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Ryu, Wonsun; Schudde, Lauren; Pack, Kim – AERA Open, 2022
States and broad-access colleges are rapidly scaling corequisite coursework--a model where students concurrently enroll in college-level and developmental coursework--in response to dismal completion rates in traditional "developmental" sequences. At community colleges, evidence suggests that corequisite reforms can dramatically improve…
Descriptors: Required Courses, Community Colleges, Mathematics Education, Community College Students
Yamamoto, Scott H.; Alverson, Charlotte Y. – Autism & Developmental Language Impairments, 2022
Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, High School Graduates, Outcomes of Education
Cogliano, MeganClaire; Bernacki, Matthew L.; Hilpert, Jonathan C.; Strong, Christy L. – Journal of Educational Psychology, 2022
We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…
Descriptors: Learning Analytics, College Science, Undergraduate Students, Biology
Gerard, Juliana – Language Acquisition: A Journal of Developmental Linguistics, 2022
Previous research on 4-6-year-olds' interpretations of adjunct control has observed non-adult-like behavior for sentences like "John called Mary before running to the store." Several studies have aimed to identify a grammatical source of children's errors. This study tests the predictions of grammatical and extragrammatical accounts by…
Descriptors: Child Behavior, Grammar, Language Acquisition, Task Analysis
Looi, Kim Hoe – Tertiary Education and Management, 2022
E-learning was abruptly adopted as a strategic response to the sudden closure of institutions of learning induced by the COVID-19 pandemic. In contrast to the conventional voluntary adoption of e-learning, this study aims to explore a new trail by drawing challenges of e-learning eclectically from recent literature to develop an alternative…
Descriptors: Undergraduate Students, Learning Processes, Blended Learning, Preferences
Masihay-Akbar, Hasti; Amiri, Parisa; Rezaei, Marjan; Jalali-Farahani, Sara; Cheraghi, Leila; Momenan, Amir Abbas; Azizi, Fereidoun – Journal of School Health, 2022
Background: This study assesses the long-term effectiveness of a lifestyle intervention on cigarette, passive, and hookah smoking in adolescent boys and girls. Methods: One thousand one hundred and fifty-nine adolescent participants of Tehran Lipid and Glucose Study (TLGS) (2001-2004) were followed for 12 years. Participants in the intervention…
Descriptors: Life Style, Intervention, Gender Differences, Health Behavior
Stadlman, Margaret; Salili, Seyyed M.; Borgaonkar, Ashish D.; Miri, Amir K. – Journal of STEM Education: Innovations and Research, 2022
Lack of student persistence and retention is significantly hurting the US in producing the required number of qualified graduates, especially in STEM fields. Although many factors contribute to students falling off track, one of the controllable factors is the identification of at-risk students followed by early intervention. Predicting the…
Descriptors: Artificial Intelligence, Synchronous Communication, Educational Technology, Electronic Learning
Hu, Xiaozhong; Cheng, Sanyin; Hu, Hongxia – Journal of Beliefs & Values, 2022
This study explores the relationships among religious involvement, religious coping, and quality of university life among university students in mainland China. The religious involvement scale, the brief RCOPE, and the quality of university life measure were administered to 1623 university students from 135 universities. Results showed that…
Descriptors: Correlation, Coping, Religious Factors, Quality of Life
Sverdlik, Anna; Rahimi, Sonia; Vallerand, Robert J. – Journal of Adult and Continuing Education, 2022
University students' passion for their studies has been previously demonstrated to be important for both their academic performance and their personal well-being. However, no studies to date have explored the role of passion for one's studies on both academic and personal outcomes in a single model. The present research sought to determine the…
Descriptors: Metacognition, Emotional Response, Learning Motivation, Academic Achievement
Dang, Thi Ngoc Yen; Webb, Stuart; Coxhead, Averil – Foreign Language Annals, 2022
Recently researchers have proposed using information from teachers and learners to supplement the information from corpora in the selection of the most useful words for foreign language learners. Yet the extent to which these data sets correlate to one another is unclear. This study explicitly investigated the relationships between (a) the lexical…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses
Noyes, Keenan Chun Hong Lee – ProQuest LLC, 2022
One of the goals of science education is to help students make sense of the world around them. To that end, it is critical that students understand the central ideas in each discipline like, in chemistry, energy and interactions. These ideas are of particular importance because they are directly related to one another and are relevant across other…
Descriptors: Energy, Science Instruction, Prediction, Chemistry
Nathan T. T. Lau; Eric D. Wilkey; Mojtaba Soltanlou; Rebekka Lagacé Cusiac; Lien Peters; Paul Tremblay; Celia Goffin; Isabella Starling Alves; Andrew David Ribner; Clarissa Thompson; Jo Van Hoof; Julia Bahnmueller; Aymee Alvarez; Elien Bellon; Ilse Coolen; Fanny Ollivier; Daniel Ansari – Grantee Submission, 2022
During the COVID-19 pandemic, people across the globe have been exposed to large amounts of statistical data. Previous studies have shown that individuals' mathematical understanding of health-related information affects their attitudes and behaviours. Here, we investigate the relation between: (1) basic numeracy; (2) COVID-19 health numeracy; and…
Descriptors: Numeracy, COVID-19, Pandemics, Health Behavior
Wu, Shu-Jing; Chang, Dian-Fu; Hu, Hui – Higher Education Policy, 2021
Various perspectives on higher education have been addressed to support the arguments of expansion issues, while studies on prediction to tackle the phenomenon are very limited. In this study, we focus on series data for tackling the problem of over-expansion in higher education and explore how the decrease in birth rate and potential enrollment…
Descriptors: Correlation, Enrollment Trends, Declining Enrollment, Higher Education

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