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This research intends to analyse the trend in educational technology (EdTech) over the last 20 years using systematic scientific mapping and bibliometric analysis and how it relates to the Indian context. Considering the anticipated growth in this field over the previous three years post-pandemic, an existing literature analysis is required. This study aims to map the existing intellectual structure in EdTech applications to extend the knowledge base further in this field. This study also intends to research how the Indian education sector compares in terms of the research output for the EdTech sector, considering the increased government focus on online learning as per the education policy in 2020. The study's findings will pave the way for sustainable research that will be extended in the future.

Bibliometric analysis is conducted on the manuscripts extracted from Web of Science databases for the last 20 years (from 2003 to 2023). This study uses a descriptive research approach for bibliometric analysis as, by nature, this is an exploratory investigation, and no physical or existing experiment can be performed on the quantification, characteristic or productivity of EdTech applications. VoS Viewer and R software are extensively considered for a detailed bibliometric analysis.

E-learning, blended learning and distance education emerged as the most frequently used keywords. The results reveal that technology adoption, higher education, technology and modelling are the most researched topics in this field.

This research is limited to the last 20 years' database obtained from the Web of Science database and limited to educational, management and operation databases only.

The paper intends to analyse the global scenario of EdTech research and ensures that the paper will effectively connect with researchers, educators, policymakers and practitioners from different parts of the world. The results derived from the bibliometric analysis, cluster analysis and identification of key authors, journals and countries can contribute towards the improved contribution in this area.

The paper discusses the research in EdTech over the last two decades and effectively tries to bridge the gap in global research. Integrating systematic scientific mapping and bibliometric analysis is an innovative way to assess the growth and impact of EdTech. Considering the post-pandemic scenario and the government's emphasis on online learning, these are consistent with current developments.

The unexpected outbreak of COVID-19 has expedited the trend toward online education. To facilitate undisruptive learning, EdTech companies are continuously working on providing solutions to restore teaching and learning practices. This has caused a significant behavioral shift of the investors in the EdTech market. This study aims to analyze the effects of Web Market Traffic on the increased number of investors funding an EdTech Company in the market.

By drawing on the multi-method web analytics approach, this study analyses the nexus between Web Market Traffic and Investor's Behavior in the US and India, proving the hypothesized relationship in the proposed Model using a data sample of 300 EdTech Players.

There is a significant difference between the investor's behavior in India and the US. This study shows that the investors in the US are more inclined towards investing in EdTech companies in comparison to India. The Results demonstrate that monthly visits of consumers and the number of acquisitions by players positively affect the investor's behavior, while bounce rates take a toll on the number of investors.

This Study suggests that EdTech investors in the US and India should harness Web Traffic to capture the EdTech market. Further, this study offers practical implications that EdTech players can use to attract potential investors and increase brand visibility by improving web market traffic parameters.

This paper's original contribution is to empirically shed light on the effects of web market traffic on the investor's behavior. The study emphasizes the quintessentiality of managing the bounce rates and monthly visits for an EdTech market to attract more investors and capital inflow that enhance brand visibility. The study found that the investors behave distinctly in the developed and emerging markets in the US and India.

The education sector is increasingly targeted by malicious cyber incidents, resulting in huge financial losses, cancelation of classes and exams and large-scale breaches of students’ and staff’s data. This paper aims to investigate education technology (EdTech) vendors’ responsibility for this cyber (in)security challenge, with a particular focus on EdTech in India as a case study.

Theoretically, building on the security economics literature, the paper establishes a link between the dynamics of the EdTech market and the education sector’s cyber insecurities and investigates the various economic barriers that stand in the way of improving EdTech vendors’ security practices. Empirically, the paper analyses publicly reported cyber incidents targeting the Indian education sector and EdTech companies in the past 10 years as published in newspapers, using the LexisNexis database. It also examines existing EdTech procurement challenges in India and elsewhere and develops a number of policy recommendations to address the misaligned incentives and information asymmetries between EdTech vendors and educational institutions.

Market forces alone cannot create sufficient incentives for EdTech vendors to prioritise security in product design. Considering the infant stage of the EdTech industry, the lack of evidence about the efficacy of EdTech tools, the fragmentation in the EdTech market and the peculiarities of educational institutions as end-users, a regulatorily and policy intervention is needed to secure education through procurement processes.

This paper introduces a novel exploration to the cybersecurity challenge in the education sector, an area of research and policy analysis that remains largely understudied. By adding a cybersecurity angle, the paper also contributes to the literature using a political economy approach in scrutinising EdTech.

There are five factors acting as a barrier to the effective evaluation of educational technology (edtech), which are as follows: premature timing, inappropriate techniques, rapid change, complexity of context and inconsistent terminology. The purpose of this paper is to identify new evaluation approaches that will address these and reflect on the evaluation imperative for complex technology initiatives.

An initial investigation of traditional evaluative approaches used within the technology domain was broadened to investigate the evaluation practices within social and public policy domains. Realist evaluation, a branch of theory-based evaluation, was identified and reviewed in detail. The realist approach was then refined, proposing two additional necessary steps to support mapping the technical complexity of initiatives.

A refined illustrative example of a realist evaluation framework is presented, including two novel architectural edtech domain reference models to support mapping.

Recommendations include building individual evaluator capacity; adopting the realist framework; the use of architectural edtech domain reference models; phased evaluation to first build theories in technology “context” and then iteratively during complex implementation chains; and community contribution to a shared map of technical and organisational complexity.

This paper makes a novel contribution by arguing the imperative for a theory-based realist approach to help redefine evaluative thinking within the IT and complex system domain. It becomes an innovative proposal with the addition of two domain reference models that tailor the approach for edtech. Its widespread adoption will help build a shared evidence base that synthesizes and surfaces “what works, for whom, in which contexts and why”, benefiting educators, IT managers, funders, policymakers and future learners.

The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making.

This multisite case study of educational technology (EdTech) decision-making comprises five purposely selected districts at the leading edge of EdTech innovation. The unit of analysis was a recent purchase they had made of an instructional, classroom-oriented digital product (defined as a product used by teachers and/or students in the classroom for the purposes of student learning). The key leader heading up the purchase was interviewed, as were other leaders and a teacher who were involved in the decision-making process.

The processes districts used to make their purchasing decisions involved teachers, district leaders and technical specialists who considered usability, usage data and alignment with student learning and interoperability, respectively. While in some cases there were plans to collect data on student learning outcomes, districts did not uniformly emphasize that in their decision-making processes. Instead, the type of educational technology tool that was purchased influenced whether or not districts planned to seek out student-level outcome data as evidence of the product's efficacy. For the purchases associated with access to content, school leaders considered usage or log data generated by the program itself as sufficient indication that the program is “working.” Where the software's functionality encompassed skill development, leaders stated future plans to look at student-level outcomes as a means for judging if the program “worked.”

Few accounts of district decision-making about the adoption of educational technology innovations are present in the literature. These five cases provide insight into the role evidence plays in decisions to adopt educational technology.

The purpose of this study is to analyze the properties of Happiness at Workplace (HAW) scale and investigate the validity of the scale in the Indian context using a sample of EdTech employees (knowledge-intensive population). This is consistent with encouraging the happiness literature as well as facilitating positive approaches at the working place in developing economies.

Responses were collected via Questionnaire from the employees of EdTech Companies, and a total of 500 responses were investigated. The factor structures, reliability and validity of the HAW scale were tested with the help of SPSS and Smart PLS Software Version 4.0.8.7.

The findings of this study showed that all the criteria of reliability and validity for validation of HAW scale were met when used in Indian culture, and the higher-order construct of HAW scale was retained.

Because of the differences in work cultures and societal structures among nations, the validation of HAW scale in the Indian context is needed, as the majority of the studies in the field of happiness were conducted in Western countries. So this study contributes significantly by validating the HAW scale in India by using a sample of EdTech employees.

The purpose of this paper is to explore how teachers’ approaches to teaching and conceptions of teaching and learning with educational technology influence the implementation of three-dimensional virtual worlds (3DVWs) in health care education.

Data were collected through thematic interviews with eight teachers to elicit their approaches to teaching in a 3DVW and their conceptions of teaching and learning with technology in online health care education.

Results indicate that teaching in 3DVWs necessitates the adoption of a student-centred approach to teaching. The teachers’ underlying approaches to teaching and learning became evident in their student-centred approach and use of problem-based activities. The immersive, social nature of the environment facilitated the creation of authentic, communicative learning activities created by the health care teachers and was in alignment with their disciplinary approaches to teaching and learning.

The sample size of the study is relatively small which limits the degree of external validity and generalisability of the results.

If sustainability of 3DVWs is to be achieved, academic development activities for teachers and their communities of practice may be necessary to support conceptual change and facilitate a shift to student-centred teaching where necessary.

There is limited research concerning the relationship between teachers’ approaches to teaching and the use of educational technologies, in particular the implementation of 3DVWs.

Introduces an assessment model being developed around a knowledge initiative in Pepperdine University’s Educational Technology Doctoral program (http://moon.pepperdine.edu/gsep/programs/ET). The knowledge initiative involves the implementation of group memory technology, developed by Intraspect Software (http://www.intraspect.com), in an attempt to cultivate a community of practice in the program. The assessment model looks for indicators of communities of practice and mines for usage patterns called “knowledge transactions”, as forms of measures.

Contemporary public service innovations to an important degree are initiated and enabled by digitalization. Digitalization stimulates entry of new firms (start-ups) based on innovative implementation of digital technology for public services. The interwoven digitalization and innovation processes involve interaction and interdependencies between private business actors and public service providing actors. In this paper, the authors take the perspective of a start-up business actor that tries to develop and implement a viable business model in the very dynamic context of digital transformation of public education. The purpose of this paper is to analyze how the instability of a startup firm’s business model during public service innovation can be explained. The research question is: “How can business modeling by a start-up firm be explained by tensions between its business model and public service provision models?”

Based on an abductive logic, the authors choose a single-case study of a start-up firm’s development in 2010-2018 and its interaction with public actors. Information about the firm acquired in the first phase of the study showed that it frequently changed its business model. A general analytical framework was developed to aid in efforts to answer the research question.

The case showed that a business model could be seen as a temporary outcome of a business modeling process, and that also concurrently public actors change their public actors’ service provisioning models. Public-private interaction reveals tensions that drive business modeling.

The study contributes to empirical knowledge about private-public interaction in the dynamic and complex context in which digital transformation in society drives public service innovations. The conceptual contribution rests more generally in the analytical framework and how it frames public actor’s “service provision modeling” as a driver of business modeling.