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Christian Ehret – Literacy, 2024
A shift in primacy from online participatory cultures to algorithmic cultures invites new questions about literacies in digital contexts. This article contributes to the conceptualisation of literacies in algorithmic cultures through sociomaterial and affect theories. It develops a sociomaterial perspective that proposes felt, observable moments…
Descriptors: Critical Literacy, Social Theories, Social Media, Computer Mediated Communication
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Z. W. Taylor; Guillermo Ortega; Susana H. Hernández – Teachers College Record, 2024
Background or Context: Although many scholars have evaluated how Hispanic-serving institutions (HSIs) "serve" and can better "serve" Latinx students and their communities, scant research has integrated artificial intelligence (AI) technology within this evaluation of diversity and "servingness." With institutions of…
Descriptors: Hispanic American Students, Minority Serving Institutions, Artificial Intelligence, Man Machine Systems
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Anmol Gulati; Harish Saini; Sultan Singh; Vinod Kumar – Marketing Education Review, 2024
The rapid proliferation of the Internet has sparked a resurgence of attention toward the function of novel artificial intelligence technologies in the higher education. The effective adoption of recent advancements in human-computer interaction is crucial for inclusive education and innovation, resulting in sustainable socioeconomic growth and…
Descriptors: Business Administration Education, Student Attitudes, Intention, Artificial Intelligence
Jionghao Lin; Shaveen Singh; Lela Sha; Wei Tan; David Lang; Dragan Gasevic; Guanliang Chen – Grantee Submission, 2022
To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Dialogs (Language), Man Machine Systems
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Nguyen, Ha; Lopez, John; Homer, Bruce; Ali, Alisha; Ahn, June – Information and Learning Sciences, 2023
Purpose: In the USA, 22-40% of youth who have been accepted to college do not enroll. Researchers call this phenomenon summer melt, which disproportionately affects students from disadvantaged backgrounds. A major challenge is providing enough mentorship with the limited number of available college counselors. The purpose of this study is to…
Descriptors: Design, Artificial Intelligence, Man Machine Systems, Interaction
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Diwanji, Vaibhav Shwetangbhai – Technology, Pedagogy and Education, 2023
Using a unique triangulation of a mixed-methods approach combining qualitative and observational techniques, this research investigated international student perceptions of the usability, interactivity and inclusiveness of a university website. The research was guided by the activity theory. Qualitative data were analysed to understand…
Descriptors: Access to Information, Inclusion, Web Sites, Universities
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Karahasanovic, Amela; Culén, Alma Leora – Interactive Technology and Smart Education, 2023
Purpose: This study aims to propose a service-dominant logic (S-DL)-informed framework for teaching innovation in the context of human--computer interaction (HCI) education involving large industrial projects. Design/methodology/approach: This study combines S-DL from the field of marketing with experiential and constructivist learning to enable…
Descriptors: Student Projects, Active Learning, Man Machine Systems, Interaction
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Jandric, Petar; Hayes, Sarah – Policy Futures in Education, 2023
This paper explores a possible future of postdigital education in 2050 using the means of social science fiction. The first part of the paper introduces the shift from 20th century primacy of physics to 21st century primacy of biology with an accent to new postdigital--biodigital reconfigurations and challenges in and after the COVID-19 pandemic.…
Descriptors: Educational Change, Technological Advancement, Futures (of Society), Educational Theories
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Andrew Kelly; Miriam Sullivan; Katrina Strampel – Journal of University Teaching and Learning Practice, 2023
The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale…
Descriptors: Artificial Intelligence, Student Attitudes, Foreign Countries, Technology Uses in Education
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Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
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Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Education and Information Technologies, 2020
Recently, tracking student behavior has become a very important phase for constructing adaptive educational systems. Several researchers have developed various methods based on machine learning for better tracing students' knowledge. Most of these methods have shown an effective estimation of student features and an accurate prediction of future…
Descriptors: Scaffolding (Teaching Technique), Predictor Variables, Student Behavior, Academic Achievement
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Zhang, Lian; Amat, Ashwaq Z.; Zhao, Huan; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan – IEEE Transactions on Learning Technologies, 2021
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by core deficits in social interaction and communication. Collaborative puzzle games are interactive activities that can be played to foster the collaboration and verbal-communication skills of children with ASD. In this article, we have designed an intelligent agent…
Descriptors: Autism, Pervasive Developmental Disorders, Interpersonal Competence, Cooperative Learning
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Wang, Yinying – Journal of Educational Administration, 2021
Purpose: Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership. Design/methodology/approach:…
Descriptors: Artificial Intelligence, Instructional Leadership, Decision Making, Man Machine Systems
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Khakpour, Alireza; Colomo-Palacios, Ricardo – Technology, Knowledge and Learning, 2021
Recent developments in human-computer interaction technologies raised the attention towards gamification techniques, that can be defined as using game elements in a non-gaming context. Furthermore, advancement in machine learning (ML) methods and its potential to enhance other technologies, resulted in the inception of a new era where ML and…
Descriptors: Game Based Learning, Artificial Intelligence, Man Machine Systems, Educational Benefits
Panda, Payod – ProQuest LLC, 2021
My multi-article dissertation explores the utility of immersive media like Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in design learning and education, particularly as we recover from the social, technological, and cultural disruptions caused by the COVID-19 global pandemic. Chapter 2 clarifies how the multiple modalities…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Design
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