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Alonso-Fernández, Cristina; Martínez-Ortiz, Iván; Caballero, Rafael; Freire, Manuel; Fernández-Manjón, Baltasar – Journal of Computer Assisted Learning, 2020
Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires-postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict…
Descriptors: Case Studies, Teaching Methods, Game Based Learning, Student Motivation
Jaradat, Suhair A.; Ajlouni, Aseel O. – International Journal of Education and Practice, 2020
This study investigated the levels of social presence, online learning self-efficacy, and student satisfaction among undergraduate students taking online courses from the School of Educational Sciences at the University of Jordan during the COVID-19 pandemic. It was hypothesized that the relationships between these variables and the degrees of…
Descriptors: Student Attitudes, Self Efficacy, Online Courses, Correlation
Wakelam, Edward; Jefferies, Amanda; Davey, Neil; Sun, Yi – British Journal of Educational Technology, 2020
The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…
Descriptors: Academic Achievement, At Risk Students, Data Analysis, Identification
Fitriani, Apriza; Zubaidah, Siti; Susilo, Herawati; Al Muhdhar, Mimien Henie Irawati – Eurasian Journal of Educational Research, 2020
Purpose: This study aimed to investigate the potential effects of problem-based learning (PBL), predict observe explain (POE), and PBLPOE on students' problem-solving skills and self-efficacy in Biology. This research is based on various facts that problem-solving skills and self-efficacy of Indonesian students in biology subjects are still low.…
Descriptors: Problem Based Learning, Problem Solving, Self Efficacy, Prediction
Asadi, Ibrahim A. – Reading Psychology, 2020
This study aimed at examining the contribution of various linguistic components to reading comprehension (RC) in the seventh and ninth grades and to compare this contribution between two groups: children with typical development and those with reading disorders (RD). This was done by testing the relative contribution of phonological awareness,…
Descriptors: Reading Comprehension, Middle School Students, Prediction, Semitic Languages
Seider, Scott; Clark, Shelby; Graves, Daren – Child Development, 2020
Critical consciousness, the process by which individuals come to understand, analyze, and take action against systems of oppression, is associated with several positive youth outcomes. However, little research has considered how the core components of critical consciousness (critical reflection, political agency, critical action) are associated…
Descriptors: Academic Achievement, Minority Group Students, Grade Point Average, Political Attitudes
Atit, Kinnari; Power, Jason R.; Veurink, Norma; Uttal, David H.; Sorby, Sheryl; Panther, Grace; Msall, Camille; Fiorella, Logan; Carr, Martha – Grantee Submission, 2020
Background: Spatial skills and mathematical ability have been repeatedly identified as critical for achievement in Science, Technology, Engineering, and Mathematics (STEM). Previous studies have identified correlations between spatial skills and mathematical achievement; however, questions remain regarding improvements in non-spatial areas…
Descriptors: Spatial Ability, Mathematics Skills, Standardized Tests, STEM Education
Mao, Ye; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Modeling student learning processes is highly complex since it is influenced by many factors such as motivation and learning habits. The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further. Deep Learning models such as Long-Short Term Memory (LSTMs) and…
Descriptors: Time, Models, Artificial Intelligence, Bayesian Statistics
Arig, Seda; Deniz, Mehmet Engin – Online Submission, 2020
In this study, the degree of predicting depression of university students' emotional intelligence and emotional expression was investigated. For this purpose, the sub-dimensions of the research, the differentiation of depression level according to some demographic variables and the relationship between depression level and emotional intelligence…
Descriptors: Prediction, Emotional Intelligence, Undergraduate Students, Emotional Response
Lomholt, Johanne Jeppesen; Arendt, Jacob Nielsen; Bolvig, Iben; Thastum, Mikael – Scandinavian Journal of Educational Research, 2022
This study investigated risk factors for school absenteeism in a sample of 983 children in elementary and lower secondary schools in Denmark, using administrative data on absenteeism measured in the year following risk factor measurement. Risk factors were measured by survey (children and teachers) and register data. Two methods of determining…
Descriptors: Attendance, Risk, Comparative Analysis, Prediction
Cordeiro, Carolina; Magalhães, Sofia; Nunes, Andreia; Olive, Thierry; Castro, São Luís; Limpo, Teresa – Journal of Research in Childhood Education, 2022
Writing is a complex task that requires the activation and coordination of several processes. In addition to the research on the domain-specific factors that contribute to school achievement, there is an increasing interest on general variables, such as mindfulness. Here, we aimed to test the contribution of middle-grade students' trait…
Descriptors: Metacognition, Writing Achievement, Prediction, Executive Function
Kim, Eui Kyung; Choe, Danbi – School Psychology Review, 2022
The national social, emotional, and behavioral (SEB) screening in South Korean schools focuses on identifying and intervening with students at risk for SEB concerns, with little attention paid to students' SEB strength. This study aimed to examine (a) the technical adequacy of the Social Emotional Health Survey--Primary (SEHS-P), Youth…
Descriptors: Foreign Countries, Screening Tests, At Risk Students, Social Development
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Ley, Tobias; Tammets, Kairit; Sarmiento-Márquez, Edna Milena; Leoste, Janika; Hallik, Maarja; Poom-Valickis, Katrin – European Journal of Teacher Education, 2022
Integration of technology in schools rests on effective teacher education programmes that help teachers create new teaching and learning methods and adopt them for classroom use. Social learning processes play a key role in this, but there is a lack of understanding of their role in technology adoption and in evidencing them in teacher education…
Descriptors: Technology Integration, Faculty Development, College School Cooperation, Partnerships in Education
Weiler, Tanya; Murad, Md. Wahid – Journal of Social Studies Education Research, 2022
The main objective of this study is to identify and discuss the motivational factors that significantly influence learners' academic success in an Australian enabling education setting. The logistic regression technique has been employed to identify the motivational factors using data collected through online surveys with 331 learners enrolled in…
Descriptors: Academic Achievement, Student Motivation, Student Attitudes, Online Surveys

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