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Mustafa Kocaarslan; Ahmet Yamaç – Journal of Computing in Higher Education, 2024
This research explores preservice classroom teachers' perceived importance, self-efficacy beliefs, participation frequencies and conceptions related to new literacies. The research is framed using a dual-level theory of new literacies. The participants of the study consisted of 364 preservice teachers studying in the department of primary…
Descriptors: Student Attitudes, Preservice Teachers, Teacher Education Programs, Multiple Literacies
Blake H. Heller – Annenberg Institute for School Reform at Brown University, 2024
In 2016, the GED® introduced college readiness benchmarks designed to identify testers who are academically prepared for credit-bearing college coursework. The benchmarks are promoted as awarding college credits or exempting "college-ready" GED® graduates from remedial coursework. I show descriptive evidence that those identified as…
Descriptors: High School Equivalency Programs, College Readiness, Eligibility, Benchmarking
Sashi Ranjan; V. P. Joshith; K. Kavitha; Shana Chittakath – Knowledge Management & E-Learning, 2024
Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Knowledge Management, Sustainability
Or Goren; Liron Cohen; Amir Rubinstein – International Educational Data Mining Society, 2024
The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…
Descriptors: Dropout Characteristics, Prediction, Potential Dropouts, Student Characteristics
Liu, Ziyi – Journal of Education and Learning, 2019
When memorizing mechanical materials such as words or numbers, people have shown the tendency to overestimate their future memory due to their insensitivity to memory loss. The experiments in this paper investigate whether the same bias applies to conceptual learning and, if so, how the magnitude of this bias compares to that of mechanical…
Descriptors: Memorization, Metacognition, Memory, Prediction
Khan, Ijaz; Ahmad, Abdul Rahim; Jabeur, Nafaa; Mahdi, Mohammed Najah – Smart Learning Environments, 2021
A major problem an instructor experiences is the systematic monitoring of students' academic progress in a course. The moment the students, with unsatisfactory academic progress, are identified the instructor can take measures to offer additional support to the struggling students. The fact is that the modern-day educational institutes tend to…
Descriptors: Artificial Intelligence, Academic Achievement, Progress Monitoring, Data Collection
Walck-Shannon, Elise M.; Rowell, Shaina F.; Frey, Regina F. – CBE - Life Sciences Education, 2021
Students' study sessions outside class are important learning opportunities in college courses. However, we often depend on students to study effectively without explicit instruction. In this study, we described students' self-reported study habits and related those habits to their performance on exams. Notably, in these analyses, we controlled…
Descriptors: Study Habits, Academic Achievement, College Students, Learning Strategies
Hawkins, Robert D.; Gweon, Hyowon; Goodman, Noah D. – Cognitive Science, 2021
Recent debates over adults' theory of mind use have been fueled by surprising failures of perspective-taking in communication, suggesting that perspective-taking may be relatively effortful. Yet adults routinely engage in effortful processes when needed. How, then, should speakers and listeners allocate their resources to achieve successful…
Descriptors: Adults, Theory of Mind, Perspective Taking, Pragmatics
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Journal of Educational and Behavioral Statistics, 2021
In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
Wu, Yang; Gweon, Hyowon – Child Development, 2021
Emotional expressions are abundant in children's lives. What role do they play in children's causal inference and exploration? This study investigates whether preschool-aged children use others' emotional expressions to infer the presence of unknown causal functions and guide their exploration accordingly. Children (age: 3.0-4.9; N = 112, the…
Descriptors: Preschool Children, Social Cognition, Emotional Response, Prior Learning
Ertürk, Ramazan – International Journal of Contemporary Educational Research, 2021
This research aimed to determine the relationships between school administrators' supportive behaviors and teachers' job satisfaction and subjective well-being via a correlational survey model, a quantitative research method. The study group of this research was composed of 400 teachers working employed at primary schools in the city center of…
Descriptors: Teacher Administrator Relationship, Job Satisfaction, Well Being, Principals
Farheen, Ayesha; Lewis, Scott E. – Chemistry Education Research and Practice, 2021
Representations are ubiquitous in chemistry. They are part of the chemistry language instructors use to communicate chemistry phenomenon to students. Literature calls in support of learning with multiple representations, but there is a pre-requisite for students to learn from a single representation. In this exploratory study, 1086 students in…
Descriptors: Science Instruction, Chemistry, Scientific Concepts, Concept Formation
Van Duser, Kyle Eric; Tanabe, Clifton S. – Journal of College Student Retention: Research, Theory & Practice, 2021
This study employed propensity score matching and regression analysis to determine whether or not a retention scholarship pilot program at a mid-size public research university was effective at increasing first-year retention. The scholarship pilot did not require any application process for students but rather used a predictive logistic…
Descriptors: Prediction, Data Analysis, Student Financial Aid, School Holding Power
Auhl, Greg; Bain, Alan – Australian Journal of Teacher Education, 2021
In this study, we examined whether the Australian Tertiary Admissions Rank (ATAR) predicted pre-service teachers' schema development for inclusive classroom teaching. Where previous studies have employed grade point average (GPA) as a criterion measure, this study employed a validated measure linked to standards-based classroom practice. The study…
Descriptors: Prediction, Preservice Teachers, Inclusion, Classroom Techniques
Lyall, Kristen; Hosseini, Mina; Ladd-Acosta, Christine; Ning, Xuejuan; Catellier, Diane; Constantino, John N.; Croen, Lisa A.; Kaat, Aaron J.; Botteron, Kelly; Bush, Nicole R.; Dager, Stephen R.; Duarte, Cristiane S.; Fallin, M. Daniele; Hazlett, Heather; Hertz-Picciotto, Irva; Joseph, Robert M.; Karagas, Margaret R.; Korrick, Susan; Landa, Rebecca; Messinger, Daniel; Oken, Emily; Ozonoff, Sally; Piven, Joseph; Pandey, Juhi; Sathyanarayana, Sheela; Schultz, Robert T.; St. John, Tanya; Schmidt, Rebecca; Volk, Heather; Newschaffer, Craig J. – Journal of Autism and Developmental Disorders, 2021
Prior work proposed a shortened version of the Social Responsiveness Scale (SRS), a commonly used quantitative measure of social communication traits. We used data from 3031 participants (including 190 ASD cases) from the Environmental Influences on Child Health Outcomes (ECHO) Program to compare distributional properties and criterion validity of…
Descriptors: Pervasive Developmental Disorders, Autism, Measures (Individuals), Test Validity

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