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Showing 1 to 15 of 52 results Save | Export
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Mansouri, Taha; ZareRavasan, Ahad; Ashrafi, Amir – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…
Descriptors: Cognitive Mapping, Models, Prediction, Performance Factors
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Adam Burke; Susan Stewart – Active Learning in Higher Education, 2024
Colleges and universities have implemented a broad range of initiatives to support student success. Problem solving courses and course supplements are one approach. Evaluation of these courses has shown positive outcomes in terms of improved academic performance and other benefits. A number of these studies have also reported the largest positive…
Descriptors: Problem Solving, Success, College Students, Active Learning
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Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
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Mehdi, Riyadh; Nachouki, Mirna – Education and Information Technologies, 2023
Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…
Descriptors: Foreign Countries, Grade Point Average, Graduation, Time to Degree
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Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
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Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
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Langhout, Regina Day; Gordon, David L. – Journal of Diversity in Higher Education, 2021
When college-based service learning is examined, outcomes are often analyzed in a univariate framework, and participants tend to be White and middle class (if demographic information is given). This examination is a survey of 198 students who were primarily underrepresented and misrepresented students attending a Hispanic Serving Institution. The…
Descriptors: College Students, Hispanic American Students, Minority Serving Institutions, Service Learning
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Neumann, Yoram; Neumann, Edith; Lewis, Shelia – Online Journal of Distance Learning Administration, 2017
Based on recent studies of self-reflective learning and its effects on various learning outcomes, this study examined the concept of self-reflective learning in the context of the Robust Learning Model (RLM), which is a learning model designed for improving the educational effectiveness of online degree programs. Two models were introduced to…
Descriptors: Masters Degrees, Online Courses, Reflection, Teaching Methods
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Alkharusi, Hussain Ali; Al Sulaimani, Humaira; Neisler, Otherine – International Journal of Instruction, 2019
Critical thinking is necessary for academic success in higher education. Hence, universities seek various ways to integrate it in the programs to enhance the productivity of their graduates. This study presents the development of a predictive model for critical thinking ability using a combination of background, demographic, and psycho-educational…
Descriptors: Critical Thinking, Thinking Skills, College Students, Foreign Countries
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Alahdadi, Shadi; Ghanizadeh, Afsaneh – Iranian Journal of Language Teaching Research, 2017
A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…
Descriptors: Cultural Awareness, Cognitive Style, Translation, Language Teachers
Saekyun H. Lee – ProQuest LLC, 2021
The heightened importance of foreign languages (L2) in the post 9-11 world demands more L2 listening research as listening is considered the most critical skill for most American military linguists. Some larger studies show that lexical knowledge can positively affect L2 listening (Chang, 2007; Mehrpour & Rahimi, 2010; Staehr, 2009), yet…
Descriptors: Second Language Learning, Second Language Instruction, Grade Point Average, Grades (Scholastic)
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Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
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Johnson, Marcus L.; Taasoobshirazi, Gita; Kestler, Jessica L.; Cordova, Jackie R. – Educational Psychology, 2015
We tested a theoretical model of college students' ratings of messengers of resilience and models of resilience, students' own perceived resilience, regulatory strategy use and achievement. A total of 116 undergraduates participated in this study. The results of a path analysis indicated that ratings of models of resilience had a direct effect on…
Descriptors: Resilience (Psychology), Undergraduate Students, Models, Academic Achievement
Lang, Charles William McLeod – ProQuest LLC, 2015
Personalization, the idea that teaching can be tailored to each students' needs, has been a goal for the educational enterprise for at least 2,500 years (Regian, Shute, & Shute, 2013, p.2). Recently personalization has picked up speed with the advent of mobile computing, the Internet and increases in computer processing power. These changes…
Descriptors: Individualized Instruction, Electronic Learning, Mathematics, Bayesian Statistics
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