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Ying Guo; Cynthia Puranik; Yanli Xie; Megan Schneider Dinnesen – Reading Research Quarterly, 2025
Examining the impact of reading instruction on writing can help to refine the theoretical models to better explain how skills in reading support skills in writing and inform the development of literacy curricula that leverage the synergies between reading and writing instruction. Therefore, the purposes of this study are to investigate if the…
Descriptors: Kindergarten, Reading Writing Relationship, Reading Instruction, Curriculum Development
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle McNamara – International Educational Data Mining Society, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Lei Ye; Ting Zhang; Qiong Zhang; Zefeng Mi – SAGE Open, 2025
Recent research has paid considerable attention to the role of university support in explaining student entrepreneurship, with several studies presenting empirical evidence of the moderating effects of individual traits on the relationship between university support and entrepreneurial intentions. However, the moderating effect of entrepreneurial…
Descriptors: College Role, Entrepreneurship, Intention, Individual Characteristics
Hye Sang Park; Ai Noi Lee – Educational Research and Development Journal, 2025
With rapid advancements in science and technology, educational systems worldwide emphasize the need for teachers to integrate creativity and innovation into their teaching to better equip students for the future. Thus, pre-service teachers' beliefs about creativity and their willingness to embrace creative teaching practices are essential for both…
Descriptors: Preservice Teachers, Teacher Education Programs, Creative Thinking, Self Efficacy
Özgür Korkmaz; Mehmet Nafiz Aydin – SAGE Open, 2025
This study investigates the factors contributing to early school dropout in vocational and technical high schools in Turkey, utilizing machine learning techniques to analyze a dataset of personal, socio-economic, familial, and academic variables. The data was collected via a detailed survey administered to students at one of the largest Vocational…
Descriptors: Foreign Countries, Career and Technical Education Schools, High Schools, Dropout Characteristics
Ariel Blobstein; Marc T. Facciotti; Michele Igo; David Karger; Prerna Ravi; Kamali Sripathi; Kobi Gal – International Journal of Artificial Intelligence in Education, 2025
Emoji are commonly used in social media to convey affects, emotions, and attitudes. While popular in social media, their use in educational contexts has been sparsely studied even though emoji can be a natural way for students to express what they are feeling about the learning material. This paper studies how students use instructor-selected…
Descriptors: Electronic Learning, Undergraduate Students, Biology, Science Education
Juliana Pacicco; Josh Rew – Oregon Department of Education, 2025
This study examines how student performance in English Language Arts (ELA) and Mathematics predicts later college enrollment. The results show a strong and consistent relationship over time: students who score at the highest performance level are more than twice as likely to enroll in college compared with students scoring at the lowest level.…
Descriptors: English Instruction, Language Arts, Mathematics Achievement, Academic Achievement
Rohani, Narjes; Gal, Kobi; Gallagher, Michael; Manataki, Areti – International Educational Data Mining Society, 2023
Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…
Descriptors: Prediction, Academic Achievement, Health Education, Data Science
Bowman, Nicholas A.; Wolniak, Gregory C.; Seifert, Tricia A.; Wise, Kathleen; Blaich, Charles – Research in Higher Education, 2023
Scholars and the public alike have questioned the benefits of obtaining an undergraduate education. Although research has extensively examined short-term outcomes associated with college experiences, relatively few studies have investigated non-economic outcomes beyond graduation. This paper explored the link between college experiences and…
Descriptors: Undergraduate Students, Student Experience, School Role, Prediction
Hedley, Darren; Batterham, Philip J.; Bury, Simon M.; Clapperton, Angela; Denney, Kathleen; Dissanayake, Cheryl; Fox, Phoenix; Frazier, Thomas W.; Gallagher, Emma; Hayward, Susan M.; Robinson, Jo; Sahin, Ensu; Trollor, Julian; Uljarevic, Mirko; Stokes, Mark A. – Autism: The International Journal of Research and Practice, 2023
The study describes the development and preliminary psychometric validation of the Suicidal Ideation Attributes Scale-Modified (SIDAS-M), a five-item assessment of suicidal ideation for use with autistic adults. Participants (n = 102 autistic adults; 58% women, 34% men, 8% nonbinary; M[subscript age] = 41.75, SD = 12.89) completed an online survey…
Descriptors: Suicide, Psychological Patterns, Test Construction, Test Validity
Bulut, Okan; Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Wongvorachan, Tarid; Daniels, Lia M.; Gao, Yizhu; Lai, Ka Wing; Shin, Jinnie – British Journal of Educational Technology, 2023
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…
Descriptors: Formative Evaluation, Learning Analytics, Models, Learning Management Systems
Yang, Tzu-Chi; Chang, Chung-Yuan – Education and Information Technologies, 2023
Enabling college graduates to achieve career success is increasingly considered a major responsibility of universities. Many studies have developed models of predicting students' career decisions and have sought to provide appropriate treatments or early support for students to achieve this goal. Most studies, however, have focused on using…
Descriptors: Data Use, Decision Making, Computer Mediated Communication, Social Media
Tarnanen, Mirja; Räikkönen, Eija; Martin, Anne; Kaukonen, Vili; Kostiainen, Emma; Toikka, Teppo; Vauhkonen, Ville – Scandinavian Journal of Educational Research, 2023
This article reports on a pilot study on the academic self-efficacy (ASE) of 245 Finnish pupils when studying according to a subject-specific curriculum for one week and an integrated curriculum the following week. The data consisted of selected items from the Class Maps Survey and self-reported grades of L1 and mathematics and were analysed using…
Descriptors: Self Efficacy, Foreign Countries, Integrated Curriculum, Academic Education
Kurysheva, Anastasia; van Rijen, Harold V. M.; Stolte, Cecily; Dilaver, Gönül – International Journal of STEM Education, 2023
This review presents the first comprehensive synthesis of available research on selection methods for STEM graduate study admissions. Ten categories of graduate selection methods emerged. Each category was critically appraised against the following evaluative quality principles: predictive validity and reliability, acceptability, procedural…
Descriptors: STEM Education, Graduate Study, Admission Criteria, College Admission

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