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Carey Bernini Dowling; C. Veronica Smith; Yue Yin; Jeffrey M. Williams – Journal of the Scholarship of Teaching and Learning, 2025
People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…
Descriptors: Grade Point Average, Undergraduate Students, Study Habits, Intelligence
Feifei Han – OTESSA Conference Proceedings, 2021
This study investigates to what extent there is an association between students' self-reported perceptions of online learning and observed online learning behaviors recorded by the learning analytic data. The participants were 319 undergraduates studying an engineering course in an Australian university. Data analyses were conducted using cluster…
Descriptors: Online Courses, Behavior Patterns, Correlation, Learning Processes
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Gitinabard, Niki; Barnes, Tiffany; Heckman, Sarah; Lynch, Collin F. – International Educational Data Mining Society, 2019
Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can distinguish between the higher performing students and low-performers. These habits are also often used to predict…
Descriptors: Blended Learning, Student Adjustment, Online Courses, Study Habits
Lindblom-Ylänne, Sari; Saariaho, Emmi; Inkinen, Mikko; Haarala-Muhonen, Anne; Hailikari, Telle – Frontline Learning Research, 2015
The study explored university undergraduates' dilatory behaviour, more precisely, procrastination and strategic delaying. Using qualitative interview data, we applied a theory-driven and person-oriented approach to test the theoretical model of Klingsieck (2013). The sample consisted of 28 Bachelor students whose study pace had been slow during…
Descriptors: Time Management, Undergraduate Students, Interviews, Student Behavior
Gordon, Wayne I. – 1994
Study strategies are the activities that an individual uses to facilitate learning. Although no consistent findings exist to show the factors that comprise the study-strategy concept, a three-factor conceptualization (cognitive, affective, and behavioral) is often suggested. These factors were studied with 128 undergraduates of high and low…
Descriptors: Ability, Affective Behavior, Behavior Patterns, Cognitive Processes
Nist, Sherrie L.; And Others – 1995
The factors that influence the performance of undergraduate students in introductory biology courses were studied, considering cognitive, metacognitive, and behavioral factors. From 612 participants volunteering, 52 consistent high performers and 57 consistent low performers were selected. Information was collected on their study habits,…
Descriptors: Academic Achievement, Aptitude, Attendance, Behavior Patterns

Bliss, Leonard B.; And Others – 1996
The Inventario de Comportamiento de Estudio (ICE), a Spanish translation of the Study Behavior Inventory (SBI) was developed and tested using a group of 594 undergraduate students from randomly selected classes at a private comprehensive university in Mexico. Both instruments were designed to assess the study behaviors of students in institutions…
Descriptors: Behavior Patterns, Bilingual Education, Factor Analysis, Factor Structure