With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

The objective of this study is to construct a model which explains and predicts the relations of university students' cyberloafing behaviors with demographic and academic variables at computing courses where online social networking sites are utilized for education and is to review whether there is longitudinal effect on these relations in terms…

The purpose of this study was to investigate whether achievement motivations influence the adoption of learning strategies and learning strategies influence studying behavior in an online learning environment. The Goal Orientation Questionnaire was used to measure achievement motives, and the Motivated Strategies for Learning Questionnaire was…

The purpose of this study was to investigate relationships between strategies students use to overcome challenges in both video games and homework assignments, and whether or not these are predictors of academic performance in school. Data were collected through an online survey of students, primarily in middle and high school, assessing both…

This study tested the degree to which subscales of the "LASSI for Learning Online" (LLO) (Weinstein & Palmer, 2006), a measure of learning strategies and study skills, predict student success in the form of passing grades, using a combination of large training (N = 4,409) and cross-validation (N = 3,203) samples. Discriminant function analysis…

The purpose of this study was to: (a) investigate the effects of email to enhance learners' use of self-regulation strategies; (b) examine different effects between email list and individually addressed notes on the enhancement of self-regulation; (c) observe and record changes in self-regulation and self-efficacy; and (d) explore the…

The purpose of this study was to investigate possible factors that may affect academic achievement when instruction is delivered via podcast. Seventeen female Communication Sciences and Disorders students participated in this exploratory study conducted in the fall of 2006. Measurements of participants' individual differences on four variables…

Describes study of 60 high school students that examined the relationship between mathematics performance, students' attitudes toward computers and calculators, and whether the relationship is similar for males and females. Results indicate that both male and female students with more positive attitudes toward computers and calculators perform…

Describes study that was designed to compare student achievement scores from three different testing methods: paper-administered testing, computer-administered testing, and computerized adaptive testing. The California Assessment Program (CAP) item banks for grades three and six which this study incorporated are described, and results are…

Discussion of achievement motivation and children's ideas about themselves as learners focuses on a study of third graders that examined the effects of LOGO programing on performance. Incremental and entity theories of intelligence are explained, and treatment of the experimental group and the control group are described. (26 references) (LRW)

Studies patterns of computer use based on data from the National Science Foundation's Longitudinal Study of American Youth in which 7th- and 10th-grade students were surveyed for five consecutive years. Highlights include parental backgrounds; socioeconomic status; parental attitudes; student attitudes; gender differences; computer ownership; and…