1. Arrange students into groups. Each group needs at least ONE person who has a mobile device.
2. If their phone camera doesn't automatically detect and decode QR codes, ask students to
4. Cut them out and place them around your class / school.
1. Give each group a clipboard and a piece of paper so they can write down the decoded questions and their answers to them.
2. Explain to the students that the codes are hidden around the school. Each team will get ONE point for each question they correctly decode and copy down onto their sheet, and a further TWO points if they can then provide the correct answer and write this down underneath the question.
3. Away they go! The winner is the first team to return with the most correct answers in the time available. This could be within a lesson, or during a lunchbreak, or even over several days!
4. A detailed case study in how to set up a successful QR Scavenger Hunt using this tool can be found here.
Question | Answer |
1. 8 The details in paragraph 5 support the idea that —F humans use a lot of sarcasm and humor in everyday speech G miscommunication between humans is more likely when they cannot see facial expressions H language software is designed for communicating information rather than making jokes J human communication involves features that cannot easily be replicated by computers | J | 2. 9 What is the main idea of paragraphs 7 and 8? A When people use speech-recognition applications, their privacy may be invaded. B As people talk more to computers, they may become less able to interact with humans. C Advances in technology may cause humans to lose their jobs to computers. D The use of speech-recognition technology poses a variety of potential problems.2 | D2 | 3. 10 According to the selection, speech-software developers are still striving to develop speech-recognition technology that —F can comprehend language as quickly as people speak it G helps people complete simple tasks on electronic devices H makes people feel as if they are speaking to a human J minimizes the need for most types of human interaction.3 | H3 | 4. 11 Which idea does the author emphasize throughout the selection? A Speech-recognition technology saves companies time and money. B The technology for speech-recognition systems is constantly improving. C Virtual personal assistants are an important achievement in talking computers. D The earliest speech-recognition systems had limited capabilities.4 | B4 | 5. 12 The author’s main purpose in writing this selection is to — F describe the history of and advances in speech-recognition technology G share concerns about problems with speech-recognition technology H suggest that consumers rely too much on speech-recognition technology J explain how speech-recognition technology understands human language.5 | F5 | 6. 13 Which sentence from the selection best explains why some people may prefer human-to human communication?A Despite the efficiency of these systems, many people find them impersonal, stilted, and sometimes frustrating. B Even the advanced human-machine interfaces used today are unable to trick the judge consistently into thinking a computer is a human. C Simply put, the reason is that human beings rely on more than words to produce utterances and derive meaning from them. D While the potential for spontaneous communication between a human and a machine may seem exciting, this possibility concerns some people.6 | A6 | 7. 14 The author organizes the information in the selection mainly by —F explaining the development of speech-recognition technology over time G describing advancements in speech-recognition technology as well as some concerns about it H providing details about the technical processes that computers use to understand speech and construct a response J comparing the ways humans and computers interpret spoken language.7 | G7 | 8. 15 Which sentence from the selection reflects the author’s opinion? A Today many voice systems can understand language when spoken at a normal conversational rate. B Others fear that machines will take over functions that were traditionally performed by humans, such as customer service. C This digital trail may lead to data mining, or the collection of large quantities of personal data. D For now, however, the continuing evolution of speech recognition software is thrilling to behold.8 | D8 |
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