The Effects of Feedback on Children's Engagement and Learning Outcomes in Robot-Assisted Second Language Learning

被引:20
|
作者
de Haas, Mirjam [1 ]
Vogt, Paul [1 ]
Krahmer, Emiel [2 ]
机构
[1] Tilburg Univ, Tilburg Sch Humanities & Digital Sci, Dept Cognit Sci & Artificial Intelligence, Tilburg, Netherlands
[2] Tilburg Univ, Tilburg Ctr Cognit & Commun, Tilburg Sch Humanities & Digital Sci, Dept Commun & Cognit, Tilburg, Netherlands
来源
基金
欧盟地平线“2020”;
关键词
child-robot interaction; second-language learning; robot tutor; feedback; engagement; preschool children; INTRINSIC MOTIVATION; SELF-DETERMINATION; PRAISE; PERFORMANCE; PRESCHOOL;
D O I
10.3389/frobt.2020.00101
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
To investigate how a robot's use of feedback can influence children's engagement and support second language learning, we conducted an experiment in which 72 children of 5 years old learned 18 English animal names from a humanoid robot tutor in three different sessions. During each session, children played 24 rounds in an "I spy with my little eye" game with the robot, and in each session the robot provided them with a different type of feedback. These feedback types were based on a questionnaire study that we conducted with student teachers and the outcome of this questionnaire was translated to three within-design conditions: (teacher) preferred feedback, (teacher) dispreferred feedback and no feedback. During the preferred feedback session, among others, the robot varied his feedback and gave children the opportunity to try again (e.g., "Well done! You clicked on the horse.", "Too bad, you pressed the bird. Try again. Please click on the horse."); during the dispreferred feedback the robot did not vary the feedback ("Well done!", "Too bad.") and children did not receive an extra attempt to try again; and during no feedback the robot did not comment on the children's performances at all. We measured the children's engagement with the task and with the robot as well as their learning gain, as a function of condition. Results show that children tended to be more engaged with the robot and task when the robot used preferred feedback than in the two other conditions. However, preferred or dispreferred feedback did not have an influence on learning gain. Children learned on average the same number of words in all conditions. These findings are especially interesting for long-term interactions where engagement of children often drops. Moreover, feedback can become more important for learning when children need to rely more on feedback, for example, when words or language constructions are more complex than in our experiment. The experiment's method, measurements and main hypotheses were preregistered.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Social robots in a translanguaging pedagogy: A review to identify opportunities for robot-assisted (language) learning
    van den Berghe, Rianne
    [J]. FRONTIERS IN ROBOTICS AND AI, 2022, 9
  • [42] Pitch It Right: Using Prosodic Entrainment to Improve Robot-Assisted Foreign Language Learning in School-Aged Children
    Molenaar, Bo
    Solino Fernandez, Breixo
    Polimeno, Alessandra
    Barakova, Emilia
    Chen, Aoju
    [J]. MULTIMODAL TECHNOLOGIES AND INTERACTION, 2021, 5 (12)
  • [43] The Learning Curve for Robot-assisted Partial Nephrectomy: Impact of Surgical Experience on Perioperative Outcomes
    Larcher, Alessandro
    Muttin, Fabio
    Peyronnet, Benoit
    De Naeyer, Geert
    Khene, Zine-Eddine
    Dell'Oglio, Paolo
    Ferreiro, Cristina
    Schatteman, Peter
    Capitanio, Umberto
    D'Hondt, Frederiek
    Montorsi, Francesco
    Bensalah, Karim
    Mottrie, Alexandre
    [J]. EUROPEAN UROLOGY, 2019, 75 (02) : 253 - 256
  • [44] Feedback, noticing and instructed second language learning
    Mackey, Alison
    [J]. APPLIED LINGUISTICS, 2006, 27 (03) : 405 - 430
  • [45] Adaptive Corrective Feedback in Second Language Learning
    de Vries, Bart Penning
    Cucchiarini, Catia
    Strik, Helmer
    van Hout, Roeland
    [J]. INTERDISCIPLINARY APPROACHES TO ADAPTIVE LEARNING: A LOOK AT THE NEIGHBOURS, 2011, 126 : 1 - 14
  • [46] Assessment of Quality Outcomes and Learning Curve for Robot-Assisted Minimally Invasive McKeown Esophagectomy
    Yang Yang
    Bin Li
    Rong Hua
    Xiaobin Zhang
    Haoyao Jiang
    Yifeng Sun
    Giulia Veronesi
    Sara Ricciardi
    Monica Casiraghi
    Marion Durand
    Raul Caso
    Inderpal S. Sarkaria
    ZhiGang Li
    [J]. Annals of Surgical Oncology, 2021, 28 : 676 - 684
  • [47] Outcomes of robot-assisted radical cystectomy: Learning curves, margins and lymph node yield
    Groves-Kirkby N.
    [J]. Nature Reviews Urology, 2010, 7 (9) : 471 - 471
  • [48] THE LEARNING CURVE FOR ROBOT-ASSISTED PARTIAL NEPHRECTOMY: IMPACT OF SURGICAL EXPERIENCE ON PERIOPERATIVE OUTCOMES
    Larcher, Alessandro
    Peyronnet, Benoit
    De Naeyer, Geert
    Muttin, Fabio
    Khene, Zine-Eddine
    Schatteman, Peter
    D'Hondt, Frederiek
    Ferriero, Cristina
    Capitanio, Umberto
    Montorsi, Francesco
    Bensalah, Karim
    Mottrie, Alexandre
    [J]. JOURNAL OF UROLOGY, 2018, 199 (04): : E625 - E625
  • [49] Robot-assisted partial nephrectomy: continued refinement of outcomes beyond the initial learning curve
    Paulucci, David J.
    Abaza, Ronney
    Eun, Daniel D.
    Hemal, Ashok K.
    Badani, Ketan K.
    [J]. BJU INTERNATIONAL, 2017, 119 (05) : 748 - 754
  • [50] Corrective Feedback in Second Language Teaching and Learning
    Mao, Zhicheng
    Jiang, Lin
    [J]. SYSTEM, 2018, 74 : 218 - 220