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Maria Theobald – British Journal of Educational Psychology, 2025
Background and Aims: The hypothesis that study strategies can compensate for less study time in predicting learning outcomes has often been proposed but rarely tested empirically. Methods: In the present study, 231 university students reported their daily perceived time spent on self-study, study strategies (planning, monitoring, concentration and…
Descriptors: Study Skills, Study Habits, Learning Strategies, Time on Task
Ryan Corser; Raymond P. Voss Jr.; John D. Jasper – Journal of Numerical Cognition, 2024
Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated…
Descriptors: Undergraduate Students, Numeracy, Mathematical Concepts, Decision Making
Xiaohong Wen – Journal of Multilingual and Multicultural Development, 2024
This study investigated motivation in the context of L2 Chinese in the USA. A total of 120 college students took the survey and 27 of them participated in post-survey interviews. Through a mixed-methods design, the study captured interactions between motivation and the learning environment in the learning process. The results revealed six…
Descriptors: College Students, Second Language Learning, Mandarin Chinese, Student Motivation
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Leppink, Jimmie; Pérez-Fuster, Patricia – Educational Psychology Review, 2019
Self-rated mental effort has been and continues to be the most widely used measure of cognitive load. This single-item measure is often used as a predictor variable in linear models for predicting performance or some other response variable. While an advantage of linear models is that they are fairly easy to understand, they fall short when the…
Descriptors: Cognitive Processes, Difficulty Level, Predictor Variables, Time on Task
Sharma, Amit; Van Hoof, Hubert B.; Ramsay, Crystal – Active Learning in Higher Education, 2019
The study reported here investigated reading among students from the perspective of how students choose to use their time and whether they self-ration it. A survey of undergraduate students found that their self-reported allocation of time to academic activities other than reading was positively correlated to the reading that they did and that…
Descriptors: Undergraduate Students, Time Factors (Learning), Decision Making, Reading Habits
Natasha Murray; Xin Ma; Kenneth Tyler – Educational Studies, 2024
We aimed to identify individual (family) and school protective factors that are critical to academic success among African American students, using Bronfenbrenner's ecological systems theory. A total of 2020 African American students in 463 schools from the Educational Longitudinal Study provided data. We developed a multilevel logistic model…
Descriptors: High School Students, African American Students, Academic Achievement, Predictor Variables
Xinjian Cen; Rachel J. Lee; Christopher Contreras; Melinda T. Owens; Jeffrey Maloy – Journal of Microbiology & Biology Education, 2024
Active learning, including student thinking and discussion in class, has been shown to increase student learning gains. However, it is less clear how instructor-level variation in the implementation and timing of active learning activities affects student gains. Our study aims to investigate the extent to which the time spent on individual…
Descriptors: Time on Task, Active Learning, Learning Activities, Academic Achievement
Christina Elizabeth Pigg – ProQuest LLC, 2024
The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…
Descriptors: Test Preparation, Preservice Teachers, Teacher Certification, Licensing Examinations (Professions)
Vogler, Kenneth E.; Schramm, Susan; Allan, Audrey; Parler, Jake D. – Journal of Educational Research and Practice, 2020
This study investigated the relationship among the variables instructional time configuration, gender, race/ethnicity, and poverty to predict the academic performance of seventh-grade students on a state-mandated social studies accountability test. Results of 24,919 seventh-grade student social studies test scores from 117 middle schools, as well…
Descriptors: Time Factors (Learning), Time on Task, Race, Ethnicity
Hazrat, Mandana; Read, John – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2022
The Involvement Load Hypothesis (ILH) is a framework for designing vocabulary-learning tasks which was proposed by Batia Laufer and Jan Hulstijn in 2001. It assumes that task effectiveness depends on three components induced by a task: a motivational component (need) and two cognitive components (search and evaluation). The hypothesis has been…
Descriptors: Linguistic Theory, Vocabulary Development, Language Research, Evidence
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Bozoglan, Bahadir; Kumar, Suresh – Journal of Autism and Developmental Disorders, 2022
The current study examined the association between hours spent online (HOS), positive parenting, negative parenting, autism parental stress and Internet addiction among Singapore based boys and girls (aged 6 to 14 years old) with Autism Spectrum Disorder (ASD). The research participants included 59 parents (41 females and 18 males) aged between 28…
Descriptors: Foreign Countries, Children, Adolescents, Autism Spectrum Disorders
Chettaoui, Neila; Atia, Ayman; Bouhlel, Med Salim – Education and Information Technologies, 2023
Recent advances in sensor technology, including eye-gaze tracking, have introduced the opportunity to incorporate gaze into student modelling within an embodied learning context. The produced multimodal data is used to uncover cognitive, behavioural, and affective processes during the embodied learning activity. However, the use of eye-tracking…
Descriptors: Elementary School Students, Eye Movements, Academic Achievement, Human Body