During 2020 in France, many training courses were forced to switch from face-to-face to virtual classes. Thus, virtual classes were judged to be ** percent effective. Furthermore, while face-to-face attendance was impossible to provide during confinement, one would have expected that this lack would only enhance his value.
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Historical Dataset of Success Virtual Learning Centers Of Michigan is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,American Indian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023),Reading and Language Arts Proficiency Comparison Over Years (2017-2022),Math Proficiency Comparison Over Years (2017-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2017-2022),Graduation Rate Comparison Over Years (2018-2022)
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The online higher education market is experiencing robust growth, fueled by increasing accessibility, affordability demands, and technological advancements. The market's Compound Annual Growth Rate (CAGR) of 19.82% from 2019 to 2024 suggests a significant expansion, likely driven by factors such as the rising adoption of online learning platforms, flexible learning options catering to working professionals and geographically dispersed students, and the increasing recognition of online degrees by employers. The market segmentation, encompassing diverse types of online programs (e.g., bachelor's, master's, certificate programs) and applications across various fields (e.g., business, technology, healthcare), contributes to its broad appeal and expansion. Major players like American Public Education, Adtalem Global Education, and others are deploying competitive strategies focused on enhancing the learning experience, improving student support services, and expanding their program offerings to maintain a competitive edge. The geographic distribution indicates strong growth across North America and Asia-Pacific, driven by higher internet penetration and a growing young population seeking educational opportunities. However, challenges remain, including concerns about the perceived quality of online education compared to traditional institutions, the digital divide limiting access for certain demographics, and the need for continuous investment in technology and curriculum development to meet evolving learner needs. Looking ahead to 2033, the online higher education market is projected to maintain significant momentum, further expanding its reach and influence. Continued technological innovation, including advancements in virtual reality and artificial intelligence, will enhance the learning experience and attract a broader range of students. The growing importance of lifelong learning and upskilling will also drive demand for online courses and degree programs. Competitive pressures will likely lead to further innovation in pricing models, program offerings, and marketing strategies, fostering a dynamic and evolving market landscape. To fully capitalize on this growth, educational institutions must prioritize creating engaging and effective online learning environments, addressing concerns around quality and accessibility, and adapting to the ever-changing needs of students in a globally competitive market.
North America Virtual Schools Market Size 2025-2029
The virtual schools market in North America size is forecast to increase by USD 2.24 billion billion at a CAGR of 14.2% between 2024 and 2029.
The market is experiencing significant growth, driven by the need for cost-effective teaching models and the emergence of E-learning via mobile devices. The increasing popularity of open-source learning content is another key trend fueling market expansion. With budget constraints and the desire for flexible learning options, virtual schools offer an attractive solution for students and educators alike.
This shift towards virtual education is transforming the education landscape, presenting both opportunities and challenges.Staying abreast of these market dynamics is essential for stakeholders looking to capitalize on the potential of this rapidly evolving sector.
What will be the Size of the Market During the Forecast Period?
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The market is experiencing significant growth, driven by the increasing adoption of online collaboration tools and educational innovation. Virtual school management systems facilitate online school choice for students, enabling personalized instruction and improved student retention. Educational research highlights the effectiveness of digital accessibility and virtual learning technology integration in enhancing learning outcomes. Student engagement strategies, such as educational video and interactive simulations, are essential components of virtual school design. The future of education lies in the development of digital learning ecosystems, which incorporate online reputation management, equity in education, and learning analytics. Virtual schools require robust online learning infrastructure to support student support systems and ensure digital accessibility for all students.
The integration of learning technology and online learning platforms into virtual schools is crucial for delivering effective instruction and promoting student success. Virtual school governance is a critical aspect of the virtual schools market, ensuring the provision of high-quality education and addressing the digital divide. Online learning platforms must prioritize student engagement and provide effective student support systems to mitigate potential challenges and promote positive learning experiences. The use of virtual schools and online learning infrastructure offers significant benefits, including increased flexibility, accessibility, and personalized instruction. However, challenges remain, including the need for effective online reputation management and ensuring equity in education.The market will continue to evolve, with a focus on developing innovative learning technologies and digital content to enhance the virtual learning experience.
How is this market segmented and which is the largest segment?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
For-profit EMO
Non-profit EMO
Application
Elementary schools
Middle schools
High schools
Adult education
Delivery Mode
Online Courses
Learning Management Systems
Mobile Learning
Virtual Classrooms
Subject Area
STEM
Business & Management
Healthcare
Creative Arts
Deployment Type
Cloud-Based
On-Premises
Geography
North America
US
Canada
Mexico
By Type Insights
The for-profit emo segment is estimated to witness significant growth during the forecast period.
For-profit Education Management Organizations (EMOs) are private entities that offer administrative and operational support, curriculum development, and teacher training to schools or districts while aiming for profit generation. These organizations have extensive experience and expertise in delivering virtual education programs. They invest in advanced technology infrastructure, learning management systems, and instructional resources to create engaging virtual learning experiences for students. For-profit EMOs prioritize personalized learning, student engagement, and parent involvement through digital textbooks, online curriculum, and interactive digital learning platforms. They also emphasize student success by providing online tutoring, adaptive learning, and data analytics. Virtual classrooms and mobile learning enable students to access education from anywhere, while virtual field trips offer immersive educational experiences.
For-profit EMOs build educational partnerships to expand their offerings, including virtual labs, online libraries, and virtual school networks. They also focus on online marketing, branding, and student recruitment to attract a diverse student population. Higher education institutions collaborate with for-profit
According to a survey in 2021, ** percent of Filipino respondents perceive the current distance learning model was around ** to ** percent effective. On the other hand, ** percent of respondents stated that such learning model is ** to 100 percent effective. Distance learning had been implemented in the Philippines as a precaution towards the spread of the coronavirus (COVID-19).
Despite the growing importance of digitalization in schools, among the Latin American and Caribbean OECD partner and member states, none had the majority of students in schools considered by their principals as having an effective online learning support platform available. These figures were among the 2018 results presented as part of the Programme for International Student Assessment (PISA). Uruguay led the region, with a share of 47.4 percent of students, while in Argentina this figure was below one fifth of students.
Distance Learning Market Size 2024-2028
The distance learning market size is forecast to increase by USD 149.23 billion at a CAGR of 9.65% between 2023 and 2028.
The growing demand for distance learning, fueled by the continuous development of technology, is a key driver of the distance learning market. As technology improves, online education becomes more accessible, engaging, and effective, allowing students to learn remotely with ease. The integration of advanced tools such as video conferencing, AI-driven assessments, and interactive content is further enhancing the appeal of distance learning.
In North America, the market is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With a growing emphasis on flexible, personalized learning experiences, including self-paced e-learning, institutions are increasingly offering distance learning programs that cater to diverse student needs. This trend is expected to continue, contributing to the market's expansion in the region.
What will be the Size of the Distance Learning Market During the Forecast Period?
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The market is experiencing significant growth due to the increasing adoption of remote learning solutions among K-12 students and higher education students. Online assessments, video conferencing sessions, and virtual schools are becoming popular flexible education options for students who require flexibility in their learning schedules. Website-based mediums and application-based mediums, such as e-learning platforms, are increasingly being used to deliver educational programs. Internet access is essential for distance learning, making online learning platforms an indispensable tool for universities and colleges.
Market Segmentation
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
Type
Traditional
Online
Method
Synchronous distance learning
Asynchronous distance learning
Geography
North America
Canada
US
Europe
Germany
UK
APAC
China
Middle East and Africa
South America
By Type Insights
The traditional segment is estimated to witness significant growth during the forecast period. The market encompasses various methods and technologies, including gamification, personalized learning pathways, educational environments, and remote learning techniques. Traditional distance learning, characterized by asynchronous online courses, pre-recorded lecture books, and minimal instructor interaction, remains a significant revenue contributor. This approach caters to a broad audience, particularly those with limited access to digital devices or high-internet connectivity. Academic institutions and the government sector continue to offer traditional distance learning programs, such as those provided by the Open University in the UK via mail. However, corporate blended learning, online education solutions, and personalized learning solutions are gaining popularity due to their interactive and technologically advanced nature.
These methods include learning management systems, virtual classrooms, mobile e-learning platforms, and cloud-based e-Learning platforms. Moreover, the use of intranet connection, computers, tutorials, podcasts, recorded lectures, e-books, and machine learning technology enhances the learning experience. The market also serves academic users and corporate users through service providers and content providers. The increasing literacy rate, internet penetration, and the need for continuous skill upgrading further fuel the market's growth.
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The traditional segment accounted for USD 152.29 billion in 2018 and showed a gradual increase during the forecast period.
Regional Insights
North America is estimated to contribute 34% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The market in North America is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With the rise of gamification, personalized learning pathways, and educational environments, online education solutions have become increasingly popular. Academic institutions and the government sector are expanding their digital services, offering distance learning programs through Learning Management Systems and cloud-based e-Learning platforms. Remote learning methods, such as pre-recorded lectures, tutorials
Online college courses are a rapidly expanding feature of higher education, yet little research identifies their effects relative to traditional in-person classes. Using an instrumental variables approach, we find that taking a course online, instead of in-person, reduces student success and progress in college. Grades are lower both for the course taken online and in future courses. Students are less likely to remain enrolled at the university. These estimates are local average treatment effects for students with access to both online and in-person options; for other students, online classes may be the only option for accessing college-level courses.
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Dataset name: survey_results.csv
Version: 1.0
Data collection period: 11/16/2018-12/17/2018
Dataset Characteristics: Multivalued
Number of Instances: 720
Number of Attributes: 45
Missing Values: Yes
Area(s): Health and education
Sources:
Description: The dataset survey_results.csv comprises survey data from the following sources: AVASUS, CNES, CBO, and a questionnaire applied to 720 AVASUS course participants. The objective of this paper was to assess the impacts of the educational offerings on health services and AVASUS course participants' professional practice. A total of 720 AVASUS users enrolled in different courses answered the questionnaire. These data can be used for impact analysis in the Brazilian health system, especially those related to health training. Finally, the data dictionary is presented in Table 1.
References
[1] Brasil (2021a). Ambiente virtual de aprendizagem do sus - avasus. Home page Available from: https://avasus.ufrn.br/ .
[2] Brasil (2021b). Classificação brasileira de ocupações - CBO. Available from: http://www.mtecbo.gov.br/cbosite/pages/home.jsf .
[3] Brasil (2021c). Cadastro nacional de estabelecimentos de saúde - CNES. Available from: http://cnes.datasus.gov.br/ .
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The results show that online learning is considered less effective by students in remote areas; this happens because the communication network and infrastructure do not support them to follow online learning. After conducting this research, the assumptions about the displeasure or reduced effectiveness of online learning in this area proved correct and significant.
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The dataset includes the data obtained for the randomized controlled study conducted from September to October 2018 in Universidad Nacional de La Matanza, Buenos Aires, with the aim to confirm efficacy of the web-based platform e-status in Probability and Statistics courses.
Results appear in the manuscript Measuring the effectiveness of online problem solving for improving academic performance in a probability course, from the same authors. Hopefully published in the coming months.
Students data have been anonymised, by removing ID numbers. Moreover, gender of students has been deleted, and age categorized into one of three classes (until 22 years, between 23 and 25, more than 25).
In 2023, seven percent of students strongly agreed that it was worthwhile for borrowers to take out loans for education after high school that is a predominantly online program in the United States. In comparison, 12 percent strongly disagreed with this belief.
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Data were collected through direct distribution and collection from students and graduate students in Hanoi and Ho Chi Minh City, Vietnam from January to March 2023. The data set includes 255 valid responses
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The interview data is from teachers' and students' perception of effectiveness and challenges of online learning,
Virtual Schools Market Size 2024-2028
The virtual schools market size is forecast to increase by USD 4.57 billion at a CAGR of 15.2% between 2023 and 2028. In the evolving education landscape, virtual schools are gaining significant traction as the next level in delivering quality education. Active student participation is a key trend in virtual classroom-based education, ensuring tempo and success for learners. Quick delivery of curriculum is another driving factor, as students and parents seek flexible and efficient educational solutions. The integration of 5G network facilities and seamless internet connectivity further enhances the virtual school experience. The designing stages of e-learning courses include consultation with Subject Matter Experts (SMEs) on content creation. However, the high cost associated with virtual schools may pose a challenge for some students and families. To stay competitive, virtual schools must continually innovate and provide value-added services, ensuring a positive return on investment for students.
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The market is experiencing significant growth as technology continues to revolutionize the education sector. With the widespread availability of the internet and cell phones, edtech start-ups are introducing innovative solutions for distance learning courses. This transformation is particularly crucial for low-income students who may not have access to traditional educational institutions. Digital disruption is at the forefront of this change, with interactive teaching methods becoming increasingly popular. Cloud-based arrangements enable schools, colleges, and universities to offer full-time and sequential programs, as well as synchronous and asynchronous instruction.
Moreover, new technologies, such as artificial intelligence (AI) and machine learning, are being integrated into virtual schools to enhance the learning experience. AI and machine learning are used to personalize learning, provide automatic translation, and offer localization capabilities. These features cater to the diverse needs of students, ensuring they receive a high-quality education regardless of their geographical location. Virtual schools provide pupils with the opportunity to learn from teachers and peers in a collaborative environment. The use of interactive teaching methods and technology allows for a more engaging learning experience, which is essential for students preparing for competitive exams.
Furthermore, the benefits of virtual schools extend beyond the classroom. Teachers can access a wealth of resources and tools to create effective lesson plans and assess student progress. Additionally, virtual schools offer flexibility, enabling students to learn at their own pace and on their own schedule. In conclusion, the market is revolutionizing education through the use of the internet, cell phones, and cloud-based arrangements. Interactive teaching methods, AI, and machine learning are just a few of the new technologies being integrated into virtual schools to enhance the learning experience for students. This transformation is particularly crucial for low-income students who may not have access to traditional educational institutions.
Market Segmentation
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Application
Elementary schools
Middle schools
High schools
Adult education
Type
For-profit EMO
Non-profit EMO
Geography
North America
Canada
US
Europe
Germany
APAC
China
Japan
South America
Middle East and Africa
By Application Insights
The elementary schools segment is estimated to witness significant growth during the forecast period. In the market, there has been a notable rise in the popularity of virtual schools for elementary education. These schools utilize the Internet and cloud-based arrangements to deliver personalized learning experiences. With cell phones and other digital devices becoming increasingly common among students, virtual education provides a flexible and convenient solution for elementary school children.
Furthermore, the individualized approach offered by virtual schools caters to diverse learning styles, ensuring each student receives the attention they need. Furthermore, virtual education platforms expand the curriculum choices for students, enabling them to access specialized programs and enrichment opportunities that may not be available in traditional schools.
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The Elementary schools segment was valued at USD 972.50 million in 2018 and showed a gradual increase during the forecast period.
Regional Insights
North America is estima
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Today’s learners learn from various online and offline sources in self-directed as well as instructor led environment. They are faced with the challenge of managing variety and volume of information that they are exposed to because of the proliferation of various knowledge resources. Nevertheless, the acquisition of information, analyzing it and applying the knowledge depends upon the learner’s maturity level, preparedness and nature of the subject. The researchers tried to understand how the effectiveness of self-directed learning and instructor led learning varies with the above-mentioned parameters. The researchers have used the method of experiment with first and second year post graduate students at a business school to investigate what determines the learning effectiveness in self-directed and instructor led learning environment.
K-12 Blended E-Learning Market Size 2025-2029
The k-12 blended e-learning market size is forecast to increase by USD 25.73 billion, at a CAGR of 15.2% between 2024 and 2029.
The market is witnessing significant growth, driven by the increasing need for cost-effective teaching models and the emergence of learning via mobile devices. Schools and educational institutions are increasingly adopting blended e-learning to reduce operational costs and enhance student engagement. This approach combines traditional classroom teaching with digital content and interactive tools, offering flexibility and personalized learning experiences. Moreover, the availability of vast open-source learning content further fuels market growth. Educational institutions can access and utilize a wealth of free digital resources, supplementing their existing curriculum and catering to diverse student needs. However, challenges persist in the form of unequal access to technology and internet connectivity, particularly in underprivileged areas. Additionally, ensuring data security and privacy, as well as addressing the digital divide, remain critical issues that require effective solutions to ensure equitable access to quality education. Companies seeking to capitalize on market opportunities should focus on developing innovative, cost-effective, and secure blended e-learning solutions while addressing these challenges to cater to the evolving educational landscape.
What will be the Size of the K-12 Blended E-Learning Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, integrating various components to enhance educational experiences. Virtual classrooms, interactive simulations, and cloud-based solutions facilitate curriculum development and alignment. Collaborative learning tools and teacher resources enable effective instruction, while homework platforms and interactive whiteboards support student engagement. Personalized learning and video conferencing bridge the gap between K-12 education and higher education. Usability testing and student performance analytics ensure optimal learning outcomes. Implementation strategies, gamified learning, and privacy compliance address the unique needs of secondary education and special education. Data security and training and development programs ensure the effective use of digital curriculum. Technical support, software updates, and accessibility features maintain the functionality of blended learning platforms.
On-premise solutions and educational software cater to diverse technology infrastructure requirements. Assessment tools and simulation software provide valuable insights into student progress. Online tutoring, educational games, and student success initiatives foster engagement and promote academic achievement. Hybrid solutions and mobile learning cater to the evolving needs of modern education. Adaptive learning technologies and hardware requirements adapt to the individual learning styles of students. Bandwidth requirements and deployment models ensure seamless integration into various educational settings. Standards-based education and e-learning content creation maintain the focus on academic excellence.
How is this K-12 Blended E-Learning Industry segmented?
The k-12 blended e-learning industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductHardwareContentSolutionsOthersApplicationPre-primary schoolPrimary schoolMiddle schoolHigh schoolGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)
By Product Insights
The hardware segment is estimated to witness significant growth during the forecast period.In the realm of K-12 education, the integration of technology has transformed traditional classroom learning into a more engaging and effective experience through blended e-learning. This approach combines virtual classrooms, interactive simulations, curriculum development, and cloud-based solutions to foster collaborative learning. Interactive whiteboards and personalized learning tools, such as video conferencing and homework platforms, enable real-time interaction and customized instruction. Professional development for teachers is crucial in this digital landscape, ensuring they are adequately trained to use these tools and resources effectively. Gamified learning and adaptive technologies cater to diverse learning styles and abilities, while privacy compliance and data security maintain student information protection. Hardware requirements include laptops, tablets, and interactive whiteboards, with companies like S
Opportunity-focused, high-growth entrepreneurship and science-led innovation are crucial for continued economic growth and productivity. Working in these fields offers the opportunity for rewarding and high-paying careers. However, the majority of youth in developing countries do not consider either as job options, affecting their choices of what to study. Youth may not select these educational and career paths due to lack of knowledge, lack of appropriate skills, and lack of role models. We provide a scalable approach to overcoming these constraints through an online education course for secondary school students that covers entrepreneurial soft skills, scientific methods, and interviews with role models.
The study comprises three experimental trials provided Before and during COVID-19 pandemic in different regions of Ecuador. This catalog entry includes data from Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021. The data from the other two experiments are also available in the catalog.
Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021
A randomized experiment conducted in high schools in Ecuador as rapid fire response to the hurdles of COVID-19 for the Coastal Educational regimes schools (Régimen Costa); Students finish the program in December 2020). The intervention is an online education course that covers entrepreneurial soft skills, scientific methods, and interviews with role models. This course is taken by students at home during the COVID-19 pandemic under teachers’ supervision. We work mostly with 14-22-year-old students (16,441 students) in 598 schools assigned to the program. We randomly assign schools either to treatment (and receiving the entrepreneurship courses online), or placebo-control (receiving a placebo treatment of online courses from standard curricula) groups. We also cross-randomize the role models and evaluate set of nimble interventions to increase take-up. The details of intervention can be found in AEA registry: Asanov, Igor and David McKenzie. 2021. Scaling up virtual learning of online learning in high schools. AEA RCT Registry. March 23 Merged datasets from the baseline, midline, endline survey for each experiment administrated through online learning platform in school during normal educational hours before COVID-19 pandemic or at student’s home during COVID-19 pandemic are documented here. The detailed information about the questioner and each item can be found in the codebooks (Baseline 1, Baseline 2, Midline, Endline 1, Endline 2) for corresponding experiments.
Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021
We cover students of last year of education in School K12 of technical specialization (Bachillerato técnico) that study in Coastal Educational Regime (Régimen Costa) 2020/2021, suppose to finish their education in school in March 2021 and we capable to register on the online platform. The schools in highlands educational regime covered in this experiment scatter over the next educational zones 1, 2, 3, 4, 5, 6, 7, 8, 9.
Taken together in the experiment 2,3 we offered the program across all Ecuador to schools that have technical specialization track.
Student
Sample survey data [ssd]
All students in selected schools who were present in classes filled out the baseline questionnaire
Internet [int]
Questionnaires We execute three main sets of questioners. A. Internet (Online Based survey)
The survey consists of a multi-topic questionnaire administered to the students through online learning platform in school during normal educational hours before COVID-19 pandemic or at home during the COVID-19 pandemic. We collect next information:
1. Subject specific knowledge tests. Spanish, English, Statistics, Personal Initiative (only endline), Negotiations (only endline).
2. Career intentions, preferences, beliefs, expectations, and attitudes. STEM and entrepreneurial intentions, preferences, beliefs, expectations, and attitudes.
3. Psychological characteristics. Personal Initiative, Negotiations, General Cognitions (General Self-Efficacy, Youth Self-Efficacy, Perceived Subsidiary Self-Efficacy Scale, Self-Regulatory Focus, Short Grit Scale), Entrepreneurial Cognitions (Business Self-Efficacy, Identifying Opportunities, Business Attitudes, Social Entrepreneurship Standards).
4. Behavior in (incentivized) games: Other-regarding preferences (dictator game), tendency to cooperate (Prisoners Dilemma), Perseverance (triangle game), preference for honesty, creativity (unscramble game).
5. Other background information. Socioeconomic level, language spoken, risk and time preferences, trust level, parents background, big-five personality traits of student, cognitive abilities.
Background information (5) collected only at the baseline.
B. First follow-up Phone-based Survey Zone 2, Summer (Phone Based).
The survey replicates by phone shorter version of the internet-based survey above. We collect next information:
1. Subject specific knowledge tests.
2. Career intentions, preferences, beliefs, expectations, and attitudes.
3. Psychological characteristics
C. (Second) Follow-up Phone-Based Survey, Winter, Zone 2, Highlands Educational Regime.
We execute multi-topic questionnaire by phone to capture the first life-outcomes of students who finished the school. We collect next information:
Data Editing A. Internet, Online-based surveys. We extracted the raw data generated on online platform from each experiment and prepared it for research purposes. We made several pre-processing steps of data: 1. We transform the raw data generated on platform in standard statistical software (R/STATA) readable format. 2. We extracted the answer for each item for each student for each survey (Baseline, Midline, Endline). 3. We cleaned duplicated students and duplicated answers for each item in each survey based on administrative data, performance and information given by students on platform. 4. In case of baseline survey, we standardized items/scales but also kept the raw items.
B. Phone-based surveys. The phone-based surveys are collected with help of advanced CATI kit. It contains all cases (attempts to call) and indication if the survey was effective. The data is cleaned to be ready for analysis. The data is anonymized but contains unique anonymous student id for merging across datasets.
Online-controlled experiment evaluation - Data Set
Digital learning platforms are more and more used in blended classroom scenarios in Germany. However, as learning processes are different among students, adaptive learning platforms can offer personalized learning, e.g. by individual feedback and corrections, task sequencing, or recommendations. As digital learning platforms are already used in classroom settings, we propose the transformation of these plat-forms into adaptive learning environments. To measure the effectiveness and improvements achieved through the adaptions an online-controlled experiment design is created. In our experiment, we therefore investigate the effectiveness of different inter-ventions on a large user group in a four-month online-controlled experiment. For this purpose, the highly frequented German learning platform Orthografietrainer.net was transformed into an adaptive learning platform and users were randomly assigned to different interventions.
The experimental design is published here: N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,, SciTePress, 2022, ISBN 978-989-758-562-3
The architectural concept is published here: Rzepka, N., Simbeck, K., Müller, H.-G. & Pinkwart, N., (2022). Adaptive Learning as a Service – A concept to extend digital learning platforms?. In: Henning, P. A., Striewe, M.-0. 0. & Wölfel, M.-0. 0. (Hrsg.), 20. Fachtagung Bildungstechnologien (DELFI). Bonn: Gesellschaft für Informatik e.V.. (S. 237-238). DOI: 10.18420/delfi2022-049
The findings of this experiment are published here: tba
The code to this evaluation can be found on Zenodo: 10.5281/zenodo.7755546
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The online teaching and learning platform market is experiencing robust growth, projected to reach $7762 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 15.7% from 2019 to 2033. This expansion is fueled by several key drivers, including the increasing adoption of technology in education, the rising demand for flexible and accessible learning options, and the growing need for upskilling and reskilling in a rapidly evolving job market. The COVID-19 pandemic significantly accelerated this trend, highlighting the effectiveness and accessibility of online learning. Key trends shaping the market include the integration of advanced technologies such as artificial intelligence (AI) and virtual reality (VR) to enhance the learning experience, the rise of personalized learning platforms catering to individual student needs, and the increasing focus on gamification to improve engagement and knowledge retention. While challenges remain, such as ensuring equitable access to technology and addressing concerns about digital literacy, the market's overall trajectory remains positive. The competitive landscape is dynamic, with established players like Thinkific, Teachable, and Kajabi competing alongside newer entrants and specialized platforms focusing on specific niches within education. The substantial growth in the market is expected to continue through 2033, driven by ongoing technological advancements and the persistent demand for flexible education. The market segmentation likely includes various platform types (e.g., those for K-12, higher education, corporate training), pricing models (subscription, per-course), and target demographics (students, professionals). Geographic expansion will continue to play a key role, particularly in developing economies with increasing internet penetration. Successful platforms will likely prioritize user experience, robust content creation tools, effective marketing strategies, and strong customer support to maintain a competitive edge in this rapidly evolving market. The integration of analytics and data-driven insights will be crucial for personalization and continuous improvement.
During 2020 in France, many training courses were forced to switch from face-to-face to virtual classes. Thus, virtual classes were judged to be ** percent effective. Furthermore, while face-to-face attendance was impossible to provide during confinement, one would have expected that this lack would only enhance his value.