Training Samples ◽  
The Subject

Knowledge- and sample-based learning approaches play a pivotal role in image processing. However, the acquisition and integration of expert knowledge (for the former) and providing a sufficiently large number of training samples (for the latter) are generally hard to perform and time-consuming tasks. Hence, learning image processing tasks from a few gold/ground-truth samples, prepared by the user, is highly desirable. This paper demonstrates how the combination of an optimizer (e.g., genetic algorithm) and image processing tools (e.g., parameterized morphology operations) can be used to generate image processing procedures for image filtering and object extraction. For this purpose, the approach receives the original and the user-prepared image (filtered image or image with extracted target object) as a gold sample which reflects the user's expectations. After carrying out the training or optimization phase, the optimal procedure is generated and ready to be applied to new images. The feasibility of our approach is investigated for two individual image processing categories, namely filtering and object extraction, by well-prepared synthetic images. The proposed architecture and the employed methodologies are explained in detail. Experimental results are provided as well.The subject matter in this work is covered by a US provisional patent application.

scholarly journals Gather.town: An opportunity for self-paced learning in a synchronous, distance-learning environment

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Colin Derek McClure ◽  
Paul N Williams
Keyword(s):  
Data Analysis ◽  
Distance Learning ◽  
Teaching Experience ◽  
Learning Approaches ◽  
Learning Context ◽  
Online Systems ◽  
Face To Face ◽  
Key Skills ◽  
Limited Opportunity

The COVID-19 pandemic has forced Higher Education to adopt distance-learning approaches in traditionally face-to-face and practical-based fields such as the Health and Life sciences. Such an abrupt change to distance-learning contexts brings a variety of challenges to student learning communities, and ensuring key skills are effectively transferred. Chief among these is the limited opportunity students have to discuss their individual needs with their educators and peers in a synchronous manner. Proximity-based video-conferencing platforms such as gather.town can offer a unique opportunity for learners to interact with educators as well as pre-developed materials in a self-paced manner to tailor the teaching experience, and develop these relationships in a distance-learning context. In this case study the concepts of statistical analysis and the use of the data analysis software R is introduced to 38 University students using the online platform gather.town. With the use of private spaces, pre-recorded videos, and demonstrators, students are trained in both the concepts and practical skills to undertake data analysis in a self-paced manner. Both students and demonstrators provide their opinions on the effectiveness of the platform, and identify its benefits, preferring it to alternative online systems such as MS Teams for their educational sessions.

scholarly journals Motivations and Experiences in a Distance Learning-Based Degree Programme: A Case Study from a Community College

2021 ◽  
Vol 10 (2) ◽  
pp. 35
Author(s):  
Luis M. Dos Santos
Keyword(s):  
Community College ◽  
Distance Learning ◽  
Associate Degree ◽  
Teaching And Learning ◽  
Social Cognitive ◽  
Research Question ◽  
The United States ◽  
Learning Approaches ◽  
Degree Programme ◽  
Learning Behaviours

Due to the development of the technologically-assisted teaching and learning approaches and the change of learning behaviours of students, many students decided to start their education in a distance learning-based degree programme at a community college in the United States. Based on the lens of the Social Cognitive Career Theory, the researcher collected qualitative data from 46 traditional-aged students who are currently enrolled in a distance-learning degree programme at a community college. One research question was concerned, which was why would high school graduates (i.e. traditional-aged students) decide to enrol in a distance learning-based associate degree programme at a community college instead of a traditional senior university? The results indicated that financial considerations, and academic and career interests were the biggest concerns of these groups of participants. The outcomes of this study provided the human resources, curriculum development, and workforce plans for government agencies, policymakers, department heads, school leaders, and NGO leaders to reform their policy and regulation in order to absorb the advantages of these groups of future workforces.   Received: 29 November 2020 / Accepted: 25 January 2021 / Published: 5 March 2021

scholarly journals INTERROGATING THE CONCEPT ‘OPENNESS’ IN OPEN DISTANCE LEARNING (ODL)

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Cosmas Maphosa ◽  
Sithulisiwe Bhebhe
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Teaching And Learning ◽  
Relevant Literature ◽  
Learning Approaches ◽  
Entry Requirements ◽  
Open And Distance Learning

<p>Scholars in Open Distance Learning (ODL) often refer to distance education as ‘open’. The concept 'openness' on open and distance learning is very fluid and often misunderstood. It is the purpose of this desktop survey to review relevant literature and make interrogation of the concept 'openness'. We advance questions such as; How open is open and distance learning. In what aspects is ODL open and to what extent is the openness. We discuss openness concerning targeted potential students and entry requirements in ODL institutions, the openness of teaching, and learning approaches as well as openness concerning communication, the flexibility of curricula, and assessment. We conclude by answering whether or not ODL institutions are open as well as suggesting measures and ways of enhancing openness in ODL institutions.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0674/a.php" alt="Hit counter" /></p>

scholarly journals Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology

2019 ◽  
Vol 70 (2) ◽  
pp. 107-118 ◽  
Author(s):  
◽  
Jacob L. Jaremko ◽  
Marleine Azar ◽  
Rebecca Bromwich ◽  
Andrea Lum ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Data Privacy ◽  
Ethical Issues ◽  
Expert Knowledge ◽  
Disease Diagnosis ◽  
White Paper ◽  
Imaging Features ◽  
Learning Approaches ◽  
Treatment Optimization ◽  
Canadian Association

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically learn to recognize these features. However, the promise of accurate personalized medicine can only be fulfilled with access to large quantities of medical data from patients. This data could be used for purposes such as predicting disease, diagnosis, treatment optimization, and prognostication. Radiology is positioned to lead development and implementation of AI algorithms and to manage the associated ethical and legal challenges. This white paper from the Canadian Association of Radiologists provides a framework for study of the legal and ethical issues related to AI in medical imaging, related to patient data (privacy, confidentiality, ownership, and sharing); algorithms (levels of autonomy, liability, and jurisprudence); practice (best practices and current legal framework); and finally, opportunities in AI from the perspective of a universal health care system.

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