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      Chatbot application in a 5th grade science course

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          Abstract

          This study aims to investigate the effect of chatbots that work with artificial intelligence on the success of students and their opinions about chatbots in the ‘Matter and the changing state of matter’ unit in the 5th grade science course. In addition to text-based functions, the designed chatbot includes a video accessed on the web to support students visually and aurally. The chatbot was designed using the Dialogflow program and an instant messaging program made available to students through a group created on Telegram. The study, which used a quasi-experimental pretest-posttest design, included 41 participants ( n = 20 for the experimental, n = 21 for the control group) studying in the 5th grade of a state secondary school in the 2020-2021 academic year. Results suggest that although there was no significant difference between the experimental and control groups in terms of academic achievement, it was determined that the chatbot application positively affected the online learning experience of the experimental group students. Students’ opinions about the chatbot included that it was useful and fun, they would like to use it for other courses, it provided useful assistance in learning outside the classroom, and it allowed them to repeat the course again. The results showed that, especially during the Covid-19 pandemic, such applications could contribute positively to students’ learning.

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          Most cited references24

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          Is Open Access

          Chatbots for learning: A review of educational chatbots for the Facebook Messenger

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            Chatbot learning partners: Connecting learning experiences, interest and competence

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              Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performance

              This study investigated the impact of a chatbot-based micro-learning system on students’ learning motivation and performance. A quasi-experiment was conducted with 99 first-year students taking part in a basic computer course on number system conversion. The students were assigned to a traditional learning group or a chatbot-based micro-learning group. After the experiment, both groups achieved a comparable performance, suggesting that students are sufficiently competent to learn independently in the chatbot-based learning environment without the need for continuous face-to-face delivery. Moreover, students in the chatbot learning group attained significantly higher intrinsic motivation than the traditional learning group with perceived choice and perceived value as core predictors of intrinsic motivation. Further analysis with the Johnson-Neyman procedure revealed differences on interaction between the perceived choice and the learning environments. For students with a high initial perceived choice (>=5.1), chatbot-based learning further enhances their post choice motivation whereas for students with a low initial perceived choice (<=3.0), the traditional classroom is more suitable to enhance their post choice motivation. The implications of the findings can help instructors to incorporate chatbot-based learning in the classroom.

                Author and article information

                Contributors
                arzudevecit@gmail.com
                canandilek@gmail.com
                aynurgecer@hotmail.com
                Journal
                Educ Inf Technol (Dordr)
                Educ Inf Technol (Dordr)
                Education and Information Technologies
                Springer US (New York )
                1360-2357
                1573-7608
                17 June 2021
                : 1-25
                Affiliations
                [1 ]GRID grid.411105.0, ISNI 0000 0001 0691 9040, Informatics Department, , Kocaeli University, ; 41380, Umuttepe Campus, İzmit, Kocaeli Turkey
                [2 ]GRID grid.411105.0, ISNI 0000 0001 0691 9040, Faculty of Education, Department of Science Education, , Kocaeli University, ; İzmit, Turkey
                [3 ]GRID grid.411105.0, ISNI 0000 0001 0691 9040, Faculty of Education, Department of Computer and Instructional Technologies Education, , Kocaeli University, ; İzmit, Turkey
                Author information
                http://orcid.org/0000-0001-5090-8592
                https://orcid.org/0000-0002-7004-5066
                https://orcid.org/0000-0002-2000-9526
                Article
                10627
                10.1007/s10639-021-10627-8
                8211302
                34177344
                de38d977-d70a-4fde-91b3-b3c3403b6782
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 19 March 2021
                : 7 June 2021
                Categories
                Article

                science education,chatbot application,matter and changing state of matter

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