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Duygu F. Safak; Holger Hopp – Studies in Second Language Acquisition, 2023
This study investigates whether cross-linguistic differences affect how adult second language (L2) learners use different types of verb subcategorization information for prediction in real-time sentence comprehension. Using visual world eye-tracking, we tested if first language (L1) German and L1 Turkish intermediate-to-advanced learners of L2…
Descriptors: Linguistics, Adults, Second Language Learning, Verbs
Robin Clausen – Grantee Submission, 2023
Research over the monitoring of at-risk youth. Behavioral interventions have been the primary focus of this literature past two decades has focused on one aspect of dropout prevention: early identification an however, there is renewed emphasis placed on attendance and academic risk factors under ESSA. Recognizing a need to promote early…
Descriptors: Identification, Dropouts, At Risk Students, Prediction
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Melissa Bond; Hassan Khosravi; Maarten De Laat; Nina Bergdahl; Violeta Negrea; Emily Oxley; Phuong Pham; Sin Wang Chong; George Siemens – International Journal of Educational Technology in Higher Education, 2024
Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a…
Descriptors: Meta Analysis, Artificial Intelligence, Databases, Higher Education
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Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
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Lathifaturrahmah Lathifaturahmah; Toto Nusantara; Subanji Subanji; Makbul Muksar – Mathematics Teaching Research Journal, 2024
The capacity to generate prediction is indispensable in daily existence, particularly amidst the swift transformations that are occurring on a global scale. Therefore, this study aimed to analyze the levels of prediction ability among mathematics students when presented with data in graphs. A qualitative approach was adopted, involving 37…
Descriptors: Mathematics Instruction, Mathematics Skills, Prediction, COVID-19
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Gerardo Ibarra-Vazquez; Maria Soledad Ramirez-Montoya; Mariana Buenestado-Fernandez – IEEE Transactions on Learning Technologies, 2024
This article aims to study the performance of machine learning models in forecasting gender based on the students' open education competency perception. Data were collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. The analysis comprises 1) a study of the students' perceptions of knowledge, skills, and…
Descriptors: Gender Differences, Open Education, Cross Cultural Studies, Student Attitudes
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Jan Delcker; Joana Heil; Dirk Ifenthaler; Sabine Seufert; Lukas Spirgi – International Journal of Educational Technology in Higher Education, 2024
The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have…
Descriptors: Artificial Intelligence, Learning Processes, Higher Education, College Freshmen
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Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
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Xiaoli Shu; Xiaobing Shu; Weihua Ouyang – Journal of Career Development, 2024
Based on career construction theory, this study explored the relationship and mediating mechanisms between career adaptability and secondary school students' academic engagement. Four hundred and eight secondary school students from three Chinese secondary schools were surveyed using a three-wave time-lag design. The study found that career…
Descriptors: Career Choice, Secondary School Students, Learner Engagement, Academic Achievement
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Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
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María de Jesús Elías; Chelsea Derlan Williams; Fantasy T. Lozada; Rosalie Corona; Terri N. Sullivan; Daisy Camacho-Thompson; Diamond Y. Bravo – Journal of Latinos and Education, 2024
The current study focused on processes underlying Cuban students' academic performance. Using path analyses, the model examined the relations between family relationships and academic performance mediated by belongingness and moderated by sex differences among Cuban medical students (N = 613; M age = 21.39, SD = 2.05). Findings indicated that…
Descriptors: Family Relationship, Academic Achievement, Gender Differences, Medical Students
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Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
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Dalia Khairy; Nouf Alharbi; Mohamed A. Amasha; Marwa F. Areed; Salem Alkhalaf; Rania A. Abougalala – Education and Information Technologies, 2024
Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students' academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and…
Descriptors: Prediction, Tests, Scores, Information Retrieval
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Gabrielle Oslington; Joanne Mulligan; Penny Van Bergen – Mathematics Education Research Journal, 2024
In this exploratory descriptive study, changes in one cohort's responses to an authentic statistical investigation at the commencement of years 3 and 4 were analysed. Forty-four students made predictions by interpreting a data table of historical monthly temperatures, represented these data and explained their reasoning. An Awareness of…
Descriptors: Mathematics Instruction, Mathematical Logic, Tables (Data), Prediction
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Charles Anim; David Baidoo-Anu; Kenneth Gyamerah; Williams Agyemang-Duah – Preventing School Failure, 2024
This study sought to examine the relationship between family characteristics and Junior High School students' absenteeism in selected schools in the Asante Akyem Central Municipality of Ghana. A total of 408 students were included in this study. This study accentuates the instrumental role that family ties, parents' economic status, mothers'…
Descriptors: Family Characteristics, Prediction, Attendance, Junior High School Students
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