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Maria Klar; Josef Buchner; Michael Kerres – Open Education Studies, 2024
Metacognitive activities are reported to improve learning but prompts to support metacognition have only been investigated with mixed results. In the present study, metacognitive prompts for confidence judgments were implemented in a learning platform to provide more insights into their effectiveness and their limits. Comparing the prompted group…
Descriptors: Metacognition, Prompting, Self Management, Performance
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Ingela Holmström; Krister Schönström; Magnus Ryttervik – Language Assessment Quarterly, 2024
There is a lack of tests available for assessing sign language proficiency among L2 learners. We have therefore developed a sign repetition test, SignRepL2, with a specific focus on the phonological features of signs. This paper describes the two phases of developing this test. In the first phase, content was developed in the form of 50 items with…
Descriptors: Sign Language, Novices, Task Analysis, Second Language Learning
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Courtenay A. Barrett; Lindy J. Johnson; Adrea J. Truckenmiller; Amanda M. VanDerHeyden – Remedial and Special Education, 2024
U.S. elementary schools administer reading screeners to identify students in need of remedial instruction. However, the administration of additional assessments comes with a cost. It is unclear the extent to which multiple types of reading screeners warrant the increase in resources that could be used for instruction. This study compared…
Descriptors: Elementary School Students, Grade 3, Costs, Accuracy
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Diane K. Angell; Sharon Lane-Getaz; Taylor Okonek; Stephanie Smith – CBE - Life Sciences Education, 2024
Preparing for exams in introductory biology classrooms is a complex metacognitive task. Focusing on lower achieving students (those with entering ACT scores below the median at our institution), we compared the effect of two different assignments distributed ahead of exams by dividing classes in half to receive either terms to define or open-ended…
Descriptors: Test Preparation, Metacognition, Introductory Courses, Biology
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Krishna Mohan Surapaneni; Anusha Rajajagadeesan; Lakshmi Goudhaman; Shalini Lakshmanan; Saranya Sundaramoorthi; Dineshkumar Ravi; Kalaiselvi Rajendiran; Porchelvan Swaminathan – Biochemistry and Molecular Biology Education, 2024
The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…
Descriptors: Biochemistry, Science Instruction, Artificial Intelligence, Teaching Methods
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Jaya Shukla; Ram Manohar Singh – Metacognition and Learning, 2024
Knowledge exploration refers to actively seeking information, ideas, and experiences, often beyond immediate task requirements. Previous research on exploratory behaviour has predominantly focused on visual and perceptual forms of exploration, overlooking the academic aspect, where the aim is to bridge knowledge gaps. To test the effect of task…
Descriptors: Feedback (Response), Self Esteem, Student Motivation, Student Behavior
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Rana Abu-Zhaya; Inbal Arnon – Language Learning, 2024
Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun…
Descriptors: Prediction, Grammar, Second Language Instruction, Second Language Learning
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Jie Zhang – International Journal of Information and Communication Technology Education, 2024
This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…
Descriptors: Oral Language, Translation, Computational Linguistics, Computer Software
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Ugur Sener; Salvatore Joseph Terregrossa – SAGE Open, 2024
The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational…
Descriptors: Motor Vehicles, Artificial Intelligence, Prediction, Regression (Statistics)
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Suna-Seyma Uçar; Itziar Aldabe; Nora Aranberri; Ana Arruarte – International Journal of Artificial Intelligence in Education, 2024
Current student-centred, multilingual, active teaching methodologies require that teachers have continuous access to texts that are adequate in terms of topic and language competence. However, the task of finding appropriate materials is arduous and time consuming for teachers. To build on automatic readability assessment research that could help…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Readability
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Luyu Zhu; Jia Hao; Jianhou Gan – Interactive Learning Environments, 2024
Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to the lack of timely intervention and guidance from educators, learners' performance is not as effective as it could be. To address this problem, predicting MOOC learners' performance and providing…
Descriptors: MOOCs, Academic Achievement, Prediction, Bayesian Statistics
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Megan Hammill; Victoria Rapos; Michael Cinelli – Journal of Motor Learning and Development, 2024
Children tend to make more last-minute locomotor adjustments than adults when avoiding stationary obstacles. The purpose of this study was to compare avoidance behaviors of middle-aged children (10-12 years old) with young adults during a head-on collision course with an approaching virtual pedestrian. Participants were immersed in a virtual…
Descriptors: Children, Young Adults, Motor Development, Decision Making
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Varude Boonprayong; Pinanta Chatwattana; Pallop Piriyasurawong – International Education Studies, 2024
The objective of the research is to explore the consistency of specialized nursing competency models of nursing students. The participants in this research are 165 Year 4 nursing students at Boromarajonani College of Nursing, Chakriraj, Thailand. The data was collected using a questionnaire consisting of 45 questions, answered with the use of a…
Descriptors: Factor Analysis, Competence, Nursing, Nursing Education
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Basil Wahn; Laura Schmitz – Cognitive Research: Principles and Implications, 2024
With the increased sophistication of technology, humans have the possibility to offload a variety of tasks to algorithms. Here, we investigated whether the extent to which people are willing to offload an attentionally demanding task to an algorithm is modulated by the availability of a bonus task and by the knowledge about the algorithm's…
Descriptors: College Students, Algorithms, Cognitive Processes, Technology Uses in Education
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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