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Using Analytics to Predict Students' Interactions with Learning Management Systems in Online Courses
Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
Maike Trautner; Carola Grunschel; Malte Schwinger – Educational Psychology Review, 2025
Learners' attempts to regulate their own motivation for studying in the face of tedious or difficult tasks is an important aspect of self-regulated learning. Therefore, motivation regulation has received increasing attention over the past few years, resulting in numerous publications using different definitions of the construct, samples,…
Descriptors: Self Control, Learning Motivation, College Students, Student Attitudes
Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
Xiaoli Huang; Wei Xu; Ruijia Liu – International Journal of Distance Education Technologies, 2025
This article presents a meta-analysis of the existing literature using Stata 18.0, focusing on the effects of ITSs on learning attitudes, knowledge acquisition, learner motivation, performance, problem-solving skills, test scores, and educational outcomes across different countries and educational levels (k = 30, g = 0.86). The findings suggest…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Learning Motivation, Student Attitudes
Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
TuongVan Vu; Martijn Meeter; Abe Hofman; Brenda Jansen; Lucía Magis-Weinberg; Elise van Triest; Nienke van Atteveldt – British Journal of Educational Psychology, 2025
Background: The purported reciprocity between motivation and academic achievement in education has largely been supported by correlational data. Aims: Our first aim was to determine experimentally whether motivation and achievement are reciprocally related. The second objective was to investigate a potential behavioural mediation pathway between…
Descriptors: Learning Motivation, Academic Achievement, Correlation, Undergraduate Students
Abdullah Alamer; Esmaeel Saeedy Robat; Majid Elahi Shirvan; Richard Ryan – Educational Psychology Review, 2025
In this meta-analysis, we examined the average correlations (weighted for sample size and corrected for measurement error) between the varied types of motivation specified within self-determination theory (SDT) and second language (L2) achievement. We also conducted moderator analyses to explore whether these relationships are influenced by age,…
Descriptors: Self Determination, Language Acquisition, Meta Analysis, Second Language Learning
Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation
Kingsley Chinaza Nwosu; Moses Onyemaechi Edeh; Edna Nkechi Ofojebe; Hasina Cassim – Electronic Journal of Research in Educational Psychology, 2024
Introduction: Understanding the mechanism through which test anxiety affects students' learning outcomes is critical to its management. Test preparation strategies are associated with test confidence and might also affect students' academic performance. However, previous studies have downplayed the role that students' test preparation strategies…
Descriptors: Foreign Countries, Secondary School Students, Test Anxiety, Test Preparation
Zachary S. Hazlett; P. Citlally Jimenez; Jennifer K. Knight – CBE - Life Sciences Education, 2025
Evidence abounds that passive strategies such as rereading or highlighting are less effective than active strategies such as drawing models or explaining concepts to others. However, many studies have also reported that students tend to use learning strategies that they perceive as comfortable and easy, even when other strategies may be more…
Descriptors: Self Evaluation (Individuals), Testing, Learning Strategies, Study Habits
The Causal Relationship between Learner Motivation and Language Achievement: New Dynamic Perspective
Alamer, Abdullah; Alrabai, Fakieh – Applied Linguistics, 2023
It is well known that successful second language (L2) learners are motivated individuals. Accordingly, L2 researchers have tested the predictive power of different motivational constructs on language learning outcomes. However, this perspective appears to neglect the assessment of achievement as a predictor of future motivation. To assess this…
Descriptors: Learning Motivation, Second Language Learning, Achievement, Academic Achievement
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory