• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 67 matches

• 2023
• 
  Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani:
  Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. 15(3): 1070-1084 (2023)
• 
  Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
  Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. AIED (Posters/Late Breaking Results/...) 2023: 606-611
• 
  Tasmia Shahriar, Noboru Matsuda:
  What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning. AIED 2023: 126-138
• 
  Ping Chen, Xinjia Yu, Sufang Lim, Zhiqi Shen:
  A Teachable Agent to Enhance Elderly's Ikigai. AAMAS 2023: 2319-2321
• 
  Kyung A. Lee, Soon-Bum Lim, Shankara Narayanan Nagarajan:
  A Study of the Effectiveness of English Speaking of Teachable Agent using AI Chatbot. ICAART (1) 2023: 308-314
• 
  Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
  Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. CoRR abs/2306.07302 (2023)
• 2022
• 
  Noboru Matsuda:
  Teachable Agent as an Interactive Tool for Cognitive Task Analysis: A Case Study for Authoring an Expert Model. Int. J. Artif. Intell. Educ. 32(1): 48-75 (2022)
• 
  Nalin Chhibber, Joslin Goh, Edith Law:
  Teachable Conversational Agents for Crowdwork: Effects on Performance and Trust. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-21 (2022)
• 
  Kento Koike, Izumi Himura, Takahito Tomoto:
  TAME: A Method of Teachable Agent Modeling for Error-Visualization. HCI (4) 2022: 461-474
• 
  Rachel Love, Edith Law, Philip R. Cohen, Dana Kulic:
  Natural Language Communication with a Teachable Agent. CoRR abs/2203.09016 (2022)
• 2021
• 
  Nalin Chhibber, Edith Law:
  Towards Teachable Conversational Agents. CoRR abs/2102.10387 (2021)
• 
  Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani:
  Towards Teachable Autonomous Agents. CoRR abs/2105.11977 (2021)
• 2020
• 
  Agneta Gulz, Ludvig Londos, Magnus Haake:
  Preschoolers' Understanding of a Teachable Agent-Based Game in Early Mathematics as Reflected in their Gaze Behaviors - an Experimental Study. Int. J. Artif. Intell. Educ. 30(1): 38-73 (2020)
• 
  Noboru Matsuda, Wenting Weng, Natalie Wall:
  The Effect of Metacognitive Scaffolding for Learning by Teaching a Teachable Agent. Int. J. Artif. Intell. Educ. 30(1): 1-37 (2020)
• 2019
• 
  Betty Tärning, Annika Silvervarg, Agneta Gulz, Magnus Haake:
  Instructing a Teachable Agent with Low or High Self-Efficacy - Does Similarity Attract? Int. J. Artif. Intell. Educ. 29(1): 89-121 (2019)
• 
  John C. Stamper, Steven Moore:
  Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. AIED (2) 2019: 269-274
• 2018
• 
  Noboru Matsuda, Vishnu Priya Chandra Sekar, Natalie Wall:
  Metacognitive Scaffolding Amplifies the Effect of Learning by Teaching a Teachable Agent. AIED (1) 2018: 311-323
• 
  Eva-Maria Ternblad, Magnus Haake, Erik Anderberg, Agneta Gulz:
  Do Preschoolers 'Game the System'? A Case Study of Children's Intelligent (Mis)Use of a Teachable Agent Based Play-&-Learn Game in Mathematics. AIED (1) 2018: 557-569
• 
  Annika Silvervarg, Kristian Månsson:
  How do you introduce an agent?: The effect of introduction type on how a teachable agent is experienced by students. IVA 2018: 29-34
• 2017
• 
  Amy Ogan, Evelyn Yarzebinski, Roberto De Roock, Cristina Dumdumaya, Michelle P. Banawan, Ma. Mercedes T. Rodrigo:
  Proficiency and Preference Using Local Language with a Teachable Agent. AIED 2017: 548-552
• 
  Björn Sjödén, Mats Lind, Annika Silvervarg:
  Can a Teachable Agent Influence How Students Respond to Competition in an Educational Game? AIED 2017: 347-358
• 2016
• 
  Su Fang Lim:
  Persuasive teachable agent for intergenerational learning. Nanyang Technological University, Singapore, 2016
• 
  Budhitama Subagdja, Ah-Hwee Tan:
  Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 46(12): 1724-1735 (2016)
• 
  Su Fang Lim:
  Persuasive Teachable Agent for Intergenerational Learning. CoRR abs/1601.07264 (2016)
• 2015
• 
  Ailiya Borjigin, Chunyan Miao, Sufang Lim, Siyao Li, Zhiqi Shen:
  Teachable Agents with Intrinsic Motivation. AIED 2015: 34-43
• 
  Lisa Palmqvist, Camilla Kirkegaard, Annika Silvervarg, Magnus Haake, Agneta Gulz:
  The Relationship Between Working Memory Capacity and Students' Behaviour in a Teachable Agent-Based Software. AIED 2015: 670-673
• 
  Björn Sjödén, Agneta Gulz:
  From Learning Companions to Testing Companions - Experience with a Teachable Agent Motivates Students' Performance on Summative Tests. AIED 2015: 459-469
• 
  Ailiya Borjigin:
  Teachable Agent. CoRR abs/1502.02370 (2015)
• 2014
• 
  Ailiya Borjigin:
  Affective teachable agent in virtual learning environment. Nanyang Technological University, Singapore, 2014
• 
  Lena Pareto:
  A Teachable Agent Game Engaging Primary School Children to Learn Arithmetic Concepts and Reasoning. Int. J. Artif. Intell. Educ. 24(3): 251-283 (2014)

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