An Analysis about Attitudes Towards the Changes in Online Tutorials from the Perspective of Teachers

This study aims to explore the teachers’ attitudes towards changes in online tutorials and what changes they will adapt to these challenges for achieving long-term development. In this study, the data collected is quantitative and use a questionnaire to collect related information from 117 samples. Through the investigation and analysis of teachers’ attitudes about the changes in online tutorials, the following two conclusions are mainly drawn. Initially, majority of teachers has recognized attitudes towards the teaching methods, course content and teaching effects of existing online tutorials, and is willing to accept the changes in online tutorials. At the same time, the age (teaching age) and experience in online tutorials are also important factors that have an impact on teachers’ attitudes towards changes in teaching methods and course content. Secondly, teachers’ attitudes towards existing online tutorials can also impact on teachers’ recognition and behavioral intentions of changes in online tutorials. Teachers, on the whole, are in favor of changes in the design and content of online tutorial courses, which implies that the curriculum will be more student-centered and high-quality. These two findings support the validity of the research hypothesis. Furthermore, the research suggests that teachers take advantage of the opportunity to develop their teaching abilities, overcome their fear of challenges, embrace change, and ensure technical support, based on the literature and research. However, in order to gain a better grasp of this topic in the future, more in-depth research will be required. In summary, this research has both theoretical and practical significance.

snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data

Quality control of genomic data is an essential but complicated multi-step procedure, often requiring separate installation and expert familiarity with a combination of different bioinformatics tools. Software incompatibilities, and inconsistencies across computing environments, are recurrent challenges, leading to poor reproducibility. Existing semi-automated or automated solutions lack comprehensive quality checks, flexible workflow architecture, and user control. To address these challenges, we have developed snpQT: a scalable, stand-alone software pipeline using nextflow and BioContainers, for comprehensive, reproducible and interactive quality control of human genomic data. snpQT offers some 36 discrete quality filters or correction steps in a complete standardised pipeline, producing graphical reports to demonstrate the state of data before and after each quality control procedure. This includes human genome build conversion, population stratification against data from the 1,000 Genomes Project, automated population outlier removal, and built-in imputation with its own pre- and post- quality controls. Common input formats are used, and a synthetic dataset and comprehensive online tutorial are provided for testing, educational purposes, and demonstration. The snpQT pipeline is designed to run with minimal user input and coding experience; quality control steps are implemented with numerous user-modifiable thresholds, and workflows can be flexibly combined in custom combinations. snpQT is open source and freely available at https://github.com/nebfield/snpQT. A comprehensive online tutorial and installation guide is provided through to GWAS (https://snpqt.readthedocs.io/en/latest/), introducing snpQT using a synthetic demonstration dataset and a real-world Amyotrophic Lateral Sclerosis SNP-array dataset.

Comparison of University and School Tutorial Teaching

In the Spring term of 2021, I performed two online tutorial-based teaching roles. One was with groups of second year university Statistics students; the other was with groups of Year 11 GCSE Mathematics students. In this essay I aim to compare those experiences and draw out some learnings for PGR teaching practice.

Adaptasi Model Pembelajaran Tutorial Online UT pada Masa Pembelajaran Darurat Covid-19

The Covid-19 outbreak today changes a lot in the way teaching and learning progress in Indonesia. In most parts of the country, teachers still use the traditional ways to transfer knowledge from the collaboration of the conventional means of learning such as textbooks, boards, and situated in a classroom. In this pandemic situation, Government proposes that all teaching and learning activities in the schools should be conducted online. It makes stakeholders of education sectors, especially primary and secondary, manage learning strategies and systems. Based on the situation, Universitas Terbuka as the pioneer of open learning system has one program to facilitate students come from different places all around. It has an online tutorial where students can access material not only from the textbook but also supplementary materials such as teacher’s tutorial video, online tasks and exercises, and also online assessment. This kind of system can be adapted for traditional schools in the Pandemic era so that learning loss will not happen since students and teachers can still get connected to achieve learning goals. This article describes how the online tutorial UT can be implemented for primary, secondary, and even higher education in the Pandemic era to replace the traditional learning systems.

FACTORS AFFECTING LOW ACADEMIC ACHIEVEMENT OF OPEN UNIVERSITY'S STUDENTS IN INDONESIA

This research aims to analyze the factors that cause low student academic achievement. To achieve these objectives, this research used a survey design to collect data from respondents. Before the research, the researchers conducted a pre-survey interview technique to several respondents in order to obtain information to formulate a construct that will be analyzed as well as to determine the research instruments. This research was conducted in regional office Denpasar with students from Non-Pendas Program with low academic achievement as the respondents. There were 71 respondents with a response rate of 92.5%. Based on these results, there are some important things that can be concluded: Lack of motivation, lack of study time and no teaching materials are factors which lead to low academic achievement with low impact.Not following the online tutorial, not forming a study group, lack of test preparation and lack of enrichment of the materials are factors which lead to low academic achievement with quite high impact.Not supportive learning situation and the lack of study planning are the factors that lead to low academic achievement with low impact.

snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data

Quality control of genomic data is an essential but complicated multi-step procedure, often requiring separate installation and expert familiarity with a combination of different bioinformatics tools. Dependency hell and reproducibility are recurrent challenges. Existing semi-automated or automated solutions lack comprehensive quality checks, flexible workflow architecture, and user control. To address these challenges, we have developed snpQT: a scalable, stand-alone software pipeline using nextflow and BioContainers, for comprehensive, reproducible and interactive quality control of human genomic data. snpQT offers some 36 discrete quality filters or correction steps in a complete standardised pipeline, producing graphical reports to demonstrate the state of data before and after each quality control procedure. This includes human genome build conversion, population stratification against data from the 1,000 Genomes Project, automated population outlier removal, and built-in imputation with its own pre- and post- quality controls. Common input formats are used, and a synthetic dataset and comprehensive online tutorial are provided for testing, educational purposes, and demonstration. The snpQT pipeline is designed to run with minimal user input and coding experience; quality control steps are implemented with default thresholds which can be modified by the user, and workflows can be flexibly combined in custom combinations. snpQT is open source and freely available at https://github.com/nebfield/snpQT. A comprehensive online tutorial and installation guide is provided through to GWAS (https://snpqt.readthedocs.io/en/latest/), introducing snpQT using a synthetic demonstration dataset and a real-world Amyotrophic Lateral Sclerosis SNP-array dataset.

Using a brief web-based 5A intervention to improve weight management in primary care: results of a cluster-randomized controlled trial

Background The primary health care setting is considered a major starting point in successful obesity management. However, research indicates insufficient quality of weight counseling in primary care. Aim of the present study was to implement and evaluate a 5A online tutorial aimed at improving weight management and provider-patient-interaction in primary health care. The online tutorial is a stand-alone low-threshold minimal e-health intervention for general practitioners based on the 5As guidance for obesity management by the Canadian Obesity Network. Methods In a cluster-randomized controlled trial, 50 primary care practices included 160 patients aged 18 to 60 years with obesity (BMI ≥ 30). The intervention practices had continuous access to the 5A online tutorial for the general practitioner. Patients of control practices were treated as usual. Primary outcome was the patients’ perspective of the doctor-patient-interaction regarding obesity management, assessed with the Patient Assessment of Chronic Illness Care before and after (6/12 months) the training. Treatment effects over time (intention-to-treat) were evaluated using mixed-effects linear regression models. Results More than half of the physicians (57%) wished for more training offers on obesity counseling. The 5A online tutorial was completed by 76% of the physicians in the intervention practices. Results of the mixed-effects regression analysis showed no treatment effect at 6 months and 12 months’ follow-up for the PACIC 5A sum score. Patients with obesity in the intervention group scored lower on self-stigma and readiness for weight management compared to participants in the control group at 6 months’ follow-up. However, there were no significant group differences for weight, quality of life, readiness to engage in weight management, self-stigma and depression at 12 months’ follow-up. Conclusion To our knowledge, the present study provides the first long-term results for a 5A-based intervention in the context of the German primary care setting. The results suggest that a stand-alone low-threshold minimal e-health intervention for general practitioners does not improve weight management in the long term. To improve weight management in primary care, more comprehensive strategies are needed. However, due to recruitment difficulties the final sample was smaller than intended. This may have contributed to the null results. Trial registration The study has been registered at the German Clinical Trials Register (Identifier: DRKS00009241, Registered 3 February 2016).

Re-Constructing the Tutors-Tutees Relationships for Better Academic Performance in Universities Amidst Covid-19 New Normal

In the past, the success of Supplemental Instruction (Tutorial Sessions) depends on the tutors and tutees' physical and social relationships. However, the assumption exists that when there are no physical connections between the duos may affect their social interrelationships, impeding the success and intention of SI in the University classrooms. This study, therefore, investigates the current relationships amidst new normal towards SI and students performance. The study is underpinned by attachment theory to unravel the extent, importance and shortcomings of the assumed change in the relationship between the understudied. The study is guided by the Transformative Paradigm (TP) and Participatory Research (PR) to identify the possible dichotomies in their relationships. Purposive selection method was used to select five tutors and five tutees in a selected university in South Africa. Online (WhatsApp, email, and telephonic) interview was used to collect data from the participants. The data were subjected to thematic analysis. The result showed that that; struggles with the use and lack of Internet-of-Things and unstructured work-hours were the significant challenges that affected online tutorial sessions. On the other hand, the study also found out that students need ICT training and devices, including motivation for performance. Therefore, we recommend that training of ICT and provision of devices alongside strong motivation should be ensured. Received: 1 February 2021 / Accepted: 3 March 2021 / Published: 7 March 2021