Abstract
Developing countries around the world are scaling up education interventions. New educational technologies offer opportunities to develop new models to deliver quality education at scale. However, the literature suggests that defining scale is complex, especially in heterogeneous contexts. This paper provides a conceptualization of scale as a dynamic process with three key dimensions: ‘quantity’, ‘diffusion,’ and ‘quality’ through the case of a multi-state, multi-stakeholder program called Connected Learning Initiative in India. It also describes the implementation processes that involve teacher professional development, student engagement, technological developments, and efforts to improve classroom processes in a multifactor environment of stakeholder needs, context, and variance in resources. In conclusion, robust and flexible design approaches for scale are discussed, with implications for further research.
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Data availability
The data that support the findings of this study are available at the Centre of Excellence of Teacher Education, Tata Institute of Social Sciences, but restrictions apply to the availability of these data and they are not publicly available. The data are, however, available from the authors upon request and with the permission from Tata Institute of Social Sciences.
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Acknowledgements
We appreciate funding from the Scheme for Promotion of Academic and Research Collaboration (SPARC), Government of India (Grant: SPARC 1267), for the project “Innovation Diffusion of EdTech for Quality at Scale”. Special thanks to Saurav Mohanty, Shashank Parimi, and Dr. Vijay Kumar for their valuable input. We also acknowledge Archana Mehendale, Meera Chandran, and Anusha Ramanathan for reviewing the initial draft. We extend our gratitude to the anonymous ETR&D reviewers for their constructive feedback, which greatly improved the paper.
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Appendices
Appendix A
Student module usage
According to CLIx (2020), out of the 12 student modules, module usage in CG, MZ, and RJ exceeded 4.5, whereas in TS, it was 2.19. There was also variation in module usage across subjects and states. In English, the highest usage was observed in MZ (52%), followed by CG (45%), with an overall average of 31%. For Mathematics, CG had the highest usage at 83%, followed by MZ (48%), with an overall usage rate of 33%. In the case of Science, CG and RJ had a usage rate of 41%, followed by MZ at 32%. Overall, module usage levels were significantly higher in MZ and CG, while lower in TS.
Table A1 | ||||
---|---|---|---|---|
State | Average of all the modules used/Total modules rolled out | % of English modules used per school (out of max 2 modules) (%) | % of Math modules used per school (out of max 3 modules) (%) | % of Science modules used per school (out of max 6 modules) (%) |
CG | 4.60/10 | 45 | 83 | 41 |
MZ | 4.71/11 | 52 | 48 | 32 |
RJ | 4.62/12 | 28 | 32 | 41 |
TS | 2.19/12 | 25 | 16 | 15 |
All CLIx | 3.73/12 | 31 | 33 | 29 |
Appendix B
Stakeholder/area | Time scale (Short term: 1–2 years Medium term: 3–4 years Long term: 5 years and above) | Impact indicators and targets |
---|---|---|
Students | Short term | 70% students will show improved conceptual understanding in science and mathematics |
Short term | 80% students will show improved proficiency in English communication | |
Short term | 95% students will demonstrate digital literacy skills | |
Short term | 70% students will show improved ability to use technology for learning and real-life situations | |
Medium term | 70% students will show improved life skills (communication skills, confidence, citizenship skills, group work, perseverance) | |
Medium term | 70% students will show increased interest in STEM and self-perception of learning | |
Long term | Increase in number of students choosing the science stream after grade 10 | |
Long term | Increase in the percentage of students continuing education after grade 10 | |
Teachers | Short/medium term | 80% teachers become digitally literate |
Short/medium term | At least 50% of teachers use technology to improve teaching learning | |
Short/medium term | At least 60% of teachers show improved subject knowledge | |
Short/medium term | At least 60% of teachers show improvements in classroom practice by opportunities for students to talk, ask questions, share, discover, and analyze (as against rote or lecture-based methods) | |
Short/medium term | At least 50% of teachers teaching English, Science, and Math will start using open resources/technology in classrooms | |
School | Short term | All project schools to have functional ICT infrastructure |
Medium term | Improved grade 9 and 10 examination results | |
Medium term | At least 70% of schools use science labs to conduct experiments | |
Medium term | Improved enrollment, attendance, and retention | |
Teacher educators | Short/medium term | Number of teacher educators with enhanced skills for supporting teachers and student teachers in Science, English, Math, and life skills |
Short/medium term | Number of teacher educators and student teachers from the implementation sites enrolling in courses related to educational technology |
Appendix C
Student learning outcomes
The learning outcome study (CLIx, 2020) was conducted in grade 9 using three subject modules of CLIx. English was studied in MZ, mathematics in CG, and science in RJ. Specific modules from each subject were implemented under the most favorable ICT infrastructure and classroom conditions. The study was spread over 3 to 4 weeks, which included teaching of CLIx modules following prescribed classroom experience, including computer lab-based work for digital components of the module. In the non-intervention schools, over the similar period, the related topic was taught by teachers using the prescribed textbook.
In the intervention schools, higher fidelity of module implementation was attributed to the extent to which CLIx teachers understood the objectives and design of the module and implemented them as per the intended or recommended design while incorporating feedback from the research group collaborating in the classrooms. Pre- and post-tests of students were conducted. For data analysis, paired t tests were conducted to determine if there were significant pre- and post-test gains in scores for students in each intervention and non-intervention school. Independent t tests were then conducted to compare pre-post gains between the intervention and non-intervention schools to determine if the gains were significantly different. The average scores of students and an analysis of the changes are presented in Table C1.
In English, for listening skills, students in the intervention schools showed increased improvement by 21.0 percentage points compared to their counterparts in the non-intervention schools. Students in the intervention schools showed significantly greater gains in listening skills compared to students in non-intervention schools. Whereas for speaking skills, students in non-intervention schools showed a significantly greater gain than those from intervention schools.
In math, the scores of the students in the intervention schools showed significantly higher gains from pre-test to post-test by 13.42 percentage points. The gain of students in the intervention schools from pre-test to post-test was statistically significant compared to their counterparts in the non-intervention schools. A gender analysis of student performance revealed that girls in the intervention group scored significantly higher than girls in the non-intervention group.
In science, the scores of students in the intervention schools improved significantly by 13.27 percentage points, whereas the scores of those in the non-intervention group did not improve. There was a significant difference between the post-test scores of students in the intervention (47%) and non-intervention groups (33%), as well as in their pre- and post-test gains, with the intervention group scoring higher in the post-test and showing greater improvement.
Table C1 | ||||||||
---|---|---|---|---|---|---|---|---|
Subject-topic | CLIx | Non-CLIx | Difference between CLIx and Non-CLIx | p value | ||||
Pre-test | Post-test | Gain | Pre-test | Post-test | Gain | |||
English—Listening (N: CLIx = 100, Non-CLIx = 75) | 40.0 | 61.0 | 21.0 | 57.3 | 69.2 | 11.9 | 9.1 | p = 0.003 |
English—Speaking (N: CLIx = 99; Non-CLIx = 77) | 43.0 | 53.9 | 10.9 | 55.7 | 73.3 | 17.6 | − 6.7 | p = 0.03 |
Maths—Geometric Reasoning (N: CLIx = 466; Non-CLIx = 499) | 29.7 | 43.1 | 13.4 | 33.9 | 36.7 | 2.81 | 10.6 | p < 0.001 |
Math—Gender wise data (N: CLIx -F—251, M = 215 Non-CLIx F = 290, M = 209) | F = 29.8 M = 29.6 | F = 39.4 M = 47.5 | F = 9.6 | F = 35.4 M = 38.4 | F = 32.8 M = 35.4 | F = 2.6 | 7 | p = 0.002 |
Science—Astronomy (N: CLIx = 169; Non-CLIx = 118) | 33.3 | 46.5 | 13.2 | 32.0 | 32.9 | 0.91 | 12.3 | p < 0.001 |
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Balli, O., Singla, E. Dimensions of scale: Connected Learning Initiative (CLIx)—a case study of educational technology initiative in India. Education Tech Research Dev (2024). https://doi.org/10.1007/s11423-024-10372-y
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DOI: https://doi.org/10.1007/s11423-024-10372-y