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Guggemos, Josef; Seufert, Sabine; Sonderegger, Stefan – British Journal of Educational Technology, 2020
This study investigates the acceptance of social robots by higher education students in the social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a sample of its capabilities during a first semester, large-scale, university course, "Introduction to academic writing."From this course, 462 freshmen participated…
Descriptors: Robotics, Technology Uses in Education, Higher Education, Social Sciences
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Castro, Robin – Education and Information Technologies, 2019
Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors' interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Higher Education
Edwards, Autumn P.; Edwards, Chad; Spence, Patric R. – Journal of Communication Pedagogy, 2018
Tips offered center on classroom discourse, curriculum choices, and potential assignments. In this article, we present tips for creating a thriving undergraduate and graduate communication research lab. Based on our experiences developing and co-directing the Communication and Social Robotics Labs (CSRLs), we offer 10 best practices for acquiring…
Descriptors: Communication (Thought Transfer), Undergraduate Study, Graduate Study, Curriculum Development
Hsiao-Ling Hsu; Howard Hao-Jan Chen; Andrew G. Todd – Interactive Learning Environments, 2023
With advances in technology, intelligent personal assistants (IPAs) have become available to assist users with a variety of tasks using voice commands. Because IPAs may induce dialogic interactions, researchers speculated that they may benefit second language learning, especially regarding pronunciation, listening and speaking skills. So far, very…
Descriptors: Foreign Countries, College Students, English (Second Language), Artificial Intelligence
Stefan Küchemann; Steffen Steinert; Natalia Revenga; Matthias Schweinberger; Yavuz Dinc; Karina E. Avila; Jochen Kuhn – Physical Review Physics Education Research, 2023
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Physics
Pelzer, Elena; Turner, Benjamin O. – Communication Teacher, 2022
With the increase in demand for online learning, machine teachers are becoming an important technology in higher education, since they are expected to improve teaching effectiveness and student learning outcomes. However, machine teachers require an aptitude for technology and are associated with high initial costs. Thus, here, we use a more basal…
Descriptors: Electronic Learning, Technology Uses in Education, Interaction, In Person Learning
Ozkale, Abdullah; Koc, Mustafa – International Journal of Technology in Education and Science, 2020
This phenomenological study examines academicians' beliefs and lived experiences of using tablet PC based on Human-Computer Interaction (HCI) and Technology Acceptance Model (TAM). Participants included 15 academic staff working in a university in Turkey. Data were collected through in-depth semi-structured interviews and subjected to content…
Descriptors: Handheld Devices, Telecommunications, Computer Uses in Education, Technology Integration
Salas-Rueda, Ricardo-Adán – E-Learning and Digital Media, 2020
This quantitative research aims to analyze the impact of the WampServer application in Blended learning during the educational process of computing through data science, machine learning, and neural networks. WampServer is a free application that allows the creation of websites considering the use of the database. This research proposes the use of…
Descriptors: Computer Software, Blended Learning, Educational Technology, Technology Uses in Education
Belda-Medina, Jose; Kokošková, Vendula – International Journal of Educational Technology in Higher Education, 2023
Recent advances in Artificial Intelligence (AI) have paved the way for the integration of text-based and voice-enabled chatbots as adaptive virtual tutors in education. Despite the increasing use of AI-powered chatbots in language learning, there is a lack of studies exploring the attitudes and perceptions of teachers and students towards these…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Man Machine Systems
Foreign Language Acquisition via Artificial Intelligence and Extended Reality: Design and Evaluation
Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas – Computer Assisted Language Learning, 2022
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…
Descriptors: Second Language Learning, Language Acquisition, Artificial Intelligence, Computer Simulation
Bosch, Nigel; Crues, R. Wes; Shaik, Najmuddin; Paquette, Luc – Grantee Submission, 2020
Online courses often include discussion forums, which provide a rich source of data to better understand and improve students' learning experiences. However, forum messages frequently contain private information that prevents researchers from analyzing these data. We present a method for discovering and redacting private information including…
Descriptors: Privacy, Discussion Groups, Asynchronous Communication, Methods
Yaras, Zübeyde; Öztürk, Fikriye Kanatli – International Journal of Progressive Education, 2022
In the conducted study, it was aimed to determine the impacts of Society 5.0 on digital transformation in organizations in human technology integration. For this purpose, answers were sought to the questions of changing positions of people in line with changing business conditions, functions of people in the digital world, changing roles of…
Descriptors: Foreign Countries, Undergraduate Students, Technology Integration, Technological Advancement
Kapros, Evangelos – International Online Journal of Primary Education, 2018
Fitts' Law is, more often than not, thought of as standard knowledge in the field of Human-Computer Interaction. However, in many occasions, interface components are being built by professionals with little or no knowledge of HCI principles (e.g., software menus are often being built by software developers with no designer input). How much…
Descriptors: Man Machine Systems, Computer Software, Design, Computer Science Education