Boosting your Impact Potential with the Evidence-Informed EdTech Framework
The ELTE (Evidence-informed Learning Technology Enterprise) framework explored in Dr Anissa Moeini's thesis that this Byte-Sized piece is based on has both academic and non-academic impact. The ELTE framework is designed to better connect academic research and EdTech enterprises. It offers academics a context and structure within which an academic can explore:
The way their research and/or approach may be appropriated by the EdTech company to secure valuable impact
The possibilities for a collaboration with an EdTech company that might provide a ‘test rig’ for the further evaluation of academic research
Highly relevant case studies for students engaged in master’s-level study of educational technology or entrepreneurship
The ELTE framework can also guide EdTech enterprises to cultivate within their organisations the necessary capacities to build products that are grounded in sound evidence.
The goal of this doctoral work was to build a bridge between academia and small and medium-sized enterprises (SMEs) in the educational technology (EdTech) sector by bringing the rigour of academic research methods to start-up and scale-up environments so that they can conceptualise and realise products that are built with evidence from the learning sciences. The overall research question, What theoretical framework supports EdTech enterprises to build evidence-informed products and services? is answered through a design-based research methodology with six Cycles of research, grouped into three Phases, each with goals that evolve in an iterative way. A design-based research approach was chosen after a highly exploratory Phase surveying London’s EdTech ecosystem prior to Cycle 1. Part 1 (Cycles 1 and 2) focused on developing the construct in question (a practical framework for building research-minded EdTech enterprises) through a participatory design process with key Participants. Part 2 (Cycles 3 and 4) focused on evaluating the new construct with Participants. Part 3 (Cycles 5 and 6) validated the framework developed in Parts 1 and 2 with EdTech enterprises both from the EDUCATE programme and also the greater global ecosystem. The theoretical contribution of this study is the ELTE construct and its 7 Sub-Constructs, including Learning Culture, Leadership Vision, Sense of Purpose, Teamwork, Research Know-How and Action Orientation; the ELTE Survey outlining all facets each Sub-Construct in the framework; and the ELTE Sub-Construct Hierarchy Model, introducing Sub-Construct dependencies. Methodological contributions of this study include the ELTE Action Model, an effective boundary object for researchers when approaching EdTech enterprises to understand how the ELTE framework has uniquely manifested within the structures of their organisations, and ELTE Hallmark Questions, an introductory tools for researchers to give context to enterprises regarding the ELTE model prior to a workshop, line of inquiry, or discussion regarding the model’s particular manifestation enterprise context. The contributions of this study represent an intellectual advancement in our understanding of evidence-informed design and development within the EdTech sector, and it provides a tool of practical use to EdTech SMEs that want to become Evidence-informed Learning Technology Enterprises..
Evidence-led, learning technology, enterprise, learning tool, learning culture, leadership vision, sense of purpose, teamwork, research know-how, action orientation, ecosystem
About the Author:
Dr Anissa Moeini
Dr. Anissa Moeini is an EdTech entrepreneur, social scientist and expert in the field of enterprise impact measurement. With a background in media and telecom entrepreneurship, Anissa identified the need to build research capacity in EdTech enterprises that is both agile to their pace of change and adaptable to the rhythm of SMEs. Through her doctoral research, she developed the Evidence-informed Learning Technology Enterprise (ELTE) Framework as a practical tool for EdTech companies and other non-academic stakeholders (investors, policymakers and educational practitioners) to support the evaluation of the efficacy of EdTech enterprises; and to build their internal capacity to be evidence-informed. In January 2021, founded Goldstar Education, whose flagship product, the Goldstar Impact Potential Assessment, measures impact potential and offers guidance on how to pivot to increase impact. Anissa serves as CEO of Goldstar Education and Chief Impact Advisor of EDUCATE Ventures Research (the largest EdTech research accelerator in the world). Anissa completed her PhD at the UCL Institute of Education (World #1 for research in education 2014-2021) London, UK, her MA at Teacher's College, Columbia University in International Education Development with a specialisation in Instructional Technology and Design, and her undergraduate in International Business (iBBA) at the Schulich School of Business at York University in Toronto, Canada.