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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
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
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
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
Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training
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
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
Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
María-Isabel de Vicente-Yagüe-Jara; Olivia López-Martínez; Verónica Navarro-Navarro; Francisco Cuéllar-Santiago – Comunicar: Media Education Research Journal, 2023
The main objective of the research is to study the creative potential of Artificial Intelligence (AI) for writing skills in an educational context. The research aims to provide evidence on the use of AI and contribute to its integration in the classroom as a support for the teaching-learning process. Two types of research designs were established:…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Creativity
Nash, Richard; Yamada-Rice, Dylan; Dare, Eleanor; Love, Steve; Main, Angus; Potter, John; Rodrigues, Deborah – Qualitative Research Journal, 2022
Purpose: The purpose of this paper is to focus on a designed research methodology to distil existing research findings from an esrc/ahrc funded japan/uk network on location-based virtual reality experiences for children in order to generate new knowledge. Design/methodology/approach: The structured co-production methodology was undertaken in three…
Descriptors: Periodicals, Collaborative Writing, Computer Simulation, Foreign Countries
Verma, Amit; Lamsal, Kamal; Verma, Payal – Industry and Higher Education, 2022
Due to the advent of big data and efficient computational resources, artificial intelligence (AI) and machine learning (ML) have seen massive growth in recent years. Informatics degree programs are scrambling to meet the ever-increasing market demand of such professions. To explore the skillsets required for AI and ML positions, the authors…
Descriptors: Artificial Intelligence, Man Machine Systems, Job Skills, Employment Qualifications
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2022
Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Bibliometrics
Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
Flor, Michael; Andrews-Todd, Jessica – Journal of Computer Assisted Learning, 2022
Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…
Descriptors: Automation, Documentation, Cooperative Learning, Teamwork
Kappus, Martin; Ehrensberger-Dow, Maureen – Interpreter and Translator Trainer, 2020
Professional translation and consequently translation training involve a wide range of technological aids and translation tools. A great deal of effort has been devoted to developing and implementing features that can contribute to higher consistency, productivity and quality but less attention has been paid to the needs of learners and users.…
Descriptors: Human Factors Engineering, Translation, Training, Usability