This learning scenario is about using different speech recognition software and identifying the weak points. Are there voices that are recognised better and voices that are recognised worse?
In the preparatory phase, students prepare questionnaires to collect specific demographic characteristics of the participants. In order to better understand how speech recognition software works, a brief basic introduction to AI tools is given.
The next step is to pick out different tools that are of interest. Then, speech recognition tests are carried out and the quality is evaluated.
| Creator | Annika Nowak | ||||
| Subject | Computer Science & Physics | ||||
| Length | 60 minutes | ||||
| Pedagogical Approach | Explorative learning | ||||
| Competencies from the framework Additional competencies | Scientific inquiry cycle Scientific thinking Scientific investigation cycle ________________ Formulate research questions | ||||
| Grades | 5-9 | ||||
| Link to the worksheet | https://docs.google.com/document/d/1yNL8zUftNur6lfEOoAoFSz3tDtJLqjh9K-HrBe7SiKk/edit?usp=sharing |
Learning Activities
| LA1: Orientation | First, students learn about different speech recognition tools |
| LA2: Research | In the next step, students research different speech recognition tools and decide on one. |
| LA3: Plan | In order to test the speech recognition software comparably, the text and the different characteristics of the target group (such as age, gender, dialect) are defined. In addition, the students define a suitable research question. |
| LA4: Perform | Students conduct the planned experiment, collecting data as they go. |
| LA5: Storage and backup | The data is then stored and backed up so that it can be retrieved. |
Worksheet
Hint: You can create a copy of the worksheet and save it in your google drive to modify and change the worksheet. Please use the Creative Commons License and create a reference to the FabCitizen project.