Home Tutoring Research Articles

Factors influencing employee retention of academic home tutors in a private school

This study’s goal is to investigate the links between pay and benefits, worklife balance, professional development, and employee retention among academic home tutors in a Malaysian private school. Data from 80 respondents from this private school were gathered using a quantitative survey method. Statistical package for social science (SPSS) was employed throughout the study to analyze the data. The study results showed that salary & compensation and career enhancement positively correlate with employee retention. Meanwhile, work-life balance was not statistically linked with employee retention. The management should revise the human resource management practices by including these elements. The management should design salary & compensation packages that fit with individual knowledge, capabilities, and performance. The management may also consider offering flexible work schedules, such as training, mentoring, job mobility, and a reduction in working hours, as well as wellness assistance, such as counselling services and health and wellness initiatives. This will give employees the chance to advance their careers.

Effective modelling of human expressive states from voice by adaptively tuning the neuro-fuzzy inference system

<span lang="EN-US">This paper aims to develop efficient speech-expressive models using the adaptively tuning neuro-fuzzy inference system (ANFIS). The developed models differentiate a high-arousal happiness state from a low-arousal sadness state from the benchmark Berlin (EMODB) database. The proposed low-cost flexible developed algorithms are self-tunable and can address several vivid real-world issues such as home tutoring, banking, and finance sectors, criminal investigations, psychological studies, call centers, cognitive and biomedical sciences. The work develops the proposed structures by formulating several novel feature vectors comprising both time and frequency information. The features considered are pitch (F0), the standard deviation of pitch (SDF0), autocorrelation coefficient (AC), log-energy (E), jitter, shimmer, harmonic to noise ratio (HNR), spectral centroid (SC), spectral roll-off (SR), spectral flux (SF), and zero-crossing rate (ZCR). to alleviate the issues of the curse of dimensionality associated with the frame-level extraction, the features are extracted at the utterance level. Several performance parameters have been computed to validate the individual time and frequency models. Further, the ANFIS models are tested for their efficacy in a combinational platform. The chosen features are complementary and the augmented vectors have indeed shown improved performance with more available information as revealed by our results.</span>

Home learning environments and children's language and literacy skills: A meta-analytic review of studies conducted in low- and middle-income countries.

A robust finding from research in high-income countries is that children living in resource-poor homes are vulnerable to difficulties with language and literacy but less is known about this association in low- and middle-income (LMI) countries. We present a meta-analysis of 6,678 correlations from studies in 43 LMI countries. Overall, the results indicate a small but significant association (r = .08) between home language and literacy environment and children's language and literacy skills. After examining a range of moderators, adult literacy practices and books-at-home had a significantly larger association with children's language and literacy skills than did home tutoring. Studies using customized measures demonstrated a more marked association between home attributes and children's outcomes (r = .14) than studies using a common measure across multiple sites (r = .06). Published studies showed significantly larger associations than unpublished studies, and countries with greater income inequality showed a larger association than relatively egalitarian societies. We conclude that the small overall association should not be taken as support for the absence of, or a vanishingly small relationship between the home learning environment and children's language and literacy skills in LMI countries. Rather, an important factor in detecting this relationship is that assessments must better reflect the nature of homes in different cultures to capture true variation in the population. Such contextually situated measurement would lead to an inclusive conceptualization of home learning environments and can better inform intervention programs to enhance children's educational success, a critical target for many LMI countries. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Yoga Pose Detection for Human Rehabilitation Using Deep Leaning

Abstract: Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to bring harmony to both body and mind with the help of asana, meditation and various other breathing techniques It bring peace to the mind. Due to increase of stress in the modern lifestyle, yoga has become popular throughout the world. There are various ways through which one can learn yoga. Yoga can be learnt by attending classes at a yoga centre or through home tutoring. It can also be self-learnt with the help of books and videos. Most people prefer self-learning but it is hard for them to find incorrect parts of their yoga poses by themselves. idea behind this yoga pose detection project using deep learning or neural network learning is that yoga popularity is increasing day by day because of its benefits. Doing yoga helps us physically, mentally as well as spiritually. Because of this many people nowadays are doing it regularly. The main idea of this project is to help the people to recognize which yoga pose they are doing with the help of this detection technique. Yoga which involves 8 rungs and limbs of it, which includes Yama, Niyama, Asana, Pranayama, Dharana, Dhyana and Samadhi. To easily help people understand which pose they are performing via images, video recording by classifying it, we are implementing this project because of this people will incline towards doing more as they will get help to identify which pose they are doing very easily.

A Survey on Yoga Posture Correction

Abstract: Yoga is a holistic practice that combines physical postures, breath control, and meditation to promote physical and mental well-being. Yoga can be learnt by attending classes at a yoga center or through home tutoring. Books, podcasts, and videos can also be used to gain the knowledge. A good deal of people prefer self-learning, but without assistance and feedback, they may find it difficult to identify the inaccurate portions of their yoga poses and could not be able to determine whether they were executed correctly. Poor yoga practice might result in health problems including strokes and nerve damage. In order to help users practice yoga, we have proposed in this study a system that can track the movements of various body parts in yoga positions. By merging the deep learning intelligence with Google is MediaPipe's real-time detection of various human body joint points and the ability to infer the precision of specific postures in yoga from those joint points

Pendampingan Belajar Siswa Di Rumah Melalui Kegiatan Bimbingan Belajar Di Desa Jatisari

. Education has a very important role in the development of Indonesian people as a whole. Various efforts to overcome educational problems can be done, one of which is through learning assistance activities which are part of a form of community service. This community service activity is a means of delivering the benefits of knowledge and a sense of concern for students for the community in the field of education in the form of learning assistance through home tutoring activities. The purpose of this activity is to improve academic achievement and student learning motivation. This activity involved a total of 30 elementary and MI students, consisting of 20 elementary school students and 10 MI students. The method of implementing activities is qualitatively descriptive. Descriptive narrative data analysis techniques. The results of the activity show that students' achievement and learning motivation have experienced good development. The need for improvement of facilities in the sustainability of the implementation of tutoring activity programs so that students are more comfortable and enthusiastic in learning.

Home- School Link: Tutor’s Capacity-Building Enhancement Training for effective implementation of Modular distance learning

This study discovers the effectiveness of modular distance learning as an alternative learning modality and proposes a home-school link: a tutor’s capacity-building enhancement training. The study examines the perceived level of competence and tutoring experiences of the parents while administering the self-learning modules (SLM) at home. The study determines the relevance of parents’ tutoring competence and experiences to the learner’s academic achievement, which were identified using a mixed-methods approach through conducting both surveys and interviews. The study used a purposive sampling technique to select the participants. This study reveals that parents are only proficient in administering the module, which demonstrates their need to undergo capacity-enhancement training. Facilitating the SLM emphasizes the significance of the delivery of instruction, employing the student-centered method, appropriate teaching strategies, student motivation, behavior management strategies, and time management. In this connection, the training specifically provides opportunities for the home tutors to acquire the knowledge and skills that they need to deliver a high-quality education to the learners. Moreover, this study reveals the different interventions and challenges encountered while administering modular distance learning. Conducting the teaching-learning process at home can be difficult for home tutors who do not possess the necessary competence to facilitate the SLM, which imposes a risk of producing high-quality outcomes in learners' academic achievement. Hence, it is crucial to implement the home-school link: a tutor’s capacity-building enhancement training to nurture the necessary competences of the home tutors as partners in education. Implementing the enhancement training ensures the quality education our learners wholly deserve.

Pendampingan Belajar Matematika di Rumah pada Masa Pandemi Covid 19

Online learning has become a problem for students and parents since the Covid-19 pandemic. Carrying out tutoring of mathematics for students is an alternative problem-solving done by lecturers in the mathematics education study program, at the University of Flores. Home tutoring activities are carried out at RT 003 Paupire sub-district, Ende Tengah District, every Monday, Wednesday and Friday from 16.00-17.30 WITA. The participants are elementary school students who live in RT 003. Methods of implementation include lectures, question and answer/discussion, assignments, and evaluation methods. Based on the results of observation and evaluation of learning at each meeting and every week it was found that students were motivated in learning and obtained increased learning outcomes.

Effectiveness of Home Tutoring in Mathematics 6 Under Modular Distance Learning in a Public Elementary School in the Philippines

Various issues and concerns raised by parents, students, and teachers about the implementation of Modular Distance Learning were addressed during the Online Kamustahan at a public elementary school where the study was conducted. Parents were particularly concerned about how their children would learn the skills required in their subjects without proper instruction from teachers. The development and implementation of an intervention is one method for addressing students' learning gaps and overcoming learning barriers. This study evaluated the effectiveness of home tutoring as an intervention in teaching Mathematics 6 to modular students in a public elementary school in the Philippines. Experimental research design was used in this study. A set of teacher-made tests were given to fifteen (15) Grade 6 modular students enrolled for the Academic Year 2020-2021. The pre-test and post-test scores were interpreted using mean, mean percent score, summation of x, summation of square x, absolute range, standard deviation, and coefficient of relative variation. Results showed that home tutoring focusing on the students' least mastered skills is an effective intervention in teaching Mathematics 6, with a mastery increase of +44.67%. It is recommended that the school allocate funds for promotional materials, marketing expenses, signage, and incentives for program implementation. and that the school will develop another intervention program to address the students' deficiencies, with a committee in charge of developing, implementing, and evaluating the program.

Fostering educational prosperity: A randomized controlled trial of home tutoring in foster care

AbstractThe educational gap between children in out‐of‐home care and their non‐placed peers is well‐documented. However, tutoring stands out as a promising intervention to raise children's educational attainment in out‐of‐home care. This study randomized 105 children in foster care (62% girls, aged 7–15 years [M = 10.3, SD = 2.0]) to the home tutoring program Foster Caregivers as Tutors (FCT) or regular public school services (treatment as usual [TAU]). In the FCT group, the foster caregivers tutored the children for 2.5 h/week for 40 weeks. The program effect is measured in learning and developmental outcomes, including reading and math ability, learning skills, IQ, executive function, and psychosocial function. Follow‐up was 17.5 months after baseline. The results show a significant effect over time in both groups on IQ (effect size [ES] = 0.40, P < 0.001), verbal comprehension (ES = 0.29 P = 0.02) and perceptual reasoning (ES = 0.60, P < 0.001) measured by WISC IV. Neither the FCT nor TAU provided any significant academic recovery in reading and math nor progression in executive function, learning skills or psychosocial function. These findings, implications for practice and future efforts to support the schooling of children in out‐of‐home care are discussed.

Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19

COVID-19 school closure has caused a worldwide shift towards technology-aided home schooling. Given widespread poverty in developing countries, this has raised concerns over new forms of learning inequalities. Using nationwide data on primary and secondary school children in slum and rural households in Bangladesh, we examine how learning time at home during the early months of school closure varies by access to technology at home. Data confirms a significant socio-economic and gender divide in access to TV, smartphone, computer, and internet among rural households. However, the analysis of daily time use data shows only a modest return to a technology in terms of boosting learning time at home. The learning-grade gradient is shallow and insensitive to TV, smartphone, and computer access at home. We also find no evidence that technology access per se helps learning by boosting time spent in online schooling and private supplementary coaching/tutoring. While technology access matters in households where parents act as home tutors, the magnitude of such a complementary effect are not large. The results imply a loss of out-of-school learning time during school closure even in households with technology access. We consider additional hypotheses relating to institutional and socio-economic barriers to home-based learning in developing countries.

Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM

The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights for professionals to make appropriate decisions. Learning platforms complement traditional learning environments and provide an opportunity to analyze students’ performance, thus mitigating the probability of student failures. Predicting students’ academic performance has become an important research area to take timely corrective actions, thereby increasing the efficacy of education systems. This study proposes an improved conditional generative adversarial network (CGAN) in combination with a deep-layer-based support vector machine (SVM) to predict students’ performance through school and home tutoring. Students’ educational datasets are predominantly small in size; to handle this problem, synthetic data samples are generated by an improved CGAN. To prove its effectiveness, results are compared with and without applying CGAN. Results indicate that school and home tutoring combined have a positive impact on students’ performance when the model is trained after applying CGAN. For an extensive evaluation of deep SVM, multiple kernel-based approaches are investigated, including radial, linear, sigmoid, and polynomial functions, and their performance is analyzed. The proposed improved CGAN coupled with deep SVM outperforms in terms of sensitivity, specificity, and area under the curve when compared with solutions from the existing literature.

Australian Remote Education Tutors and Universities: Proposed Innovative Partnerships for Credentialling Adult Supervisors of School Students Enrolled in Distance Education

Currently, an almost exclusively female workforce provides the government mandated adult supervision of Australian primary and secondary school students enrolled in distance education, including geographically isolated learners. These Remote Education Tutors (RETs) include unpaid family support providers and externally employed governesses and home tutors who are paid by the children's families. This crucial position has no prerequisite qualifications, which in turn generates occupational invisibility and an absence of recognised career pathways for the individuals fulfilling the responsibilities of this role. In response, we propose innovative partnerships for credentialling the experiences and effectiveness of Australian RETs, in order to recognise their professional status and to contribute to a sustainable rural education workforce. Such credentialling will entail dynamic and mutually responsive collaborations among the distance education stakeholders, including the tutors, the children's families and the universities charged with administering such credentialling. Evidence to support this proposal is provided by selected data from a 2021 national survey completed by 575 current and former RETs in most Australian States and Territories. These data underwent descriptive analysis that elicited four themes that encapsulated key elements of the RETs' lives and contexts: career pathways, economic disadvantage, gender roles, and educational equity. This account framed by Cardini' s (2006) politicised conceptualisation of partnerships highlights both the urgency and the complexity of envisaging and enacting situationally responsive rural communityuniversity collaborations to support this vital yet invisible segment of the Australian educational workforce.

Learning Languages among Aristocrats in Hungary (1867-1918)

In the present study, by means of private letters, memoirs, as well as school registry forms, we focus on aristocratic children’s language education: what languages did they study, with whom did they study them, with what methods and for what purpose – whether at home or in school. After 1867, the aristocracy retained its multilingual facility. The daughters of the family typically continued studying at home, guided by foreign governesses and Hungarian home tutors. Besides Hungarian, they usually acquired three languages (French, German, English) to a proficient level, by help of a method that placed the emphasis on speaking. The boys’ language studies progressed in a similar way, the difference being that they were more likely to study in public schools – abroad or in Hungary. Within the high society, the two most sought-after foreign institutions were the Theresianum in Vienna and the Jesuit secondary grammar school in Kalksburg. In these, the students had the chance to choose from among several classical and modern languages to study; moreover, however surprising it might seem at first glance, they also placed a great emphasis on nurturing the Hungarian language. Thus, by the time they reached adulthood, the daughters and sons of high nobility became polished speakers and readers of foreign languages, which, besides cultivating their international family relations, also helped them in keeping abreast on world events, as well as in literature and the sciences, not to mention – in the case of the boys – constituting an advantage in their career fields.

Challenges of Home Tutors in Complying With Malaysian Tax Requirement

Challenges of Home Tutors in Complying With Malaysian Tax Requirement

Yoga Pose Detection and Classification Using Deep Learning

Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to bring harmony to both body and mind with the help of asana, meditation and various other breathing techniques It bring peace to the mind. Due to increase of stress in the modern lifestyle, yoga has become popular throughout the world. There are various ways through which one can learn yoga. Yoga can be learnt by attending classes at a yoga centre or through home tutoring. It can also be self-learnt with the help of books and videos. Most people prefer self-learning but it is hard for them to find incorrect parts of their yoga poses by themselves. Using the system, the user can select the pose that he/she wishes to practice. He/she can then upload a photo of themselves doing the pose. The pose of the user is compared with the pose of the expert and difference in angles of various body joints is calculated. Based on thisdifference of angles feedback is provided to the user so that he/she can improve the pose.

HOMETUTORINK: A MOBILE APPLICATION FOR PRIVATE-TUTORING SERVICES

The inclination of parents towards having their children to obtain best possible academic results as well as to secure scholarships for higher education are the common practices in Malaysia. Some of these parents are willing to pay high price to secure the best tutors for home or private tuitions. This is because the teachers at schools are struggling to handle high numbers of students per class as well as incapacity of teachers to provide one-to-one coaching and mentoring due to high workloads. Hence, home or private tutoring is next practical solution that contributes in the building the academic excellence of the children because of the one to one coaching and mentoring, small class, close monitoring on the learning, and continuous observation on the student’s performance. However, the parents are still facing impediments to decide the desirable home or private tutor for each specific subject at the reasonable rate. Therefore, this paper discusses on the issues faced by the parents in securing home/private tutor as well as a new developed mobile application to facilitate private-tutoring services. With the application HomeTutorink, parents, teachers, tutors, and students have better opportunities to decide, earn, learn, and thrive successfully together.Keywords: home; private; tutor; education; academic; performance

Marketising private tuition: Representations of tutors’ competence, entrepreneurial opportunities and service legitimation in home tutoring business manuals

Education researchers have explored the marketisation of schools resulting from neoliberal education policy, but little attention has been paid to supplementary education markets. Supplementary education services, such as private tuition, are delivered outside of school but designed to improve performance within it. A small body of research demonstrates that the private tuition market in the UK and the USA is burgeoning, and that students’ access to this service is differentiated by region, class and ethnicity. These emerging demand‐side analyses are vital, but they cannot tell us about the educational entrepreneurship that shapes the supply of private tutoring services. This article addresses this lacuna through a discourse analysis of manuals, published as part of the developing tutoring support industry, that are designed to guide would‐be entrepreneurs through the establishment of a private tuition business. This analysis excavates manuals’ treatment of: tutors’ motivation to work in the sector and their competence to do so; strategies to be employed in the marketisation of tuition services; and the need to build trust to ensure business legitimation in an unregulated industry. In conclusion, the article sets a new agenda for research into fast‐developing supplementary education markets that explores: (i) the dynamics of this expanding educational workforce of private tutors; (ii) the ways marketisation addresses and augments parental anxiety about children's education; and (iii) the need for safeguarding and quality control in private tuition.

외국인 어머니의 문화적응이 다문화가정 청소년의 학습활동 적응에 미치는 영향: 어머니의 가정 내 교육참여, 공적 교육 지원, 사교육의 매개효과

Objectives: This study aimed to examine how mothers’ acculturation affected their children’s learning activity adaptation and how mothers’ educational involvement in home, public educational support and private tutoring mediated the association. Methods: Data were drawn from the 2016 Multicultural Adolescents Panel Study (MAPS). Among the total 1,635 multicultural adolescents, those in the 3rd year of middle school who had foreign mother and Korean father were selected. A frequency analysis, multiple regression analysis, logit regression analysis and hierarchical multiple regression were performed. Results: A direct effect and an indirect effect of foreign mothers’ acculturation on the adaptation of multicultural family adolescents’ learning activities were verified. Mothers’ Korean proficiency was directly associated with the adaptation of adolescents'' learning activities, and that the mediating effect of mothers’ educational involvement in home and the relationship between mothers’ Korean proficiency and the adaptation of learning activities was found. Private tutoring mediated the relationship between the acculturative stress and the adaptation of adolescents'' learning activities but had no direct effect of acculturative stress on the adaptation of adolescents learning activities. Conclusions: The results imply that although foreign mothers’ insufficient Korean proficiency has a negative effect on adolescents’ adaptation of learning activities, foreign mothers’ educational involvement in home and private tutoring can improve multicultural family adolescents’ adaptation of learning activities.

Estimation of Stretching Fitness using Augmented Reality

Fitness is not about being better then someone else, it’s about being better then you use to be. Everyone is looking for their fitness but it’s quite difficult to find out time to practice appropriate stretching exercise or Yoga. Most of the people are not aware about the method of performing this kind of exercise or Yoga, thus the practice done in an incorrect method may harm the body muscles and even causes the side effects such as major drop in body energy, insomnia, body aches and pains, joint problems, female miss the period cycle or face the irregular periods, poor mental health and many more according to the capacity of human body[5]. Obsession with fitness is connected to convenience and flexibility that has given birth to on-demand fitness or yoga classes. People are running on the thorns of the clock now days. Thus we need a ‘home tutor in pocket’ (a mobile application) which can teach the correct method of various stretching exercise and yoga asana at our convenience. This mobile application created with the help of augmented reality[3] made the fitness routines more affordable and accessible, helps us to set the realistic fitness goal, monitor our workout routines and importantly teaches us the correct method of performing various stretching exercise and yoga asana. This research paper portray the objective, conceptualize the exclusive character(who is performing various exercise and yoga asana) using Photoshop , creation of 3D model using Maya, methodology, SURF Algorithm implementation, character scaling according to the height, weight and age using Unity 3D with Augmented Reality[2], technical aspects as well as social aspects.