• Ei tuloksia

The key takeaways from this research are Butterfly model, AoT, TTP and DeStoRe.

146

Expanding on these takeaways of the EnhanceEdu design story, Figure 7.1 shares multiple threads of future work possibilities:

The Butterfly model thread allows for smart design artifacts leading to smart learning environments, with appropriate metadata to guide these environments.

There can be further course development in computer science, IT and electronics en-gineering courses using the Butterfly model and energizing and empowering teach-ers to use these courses in a blended learning mode, conducting studies of cognitive load reduction and personalization.

For group or team-oriented work which began in the TTP, the POGIL (Process oriented guided inquiry learning) thread can be further developed. The experiments with such learning can be furthered, building on existing work (Kode & Cherukuri, 2014), and can expand to build an interactive POGIL environment (iPOGIL), leading to smart learning environments for both individuals and groups of learners through learning technology. iPOGIL could help determine in real time the state of under-standing of the entire class and to fine-tune class teaching and learning processes.

Further research could be done both on iPOGIL and on the scholarship of teaching

Figure 7.1 Future work based on research threads seeded in the regional context

147 and learning related to POGIL, studying different models for classroom use for the highest impact. Further team-based learning and assessment can also be conducted.

The Art of Teaching (AoT) thread can be followed through to further improve AoT and conduct deeper studies into the joy of teaching already initiated in En-hanceEdu. Studies can be conducted of reflecting teachers and scholarly teaching, analyzing what works in the classroom and conducting studies on “Why I’m teach-ing what I’m teachteach-ing” (WIT) and “Why I’m learnteach-ing what I’m learnteach-ing” (WIL). An-other thread could involve the further application of multiple change strategies to effect change in the education system.

The learning analytics (PIII) thread can be followed on collecting student data to understand learning behavior, measuring engagement in the online STEP/CIT pro-gram and classifying students based on their interests and background. Such data collected and analyzed combined with metrics will yield a better understanding of student engagement and identification of success factors leading to more effective student enhancement programs. These can be developed for and applied to various possible other threads, such as personalization and customization, curricular analyt-ics and smart learning environments.

The TTP thread so thoroughly discussed in this dissertation can be followed through for further studies on the proposed stakeholder engagement model with an improved smart learning environment. A Level 3 evaluation can also be conducted to improve the trained teachers’ impact on student learning. Further studies on the engineering and management of information technology education can be con-ducted. Further, use of positive deviance (Heath & Heath, 2010; Singhal et al., 2010) for creating higher impact in the faculty development communities can be explored.

The DeStoRe thread can be followed through to examine various applications of the DeStoRe method to enhance education, strategy planning and implementation, radical innovation creation and the application of the EnhanceEdu model in different contexts. DeStoRe needs to be explored further to bring rigor to design stories through systematic use of DSR. Also, future work includes further elaboration of De-StoRe, its features, methodology, uses and benefits. Another step would be to exam-ine more design stories using DeStoRe approach. In particular, efforts to improve information technology education in India and beyond, using the EnhanceEdu model, may be furthered using the artifacts created as concrete steps in a design story.

My hope is that many PhD students will take up work on these and other possible threads and take the research in each of the threads to useful conclusions. By apply-ing the ideas in this thesis to their own contexts, and by developapply-ing new designs and models to enhance education in India and other countries, a large body of contextual work would be produced that can influence policy and transform education. It is

148

with this hope that I embarked on this doctoral research, and I have enjoyed this journey tremendously.

I am very positive about this research and the EnhanceEdu design story and its potential for application. Given the results, the feedback and the enthusiasm of all the stakeholders and participants, be they management, teachers, students or EnhanceEduians, the present applications need to be more widespread. I am confident that this work when replicated across different regions and different disciplines will yield positive results with tangible benefits to teachers, students, colleges, industry and society.

149

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