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Schrader, Peter G.; Carroll, Mark C.; McCreery, Michael P.; Head, Danielle L. – Journal of Educational Computing Research, 2020
Researchers have called for additional empirical studies associated with video games. However, every game is novel in terms of mechanics, content, context, and agency; known variables may be operationalized differently based on the game involved. It is incumbent upon researchers to leverage or create the best tools when extracting data from games.…
Descriptors: Man Machine Systems, Social Media, Computer Games, Discussion Groups
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Ahn, June; Campos, Fabio; Hays, Maria; DiGiacomo, Daniela – Journal of Learning Analytics, 2019
Researchers and developers of learning analytics (LA) systems are increasingly adopting human-centred design (HCD) approaches, with growing need to understand how to apply design practice in different educational settings. In this paper, we present a design narrative of our experience developing dashboards to support middle school mathematics…
Descriptors: Learning Analytics, Usability, Man Machine Systems, Interaction
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Sulmont, Elisabeth; Patitsas, Elizabeth; Cooperstock, Jeremy R. – ACM Transactions on Computing Education, 2019
Given its societal impacts and applications to numerous fields, machine learning (ML) is an important topic to understand for many students outside of computer science and statistics. However, machine-learning education research is nascent, and research on this subject for non-majors thus far has only focused on curricula and courseware. We…
Descriptors: Man Machine Systems, Artificial Intelligence, Nonmajors, College Faculty
New England Journal of Higher Education, 2018
New England Board of Higher Education's Commission on Higher Education & Employability has thought hard over the past year about the increasing role of artificial intelligence and robotics in the future of life and work. Many others are also waking up to this landscape, which not so long ago seemed like science fiction. Machines have changed…
Descriptors: Artificial Intelligence, Robotics, Decision Making, Moral Values
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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
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Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems
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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
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Demmans Epp, Carrie; Phirangee, Krystle; Hewitt, Jim; Perfetti, Charles A. – Educational Technology Research and Development, 2020
From massive open online courses (MOOC) to the smaller scale use of learning management systems, many students interact with online platforms that are meant to support learning. Investigations into the use of these systems have considered how well students learn when certain approaches are employed. However, we do not fully understand how course…
Descriptors: Integrated Learning Systems, Student Experience, Learning Analytics, Online Courses
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Bos, Andreia S.; Herpich, Fabrício; Kuhn, Igor; Guarese, Renan L. M.; Tarouco, Liane M. R.; Zaro, Milton A.; Pizzato, Michelle; Wives, Leandro – Journal of Educational Computing Research, 2019
In the course of a teaching and learning process, different cognitive skills are required for a student. Attention is an important variable to be measured, since it plays a fundamental role in the accumulation of information with the stimulus of the learner's memory in the course of the assimilation of knowledge. The purpose of this article is to…
Descriptors: Educational Technology, Attention, Computer Simulation, Simulated Environment
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Merkouris, Alexandros; Chorianopoulos, Konstantinos – ACM Transactions on Computing Education, 2019
Contemporary research has explored educational robotics, but it has not examined the development of computational thinking in the context of programming embodied interactions. Apart from the goal of the robot and how the robot will interact with its environment, another important aspect that should be taken into consideration is whether and how…
Descriptors: Educational Technology, Robotics, Middle School Students, Man Machine Systems
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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
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Przybyla, Piotr; Brockmeier, Austin J.; Kontonatsios, Georgios; Le Pogam, Marie-Annick; McNaught, John; Elm, Erik; Nolan, Kay; Ananiadou, Sophia – Research Synthesis Methods, 2018
Screening references is a time-consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be reduced by using machine learning software to prioritise large reference collections such that most of the relevant references are identified before screening is completed. We describe and…
Descriptors: Citations (References), Literature Reviews, Research Tools, Computer Software
Beck, Jordan – ProQuest LLC, 2017
Theory has been an object of interest for HCI researchers working on questions related to disciplinary identity and maturity. And recently there have been empirical studies of theory use in HCI research publications. These recent studies are crucial for enriching our understanding of how HCI researchers use theoretical knowledge objects like…
Descriptors: Man Machine Systems, Interaction, Theory Practice Relationship, Scholarship
Opper, Isaac M. – RAND Corporation, 2020
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias…
Descriptors: Artificial Intelligence, Man Machine Systems, Educational Technology, Technology Uses in Education
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Omid Noroozi; Saba Soleimani; Mohammadreza Farrokhnia; Seyyed Kazem Banihashem – International Journal of Technology in Education, 2024
Recently, ChatGPT, a cutting-edge large language model, has emerged as a powerful Generative Artificial Intelligence (GenAI) tool with the capacity to influence education. ChatGPT provides ample opportunities for learners, researchers, educators, and practitioners to achieve the intended learning outcomes in various disciplines. This special issue…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Methods, Educational Theories
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