NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 109 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Delianidi, Marina; Diamantaras, Konstantinos – Journal of Educational Data Mining, 2023
Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…
Descriptors: Academic Achievement, Prediction, Cognitive Measurement, Bayesian Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Liu, Chengyuan; Doshi, Divyang; Shang, Ruixuan; Cui, Jialin; Jia, Qinjin; Gehringer, Edward – Journal of Educational Data Mining, 2023
A peer-assessment system provides a structured learning process for students and allows them to write textual feedback on each other's assignments and projects. This helps instructors or teaching assistants perform a more comprehensive evaluation of students' work. However, the contribution of peer assessment to students' learning relies heavily…
Descriptors: Peer Evaluation, Student Evaluation, Feedback (Response), Educational Quality
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Baker, Ryan S.; Esbenshade, Lief; Vitale, Jonathan; Karumbaiah, Shamya – Journal of Educational Data Mining, 2023
Predictive analytics methods in education are seeing widespread use and are producing increasingly accurate predictions of students' outcomes. With the increased use of predictive analytics comes increasing concern about fairness for specific subgroups of the population. One approach that has been proposed to increase fairness is using demographic…
Descriptors: Demography, Data Use, Prediction, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – Journal of Educational Data Mining, 2023
Collaborative learning has numerous benefits such as enhancing learners' critical thinking, developing social skills, and improving learning gains. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. However, detecting learners' satisfaction…
Descriptors: Cooperative Learning, Group Dynamics, Student Satisfaction, Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gitinabard, Niki; Gao, Zhikai; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – Journal of Educational Data Mining, 2023
Few studies have analyzed students' teamwork (pairwork) habits in programming projects due to the challenges and high cost of analyzing complex, long-term collaborative processes. In this work, we analyze student teamwork data collected from the GitHub platform with the goal of identifying specific pair teamwork styles. This analysis builds on an…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Student Projects
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Yingbin; Pinto, Juan D.; Fan, Aysa Xuemo; Paquette, Luc – Journal of Educational Data Mining, 2023
The second CSEDM data challenge aimed at finding innovative methods to use students' programming traces to model their learning. The main challenge of this task is how to decide which past problems are relevant for predicting performance on a future problem. This paper proposes a set of weighting schemes to address this challenge. Specifically,…
Descriptors: Problem Solving, Introductory Courses, Computer Science Education, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sanguino, Juan Camilo; Manrique, Rubén; Mariño, Olga; Linares-Vásquez, Mario; Cardozo, Nicolás – Journal of Educational Data Mining, 2022
Recommender systems in educational contexts have proven to be effective in identifying learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In this article, we present the design of a hybrid…
Descriptors: Information Systems, Educational Resources, Independent Study, Online Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – Journal of Educational Data Mining, 2022
Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their…
Descriptors: Student Projects, Learning Analytics, Intelligent Tutoring Systems, Feedback (Response)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Phan, Vinhthuy; Wright, Laura; Decent, Bridgette – Journal of Educational Data Mining, 2022
The allocation of merit-based awards and need-based aid is important to both universities and students who wish to attend the universities. Current approaches tend to consider only institution-centric objectives (e.g. enrollment, revenue) and neglect student-centric objectives in their formulations of the problem. There is lack of consideration to…
Descriptors: Student Financial Aid, Access to Education, Merit Scholarships, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gao, Zhikai; Erickson, Bradley; Xu, Yiqiao; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – Journal of Educational Data Mining, 2022
Demand for education in Computer Science has increased markedly in recent years. With increased demand has come to an increased need for student support, especially for courses with large programming projects. Instructors commonly provide online post forums or office hours to address this massive demand for help requests. Identifying what types of…
Descriptors: Computer Science Education, Help Seeking, College Faculty, Teacher Role
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8