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Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai – International Journal on E-Learning, 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…
Descriptors: Blended Learning, Advanced Courses, Engineering Education, Undergraduate Students
Karaoglan-Yilmaz, Fatma Gizem; Ustun, Ahmet Berk; Zhang, Ke; Yilmaz, Ramazan – Turkish Online Journal of Distance Education, 2023
Blended learning (BL) has been increasingly implemented in higher education. However, limited research is available to understand the role of metacognitive awareness, reflective thinking, problem solving and community of inquiry as related to students' academic self-efficacy in BL. The purpose of this research is to examine the effect of…
Descriptors: Metacognition, Reflection, Problem Solving, Inquiry
Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19
Zheng, Chen – International Journal for the Scholarship of Teaching and Learning, 2023
This paper examines whether and to what extent student engagement with the learning management system (LMS) Blackboard affects students' academic performance during the COVID-19 pandemic. We find strong evidence that higher student engagement with Blackboard is associated with better academic performance. We also find that the association between…
Descriptors: Learner Engagement, Academic Achievement, COVID-19, Pandemics
Jost, Nathanael S.; Jossen, Sina L.; Rothen, Nicolas; Martarelli, Corinna S. – Education and Information Technologies, 2021
Ongoing digital transformations facilitate the conduct of online courses and distance learning. In this study, it was aimed to investigate the role of learners' personalities and behaviors in their academic success (exam scores) in a blended learning setting (combination of distance learning and face-to-face learning). Next to individual…
Descriptors: Blended Learning, Student Behavior, Personality, Academic Achievement

Sarah K. Mason; Matt Hancock; Izzy Thornton – Grantee Submission, 2024
Rural Mississippi schools often face challenges in providing equitable access to Advanced Placement (AP) courses, particularly in STEM fields. This lack of access limits opportunities for high-achieving students to pursue rigorous STEM coursework and related careers. The AP STEM program aims to improve access to AP STEM courses for high-achieving…
Descriptors: Rural Schools, STEM Education, Advanced Placement Programs, Access to Education
Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
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…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
Ozudogru, Melike – Eurasian Journal of Educational Research, 2020
Purpose: This study aimed to predict the achievement of pre-service teachers majoring in education through some learner characteristics like gender, self-directed learning readiness dimensions, and course context (being in the flipped learning class and traditional teaching classes). Research Methods: This study employed a relational survey…
Descriptors: Preservice Teachers, Predictor Variables, Student Characteristics, Learning Readiness
Kim, Alice S. N.; Nairn, Brian C.; Popovic, Celia; Carozza, Linda; Balidio, Elaine C. – Canadian Journal for the Scholarship of Teaching and Learning, 2020
Past research on face-to-face instructional delivery demonstrates that students' participation is positively related to their achievement in a course (Rocca, 2010), and that participation mediates the relation between attendance and achievement (Kim et al., 2019). Given that blended learning is on the rise in higher education (Johnson et al.,…
Descriptors: Student Participation, Predictor Variables, Blended Learning, General Education
Yu, Liang; Chen, Shijian; Recker, Mimi – Australasian Journal of Educational Technology, 2021
This study investigated the structural relationships between self-regulated learning, teachers' credibility, information and communications technology (ICT) literacy and academic performance in blended learning. The study sample comprised of 449 undergraduates who completed blended courses within the past 3 years and consisted of 53% males (N =…
Descriptors: Independent Study, Teacher Characteristics, Credibility, Information Technology
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
Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
Ozudogru, Melike – International Journal of Progressive Education, 2021
This case study aimed to investigate whether the perceived satisfaction, collaboration, and social presence of pre-service teachers predicted their achievement in a blended learning environment and differed significantly according to their gender and departments. This study was conducted during the fall semester of 2019-2020 for six weeks at an…
Descriptors: Preservice Teachers, Student Satisfaction, Academic Achievement, Cooperative Learning
Keith, Barbara J. – ProQuest LLC, 2022
The purpose of this study was to examine the impact of first-year seminar (FYS) course modality on first-semester GPA and second-semester retention of community college students' system-wide. For many student's community colleges serve as an affordable option for higher education. The first-year seminar course connects students to the college to…
Descriptors: First Year Seminars, College Freshmen, Community College Students, Academic Achievement