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XIA, Qi; Chiu, Thomas K. F. – AERA Online Paper Repository, 2023
Artificial intelligence (AI) education is still in the exploratory stage for K-12 schools. There is a serious lack of studies that informed schools teachers about AI curriculum design. Accordingly, this paper presented an AI curriculum and examined whether the curriculum improves students' perceived AI knowledge, attitudes, and motivation towards…
Descriptors: Artificial Intelligence, Learning Motivation, Teaching Methods, Academic Achievement
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Vladislav Slavov; Kamelia Yotovska; Asya Asenova – International Association for Development of the Information Society, 2023
Artificial intelligence (AI) technology is already challenging a variety of societal areas, including education. It is transforming education to data driven. AI-enhanced technologies in education (abbreviated AIinED) will have a significant role in changing the teaching and learning methods, as well as impacting the behavior and organization of…
Descriptors: Artificial Intelligence, High School Students, Student Attitudes, Technology Uses in Education
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Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2019
As artificial intelligence (AI) increasingly enters K-12 classrooms, what do teachers and students see as the roles of human versus AI instruction, and how might educational AI (AIED) systems best be designed to support these complementary roles? We explore these questions through participatory design and needs validation studies with K12 teachers…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Elementary Secondary Education
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Obari, Hiroyuko; Lambacher, Stephen – Research-publishing.net, 2019
A constructivist approach to language learning can motivate students by activating their brains to create new knowledge and reflect more consistently and deeply on their language learning experience. The present study focused on assessing the use of the Artificial Intelligence (AI) speakers Google Home Mini and Amazon Alexa as part of a Blended…
Descriptors: Undergraduate Students, Japanese, English (Second Language), Second Language Learning
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Weber, Felix – International Association for Development of the Information Society, 2022
Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…
Descriptors: Goal Orientation, Computer Software, Artificial Intelligence, Universities
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Michael Burkhard – International Association for Development of the Information Society, 2023
Due to the advances of artificial intelligence (AI) and natural language processing, new AI-powered writing tools have emerged. They can be used by students among other things for text translation, to improve spelling or to generate new texts. In academic writing, AI-powered writing tools are posing challenges but also opportunities for teaching…
Descriptors: Artificial Intelligence, Writing (Composition), Writing Processes, Writing Strategies
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Li, Haiying; Chen, Qinyu; Yu, Qiong; Graesser, Arthur C. – Grantee Submission, 2015
This paper investigates how the peer agent's learning competency affects English learners' reading, engagement, system self-efficacy, and attitudes toward the peer agent in a trialogue-based intelligent tutoring system (ITS). Participants learned a summarizing reading strategy in the compare-contrast text structure in the ITS. Results detected the…
Descriptors: English Language Learners, Reading Skills, Reading Strategies, Intelligent Tutoring Systems
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Uygun, Kamil; Aribas, Bilal Burak – Educational Policy Analysis and Strategic Research, 2020
The purpose of this study is to examine the relationship between social intelligence levels and communication skills of pre-service social studies teachers. In the content of the study, the relational screening model, which is one of the descriptive survey models, has been used. The sample of the survey consists of the third- and fourth-year…
Descriptors: Correlation, Interpersonal Competence, Communication Skills, Social Studies
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Saastamoinen, Kalle; Rissanen, Antti – International Baltic Symposium on Science and Technology Education, 2019
Conventional learning guidance systems are typically automated machines for creating teaching materials: quizzes, exercises, examinations etc. In the future, systems will also offer ease of use, attention to sociality, ability to adapt to the pupil's needs and skill levels, and time savings. Ease-of-use and adaptation can be sought using systems…
Descriptors: Teaching Methods, Intelligent Tutoring Systems, Artificial Intelligence, Usability
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Schurz, Katharina; Schrumpf, Johannes; Weber, Felix; Lübcke, Maren; Seyfeli, Funda; Wannemacher, Klaus – International Association for Development of the Information Society, 2021
Digital Study Assistants (DSA) aim to support individual learning processes by designing them appropriately and efficiently based on recommendations. In this paper we present a prototype of a DSA for students in higher education of three German universities. The digital data driven DSA is integrated into the local learning management system and…
Descriptors: Higher Education, Foreign Countries, Artificial Intelligence, Independent Study
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Feng, Shi; Stewart, Janay; Clewley, Danielle; Graesser, Arthur C. – Grantee Submission, 2015
We manipulated three types of short feedback (emotional, epistemic, and neutral) in an intelligent tutoring system designed to help struggling adult readers improve reading comprehension strategies. We conducted our research on college students to eventually compare with the targeted adult population. We also recorded their facial emotions.…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Feedback (Response)
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Roscoe, Rod D.; Snow, Erica L.; Brandon, Russell D.; McNamara, Danielle S. – Grantee Submission, 2013
The ability of educational games to promote students' engagement in learning and practice depends on perceived enjoyment of those games. This study investigated high school students' perceptions and enjoyment of games within the Writing Pal intelligent tutoring system. In accord with research on motivation, results showed that perceived…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Intelligent Tutoring Systems
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Johnson, Amy M.; Guerrero, Tricia A.; Tighe, Elizabeth L.; McNamara, Danielle S. – Grantee Submission, 2017
There is little empirical research available on the substantial problem of adult low literacy rates, and limited educational technologies are available to address distinct instructional needs of this population. This paper reports on development and testing of a version of Interactive Strategy Training for Active Reading and Thinking (iSTART) for…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
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Tan, Fujuan – Commission for International Adult Education, 2022
Internationalization has become a substantial part of higher education worldwide, especially in the U.S. Moreover, Chinese students make up the largest portion of the U.S.'s international higher education students. The COVID-19 pandemic has caused a disruption in higher education, especially posing considerable challenges to international…
Descriptors: COVID-19, Pandemics, International Education, Higher Education
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Burkhard, Michael – International Association for Development of the Information Society, 2022
Due to the advances of artificial intelligence (AI) and natural language processing, new kinds of Internet-based writing tools have emerged. Among other things, these AI-powered writing tools can be used by students for text translation, to improve spelling or for rewriting and summarizing texts. On the one hand, they can provide detailed…
Descriptors: College Freshmen, Artificial Intelligence, Writing (Composition), Writing Processes
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