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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
Désiron, Juliette C.; Petko, Dominik – Education and Information Technologies, 2023
The growth in digital technologies in recent decades has offered many opportunities to support students' learning and homework completion. However, it has also contributed to expanding the field of possibilities concerning homework avoidance. Although studies have investigated the factors of academic dishonesty, the focus has often been on college…
Descriptors: Ethics, Cheating, Homework, Influence of Technology
Yusha Lv; Xiaoli Wang; Xuemei Zhang; Juan Li – PRIMUS, 2024
This paper first analyzed the shortcomings of the summative final exam methods which focuses only on final exams. Then, we showed the specific implementation of the quantitative formative assessment which includes objective results and subjective scores. Objective results include the traditional written chapter test score, online mid-term and…
Descriptors: Mathematics Tests, Formative Evaluation, Scores, Student Evaluation
Carolyn Clarke – in education, 2024
This ethnographic case study, situated in Newfoundland and Labrador, Canada, examined the effects of full-scale provincial testing on families, its influences on homework, and familial accountability for teaching and learning. Data were drawn from family interviews, as well as letters and documents regarding homework. Teachers sensed a significant…
Descriptors: Academic Standards, Accountability, Testing, Homework
Alyssa R. Gonzalez-DeHass; Joseph M. Furner; María D. Vásquez-Colina; John D. Morris – International Journal of Science and Mathematics Education, 2024
The undergraduate college years are a critical time when students are beginning to think seriously about their career interests, and it is critical that students have a positive outlook for their mathematical learning if they are going to pursue math-related STEM majors. The current research with 748 undergraduate math students found that the more…
Descriptors: Undergraduate Students, Mathematics Anxiety, Intelligence, Student Attitudes
Nicholas Gorgievski; Thomas DeFranco – Investigations in Mathematics Learning, 2024
In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Scores
González, José Antonio; Giuliano, Mónica; Pérez, Silvia N. – Education and Information Technologies, 2022
Research on impact in student achievement of online homework systems compared to traditional methods is ambivalent. Methodological issues in the study design, besides of technological diversity, can account for this uncertainty. Hypothesis: This study aims to estimate the effect size of homework practice with exercises automatically provided by…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Problem Solving
Tak, Sangdong; Catsambis, Sophia – Education and Information Technologies, 2023
Using national longitudinal data of students during their 9th and 11th grades, we address popular concerns over screen time activities distracting students' academic pursuits. We examine gender differences in the types of screen time use, expecting the skill-based activity of video gaming to be more common among boys and the socially oriented…
Descriptors: Grade 9, Grade 11, High School Students, Gender Differences
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Elesha Goodfriend – ProQuest LLC, 2024
The primary purpose of this study was to compare academic variables from students participating in mixed teaching methods/course revitalization biology courses to those in traditional courses at two community colleges in Tennessee. A two-group comparison design using archived data was used, which evaluated differences in final grades, exam scores,…
Descriptors: Science Instruction, Biology, Teaching Methods, Comparative Analysis
John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
Yildirim, Ibrahim; Çirak-Kurt, Sevilay – International Journal of Contemporary Educational Research, 2022
The emergent COVID-19 pandemic in Wuhan, China, at the end of 2019 has affected the whole world in a short time. Therefore, schools have been closed worldwide, and online learning opportunities have been exploited. Although lessons are taught online, problems have been experienced about measuring and evaluating lessons. This quasi-experimental…
Descriptors: Scores, Evaluation Methods, Computer Assisted Testing, Academic Achievement
Yuan, Zhenguo; Tan, Jiang; Ye, Renmin – Asia-Pacific Education Researcher, 2023
Using an international education database, PISA 2012, this study compares 15-year-old students' mathematics anxiety and its relationships with educational issues among five Asia Pacific economies (Indonesia, Korea, Malaysia, Shanghai, & Singapore), using descriptive, figural, partial correlative, multiple regressive, and factor analysis…
Descriptors: Mathematics Anxiety, Foreign Countries, International Assessment, Achievement Tests
Asem, Elikplimi K.; Rajwa, Bartek – Advances in Physiology Education, 2023
This study assessed the impact of an "active learning" strategy employed alone or in combination with traditional lectures on the learning of mammalian physiology by undergraduate students. The study investigated the impact of three teaching strategies, namely (1) traditional lecture, (2) group discussion alone, and (3) combination of…
Descriptors: Lecture Method, Teaching Methods, Group Discussion, Physiology
Pllana, Duli – World Journal of Education, 2022
Highschool homework as an integral part of the study skills benefits students' learning outcomes significantly. Consistency of completing homework contributes to rising scores in any given assignment such as quizzes, regular tests, standardized tests, etc. The purpose of homework aims at different targets and it is designed for specific groups and…
Descriptors: Homework, Learning Processes, High School Students, Study Skills
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