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Zhao, Qun; Wang, Jin-Long; Pao, Tsang-Long; Wang, Li-Yu – Journal of Educational Technology Systems, 2020
This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage.…
Descriptors: Classification, Learning, Accuracy, Prediction
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Giani, Matt S.; Walling, David – Journal of College Access, 2020
A sizable number of low-income high school graduates enroll in colleges less selective than their academic qualifications would allow or forgo postsecondary altogether despite being college-ready. One potential cause of this "undermatching" is that some students have limited access to information about their college options. We…
Descriptors: College Admission, Public Colleges, Prediction, College Applicants
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Tomaszek, Katarzyna; Muchacka-Cymerman, Agnieszka – Educational Sciences: Theory and Practice, 2020
Student burnout and Internet addiction are two of the serious problems that are common among young people. Both are connected with many negative effects on the mental functioning of adolescents. However, so far only few studies have explored these two phenomena all together. The aim of our study was to test the relationship between student burnout…
Descriptors: Burnout, Internet, Correlation, Gender Differences
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McMahon-Howard, Jennifer; Scherer, Heidi; McCafferty, James T. – Journal of School Violence, 2020
This study examined the factors that influence support for campus carry laws among a sample of approximately 2,700 faculty/administrators, staff, and students at a large, public university in Georgia. Although previous research suggests that support for campus carry may differ across groups on campus, there have been no studies that have examined…
Descriptors: Weapons, Student Attitudes, Teacher Attitudes, College Faculty
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Monllaó Olivé, David; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – Journal of Computing in Higher Education, 2020
Both educational data mining and learning analytics aim to understand learners and optimise learning processes of educational settings like Moodle, a learning management system (LMS). Analytics in an LMS covers many different aspects: finding students at risk of abandoning a course or identifying students with difficulties before the assessments.…
Descriptors: Identification, At Risk Students, Potential Dropouts, Online Courses
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Eisenberg, Nancy – Developmental Psychology, 2020
This special issue consists of 20 articles that focus on issues related to Eisenberg and colleagues' (Eisenberg, Cumberland, & Spinrad, 1998; Eisenberg, Spinrad, & Cumberland, 1998) model of emotion socialization processes and its relevance for understanding a range of aspects of children's socioemotional functioning. The various papers…
Descriptors: Self Control, Child Development, Socialization, Social Development
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Martínez Pérez, Sandra Areli; Sánchez Sánchez, Ernesto A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
This work reports the results of a research aimed to know the probabilistic reasoning of high-school students when they deal with the notion of random intervals. An activity was carried out involving students between ages 16 and 17 who built random intervals through physical and computational simulations. The research question guiding this work…
Descriptors: High School Students, Thinking Skills, Probability, Intervals
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
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Miao, Dezhuang; Dong, Yu; Lu, Xuesong – International Educational Data Mining Society, 2020
In colleges, programming is increasingly becoming a general education course of almost all STEM majors as well as some art majors, resulting in an emerging demand for scalable programming education. To support scalable education, teaching activities such as grading and feedback have to be automated. Recently, online judge systems have been…
Descriptors: Programming, Prediction, Error Patterns, Models
Brandy Lee Hepler – ProQuest LLC, 2020
Effective teachers are those who create a classroom climate which meets the needs of the students (Darling-Hammond, 2009; Hart & Hodsen, 2004). In an attempt to identify preservice teachers who can create this type of classroom, Missouri added a workplace inventory, the Missouri Educator Profile (MEP), to their required battery of teacher…
Descriptors: Measures (Individuals), Preservice Teachers, Prediction, Scores
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Martin, BrittanyLee N.; Fuchs, Lynn S. – Learning Disabilities Research & Practice, 2022
The first purpose of this study was to examine the prevalence of risk for comorbid reading and mathematics disabilities (RMD) at start of first grade, when measured in a representative sample of 3,062 students with first-grade fluency measures (word reading; computation). The second purpose was to examine the utility of these measures for…
Descriptors: Prediction, Risk, Comorbidity, Multiple Disabilities
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Guo, Meng; Hu, Xiang; Leung, Frederick K. S. – International Journal of Science and Mathematics Education, 2022
This study examined the relationships among cultural values, goal orientations, and mathematics achievement in mainland China. Structural equation models were used to analyze data on 350 Grade 5 students. The results showed that mathematics achievement was positively related to family-support and mastery goal orientations and negatively related to…
Descriptors: Cultural Influences, Goal Orientation, Mathematics Achievement, Grade 5
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Pei, Bo; Xing, Wanli – Journal of Educational Computing Research, 2022
This paper introduces a novel approach to identify at-risk students with a focus on output interpretability through analyzing learning activities at a finer granularity on a weekly basis. Specifically, this approach converts the predicted output from the former weeks into meaningful probabilities to infer the predictions in the current week for…
Descriptors: At Risk Students, Learning Analytics, Information Retrieval, Models
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Schuhmann, Katharina S.; Smith, Laura Catharine – Unterrichtspraxis/Teaching German, 2022
German plural formation appears unsystematic and largely arbitrary to many second language (L2) learners. While some approaches have attempted to identify patterns and rules to help L2 learners (e.g., Anton et al., 2017; Di Donato & Clyde, 2020; Kraiss, 2014), one central observation from linguistic analysis has been absent from pedagogical…
Descriptors: German, Morphemes, Intonation, Suprasegmentals
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Shukla, Vishakha; Long, Madeleine; Bhatia, Vrinda; Rubio-Fernandez, Paula – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
While most research on scalar implicature has focused on the lexical scale "some" vs "all," here we investigated an understudied scale formed by two syntactic constructions: categorizations (e.g., "Wilma is a nurse") and comparisons ("Wilma is like a nurse"). An experimental study by Rubio-Fernandez et al.…
Descriptors: Cues, Pragmatics, Comparative Analysis, Syntax
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