Preparing for exams in introductory biology classrooms is a complex metacognitive task. Focusing on lower achieving students (those with entering ACT scores below the median at our institution), we compared the effect of two different assignments distributed ahead of exams by dividing classes in half to receive either terms to define or open-ended…

This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…

This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

Educational psychologists have found that metacognitive calibration predicts learning outcomes in self-regulated learning. In this research the authors apply theories of metacognition from educational psychology and postulate that metacognitive calibration influences learning time and performance in online learning. Data gathered from 230 college…

Various reasons are attributed to poor student performance in physical science courses such as lack of motivation, lack of ability, and/or the overall difficulty of these courses. One overlooked reason is a lack of self-awareness as to preparation level. Through a study over a two-year period, students at all levels (freshman through M.S.) of a…

The goal of this study was to explore the relationship between students' perceptions of the link between personal effort and academic performance to promote effective pedagogy, contributing to the potential for increased retention/progression/graduation rates. Based on Treisman's (2013) assertion that students do not connect hard work with…

A peer-review system that automatically evaluates and provides formative feedback on free-text feedback comments of students was iteratively designed and evaluated in college and high-school classrooms. Classroom assignments required students to write paper drafts and submit them to a peer-review system. When student peers later submitted feedback…

This study aimed to investigate the effect of academic procrastination on e-learning course achievement. Because all of the interactions among students, instructors, and contents in an e-learning environment were automatically recorded in a learning management system (LMS), procrastination such as the delays in weekly scheduled learning and late…

After completing the Multidimensional Work-Ethic Profile (MWEP), 98 college students were given a 20-problem math computation assignment and instructed to stop working on the assignment after completing 10 problems. Next, they were allowed to choose to finish either the partially completed assignment that had 10 problems remaining or a new…

This study explored relationships between writing sample features and LMS usage patterns for 366 college students who enrolled in Theology courses, junior-level courses cross-listed with theology courses, or Senior Perspective Program courses in the fall semester of 2012. These hybrid courses were managed inside the Canvas(TM) learning management…

This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…

The effects of progress feedback on university students' writing mastery goal, self-efficacy beliefs, and writing performance were examined in this experiment. Students in the experimental condition (n = 42) received progress feedback on their writing assignment, whereas students in the control condition (n = 44) received feedback without progress…

Students in a general education science course made significant gains in scientific reasoning skills when they were taught using carefully designed hands-on activities and writing assignments. The activities required students to make use of scientific skills such as graphing, predicting outcomes under changing conditions, or designing experiments,…