Publication Date
In 2025 | 1 |
Since 2024 | 6 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 13 |
Since 2006 (last 20 years) | 18 |
Descriptor
Source
Author
Adam Stivers | 1 |
Aggarwal, Varun | 1 |
Agjei, Richard Osei | 1 |
Akar, Gozde B. | 1 |
Amandi, Analia | 1 |
Ansong-Gyimah, Kwame | 1 |
Baker, Eva L. | 1 |
C. Thirumalai Selvan | 1 |
Chang Xu | 1 |
Changyu Yang | 1 |
Demuth, Katherine | 1 |
More ▼ |
Publication Type
Reports - Evaluative | 22 |
Journal Articles | 18 |
Opinion Papers | 4 |
Speeches/Meeting Papers | 3 |
Books | 1 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Researchers | 1 |
Teachers | 1 |
Location
Connecticut | 1 |
Washington | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Group Embedded Figures Test | 1 |
Torrance Tests of Creative… | 1 |
What Works Clearinghouse Rating
Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
Giannakas, Filippos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Education and Information Technologies, 2022
Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…
Descriptors: Comparative Analysis, Artificial Intelligence, Prediction, Cooperative Learning
Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Kolog, Emmanuel Awuni; Devine, Samuel Nii Odoi; Ansong-Gyimah, Kwame; Agjei, Richard Osei – Education and Information Technologies, 2019
Learners' adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students' academic orientation and performance. Tracking emotions in text by psychologists have long been a subject…
Descriptors: Psychological Patterns, Artificial Intelligence, Identification, Classification
Demuth, Katherine; Johnson, Mark – First Language, 2020
Exemplar-based learning requires: (1) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (2) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require…
Descriptors: Comparative Analysis, Language Acquisition, Linguistic Theory, Grammar
Yamada, Taketo; Matsuura, Kenji; Takeuchi, Hironori; Kashihara, Akihiro; Yamasaki, Kenichi; Kurita, Genta – International Association for Development of the Information Society, 2022
It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their…
Descriptors: Motor Vehicles, Traffic Safety, Specialists, Comparative Analysis
Jennifer Redmann – Unterrichtspraxis/Teaching German, 2024
Genre, defined as a "staged goal-oriented social process" (Martin, 2009), has long stood as a key principle in second-language writing instruction. This article presents the principles underpinning genre theory as it relates to the language curriculum and the five phases of genre-based L2 writing pedagogy. This pedagogy provides the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, German
Luckin, Rosemary – UCL IOE Press, 2018
Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with qualities it does not have and, in so doing, risk losing the capacity for education to pass on the emotional, collaborative, sensory and…
Descriptors: Man Machine Systems, Educational Trends, Artificial Intelligence, Capacity Building
Unnam, Abhishek; Takhar, Rohit; Aggarwal, Varun – International Educational Data Mining Society, 2019
Email has become the most preferred form of business communication. Writing "good" email has become an essential skill required in the industry. "Good" email writing not only facilitates clear communication, but also makes a positive impression on the recipient, whether it be one's colleague or a customer. The aim of this paper…
Descriptors: Grading, Electronic Mail, Feedback (Response), Written Language
Shaw, Keith – British Journal of Educational Technology, 2008
This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…
Descriptors: Industrial Training, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
Monteserin, Ariel; Schiaffino, Silvia; Amandi, Analia – Computers & Education, 2010
In CSCL systems, students who are solving problems in group have to negotiate with each other by exchanging proposals and arguments in order to resolve the conflicts and generate a shared solution. In this context, argument construction assistance is necessary to facilitate reaching to a consensus. This assistance is usually provided with isolated…
Descriptors: Persuasive Discourse, Problem Solving, Cooperative Learning, Artificial Intelligence
Previous Page | Next Page ยป
Pages: 1 | 2