Smit Desai
ABSTRACT
In this provocation, we discuss the capacities and limitations of using commercially available smart speakers like Amazon Echo and Google Home to support informal learning. Bridging theories in self-regulated learning (SRL) and metacognition, we discuss whether smart speakers can (1) help learners to learn on their own and (2) help learners to learn better. We evaluate the current applications of smart speakers on learning and suggest future directions to harness smart speakers as learning partners in informal learning.
- Vincent Aleven, Ido Roll, Bruce Mclaren, and Kenneth Koedinger. 2010. Automated, Unobtrusive, Action-by-Action Assessment of Self-Regulation During Learning With an Intelligent Tutoring System. Educational Psychologist 45: 224–233. https://doi.org/10.1080/00461520.2010.517740Google Scholar
Cross Ref
- Frank Bentley, Chris Luvogt, Max Silverman, Rushani Wirasinghe, Brooke White, and Danielle Lottridge. 2018. Understanding the Long-Term Use of Smart Speaker Assistants. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3: 91:1-91:24. https://doi.org/10.1145/3264901Google Scholar
- Cynthia Breazeal. 2003. Toward sociable robots. Robotics and Autonomous Systems 42, 3: 167–175. https://doi.org/10.1016/S0921-8890(02)00373-1Google ScholarCross Ref
- Michelene T. H. Chi, Nicholas De Leeuw, Mei-Hung Chiu, and Christian Lavancher. 1994. Eliciting Self-Explanations Improves Understanding. Cognitive Science 18, 3: 439–477. https://doi.org/10.1207/s15516709cog1803_3Google Scholar
- Eugene Cho. 2019. Hey Google, Can I Ask You Something in Private? In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19), 258:1-258:9. https://doi.org/10.1145/3290605.3300488Google ScholarDigital Library
- Leigh Clark, Nadia Pantidi, Orla Cooney, Philip Doyle, Diego Garaialde, Justin Edwards, Brendan Spillane, Christine Murad, Cosmin Munteanu, Vincent Wade, and Benjamin R. Cowan. 2019. What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI ’19: 1–12. https://doi.org/10.1145/3290605.3300705Google Scholar
- David A Cook. 2007. Web-based learning: pros, cons and controversies. Clinical Medicine 7, 1: 37–42. https://doi.org/10.7861/clinmedicine.7-1-37Google ScholarCross Ref
- Scotty D. Craig, Jeremiah Sullins, Amy Witherspoon, and Barry Gholson. 2006. The Deep-Level-Reasoning-Question Effect: The Role of Dialogue and Deep-Level-Reasoning Questions During Vicarious Learning. Cognition and Instruction 24, 4: 565–591.Google ScholarCross Ref
- Joel E. Fischer, Stuart Reeves, Martin Porcheron, and Rein Ove Sikveland. 2019. Progressivity for voice interface design. In Proceedings of the 1st International Conference on Conversational User Interfaces (CUI ’19), 1–8. https://doi.org/10.1145/3342775.3342788Google ScholarDigital Library
- Arthur Graesser and Danielle McNamara. 2010. Self-regulated learning in learning environments with pedagogical agents that interact in natural language. Educational Psychologist 45, 4: 234–244. https://doi.org/10.1080/00461520.2010.515933Google ScholarCross Ref
- Jeffrey A. Greene and Roger Azevedo. 2010. The Measurement of Learners’ Self-Regulated Cognitive and Metacognitive Processes While Using Computer-Based Learning Environments. Educational Psychologist 45, 4: 203–209. https://doi.org/10.1080/00461520.2010.515935Google ScholarCross Ref
- Thomas D. Griffin, Benjamin D. Jee, and Jennifer Wiley. 2009. The effects of domain knowledge on metacomprehension accuracy. Memory & Cognition 37, 7: 1001–1013. https://doi.org/10.3758/MC.37.7.1001Google ScholarCross Ref
- Lucy Handley. 2019. More than 50% of people use voice assistants to “ask fun questions.” Here's what else they do. CNBC. Retrieved March 27, 2020 from https://www.cnbc.com/2019/02/26/what-do-people-use-smart-speakers-for-asking-fun-questions.htmlGoogle Scholar
- Saj-Nicole A. Joni and Elliot Soloway. 1986. But My Program Runs! Discourse Rules for Novice Programmers. Journal of Educational Computing Research 2, 1: 95–125. https://doi.org/10.2190/6E5W-AR7C-NX76-HUT2Google ScholarCross Ref
- Hyunhoon Jung, Hee Jae Kim, Seongeun So, Jinjoong Kim, and Changhoon Oh. 2019. TurtleTalk: An Educational Programming Game for Children with Voice User Interface. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA ’19), 1–6. https://doi.org/10.1145/3290607.3312773Google ScholarDigital Library
- Asher Koriat. 1997. Monitoring one's own knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General 126, 4: 349–370. https://doi.org/10.1037/0096-3445.126.4.349Google ScholarCross Ref
- H. Lane and Kurt Vanlehn. 2003. Coached Program Planning: Dialogue-Based Support for Novice Program Design. SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education).Google Scholar
- Henry Lieberman and Ted Selker. 2003. Agents for the User Interface. MIT Press: 21.Google Scholar
- Mollie McKillop, Brett R South, Anita Preininger, Mitch Mason, and Gretchen Purcell Jackson. 2021. Leveraging conversational technology to answer common COVID-19 questions. Journal of the American Medical Informatics Association 28, 4: 850–855. https://doi.org/10.1093/jamia/ocaa316Google ScholarCross Ref
- Oussama Metatla, Alison Oldfield, Taimur Ahmed, Antonis Vafeas, and Sunny Miglani. 2019. Voice User Interfaces in Schools: Co-designing for Inclusion with Visually-Impaired and Sighted Pupils. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19), 378:1-378:15. https://doi.org/10.1145/3290605.3300608Google ScholarDigital Library
- Janet Metcalfe. 2009. Metacognitive Judgments and Control of Study. Current directions in psychological science 18, 3: 159–163. https://doi.org/10.1111/j.1467-8721.2009.01628.xGoogle Scholar
- Ali Montag. 2018. Here's what people actually ask Amazon's Alexa. CNBC. Retrieved March 8, 2020 from https://www.cnbc.com/2018/06/26/study-what-people-actually-ask-amazons-alexa.htmlGoogle Scholar
- Nasim Motalebi, Eugene Cho, S. Shyam Sundar, and Saeed Abdullah. 2019. Can Alexa be your Therapist? How Back-Channeling Transforms Smart-Speakers to be Active Listeners. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (CSCW ’19), 309–313. https://doi.org/10.1145/3311957.3359502Google ScholarDigital Library
- Chelsea Myers, Anushay Furqan, Jessica Nebolsky, Karina Caro, and Jichen Zhu. 2018. Patterns for How Users Overcome Obstacles in Voice User Interfaces. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18), 6:1-6:7. https://doi.org/10.1145/3173574.3173580Google ScholarDigital Library
- Christi Olson. 2016. Just say it: The future of search is voice and personal digital assistants. Retrieved March 26, 2020 from https://www.campaignlive.co.uk/article/just-say-it-future-search-voice-personal-digital-assistants/1392459?utm_source=website&utm_medium=socialGoogle Scholar
- Christi Olson and Kelli Kemery. The 2019 Voice Report. Microsoft Advertising. Retrieved April 14, 2021 from https://about.ads.microsoft.com/en-us/insights/2019-voice-reportGoogle Scholar
- Martin Porcheron, Joel E. Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice Interfaces in Everyday Life. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18), 640:1-640:12. https://doi.org/10.1145/3173574.3174214Google ScholarDigital Library
- Asad Raza, Hameedullah Kazi, and Muhammad Ali Nizamani. 2016. Metacognitive Mathematics Tutor: Mathematics Tutoring System with Metacognitive Strategies. International Journal of Computer Applications 153, 4: 21–31.Google ScholarCross Ref
- Gregory Schraw. 2010. Measuring Self-Regulation in Computer-Based Learning Environments. Educational Psychologist 45, 4: 258–266. https://doi.org/10.1080/00461520.2010.515936Google ScholarCross Ref
- Alex Sciuto, Arnita Saini, Jodi Forlizzi, and Jason I. Hong. 2018. “Hey Alexa, What's Up?”: A Mixed-Methods Studies of In-Home Conversational Agent Usage. In Proceedings of the 2018 Designing Interactive Systems Conference (DIS ’18), 857–868. https://doi.org/10.1145/3196709.3196772Google ScholarDigital Library
- Keith W. Thiede and John Dunlosky. 1999. Toward a general model of self-regulated study: An analysis of selection of items for study and self-paced study time. Journal of Experimental Psychology: Learning, Memory, and Cognition 25, 4: 1024–1037. https://doi.org/10.1037/0278-7393.25.4.1024Google ScholarCross Ref
- Jinping Wang, Hyun Yang, Ruosi Shao, Saeed Abdullah, and S. Shyam Sundar. 2020. Alexa as Coach: Leveraging Smart Speakers to Build Social Agents that Reduce Public Speaking Anxiety. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20), 1–13. https://doi.org/10.1145/3313831.3376561Google ScholarDigital Library
- David A. Wiley and Erin K. Edwards. 2002. Online Self-Organizing Social Systems: The Decentralized Future of Online Learning. Quarterly Review of Distance Education 3, 1: 33–46.Google Scholar
- Rainer Winkler, Matthias Söllner, Maya Lisa Neuweiler, Flavia Conti Rossini, and Jan Marco Leimeister. 2019. Alexa, Can You Help Us Solve This Problem? How Conversations With Smart Personal Assistant Tutors Increase Task Group Outcomes. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA ’19), 1–6. https://doi.org/10.1145/3290607.3313090Google ScholarDigital Library
- Sports Facts | Google Assistant. Retrieved April 2, 2021 from https://assistant.google.com/services/a/uid/000000479dfb1490?hl=en-USGoogle Scholar
- Nutrition Facts | Google Assistant. Retrieved April 2, 2021 from https://assistant.google.com/services/a/uid/000000cd6ebcb199?hl=en-USGoogle Scholar
- Dialogflow. Google Cloud. Retrieved March 28, 2021 from https://cloud.google.com/dialogflowGoogle Scholar
- Create a Trivia Action using templates | Actions on Google Templates. Google Developers. Retrieved March 28, 2021 from https://developers.google.com/assistant/templates/triviaGoogle Scholar
- Hey Google, Can You Help Me Learn?
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