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Peer reviewed
Download full textAndrés Chiappe; Juan Manuel Díaz; María Soledad Ramirez-Montoya – International Review of Research in Open and Distributed Learning, 2024
During the last decade, a growing interest in open educational resources (OER) has developed among educational researchers worldwide. This trend involves the examination of possible effects over diverse learning domains such as the development of literacy and digital skills in the context of the fourth industrial revolution. To address this…
Descriptors: Digital Literacy, Open Educational Resources, Artificial Intelligence, Usability
Direct linkM. Anthony Machin; Tanya M. Machin; Natalie Gasson – Psychology Learning and Teaching, 2024
Progress in understanding students' development of psychological literacy is critical. However, generative AI represents an emerging threat to higher education which may dramatically impact on student learning and how this learning transfers to their practice. This research investigated whether ChatGPT responded in ways that demonstrated…
Descriptors: Psychology, Higher Education, Artificial Intelligence, Intelligent Tutoring Systems
Meocha C. Williams – ProQuest LLC, 2024
Have you ever encountered a leader who just had the "it" factor? They always knew the right thing to do, and it almost felt like they could read the minds of others and anticipate their needs? What if I told you that these are also things that can be learned and strengthened within oneself based on the emotional intelligence framework?…
Descriptors: Emotional Intelligence, Women Administrators, Elementary Secondary Education, School Districts
Kanyarat Sriwisathiyakun – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: To conduct a needs assessment and subsequently create micro-storytelling media aimed at enhancing the Digital Intelligence Quotient (DQ) skills of young individuals. Background: In today's digital society, DQ has emerged as a vital skill that elevates individuals in all aspects of life, from daily living to education. To empower Thai…
Descriptors: Foreign Countries, Undergraduate Students, Story Telling, Digital Literacy
Melanie Joann Ventura – ProQuest LLC, 2024
In clinical and forensic evaluations, clinical neuropsychologists measure performance validity using standalone and embedded measures. Given the need to capture neuropsychological functioning through a variety of cognitive tests, newer, more sensitive measures should be evaluated for their utility in comparison to already established measures.…
Descriptors: Intelligence Tests, Adults, Measurement Techniques, Vocabulary
Tamar Mikeladze; Paulien C. Meijer; Roald P. Verhoeff – European Journal of Education, 2024
Recent literature underscores the need for teachers to develop AI competencies with a recognition of the current lack of well-defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) competence frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications for researchers,…
Descriptors: Artificial Intelligence, Digital Literacy, Teacher Competencies, Faculty Development
Mohamed Ally; Sanjaya Mishra – Canadian Journal of Learning and Technology, 2024
This paper highlights the importance of artificial intelligence (AI) policies in higher education institutions and presents a step-by-step process for adopting institutional policies. Emphasizing the inevitable implications on AI in teaching and learning, this paper also discusses key policy areas for consideration by the stakeholders and lists…
Descriptors: Artificial Intelligence, Educational Policy, Higher Education, Technology Uses in Education
Mohammad Arif Ul Alam; Madhavi Pagare; Susan Davis; Geeta Verma; Ashis Biswas; Justin Barbern – International Educational Data Mining Society, 2024
Recognizing the Social Determinants of Mental Health (SDMHs) among students is essential, as lower backgrounds in these determinants elevate the risk of poor academic achievement, behavioral issues, and physical health problems, thereby affecting both physical and emotional well-being. Leveraging students' self-reported lived experiential essays…
Descriptors: Mental Health, At Risk Students, Prediction, Automation
Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2024
Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…
Descriptors: Student Evaluation, Computer Assisted Testing, Artificial Intelligence, Comprehension
Monsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
Kebede, Mihiretu M.; Le Cornet, Charlotte; Fortner, Renée Turzanski – Research Synthesis Methods, 2023
We aimed to evaluate the performance of supervised machine learning algorithms in predicting articles relevant for full-text review in a systematic review. Overall, 16,430 manually screened titles/abstracts, including 861 references identified relevant for full-text review were used for the analysis. Of these, 40% (n = 6573) were sub-divided for…
Descriptors: Automation, Literature Reviews, Artificial Intelligence, Algorithms
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Elkhatat, Ahmed M.; Elsaid, Khaled; Almeer, Saeed – International Journal for Educational Integrity, 2023
The proliferation of artificial intelligence (AI)-generated content, particularly from models like ChatGPT, presents potential challenges to academic integrity and raises concerns about plagiarism. This study investigates the capabilities of various AI content detection tools in discerning human and AI-authored content. Fifteen paragraphs each…
Descriptors: Artificial Intelligence, Integrity, Plagiarism, Educational Technology
Van Biesen, D.; Van Damme, T.; Pineda, R. C.; Burns, J. – Journal of Intellectual Disabilities, 2023
Our aim was to identify the suitability of three assessment tools (i.e., Flanker test, Updating Word Span, and Color Trails Test) for future inclusion in the classification process of elite Paralympic athletes with intellectual disability and to assess the strength of the relation between Executive function (EF) and intelligence. Cognitive and EF…
Descriptors: Intellectual Disability, Inclusion, Executive Function, Intelligence
Baena-Rojas, Jose Jaime; Castillo-Martínez, Isolda Margarita; Méndez-Garduño, Juana Isabel; Suárez-Brito, Paloma; López-Caudana, Edgar Omar – Journal of Social Studies Education Research, 2023
Various technological devices, especially information communications technologies (ICTs), have become increasingly remarkable in higher education to help develop students' skills and qualifications. Considering this trend, supported by several academic theories, this paper proposes a breakthrough guidebook for universities and other scholastic…
Descriptors: Information Technology, Artificial Intelligence, Robotics, Higher Education
