Information For Teachers Research Articles

Returning to Sport: Female Athletes Living with and beyond Cancer

Many athletes living with and beyond cancer can continue to train and, in some cases, compete during treatment. Following cancer treatment, athletes can return to competitive sport but need to learn to adapt their physical strength and training to the lingering effects of cancer. It is critical for oncology healthcare providers to use the principles of assess, refer and advise to exercise oncology programs that are appropriate for the individual. Managing side effects of treatment is key to being able to train during and immediately following cancer treatment. Keen attention to fatigue is important at any point in the cancer spectrum to avoid overtraining and optimize the effects of training. Resources are introduced for providers to reference and direct patients to information for psychosocial support and instruction. The purpose of this paper is to present exercise considerations during and after cancer treatment for athletic cancer survivors.

Attitudes of preservice teachers having pedagogical formation certificate training towards instructional technology and material design course

The purpose of this study was to determine the attitudes of the trainees registered in Pedagogical Formation Certificate Program (PFCP) towards the Instructional Technologies and Material Design (ITMD) course and to analyze whether these attitudes differed according to gender, department and level of grade. The data were obtained from totally 110 trainees including 78 females and 38 males. In addition to the personal information form, the Attitude Scale towards ITMD Course was used as the data collection tool. The scale had three sub-dimensions as effectiveness, admiration and denial, and the internal consistency coefficients calculated for the current implementation were between .99 and .77. It was understood that the trainees regarded the ITMD course effective enough to be considered good, admired the course at a moderate level, and did not neglect the course very much. It was noticed that female trainees found the course more effective and admired it more rather than the male trainees. The trainees in the English group were determined to consider ITMD course more effective than the trainees in the philosophy group. Moreover, it was proved that the students in the English group admired more rather than the trainees in the theology and philosophy groups. The graduate trainees regarded ITMD course more effective than the ones who were still students.
 
 Keywords: instructional technologies, information technologies, instructional technologies and material design, attitude towards itmd course;

Modeling Method and Application of College Comprehensive Teaching Mode Based on Artificial Intelligence

Under the influence of artificial intelligence, education is undergoing a profound innovation. On the basis of expounding the important position of artificial intelligence in the field of computer, this paper studies the modeling method of college comprehensive teaching mode based on artificial intelligence. This paper analyzes the feasibility of applying the task driven method to the teaching of artificial intelligence course based on the teaching objectives of artificial intelligence course and the characteristics and steps of task driven teaching method. This paper proposes a task driven teaching model of artificial intelligence. Then, this paper explores the specific shift process of instructional design paradigm under the background of artificial intelligence. In the pre intelligence stage, this study uses the paradigm shift analysis framework to verify whether Cai instructional design, multimedia instructional design and information instructional design have migration. For the teaching design in the intelligent stage, this paper first expounds the inevitability of the paradigm shift of teaching design under the background of artificial intelligence from the aspects of the opportunities brought by artificial intelligence to education and teaching, the problems of the original information-based teaching design and the many challenges it faces. At last, the typical application cases under the guidance of intelligent instructional design paradigm are described in detail.

Future precipitation, hydrology and hydropower generation in the Yalong River Basin: Projections and analysis

In recent years, the impact of global warming has raised public concern over the precipitation-induced geological hazards, water security and energy security in the Yalong River Basin (YRB). Therefore, it is advisable to identify the variations of future precipitation, hydrology and hydropower generation under the joint impact of global warming and the operation of local hydropower reservoirs. To this end, the ensemble mean of the bias corrected NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) climate projections downscaled from 10 global climate models (GCMs) was applied to seven precipitation indices proposed by the Expert Team on Climate Change Detection and Indices (ETCCDI) and the ensemble of two distributed hydrologic models (VIC and CREST) under the global warming of 1.5 °C and 2 °C. Reservoir operation based on actual operation rules and the hydropower optimization model were explicitly included in the routing module to represent the impact of the local hydropower reservoirs, respectively. The future natural runoff is likely to increase under RCP8.5, decrease under RCP4.5, and see a larger daily variability under both. The local hydropower reservoirs can effectively mitigate the negative climate impact on the basin hydrology, and the basin is expected to see increased dry-season runoff, decreased wet-season runoff, and lower daily variability of runoff under all scenarios as compared to the baseline period. The future hydropower generation of the YRB is consistent with the variation of future runoff, and reservoir operation with hydropower optimized rules can produce about 5% electricity more than the current actual operation rules, highlighting the potential need to adapt the current operation rules to future climate conditions. Our framework and findings are expected to provide instructive information for water resources management not only in the YRB but also in different regions worldwide.

Исследование функций преподавателей в процессе обучения студентов в онлайн-курсе о педагогическом использовании информационных и коммуникативных технологий

This study examines how course instructors facilitate students’ learning in the Pedagogical Information and Communication Technology (ICTPED) Massive Open Online Course (MOOC) aiming to develop professional digital competence in pre-service and in-service teachers in Norway. It also provides an insight into how students’ agentic engagement in learning may affect the course instructors’ guidance. Students’ online meetings with the course instructors and students were observed and recorded. The meetings aimed to develop students’ understanding of the examination assignment. The data (4.5 hours video recordings) analyzed by the method of interaction analysis revealed that the instructors performed four pedagogical functions: (1) setting up the learning process, (2) reifying students’ ideas;(3) assisting students in developing their conceptual understanding; and (4) summarizing and structuring students’ understanding about target concepts. These pedagogical functions evolved out of mutual collaboration of the instructors and students. The students’ agentic engagement in learning was visible when they took the initiative to explicitly share their ideas related to their examination assignment. Instructors’ agency in guiding came into play when addressing students’ ideas and questions emerged during the interaction process. Students’ agentic engagement in learning shaped the course instructors’ pedagogical functions and enhanced their agency. In doing so, the dialectical interplay between the students’ and course instructors’ agency comes to the fore as an essential aspect of learning and teaching in online environments.

P85 iCooks: A Virtual Cooking School and Nutrition Education Program Delivered to SNAP-Ed Youth Participants in Arkansas

<h3>Objective</h3> To implement a virtual cooking school to promote healthy eating and teach youth basic cooking and food safety skills. <h3>Use of Theory or Research</h3> Studies show cooking-related programs combined with nutrition education have the potential to improve children's diet quality and are associated with more positive food choices. <h3>Target Audience</h3> Students in SNAP-Ed eligible schools. <h3>Program Description</h3> The University of Arkansas, Division of Agriculture, Cooperative Extension Service, SNAP-Ed Program conducted a virtual cooking school to reach SNAP-Ed youth during the COVID-19 pandemic. The iCooks cooking school was offered to students in the Lonoke School Systems, and 11 families with a combined total of 24 youth in grades 3-12 participated in the program. The iCooks cooking school consisted of 5 lessons delivered weekly. Each lesson included a demonstration video of the recipe, instruction, healthy eating and food safety information. Ingredients to prepare the recipes at home were provided to participants. The lessons also included a physical activity component and an eating together as a family activity. A private Facebook group was created for participants to post pictures of themselves cooking, comment on recipes, and share what they learned. <h3>Evaluation Methods</h3> A pre/post survey for students was used to evaluate knowledge gained and changes in eating habits. Parents were surveyed to assess the effectiveness of the program. <h3>Results</h3> One hundred percent of participants increased knowledge about how to prepare healthy foods; 100% indicated they could now make food safely to avoid foodborne illness; 84% were willing to try food in new and interesting ways; 89% were willing to taste new foods they had not tried before; 89% indicated they paid more attention to how many fruits and vegetables they ate daily; and 100% indicated they learned the importance of healthy eating habits. <h3>Conclusion</h3> iCooks, a virtual cooking school and nutrition education program, has been successful in increasing students' knowledge of healthy meal preparation, improving food safety skills, and increasing awareness of their daily fruit and vegetable intake.

Evaluating the Technological, Pedagogical and Content Knowledge (TPACK) of ICT Teachers in Junior High Schools: A Case Study of the Abuakwa South Municipality in Ghana.

The study sought to examine ICT teachers’ knowledge regarding technology, pedagogy and content using the TPACK model. In all, 44 teachers were randomly sampled from the 54 Junior High Schools in the Abuakwa South Municipality. A questionnaire was used to gather quantitative data. ANOVA was used to interpret the data collected. The findings suggested that the overall teachers’ knowledge in TPACK was moderate, however, the knowledge of teachers in technology was high. The results also indicated a positive relationship among the various TPACK domains. However, the result rejected the null hypothesis and accepted the alternative hypothesis which shows that statistically there is a significant difference among the various TPACK domains. It was concluded that a lot must be done to help improve the teachers’ TPACK. The study recommended a regular professional learning session to close the gap of the teachers’ knowledge in technology, pedagogy and content in the municipality. Keywords: Technological, Pedagogical Content Knowledge (TPACK), Information and Communication Technology (ICT)

Abnormal interhemispheric functional connectivity in patients with strabismic amblyopia: a resting-state fMRI study using voxel-mirrored homotopic connectivity

BackgroundPrevious studies have demonstrated that strabismus amblyopia can result in markedly brain function alterations. However, the differences in spontaneous brain activities of strabismus amblyopia (SA) patients still remain unclear. Therefore, the current study intended to employthe voxel-mirrored homotopic connectivity (VMHC) method to investigate the intrinsic brain activity changes in SA patients.PurposeTo investigate the changes in cerebral hemispheric functional connections in patients with SA and their relationship with clinical manifestations using the VMHC method.Material and methodsIn the present study, a total of 17 patients with SA (eight males and nine females) and 17 age- and weight-matched healthy control (HC) groups were enrolled. Based on the VMHC method, all subjects were examined by functional magnetic resonance imaging. The functional interaction between cerebral hemispheres was directly evaluated. The Pearson’s correlation test was used to analyze the clinical features of patients with SA. In addition, their mean VMHC signal values and the receiver operating characteristic curve were used to distinguish patients with SA and HC groups.ResultsCompared with HC group, patients with SA had higher VMHC values in bilateral cingulum ant, caudate, hippocampus, and cerebellum crus 1. Moreover, the VMHC values of some regions were positively correlated with some clinical manifestations. In addition, receiver operating characteristic curves presented higher diagnostic value in these areas.ConclusionSA subjects showed abnormal brain interhemispheric functional connectivity in visual pathways, which might give some instructive information for understanding the neurological mechanisms of SA patients.

The Potential of Motion Pictures as a Non-Traditional Form of Pedagogical Information Relating to Working with Gifted Children

The Potential of Motion Pictures as a Non-Traditional Form of Pedagogical Information Relating to Working with Gifted Children

Using Visual Aids to Supplement Medical Instructions, Health Education, and Medical Device Instructions

Objective: To review the effects of visual aids on adherence, comprehension, and recall when used to supplement written or spoken information in medical instructions, health education, and medical device instructions and the effects on patients with low literacy levels. Method: Review of studies from medical instructions, health education, and medical device instructions to measure adherence, comprehension, and recall of written or spoken instructions, with or without visual aids. Results: The addition of visual aids to written or spoken instructions can positively impact adherence, comprehension, and recall, which can lead to better patient outcomes. Simpler, larger, quantitative, regional, and reinforcing visual aids provided the largest improvements, especially with patients with low literacy.

937-P: Mealtime Insulin in New-Onset Type 1 Diabetes Mellitus: Fixed Dose vs. Insulin:Carbohydrate Ratio

Over the past 20 years, advances in diabetes technology and along with carbohydrate counting (CC) to determine insulin dose, has provided an opportunity for improvement in glycemic control and quality of life for children and adolescents with type 1 diabetes (T1D). These advances, however, have not translated into improved outcomes. This may be due to the stress and anxiety the child and family experience with the large amount of information taught during diabetes education sessions at diagnosis. A simplified teaching approach may reduce stress for the child and family. This study assessed the effects of two approaches to mealtime insulin delivery on parental stress. In the fixed dose (FD) regimen, the same dose of insulin is delivered for a set range of carbohydrates. In the insulin:carbohydrate ratio (ICR) regimen, insulin delivery varies based on the exact number of carbohydrates. Twenty-four subjects (8-15-yrs) with new-onset T1D were randomized to the FD or ICR group. The primary endpoint was parental stress using the Parental Stress Survey, at 1-month and 4-months after diagnosis. Secondary endpoints included glycemic variability (% of values within target range) and HbA1C (%), at 1-month and 4-months after diagnosis. The FD group experienced less stress than the ICR group at 1-month (27 ± 2.29 vs. 37.28 ± 2.57)and 4-months (27.62 ± 2.34vs. 35.14 ± 2.57) (interactive p = 0.04). The FD group had similar glycemic variability and HbA1C levels as the ICR group at 1-month (67.5% vs. 63.2% and 9.76 ± 0.53vs. 9.2 ± 0.58) and 4-months (63.3% vs. 69.0% and 7.27 ± 0.55 vs. 7.71 ± 0.58). Complications (severe hypoglycemia or DKA) did not occur in either group during the study. The additional stress associated with learning CC at the onset of T1D education may be reduced with a simple mealtime insulin and carbohydrate regimen. A simple insulin regimen that does not adversely affect glycemic control may alleviate the stress that many patients and families experience when a child is diagnosed with new-onset T1D. Disclosure J. V. Reyes diaz: None. E. Felner: None.

Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.

Breast Ultrasound (BUS) imaging has been recognized as an essential imaging modality for breast masses classification in China. Current deep learning (DL) based solutions for BUS classification seek to feed ultrasound (US) images into deep convolutional neural networks (CNNs), to learn a hierarchical combination of features for discriminating malignant and benign masses. One existing problem in current DL-based BUS classification was the lack of spatial and channel-wise features weighting, which inevitably allow interference from redundant features and low sensitivity. In this study, we aim to incorporate the instructive information provided by breast imaging reporting and data system (BI-RADS) within DL-based classification. A novel DL-based BI-RADS Vector-Attention Network (BVA Net) that trains with both texture information and decoded information from BI-RADS stratifications was proposed for the task. Three baseline models, pre-trained DenseNet-121, ResNet-50 and Residual-Attention Network (RA Net) were included for comparison. Experiments were conducted on a large scale private main dataset and two public datasets, UDIAT and BUSI. On the main dataset, BVA Net outperformed other models, in terms of AUC (area under the receiver operating curve, 0.908), ACC (accuracy, 0.865), sensitivity (0.812) and precision (0.795). BVA Net also achieved the high AUC (0.87 and 0.882) and ACC (0.859 and 0.843), on UDIAT and BUSI. Moreover, we proposed a method that integrates both BVA Net binary classification and BI-RADS stratification estimation, called integrated classification. The introduction of integrated classification helped improving the overall sensitivity while maintaining a high specificity.

Возможности дистанционного сопровождения процесса обучения школьников с особыми образовательными потребностями

The purpose of the study is to determine the possibilities of remote support of the learning process of schoolchildren with special educational needs. The article deals with information and communication technologies for students with special educational needs, including assistive and specialized software tools used depending on the physical and psychoemotional capabilities of students. The most popular online platforms (Skype, Zoom) are presented, through which it is possible to implement remote classes with "special" children both in individual and group modes. The scientific novelty lies in a comprehensive approach to the study of the possibilities of remote support for children with disabilities and children with disabilities, including both psychological and pedagogical assistance and information and communication technologies, depending on the psychophysical capabilities of schoolchildren. As a result, the advantages of using remote control systems are revealed.

Online medical services utilization evaluated through the lens of socioecological theory and the information–motivation–behavioral skills model: evidence from China

Online medical services (OMS) have become increasingly advantageous, but there are still several barriers to utilization among patients. This study aims to explore the factors influencing OMS utilization (OMSU) for patients in micro-, meso-, and macrosystems based on socioecological theory (SET) and from the perspective of the information-motivation-behavioral skills (IMB) model. We selected 1065 participants through multistage stratified cluster random sampling in Jiangsu, China. In microsystems, information and behavioral skills were positively associated with intention (β=0.84; β=3.21) and actual utilization (OR=1.69; OR=1.69). Education level (β=0.83) and personal motivation (β=1.68) were positively related to intention. Chronic diseases (OR=2.03) had a positive relationship with actual use. In mesosystems, recommendations from people around the patients (β=1.14; OR=1.99), provision of OMS in the nearest primary medical facility (β=0.98; OR=3.60), and provision of instructional information by medical institutions (β=1.01; OR=1.65) were related to OMSU. The average monthly household income (β=0.54) was related to intention. Patients who had information about the OMSU experiences of people around them (OR=1.73) correlated with actual utilization. In macrosystems, the social medical insurance type (OR=0.66) was associated with OMSU. This study supports the applicability of the SET and IMB model to interpret patients' OMSU.

Codee: A Tensor Embedding Scheme for Binary Code Search

Given a target binary function, the binary code search retrieves top-K similar functions in the repository, and similar functions represent that they are compiled from the same source codes. Searching binary code is particularly challenging due to large variations of compiler tool-chains and options and CPU architectures, as well as thousands of binary codes. Furthermore, there are some pivotal issues in current binary code search schemes, including inaccurate text-based or token-based analysis, slow graph matching, or complex deep learning processes. In this paper, we present an unsupervised tensor embedding scheme, Codee, to carry out code search efficiently and accurately at the binary function level. First, we use an NLP-based neural network to generate the semantic-aware token embedding. Second, we propose an efficient basic block embedding generation algorithm based on the network representation learning model. We learn both the semantic information of instructions and the control flow structural information to generate the basic block embedding. Then we use all basic block embeddings in a function to obtain a variable-length function feature vector. Third, we build a tensor to generate function embeddings based on the tensor singular value decomposition, which compresses the variable-length vectors into short fixed-length vectors to facilitate efficient search afterward. We further propose a dynamic tensor compression algorithm to incrementally update the function embedding database. Finally, we use the local sensitive hash method to find the top- <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula> similar matching functions in the repository. Compared with state-of-the-art cross-optimization-level code search schemes, such as Asm2Vec and DeepBinDiff, our scheme achieves higher average search accuracy, shorter feature vectors, and faster feature generation performance using four datasets, OpenSSL, Coreutils, libgmp and libcurl. Compared with other cross-platform and cross-optimization-level code search schemes, such as Gemini, Safe, the average recall of our method also outperforms others.

Analysis of the Government's Crisis Communication Strategy Discourse to Defend Covid-19

Crisis communication is one of the most important instruments in crisis management. Unfortunately, there is a lot of criticism about how the Indonesian government implemented its crisis communication strategy during the Covid-19 pandemic season. This study aims to uncover the government's crisis communication strategy from the perspective of Van Dijk's critical discourse analysis. Based on the Situational Crisis Communication Theory (SCCT), researchers study the structure of discourse in texts consisting of macro, superstructure, and micro. There were 6 press releases from President Jokowi, Minister of Health Terawan Agus Putranto, and Spokesperson dr. Achmad Yurianto was collected using a purposive sampling method to describe the government's crisis communication strategy at the beginning of pre-crisis and crisis. The results show a significant dynamic crisis communication strategy on how the government implemented it in the pre-crisis and crisis phases. In the pre-crisis phase, they were statements from public officials especially in this case coming from President Jokowi and Minister of Health Terawan Agus Putranto. Both of these statements tend to lead to Deny and Diminish's strategy while still delivering messages in the form of Adjustments and Instructive Information so that the public remains alert and calm. However, in the crisis phase, government communication shifted towards Diminishes' statement, in the view of Justification that the crisis was actually not so terrible and bad. This is the biggest idea that emerged in the statement of President Jokowi and Spokesperson dr. Achmad Yurianto. Broadly speaking, this phase also provides a greater perspective on projections of government policy in the Covid-19 arrangement.

Enhanced metadata modelling and extraction methods to acquire contextual pedagogical information from e-learning contents for personalised learning systems

To make online learning systems (OLSs) effective, it is important to make sure that the learners get the learning objects (LOs) according to their pedagogical suitability and requirements. To assess the suitability of an LO, sufficient information of it is required to be available. These information can be specified as metadata of the document. But there is a dearth of metadata defined for educational documents. Existing standard metadata models like IEEE LOM and others are promising but lack in capturing some crucial learning and pedagogical aspects of LOs. In this paper, we propose a new metadata model that has extended the IEEE LOM to provide an extensive set of metadata for LOs. The proposed metadata seem adequate to describe the contextual learning and pedagogical information of any text and web document based LO. But only specifying the metadata is not sufficient; they need to be extracted from a learning content automatically so that these information can be used by the learners and the OLSs and the educational recommendation systems. Automated extraction of metadata from e-learning contents is a non-trivial task. In view of that, we have provided extraction mechanisms for each of the specified metadata, separately. The experimental results show that the proposed extraction methods are quite accurate in identifying and retrieving the different educational metadata. The statistical inferences of the automated and manual extractions are found to have substantial similarities for each of the extracted metadata element.

Analysis of food waste and sustainability behavior in Turkish television cooking shows

On September 25, 2015, the United Nations adopted a set of goals as part of a new sustainable development agenda to end poverty, protect the planet and ensure prosperity for all. The most important factors to provide sutainability are sustainable production and consumption. In order for a sustainable consumption to be realized; establishment of institutional organizations that will respond to local production and consumption problems, change of consumption patterns that will lead to waste with flexible and inclusive sustainable communities by re-incorporating waste generated after consumption into production are the determining factors. Consumption patterns are in a continuous cycle of change with the effect of social media and mass media. Mass media crosses all social boundaries and recreates certain perspectives, allowing information to be synthesized and spread continuously. Broadcasting programs that emphasize being a conscious consumer on television, which is one of the mass media, allows the consumption patterns to be shaped in a continuous cycle and the existing patterns to change. The aim of this study is to examine the expressions and behaviors related to food waste and sustainability on the cooking shows broadcast on Turkish televisions. In this context, three cooking shows that broadcast in 2020–2021 in Turkey are selected based on their ratings. The episodes of cooking shows consist of 2441 min in total. The episodes of the selected programs were followed in accordance with the form prepared by the researchers, and the findings on food waste and sustainability were grouped and analyzed. Based on the findings, although there are positive attitudes towards waste and sustainability in all three meal programs, there are few expressions, instructive information and information that can be transformed into practice for reducing waste and sustainability.

A study on satisfaction of users towards learning management system at International University – Vietnam National University HCMC

Learning management system (LMS) is considered as an important means of knowledge acquisition and learning management in the digital era. As users could be seen as the key stakeholders who impact the system’s survival, their attitudes toward system are put in high consideration. The purpose of this study is to explore the factors influencing learner’s satisfaction towards learning management system, specially Blackboard and Edusoft . Blackboard and Edusoft are the two mandatory systems that all students in International University – Vietnam National University HCMC have been using during their college. A quantitative survey is applied to current students at International University to test the influence of 4 factors: Announcement system, Instruction information, Interaction, Technology quality on Learning management system usefulness and the impact of learning management system usefulness on their satisfaction. The findings suggest the significant impact of 5 mentioned factors in learners’ satisfaction including direct and indirect relations. This study also tests the relationship between the interaction provided by learning management tool and students’ satisfaction. For students’ side, they have a chance to raise their voices by ranking the level of which factors make them concern relating to the learning management tools that they have to use day by bay during college. For university’s side, this research contributes to provide information relating to students’ perception which could help the improvement for learning management system afterward.

Headteachers' Instructional Leadership at Community Schools

This article explores instructional leadership of few head teachers of Dhading district. Due to the primitive model of school leadership, students faced obstacles in achieving educational goals. The objectives of this research are to explore the tradition of the head teachers' leadership of school and the role of the head teachers for the transformation of the educational attempts and achievements. This research followed phenomenological research method. Five head teachers leading the schools for more than a decade were interviewed. The data thus collected were interpreted through coding, categorizing and comparing the key themes. The research finds that the leadership role of the head teachers in the past was responsible for lagging behind the target of the educational achievement as recommended by the curriculum. This study concludes that the school leadership must be cross-threaded in instructional process, pedagogy, information, and communication technology (ICT).