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User Evaluation of Social Robots as a Tool in One-to-One Instructional Settings for Students with Learning Disabilities

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Social Robotics (ICSR 2022)

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Learning is more challenging for students with learning disabilities. They often require supplementary learning support such as one-to-one instruction to address academic skill gaps. In this research, we explore the impact of using assistive technology- a social robot, as an educational tool for instructors to support students with learning disabilities. The purpose of the study was to a) to evaluate the acceptance of the social robot by the users, i.e., instructors and students in a real-world educational setting; b) understand the impact of the robot’s intervention on student’s engagement during learning tasks over multiple learning sessions. We conducted a multi-session between-subjects study with 16 students within two conditions, control and intervention condition with the QT robot. Our qualitative analysis suggests that instructors and students showed positive attitudes towards the social robot in their one-to-one sessions. In addition, the students were more engaged with their task in the presence of the robot, and displayed fewer off-task behaviours in the intervention condition, compared to the control condition. These results suggest that a social robot can be used as an effective educational tool for instructors in boosting engagement and mitigating off-task behaviours for students with learning disabilities.

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  1. 1.

    The existing program develops students’ independence, confidence, and academic achievements through one-to-one instructions with certified instructors.

  2. 2.

    The Community Research Ethics Office is located in Ontario, Canada, whose mandate is to strengthen and support community based research in Canada and internationally,

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  1. Atanga, C., Jones, B.A., Krueger, L.E., Lu, S.: Teachers of students with learning disabilities: assistive technology knowledge, perceptions, interests, and barriers. J. Spec. Educ. Technol. 35(4), 236–248 (2020)

    Article  Google Scholar 

  2. Azizi, N., Chandra, S., Gray, M., Sager, M., Fane, J., Dautenhahn, K.: An initial investigation into the use of social robots within an existing educational program for students with learning disabilities. In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1490–1497 (2022).

  3. Barga, N.K.: Students with learning disabilities in education: managing a disability. J. Learn. Disabil. 29(4), 413–421 (1996)

    Article  Google Scholar 

  4. Benmarrakchi, F., Ouherrou, N., Elhammoumi, O., El Kafi, J.: An innovative approach to involve students with learning disabilities in intelligent learning systems. In: Ezziyyani, M. (ed.) AI2SD 2018. AISC, vol. 914, pp. 39–50. Springer, Cham (2019).

    Chapter  Google Scholar 

  5. Büttner, G., Hasselhorn, M.: Learning disabilities: debates on definitions, causes, subtypes, and responses. Int. J. Disabil. Dev. Educ. 58(1), 75–87 (2011)

    Article  Google Scholar 

  6. Chandra, S., Dillenbourg, P., Paiva, A.: Children teach handwriting to a social robot with different learning competencies. Int. J. Soc. Robot. 12(3), 721–748 (2020)

    Article  Google Scholar 

  7. Clabaugh, C., Matarić, M.: Escaping OZ: autonomy in socially assistive robotics. Ann. Rev. Control Robot. Autonom. Syst. 2, 33–61 (2019)

    Article  Google Scholar 

  8. Conti, D., Di Nuovo, S., Buono, S., Di Nuovo, A.: Robots in education and care of children with developmental disabilities: a study on acceptance by experienced and future professionals. Int. J. Soc. Robot. 9(1), 51–62 (2017)

    Article  Google Scholar 

  9. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  10. Di Battista, S., Pivetti, M., Moro, M., Menegatti, E.: Teachers’ opinions towards educational robotics for special needs students: an exploratory Italian study. Robotics 9(3), 72 (2020)

    Article  Google Scholar 

  11. Franke, T., Attig, C., Wessel, D.: A personal resource for technology interaction: development and validation of the affinity for technology interaction (ati) scale. Int. J. Hum.-Comput. Interac. 35(6), 456–467 (2019)

    Article  Google Scholar 

  12. Ghazali, A.S., Ham, J., Barakova, E., Markopoulos, P.: Persuasive robots acceptance model (pram): roles of social responses within the acceptance model of persuasive robots. Int. J. Soc. Robot. 12(5), 1075–1092 (2020)

    Article  Google Scholar 

  13. Hassan, A.E.H.: Emotional and behavioral problems of children with learning disabilities. J. Educ. Policy Entrepreneurial Res. (JEPER) 2(10), 66–74 (2015)

    Google Scholar 

  14. Ismaili, J., Ibrahimi, E.H.O.: Mobile learning as alternative to assistive technology devices for special needs students. Educ. Inf. Technol. 22(3), 883–899 (2017)

    Article  Google Scholar 

  15. Karageorgiou, E., et al.: Development of educational scenarios for child-robot interaction: the case of learning disabilities. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds.) RiE 2021. AISC, vol. 1359, pp. 26–33. Springer, Cham (2022).

    Chapter  Google Scholar 

  16. Krishnaswamy, S., Shriber, L., Srimathveeravalli, G.: The design and efficacy of a robot-mediated visual motor program for children learning disabilities. J. Comput. Assist. Learn. 30(2), 121–131 (2014)

    Article  Google Scholar 

  17. Lyon, G.R., et al.: Rethinking learning disabilities. Rethinking Spec. Educ. New Century 259–287 (2001)

    Google Scholar 

  18. Papakostas, G.A., et al.: Estimating children engagement interacting with robots in special education using machine learning. Math. Prob. Eng. (2021)

    Google Scholar 

  19. Syrdal, D.S., Dautenhahn, K., Robins, B., Karakosta, E., Jones, N.C.: Kaspar in the wild: experiences from deploying a small humanoid robot in a nursery school for children with autism. Paladyn, J. Behav. Robot. 11(1), 301–326 (2020)

    Article  Google Scholar 

  20. Tapus, A., Mataric, M.J., Scassellati, B.: Socially assistive robotics [grand challenges of robotics]. IEEE Robot. Autom. Mag. 14(1), 35–42 (2007)

    Article  Google Scholar 

  21. Tlili, A., Lin, V., Chen, N.S., Huang, R.: A systematic review on robot-assisted special education from the activity theory perspective. Educ. Technol. Soc. 23(3), 95–109 (2020)

    Google Scholar 

  22. Turba, B.: The use of movement integration in a fifth grade classroom to reduce off-task behaviors at the beginning of the math period. Ph.D. thesis, Caldwell University (2019)

    Google Scholar 

  23. Vaughn, S., Linan-Thompson, S.: What is special about special education for students with learning disabilities? J. Spec. Educ. 37(3), 140–147 (2003)

    Article  Google Scholar 

  24. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)

    Article  Google Scholar 

  25. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Q. 425–478 (2003)

    Google Scholar 

  26. Winter, E., Costello, A., O’Brien, M., Hickey, G.: Teachers’ use of technology and the impact of covid-19. Irish Educ. Stud. 40(2), 235–246 (2021)

    Article  Google Scholar 

  27. Zhang, Y., et al.: Could social robots facilitate children with autism spectrum disorders in learning distrust and deception? Comput. Hum. Behav. 98, 140–149 (2019)

    Article  Google Scholar 

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Correspondence to Negin Azizi .

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Azizi, N., Chandra, S., Gray, M., Fane, J., Sager, M., Dautenhahn, K. (2022). User Evaluation of Social Robots as a Tool in One-to-One Instructional Settings for Students with Learning Disabilities. In: Cavallo, F., et al. Social Robotics. ICSR 2022. Lecture Notes in Computer Science(), vol 13818. Springer, Cham.

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