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Simonet, Daniel V.; Miller, Katherine E.; Askew, Kevin L.; Sumner, Kenneth E.; Mortillaro, Marcello; Schlegel, Katja – Journal of Intelligence, 2021
Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we…
Descriptors: Emotional Intelligence, Intelligence Tests, Self Control, Psychometrics
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
Sara Maria Yepes Zuluaga – Higher Education, Skills and Work-based Learning, 2024
Purpose: In the current labour context, employability is an important tool for recently graduated who are entering the labour market and must face major challenges that include a decrease in job opportunities, the rapid evolution of technology, and the need for lifelong learning. Design/methodology/approach: This study analyses the impact of the…
Descriptors: Foreign Countries, College Seniors, College Graduates, Engineering Education
Allie Michael; Abdullah O. Akinde – Assessment Update, 2024
Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Surveys, Feedback (Response)
Li Bao; Pitsanu Boonsriana – International Journal of Education and Literacy Studies, 2024
Chengdu's popular music, with its profound historical and cultural significance, serves as an educational resource at the intersection of music, literacy, and cultural education. This research aims to propose guidelines for the teaching resource of Chengdu popular music for fostering literacy and cultural education. Located in the culturally…
Descriptors: Foreign Countries, Popular Culture, Music, Literacy
Muhammad Abbas; Farooq Ahmed Jam; Tariq Iqbal Khan – International Journal of Educational Technology in Higher Education, 2024
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
Abdullahi Yusuf; Nasrin Pervin; Marcos Román-González – International Journal of Educational Technology in Higher Education, 2024
In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence of generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication of GenAI tools has raised concerns about their potential to automate teaching and…
Descriptors: Artificial Intelligence, Educational Trends, Futures (of Society), Higher Education
Yoonkyung Chung; Joo Yeon Shin – International Journal for Educational and Vocational Guidance, 2024
To investigate individuals' implicit beliefs--underlying assumptions about the self and the world--the present study validated the Korean version of the implicit theory of work scale for undergraduates, exploring its role in career-related behaviors and affect. The study used two different samples of 560 and 340 undergraduates who participated in…
Descriptors: Undergraduate Students, Student Attitudes, Intelligence, Foreign Countries
Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
Cerstin Mahlow; Malgorzata Anna Ulasik; Don Tuggener – Reading and Writing: An Interdisciplinary Journal, 2024
Producing written texts is a non-linear process: in contrast to speech, writers are free to change already written text at any place at any point in time. Linguistic considerations are likely to play an important role, but so far, no linguistic models of the writing process exist. We present an approach for the analysis of writing processes with a…
Descriptors: Writing Processes, Methods, Sentences, Evaluation Methods
Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
Sinan Onal; Derya Kulavuz-Onal – Journal of Educational Technology Systems, 2024
This paper examines the potential uses of ChatGPT in generating assessment tasks that can be used across different disciplines in higher education. To illustrate this, we provide examples from three courses in the disciplines of industrial engineering and applied linguistics: Project Analysis and Control, Manufacturing Processes, and Introduction…
Descriptors: Teaching Methods, Higher Education, Artificial Intelligence, Synchronous Communication
K. Kavitha; V. P. Joshith – Journal of Educational Technology Systems, 2024
Integrating artificial intelligence (AI) stands out as the most dynamic and innovative breakthrough in introducing disruptive paths in the varied domains of education. This bibliometric analysis delved into the trajectory of AI's evolving landscape within educational settings over two decades, encompassing 324 articles published from 2003 to 2023,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Technological Advancement
Lei Guo; Wenjie Zhou; Xiao Li – Journal of Educational and Behavioral Statistics, 2024
The testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the multiple-choice cognitive diagnostic testlet (MC-CDT) model for tests using testlets consisting of MC items. The MC-CDT model uses the original examinees' responses to MC items instead of dichotomously scored…
Descriptors: Multiple Choice Tests, Diagnostic Tests, Accuracy, Computer Software

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