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This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success.
Attribute | Description |
---|---|
Hours_Studied | Number of hours spent studying per week. |
Attendance | Percentage of classes attended. |
Parental_Involvement | Level of parental involvement in the student's education (Low, Medium, High). |
Access_to_Resources | Availability of educational resources (Low, Medium, High). |
Extracurricular_Activities | Participation in extracurricular activities (Yes, No). |
Sleep_Hours | Average number of hours of sleep per night. |
Previous_Scores | Scores from previous exams. |
Motivation_Level | Student's level of motivation (Low, Medium, High). |
Internet_Access | Availability of internet access (Yes, No). |
Tutoring_Sessions | Number of tutoring sessions attended per month. |
Family_Income | Family income level (Low, Medium, High). |
Teacher_Quality | Quality of the teachers (Low, Medium, High). |
School_Type | Type of school attended (Public, Private). |
Peer_Influence | Influence of peers on academic performance (Positive, Neutral, Negative). |
Physical_Activity | Average number of hours of physical activity per week. |
Learning_Disabilities | Presence of learning disabilities (Yes, No). |
Parental_Education_Level | Highest education level of parents (High School, College, Postgraduate). |
Distance_from_Home | Distance from home to school (Near, Moderate, Far). |
Gender | Gender of the student (Male, Female). |
Exam_Score | Final exam score. |
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Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, and circumstances for students’ growth, as well as the influence of Teaching Quality (TQ) and the applicability of the skills promoted by teaching to life. Teaching excellence is an important evaluation metric at the university level, but it is challenging to determine it accurately due to its wide range of influencing factors. Fuzzy and Deep Learning (DL) approaches must be could to build an assessment model that can precisely measure the teaching qualities to enhance accuracy. Combining fuzzy logic and DL can provide a powerful approach for assessing the influencing factors of college and university teaching effects by implementing the Sequential Intuitionistic Fuzzy (SIF) assisted Long Short-Term Memory (LSTM) model proposed. Sequential Intuitionistic Fuzzy (SIF) can be used sets to assess factors that affect teaching quality to enhance teaching methods and raise the standard of education. LSTM model to create a predictive model that can pinpoint the primary factors that influence teaching quality and forecast outcomes in the future using those influencing factors for academic growth. The enhancement of the SIF-LSTM model for assessing the influencing factors of teaching quality is proved by the accuracy of 98.4%, Mean Square Error (MSE) of 0.028%, Tucker Lewis Index (TLI) measure for all influencing factors and entropy measure of non-membership and membership degree correlation of factors related to quality in teaching by various dimensional measures. The effectiveness of the proposed model is validated by implementing data sources with a set of 60+ teachers’ and students’ open-ended questionnaire surveys from a university.
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License information was derived automatically
Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, and circumstances for students’ growth, as well as the influence of Teaching Quality (TQ) and the applicability of the skills promoted by teaching to life. Teaching excellence is an important evaluation metric at the university level, but it is challenging to determine it accurately due to its wide range of influencing factors. Fuzzy and Deep Learning (DL) approaches must be could to build an assessment model that can precisely measure the teaching qualities to enhance accuracy. Combining fuzzy logic and DL can provide a powerful approach for assessing the influencing factors of college and university teaching effects by implementing the Sequential Intuitionistic Fuzzy (SIF) assisted Long Short-Term Memory (LSTM) model proposed. Sequential Intuitionistic Fuzzy (SIF) can be used sets to assess factors that affect teaching quality to enhance teaching methods and raise the standard of education. LSTM model to create a predictive model that can pinpoint the primary factors that influence teaching quality and forecast outcomes in the future using those influencing factors for academic growth. The enhancement of the SIF-LSTM model for assessing the influencing factors of teaching quality is proved by the accuracy of 98.4%, Mean Square Error (MSE) of 0.028%, Tucker Lewis Index (TLI) measure for all influencing factors and entropy measure of non-membership and membership degree correlation of factors related to quality in teaching by various dimensional measures. The effectiveness of the proposed model is validated by implementing data sources with a set of 60+ teachers’ and students’ open-ended questionnaire surveys from a university.
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Comparison according to gender and year of study regarding staff attitudes and behaviours and teaching quality.
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BackgroundThe learning environment in medical education is crucial for student development, encompassing social, psychological, and physical aspects that significantly affect learning. This study aimed to assess undergraduate medical students’ perception of the orthopaedic ward’s learning environment and examine the factors influencing their overall satisfaction during clinical rotation.MethodsThis cross sectional quantitative study was conducted in a private medical college in Pakistan. Data was collected through a pre-validated questionnaire, "The Healthcare Education Micro-Learning Environment Measure (HEMLEM)." Data analysis was done using SPSS version 23 software.ResultsA total of 205/300 students (response rate 68.33%) [103 (50.2%) males and 102(49.85) females] participated in this survey. Notably, 116 (56.6%) appreciated the ward’s welcoming, friendly, and open atmosphere, and 114(55.6%) of the respondents appreciated the ward culture where they felt free to ask questions or comment. Additionally, 111(54.7%) appreciated the faculty’s enthusiasm for teaching. A comparison between male and female students showed significantly higher satisfaction among males regarding staff attitudes and behaviours (p < .019).ConclusionUndergraduate students held a predominantly positive view of the orthopaedic ward’s learning environment, with differences observed based on gender and year of study. The study highlights the importance of both staff attitude and teaching quality in shaping the educational experience. It suggests that medical institutions should focus on enhancing teaching skills among clinicians to improve learning experiences and ultimately benefit patient care and the healthcare system.
According to the classroom collaboration management systems market research, Technavio’s market research analysts predict the global classroom collaboration management systems market to grow at a CAGR of close to 19% during the forecast period.
Classroom collaboration management systems market growth
Increased adoption of synchronous e-learning in educational institutions has significantly influenced the classroom management systems market growth. The software is likely to penetrate the education sector as many educational institutions are deploying it to improve the quality and effectiveness of e-learning. Apart from this, rising need for controlled lecture sessions through the software is expected to make significant changes in the methods of conducting classroom sessions. However, the many costs involving setup and installation of the software in classrooms act as an impediment to the market growth. Market vendors will look to work around costs incurred by education intuitions related to training teachers and IT staff which is a necessity for schools and colleges to implement.
How are collaboration management systems useful?
The classroom collaboration management system is an effective tool for managing classes using online modes of teaching. Online classroom structures typically require students to access digital content with the help of computers and tablets, thereby enhancing interactivity and real-time knowledge sharing.
As learning abilities and levels of monitoring differ for every student, it is essential for educators to implement classroom collaboration management software to facilitate collaborative learning within the required timeframe and curriculum. With the help of collaborative systems, teachers can easily identify challenges faced by students in understanding subjects and complex topics. It helps develop mechanisms to tackle the same. Hence, the software empowers teachers to create classes as per the need of students and tweak it as and when required.
Classroom collaboration management systems market by end-user
Higher Education
Primary Education
Based on the classroom management systems industry report, the higher education segment is witnessing healthy growth because of many new universities opening up in the market. These universities are recruiting course designers, app designers, and other IT staff to increase the volume and variety of online courses by incorporating new learning models. Therefore, universities and colleges are expected to invest in collaborative software and solutions over the next four years.
classroom collaboration management systems forecast as per geographies
North America
Europe
APAC
ROW
North America emerged as the largest region for classroom collaboration management systems with over 50% of the overall market shares in 2014. There is greater emphasis on e-learning in the region along with the development of various new forms of education such as blended learning in schools and colleges that accelerate the adoption of classroom management systems. North America was followed by Europe and APAC respectively. APAC constitutes many emerging markets with high growth potential in the education sector.
Classroom collaboration management systems market value for vendors
Dell
HP
Stoneware
Market vendors are keen to leverage the opportunity presented by the rise in virtual schools during the forecast period. It is predicted to re-define the classroom learning experience with the aid of different types of content such as video, audio, and simulation while facilitating real-time interactive sessions with fellow learners and trainers from different regions under one platform.
Key questions answered in the report
What are the key factors driving the classroom collaboration management systems market?
What are the key market trends impacting the growth of the connected classroom collaboration management systems market?
What are the various opportunities and threats faced by the vendors in the classroom collaboration management systems market?
Trending factors influencing the market shares for the classroom collaboration management systems market?
Market shares for North America, Europe, APAC, and ROW?
Key outcome of the five forces analysis on the classroom collaboration management systems market?
Growth forecast of the classroom collaboration management systems market?
Technavio also offers customization on reports based on specific client requirement.
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Smart Classroom Market in Japan 2015-2019
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This table contains data on the percent of population age 25 and up with a four-year college degree or higher for California, its regions, counties, county subdivisions, cities, towns, and census tracts. Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information on the data table and a data dictionary can be found in the Data and Resources section. The educational attainment table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf
The format of the educational attainment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.
The Aalto University Student Union Member Survey examined the student union members' experiences and opinions regarding the usefulness and quality of the services provided by Aalto University Student Union (AYY) and AYY's communication channels. Main themes of the survey included housing, AAY's communication channels and services, and participation in student affairs and activities. The research was carried out by the Research Foundation for Studies and Education (Otus) and funded by AAY. First, the respondents were asked to provide information about their studies at Aalto University and their current housing situation, and to evaluate their satisfaction with the quality of their current housing. They were also asked about the length of their commute and how burdensome they found it. Views on shared housing were examined with questions on whether the respondents had ever lived in a shared student apartment or shared housing, which factors had influenced their decision to live or to not live in shared housing, and what their attitudes towards shared housing were. The importance of facilities (e.g. club rooms, sports facilities), residential activities, events and common spaces in the vicinity of the respondents' home and in their residential area were investigated. Views on how location contributed to the quality of housing and the factors based on which the respondents made study-related housing choices were also charted. Next topic was the use of AAY's communication channels. The respondents were asked about the frequency with which they used AAY's communication channels (e.g. AAY's website, mailing lists, weekly newsletters, Facebook, Instagram), which channels they primarily used to look for information about student union activities, and through which channels they would like to receive information on student union services. Further questions focused on general use of social media channels, which of these channels they would like to use to keep in touch with AAY, and the kind of information and content they would be interested in receiving from the student union. Experiences and opinions regarding services provided AAY were also examined. The respondents were asked which services provided (e.g. rental housing, legal protection counselling, rental recreational facilities, events) they had used in the past six months and how useful they found the student union services. Opinions on the usefulness of several potential services, the opening hours of the Otaniemi Services Office, and the respondents' satisfaction with their latest service point visit were investigated. Additionally, the respondents were asked about their membership and participation in associations within the student union, what kind of student events they attended or would like to attend, their participation in events organised by AAY, and their opinions on AAY's or the Aalto community's student events. The next set of questions focused on the problems the respondents had faced in their daily life as students, for instance, in matters related to their finances, housing, teaching or facilities at the university. Finally, the respondents were asked to identify the ways in which they thought they could influence student affairs and activities, whether they were interested in acting as student representatives in university administration, and whether they had voted in Representative Council elections. Background variables included variables related to the respondent's housing situation, student status, educational progression, mother tongue, gender, age group, and identification with a minority group.
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Undergraduate education is very important for higher education. Among the factors affecting the quality of undergraduate education, teaching quality is the most important factor. At present, an important issue that affects teaching quality is insufficient teaching investment. An open-ended questionnaire survey was conducted on 62 faculty members and 65 university students in China. Results found that the undergraduate teaching investment of faculty members mainly consists of four parts: workload investment, ability investment, energy investment, and teaching emotional investment. A preliminary test was conducted on 342 faculty members, and the results of an exploratory factor analysis supported the proposed four-dimensional teaching investment model. The test involved 293 faculty members and confirmatory factor analysis showed that the four-dimensional model had a good degree of fit. A further criterion-related test showed that the four-dimensional teaching investment of faculty members has a significant positive correlation with classroom management, clarity of teaching materials, teacher–student interaction, teaching strategies, and skills application, and work engagement. These results show that the proposed four dimensions of teaching investment effectively measure the teaching investment of faculty members, specifically the indicators of teaching investment and that they promote the development of faculty teaching investment research.
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The UAE private K12 education market, valued at $6.67 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 7.50% from 2025 to 2033. This expansion is fueled by several key factors. A rising expatriate population, coupled with increasing disposable incomes among UAE residents, fuels demand for high-quality private education. Furthermore, the government's emphasis on education reform and its commitment to attracting global talent contribute significantly to market growth. Parents prioritize international curricula, such as American, British, and Indian, seeking globally recognized qualifications for their children. This preference drives the market segmentation, with American and British curricula likely holding the largest shares. The competitive landscape features established players like GEMS Education, Nord Anglia Education, and several international school chains, alongside smaller, specialized institutions. Competition is intense, driving innovation in teaching methodologies, technology integration, and extracurricular activities to attract students. Potential restraints might include fluctuating oil prices impacting disposable income and the potential for government regulations to influence tuition fees. However, the long-term outlook remains positive, given the UAE's economic diversification strategies and ongoing investments in its human capital. The market segmentation highlights significant opportunities for growth within specific curricula and school levels. The Kindergarten to Secondary segments demonstrate consistent demand, although the intermediary (middle school) segment might experience fluctuating growth based on population demographics. The presence of multiple international curricula allows for niche market targeting, suggesting potential for specialized schools catering to specific cultural or academic preferences. Geographic variations within the UAE's regions (North, West, South, East) may also lead to localized variations in market dynamics, with potential for higher growth in specific areas based on population density and socioeconomic factors. Future growth projections will likely be influenced by factors such as government policies on education spending, the influx of skilled workers, and the evolution of technological advancements within the education sector. Therefore, a strategic approach focusing on delivering high-quality education, catering to diverse needs, and adapting to technological advancements will be crucial for success in this dynamic market. Recent developments include: May 2023: Glendale International School opened its doors to students aged 3 to 11 in Dubai. Singapore-based Global Schools Foundation announced the launch. Sprawling over 20,000 square meters, the new premises can accommodate 3000 students., March 2023: Kings’ Education, Dubai, announced a partnership with Leap, the San Francisco headquartered end-to-end study abroad platform. This helps the company to better cater to their students.. Key drivers for this market are: Government Initiatives to Achieve High Education Standards is Driving Market Growth, Growing Preferences for Private Education is Driving the Market. Potential restraints include: Government Initiatives to Achieve High Education Standards is Driving Market Growth, Growing Preferences for Private Education is Driving the Market. Notable trends are: Increased Rate of Population Growth, including Expatriates.
Digital Educational Publishing Market Size 2024-2028
The digital educational publishing market size is forecast to increase by USD 26.19 billion at a CAGR of 22.9% between 2023 and 2028.
The market is experiencing significant growth driven by innovative marketing strategies employed by s to engage students and educators in the digital learning space. The integration of data analytics in digital education is a key trend, enabling personalized learning experiences and improved educational outcomes. Additionally, the increasing availability of open-source educational materials is challenging traditional publishing models and fostering competition. s must navigate these trends and challenges to capitalize on the market's potential. Strategic partnerships, investment in technology, and a focus on data-driven content are essential for success in this dynamic market. Companies seeking to capitalize on opportunities in digital educational publishing must stay abreast of emerging trends and be agile in their approach to meet the evolving needs of educators and students.
What will be the Size of the Digital Educational Publishing Market during the forecast period?
Request Free SampleThe market is experiencing significant growth as middle and primary schools adopt digital content for remote learning facilities. Augmented reality (AR) technology is playing a pivotal role in this transition, enhancing the learning experience in high schools and universities. Subscription plans for e-books and digital assessment books are becoming increasingly popular, enabling self-assessment methods and fostering digital literacy. Digital media and technology are transforming traditional learning methods, with smartphone usage soaring in emerging nations. AR and security are key concerns for s, leading to innovations in data observability and open-source platforms. Blinkist, an innovative platform offering condensed non-fiction books, is gaining traction in the market. Universities and high schools are embracing online learning, while digital textbooks are replacing traditional ones. Self-assessment methods and free-source platforms are providing cost-effective solutions for students, making education more accessible and convenient. The integration of AR in digital content is expected to further revolutionize the educational landscape.
How is this Digital Educational Publishing Industry segmented?
The digital educational publishing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ProductDigital textbooksDigital assessment booksOthersEnd-userK-12Higher educationCorporate and skill-basedGeographyNorth AmericaUSCanadaEuropeGermanyUKAPACChinaSouth AmericaMiddle East and Africa
By Product Insights
The digital textbooks segment is estimated to witness significant growth during the forecast period.In the contemporary education market, digital textbooks have emerged as a game-changer, providing students with an interactive and portable learning experience. These textbooks can be accessed on various devices, such as tablets, laptops, and smartphones, enabling students to study anytime and anywhere, without the burden of carrying heavy books. The convenience extends beyond physical mobility, as digital textbooks offer dynamic and multimedia-rich content. Videos, animations, and interactive quizzes enhance the learning experience, making it more engaging and effective. Moreover, digital textbooks cater to diverse learning settings and consumer reading interests. For instance, corporate or skill-based learning can benefit from digital content, while poor countries can access educational materials through free-source platforms. Digital media and open-source resources offer cost-effective alternatives to traditional printed books. Higher education institutions have adopted digital textbooks and subscription plans, allowing students to access a wealth of knowledge at their fingertips. Augmented Reality (AR) and self-assessment methods have become essential components of digital learning, providing learners with a more and personalized experience. The education industry's shift towards digital content is driven by various factors, including the increasing use of smart technology, stable internet access, and the need for 21st-century capabilities. Data engineers and digital literacy have become crucial skills in the end-user industry, emphasizing the importance of quality educational content. The market trends reflect the integration of digital technology in education, with top s offering open-source e-textbooks and podcasts on open-source platforms. Governments and educational institutes are investing in online learning and remote learning facilities, recognizing the potential of digital technology to enhance the quali
U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.
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This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success.
Attribute | Description |
---|---|
Hours_Studied | Number of hours spent studying per week. |
Attendance | Percentage of classes attended. |
Parental_Involvement | Level of parental involvement in the student's education (Low, Medium, High). |
Access_to_Resources | Availability of educational resources (Low, Medium, High). |
Extracurricular_Activities | Participation in extracurricular activities (Yes, No). |
Sleep_Hours | Average number of hours of sleep per night. |
Previous_Scores | Scores from previous exams. |
Motivation_Level | Student's level of motivation (Low, Medium, High). |
Internet_Access | Availability of internet access (Yes, No). |
Tutoring_Sessions | Number of tutoring sessions attended per month. |
Family_Income | Family income level (Low, Medium, High). |
Teacher_Quality | Quality of the teachers (Low, Medium, High). |
School_Type | Type of school attended (Public, Private). |
Peer_Influence | Influence of peers on academic performance (Positive, Neutral, Negative). |
Physical_Activity | Average number of hours of physical activity per week. |
Learning_Disabilities | Presence of learning disabilities (Yes, No). |
Parental_Education_Level | Highest education level of parents (High School, College, Postgraduate). |
Distance_from_Home | Distance from home to school (Near, Moderate, Far). |
Gender | Gender of the student (Male, Female). |
Exam_Score | Final exam score. |