Background: Many students use laptops in the classroom to take notes; however, even when laptops are used for the sole purpose of taking notes they can negatively impact academic performance. Objective: The current study examined state-dependent effects, and the potential for a match in note taking and quiz taking methods to improve quiz…

The implementation of computer-based simulations by teachers in the classroom can have a significant and varied impact on students' learning outcomes and engagement. In meta-analyses of the use of computer simulation in the classroom, several studies show a significant impact on students' learning and achievement outcomes. However, the…

This dissertation evaluated the efficacy and effectiveness of a first-year freshman seminar course designed to improve self-regulated learning skills and bolster academic success. First-year seminars (FYS) are designed to help at-risk students (as indexed by their admissions criteria) gain the learning and motivational skills they need to succeed…

Digital game-based learning strategy is now widely used in various fields such as education, marketing and advertising. This learning strategy has attracted great attention from scholars and practitioners in recent years due to its effectiveness in various educational fields. As more research studies favored the constructive impact of games on the…

This study aimed to examine the learning progression (LP) model of scientific imagination among undergraduate students using the Scientific Imagination Test-Verbal (SIT-Verbal) and investigated the influence of students' demographic characteristics including gender, age, and discipline on their scientific imagination. Six hundred and sixteen…

Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…

Individuals solve arithmetic problems in different ways and the strategies they choose are indicators of advanced competencies such as adaptivity and flexibility, and predict mathematical achievement. Understanding the factors that encourage or hinder the selection of different strategies is therefore important for helping individuals to succeed…

Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions of collaborative learning. A majority of SNA research has so far used static networks, i.e., aggregated networks that compile interactions without considering "when" certain activities or relationships occurred. Compressing a temporal…

Purpose: This study aims to innovate by investigating the effects of goal orientations on informal learning strategies and whether intrinsic motivation mediates the relation between those two constructs. Design/methodology/approach: To address these aims, the author relied on a quantitative study and on structural equation modeling to evaluate the…

Content and accuracy evaluation of textbooks is important as it provides quality assurance to both teachers and learners, especially in the new normal where modular instruction is used. This research aimed at evaluating the biology textbooks used by Senior High School STEM Science teachers (n=15) in content, presentation, and learning strategies.…

Over the past decade, there has been an urgent calling for the improvement of teaching and learning of mathematics. At that same time, research has provided promising findings in the value of self-regulation and choice on learning for student achievement. With the ever-increasing availability of resources for educators to support student learning,…

The purpose of this dissertation is three-fold: to further the understanding of grammar learning strategies (GLS) that students at an American university use when they engage in language study sessions on their own, in technology-enhanced language learning (TELL) outside of the classroom; to examine how previous language learning experience (PLLE)…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

Limited research examines writing tutors' self-efficacy, or how tutors believe "in their abilities to produce given attainments" (Bandura, 2006, p. 307). This qualitative constant comparative study explored self-efficacy's impact on tutoring strategies writing tutors use in recorded digital tutoring conferences with community college…

Statement of Purpose and Method of Study: Conley's college readiness model includes four key indicators: cognitive skills, content knowledge, academic behaviors, and transition knowledge and skills. The study determined how State Educational Agencies (SEAs) outside Mississippi with an average or above-average post-secondary retention rate measure…