Dragon Speech Recognition: factors influencing success for students with additional needs
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Students with physical disabilities or additional support needs that lead to difficulties with writing are often recommended speech recognition software. What skills do students need to have to be suitable candidates and how can colleges and universities support students to successfully use this strategy? Brief presentation to prompt discussion at assistive tech event for disability practitioners at Edinburgh College.
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Dragon Speech Recognition: factors influencing success for students with additional needs
- 1. Dragon Speech Recognition Software Factors influencing success for students with disabilities or additional support needs
- 2. Why Dragon? Speech recognition now included in Windows, iOS and Chrome Developed by Nuance Dragon still considered the most accurate and powerful speech recognition tool Training and support Enhanced features
- 3. Student factors Realistic expectations Digital skills Language skills Cognitive Skills
- 4. Supporting writing skills development Transforming Student Experience Through Technology and Inclusive Practice CPD Programme Launching June 2019 Motivational Interviewing in a learning support context Improving literacy at any level using evidence-based and age- appropriate methods
- 5. What influences success A suitable space High quality headset Supported in exam contexts Uptake of quality training Additional tools for writing
- 6. Training: some research findings The literature surrounding the adoption of SRS strongly supports the benefits of training periods. In one study, 40% of adult participants with physical disabilities, identified lack of training as a reason for abandoning SRS. Increasing training time resulted in a more efficient writing performance, greater satisfaction, and stronger preference for SRS. Findings indicate the importance of allocating sufficient time for training for successful adoption.
- 7. Other tools Alt mouse options Ergonomic equipment Mind mapping Literacy support Notetaking solutions
- 8. Exams and Speech Recognition Recognised by SQA as an alternative arrangement Some exams may be more suitable than others SQA state candidates must have had sufficient training and practice Dragon recommended for digital papers in PDF Requires a suitable space, ‘clean’ PC, software installed and checked IT support and contingency plan if there is a fault
- 9. Summing up Speech recognition is rapidly developing Dragon still has the edge over in-built or free tools Students need a range of skills Alternative writing strategies worth exploring Contextual factors need considering Training is key to success for many
- 10. References Van Schyndel, R., Bhargava Furgoch, A., Previl, T. & Martini, R. (2014) The experience of speech recognition software abandonment by adolescents with physical disabilities, Disability and Rehabilitation: Assistive Technology. Malcolm, M.P. & Roll, M.C. (2018) Self- reported assistive technology outcomes and personal characteristics in college students with less-apparent disabilities, Assistive Technology. Evaluation of students for potential use of speech recognition https://qiat.org/docs/resourcebank/eval uation_of_student_form.html CALL Scotland Talking in Exams https://www.callscotland.org.uk/informa tion/speech-recognition/talking-in- exams-project/
- 11. Thank you Kellie Mote Twitter @KellieMote kellie.mote@edinburghcollege.ac.uk
Editor's Notes
- This clip is a nice overview of it in action https://youtu.be/ImlKOA1MhlI NB we’re on v15 now which is incredibly accurate. Developments in Ai, biometrics and consumer acceptance of speech recognition software (SNS) has led to better accuracy and in-built SNS e.g. in Windows, iOS and Chrome. Dragon is developed by Nuance, an industry leader in Ai and biometrics and is currently considered the most accurate and powerful speech recognition tool. You possibly know that Dragon is no longer developed for Mac. Nuance developed Siri. Apple’s speech recognition, so it is very good and I use it myself, although it does not appear to have all the features of Dragon. E.g. ability to work within certain programmes, import/export voice profiles, customisable voice commands. Training and support is available for Dragon and funded by Disabled Students Allowance.
- I have included references at the end of this presentation if you are interested to find out more. Research tells us that having realistic expectations is a key factor in preventing AT abandonment. Perseverance is required to get used to dictating work. Given how good SNS is, it’s easy for students to be dazzled by it and overlook the amount of work they will still have to do themselves. Students need to have a number of skills to be able to use SNS effectively and this will influence how suitable a candidate they are. For instance, do they have, or need to learn fairly basic digital skills? We make a lot of assumptions about Digital Natives. Do they need to work on expanding vocabulary, do they understand grammar, punctuation, sentence and paragraph structure? There is a role here for integrating study skills or language support with AT training. Are they able to formulate ideas and verbalise them? Do they need to work with other tools like mind maps to support this?
- Use of AT and SNS is one element of a student’s writing toolkit. The better the student’s literacy and knowledge of language, the better they can use SRS. In the Edinburgh College context, we’ll be offering in-house training to Student Experience in the form of a new CPD programme called Transforming Student Experience Through Technology and Inclusive Practice. This will be open to all Learning Support Advisers and Learning Development Tutors. Before getting into the tech, we’ll be kicking off with techniques like using Motivational Interviewing to support choosing the right interventions. Then we’ve invested in bringing in a specialist in literacy tuition for 16+ to help up work on the nuts and bolts of literacy for students experiencing difficulties with writing, whether they have a diagnosis of dyslexia or have writing difficulties for other reasons. This will be bookable through iTrent after Easter.
- Abandonment rates for SNS have been estimated at around 40% in different studies and reasons for this are typically things like: Not having an appropriate place to use the software Vocal fatigue (in people with physical disabilities) – people with degenerative conditions more likely to abandon High cognitive demands Being more challenging to use than expected Headsets: Andrea headsets are very good. A student needs a number of strategies as they can’t use SRS in every context.
- References are at the end. Further research on the type of AT training students in post-school settings prefer shows they rank in order of importance: demonstration, independent practice and supported practice. It’s optimal for training to be contextualised to the demands and content of the course. Staggering training is better rather than in one whole go.
- Students can control their computer with Dragon, but while they learn, or when they’re not able to do this either because of context or fatigue, it’s good to have appropriate hardware. Image: nABLER Joystick Mouse from Inclusive Technology.