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Lu, Yu; Chen, Chen; Chen, Penghe; Yu, Shengquan – IEEE Transactions on Learning Technologies, 2023
In comparison to children and young students, adult learners usually exhibit more complex learning behaviors and psychological needs during the learning process. Designing social robots for adult learners has, thus, been a challenging task and a far less explored area, and it requires the great efforts from both technical and theoretical…
Descriptors: Adults, Adult Learning, Robotics, Artificial Intelligence
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Dake, Delali Kwasi; Gyimah, Esther – Education and Information Technologies, 2023
Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative feedback from students is now a crucial application domain of text analytics relevant to institutions. The implementation of sentiment analysis helps understand learners' appreciation of lessons, which…
Descriptors: Feedback (Response), College Students, Psychological Patterns, Algorithms
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Herfort, Jonas Dreyøe; Tamborg, Andreas Lindenskov; Meier, Florian; Allsopp, Benjamin Brink; Misfeldt, Morten – Educational Studies in Mathematics, 2023
Mathematics education is like many scientific disciplines witnessing an increase in scientific output. Examining and reviewing every paper in an area in detail are time-consuming, making comprehensive reviews a challenging task. Unsupervised machine learning algorithms like topic models have become increasingly popular in recent years. Their…
Descriptors: Mathematics Education, Technology Uses in Education, Artificial Intelligence, Algorithms
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Durall Gazulla, Eva; Martins, Ludmila; Fernández-Ferrer, Maite – Education and Information Technologies, 2023
Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…
Descriptors: Instructional Design, Cooperation, Educational Technology, Artificial Intelligence
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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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Saarinen, Risto – Gifted Education International, 2023
The article deals with the understanding of religious talent or religious excellence in the Early Modern Period. Three subtypes are identified as follows: (1) Political Heroism and the Sacred, (2) Countercultural Moral Excellence, (3) Extraordinary Emotions. It is further argued that these subtypes are to a great extent replaced with the idea of…
Descriptors: Christianity, Moral Values, Political Attitudes, Religious Factors
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Huo, Huade; Cui, Jiashan; Hein, Sarah; Padgett, Zoe; Ossolinski, Mark; Raim, Ruth; Zhang, Jijun – Journal of College Student Retention: Research, Theory & Practice, 2023
Student attrition represents one of the greatest challenges facing U.S. postsecondary institutions. Approximately 40 percent of students seeking a bachelor's degree do not graduate within 6 years; among nontraditional students, who make up half of the undergraduate population, dropout rates are even higher. In this study, we developed a machine…
Descriptors: Student Attrition, Postsecondary Education, Nontraditional Students, Dropout Rate
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Lu, Chunyan; Minneyfield, Aarren; Jia, Min; Lu, Jun; Zheng, Yan; Huo, Jingying; Wang, Ningyi; Wu, Yihua; Brantley, Jennifer – Journal of Workplace Learning, 2023
Purpose: The purpose of this paper is to explore more agile and effective learning processes that help identify potentially high-performing staff during workplace training. Design/methodology/approach: To test the efficacy of the learning-oriented assessment (LOA) process in workplace training, a pharmaceutical sales organization implemented an…
Descriptors: Workplace Learning, Job Training, Learning Processes, Artificial Intelligence
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Badal, Yudish Teshal; Sungkur, Roopesh Kevin – Education and Information Technologies, 2023
The outbreak of COVID-19 has caused significant disruption in all sectors and industries around the world. To tackle the spread of the novel coronavirus, the learning process and the modes of delivery had to be altered. Most courses are delivered traditionally with face-to-face or a blended approach through online learning platforms. In addition,…
Descriptors: Prediction, Models, Learning Analytics, Grades (Scholastic)
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da Silva, Felipe Leite; Slodkowski, Bruna Kin; da Silva, Ketia Kellen Araújo; Cazella, Sílvio César – Education and Information Technologies, 2023
Recommender systems have become one of the main tools for personalized content filtering in the educational domain. Those who support teaching and learning activities, particularly, have gained increasing attention in the past years. This growing interest has motivated the emergence of new approaches and models in the field, in spite of it, there…
Descriptors: Literature Reviews, Artificial Intelligence, Educational Research, Trend Analysis
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Buczak, Philip; Huang, He; Forthmann, Boris; Doebler, Philipp – Journal of Creative Behavior, 2023
Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter-rater-variance). Second, individual raters are prone to inconsistent scoring patterns…
Descriptors: Computer Assisted Testing, Scoring, Automation, Creative Thinking
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Urtasun, Ainhoa – Industry and Higher Education, 2023
This report describes a teaching experience with undergraduates to approach, in a simple and practical way, artificial intelligence (AI) and machine learning (ML) -- general-purpose technologies that are highly demanded in any industry today. The article shows how business undergraduates with no prior experience in coding can use AI and ML to…
Descriptors: Undergraduate Students, Student Empowerment, Artificial Intelligence, Business Education
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Sajja, Ramteja; Sermet, Yusuf; Cwiertny, David; Demir, Ibrahim – International Journal of Educational Technology in Higher Education, 2023
Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their…
Descriptors: College Students, Artificial Intelligence, Teaching Assistants, Intelligent Tutoring Systems
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Ramaswami, Gomathy; Susnjak, Teo; Mathrani, Anuradha; Umer, Rahila – Technology, Knowledge and Learning, 2023
Learning analytics dashboards (LADs) provide educators and students with a comprehensive snapshot of the learning domain. Visualizations showcasing student learning behavioral patterns can help students gain greater self-awareness of their learning progression, and at the same time assist educators in identifying those students who may be facing…
Descriptors: Prediction, Learning Analytics, Learning Management Systems, Identification
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Gavín-Chocano, Óscar; García-Martínez, Inmaculada; Pérez-Navío, Eufrasio; Molero, David – Journal of Further and Higher Education, 2023
Emotional Intelligence and resilience have become two crucial skills for the development of the individual, and they are also valid indicators of academic success at the university. Based on recent literature, the aim of this study was to determine the causal relationship between emotional intelligence and optimism vs. pessimism, with resilience…
Descriptors: College Students, Foreign Countries, Emotional Intelligence, Resilience (Psychology)
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