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Motivated Strategies for…9
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Aldo Ramirez-Arellano – SAGE Open, 2024
Several investigations have focused on the relationship between personality and learning performance. However, the relationships among personality traits, motivation, emotional and behavioral engagement, and metacognitive-cognitive strategies remain unexplored. This research introduces a model based on a personality system set comprising…
Descriptors: Personality Traits, Student Motivation, Learner Engagement, Metacognition
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Langanani Rakhunwana; Angelique Kritzinger; Lynne A. Pilcher – Chemistry Education Research and Practice, 2025
During their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence of the COVID-19 pandemic heightened the challenges as universities were compelled to transition to online learning. Therefore, this study investigated…
Descriptors: Chemistry, Science Instruction, Online Courses, College Freshmen
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Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement
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Hassell, Martin D.; Sukalich, Mary F. – Information Research: An International Electronic Journal, 2016
Introduction: The use of social media is prevalent among college students, and it is important to understand how social media use may impact students' attitudes and behaviour. Prior studies have shown negative outcomes of social media use, but researchers have not fully discovered or fully understand the processes and implications of these…
Descriptors: Social Media, Correlation, Outcomes of Education, Structural Equation Models
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Sun, Jerry Chih-Yuan; Oh, Youn Joo; Seli, Helena; Jung, Matthew – Journal of At-Risk Issues, 2017
The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…
Descriptors: At Risk Students, Outcomes of Education, College Freshmen, Prediction
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Lloret, Miguel; Aguila, Estela; Lloret, Alejandro – International Electronic Journal of Elementary Education, 2009
The purpose of this study was to study the effect of a multimedia computing program on the production of activities and self-regulated learning processes in 18 students of the Dentistry postdegree (Celaya, Mexico). A multi-method design (quasi-experimental, pretest-post-test and qualitative: Think aloud protocol) was used. Self-regulated…
Descriptors: Foreign Countries, Dentistry, Graduate Students, Independent Study
Edens, Kellah M. – Journal of Research on Technology in Education, 2008
This research compares a behaviorally based approach for using electronic student response system (SRS) technology with a metacognitive-oriented approach to determine effects on attendance, preparation for class, and achievement. Also examined are the interaction effects of pedagogical approach with self-regulatory and motivational characteristics…
Descriptors: Student Reaction, Operant Conditioning, Goal Orientation, Student Motivation