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Ran Wei – Cogent Education, 2024
The utilisation of the RIASEC Theory, based on the Holland Code, has gained substantial popularity in the realm of career planning. Nevertheless, only a limited number of studies have explored the potential influence of the six personality types identified in the Realistic-Investigative-Artistic-Social-Enterprising-Conventional Theory (RIASEC…
Descriptors: Foreign Countries, Undergraduate Students, Educational Theories, Career Choice
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Board of Governors, State University System of Florida, 2024
The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…
Descriptors: State Universities, Accountability, Educational Finance, Enrollment
Anne Vicary; Jeanine Treffers-Daller – International Journal of Bilingual Education and Bilingualism, 2024
Many overseas students in Higher Education in the UK struggle to understand the compulsory texts for their course, and obtain lower scores for their modules than their monolingual peers. While the existence of this achievement gap is well established in the literature, little is known about the ways in which overseas students in HE with limited…
Descriptors: Foreign Students, Coping, Reading Strategies, Artificial Intelligence
Chelsea Waite; Janette Avelar – Center on Reinventing Public Education, 2024
Since 2019, the world has irrevocably changed, and public education is not exempt. The pandemic and related political, social, economic, and technological developments have indelibly changed the K-12 landscape. Over the past five years, the Canopy Project has documented innovations in K-12 education, uncovering how schools are addressing systemic…
Descriptors: Educational Innovation, National Programs, Instructional Design, Educational Change
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
Patrick Kyllonen; Amit Sevak; Teresa Ober; Ikkyu Choi; Jesse Sparks; Daniel Fishtein – ETS Research Report Series, 2024
Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international large-scale assessments of cognitive and…
Descriptors: Assessment Literacy, Testing, Test Bias, Test Construction
Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
Eman Abdel-Reheem Amin – Online Submission, 2024
In the pursuit of the 2030 Sustainable Development Goals (SDGs), universities play a pivotal role in driving transformative change. This paper focuses on innovative approaches centered around the role of the English language and the integration of artificial intelligence (AI) in English language education. The goal is to empower and prepare…
Descriptors: Artificial Intelligence, Sustainable Development, Objectives, Universities
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
Coelho, Heitor – Education Policy Analysis Archives, 2018
With education technology pointing to an ever-increasing automation of educational activities, a few enthusiasts go so far as to predict the replacement of teachers by robots. The present paper intends to take such declarations as a provocation, encouraging us to question our understanding of educational practices. That this possibility is even…
Descriptors: Robotics, Technology Uses in Education, Automation, Educational Practices
Marilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
David M. Alexandro – ProQuest LLC, 2018
In response to the high school dropout crisis, which comes with great economic and social costs, early warning systems (EWSs) have been developed to systematically predict and improve student outcomes. The purpose of this study is to evaluate different statistical and machine learning methods to predict high school student performance and improve…
Descriptors: At Risk Students, Progress Monitoring, Artificial Intelligence, Prediction
Kahraman, Deniz; Koc, Mustafa – International Society for Technology, Education, and Science, 2022
It is considered important for school principals to have technology leadership competencies in digital age conditions in order to carry out education and training efficiently and effectively. Since teachers see school principals as role models, how teachers perceive the technology use skills of school principals is an important factor for the…
Descriptors: Instructional Leadership, Educational Technology, Information Technology, Technology Integration