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Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty
Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2019
In order to help undergraduate students towards successfully completing their degrees, developing tools that can assist students during the course selection process is a significant task in the education domain. The optimal set of courses for each student should include courses that help him/her graduate in a timely fashion and for which he/she is…
Descriptors: Undergraduate Students, Grade Point Average, Course Selection (Students), Prediction
Van, Son Huynh; Minh, Hong Nguyen Thi; Vinh, Khuong Nguyen; Vinh, Loc Sam; Thien, Vu Giang – International Journal of Education and Practice, 2019
This study attempts to forecast the results of school students in Vietnam by geographical region analysis. Results show variations between regions. In the Red River Delta region, it is forecast that in the decade 2015 to 2025, the number of children attending to school will increase slightly. In the Midlands and Northern Mountains region, the…
Descriptors: Foreign Countries, Prediction, Outcomes of Education, Attendance Patterns
Manrique, Irany Vera; Gutiérrez, Gabriela Rivadeneyra; González, David Alejandro Martínez – Physics Teacher, 2019
This article describes an experiment that can be done in the classroom in a simple way, with the support of a "homemade" device or as a laboratory practice with the support of PASCO equipment. Through a theory-practice sequence, kinematic and dynamic equations were checked with qualitative and quantitative analysis, emphasizing the…
Descriptors: Teaching Methods, Computer Software, Physics, Science Instruction
Billingsley, Berry; Nassaji, Mehdi – Science & Education, 2019
There are widespread calls for school education to put more emphasis on developing students' appreciation of the power and limitations of science. Without effective teaching, there is a risk that sensationalist media claims will unduly influence students' perceptions of the power of science to already explain and predict aspects of our daily…
Descriptors: Secondary School Students, Secondary School Science, Science Instruction, Student Characteristics
Ishkhanyan, Byurakn; Boye, Kasper; Mogensen, Jesper – Journal of Psycholinguistic Research, 2019
The interaction between working memory and language processing is widely discussed in cognitive research. However, those studies often explore the relationship between language comprehension and working memory (WM). The role of WM is rarely considered in language production, despite some evidence suggesting a relationship between the two cognitive…
Descriptors: Correlation, Short Term Memory, Language Processing, Psycholinguistics
Allen, Jeff; Mattern, Krista; Ndum, Edwin – Educational Measurement: Issues and Practice, 2019
We derived an index of high school academic rigor (HSAR) by optimizing the prediction of first-year college GPA (FYGPA) based on high school courses taken, grades, and indicators of advanced coursework. Using a large data set and nominal parameterization of high school course outcomes, the HSAR index capitalizes on differential contributions…
Descriptors: High Schools, Difficulty Level, Prediction, Grade Point Average
Tu, Kelly M.; Spencer, Clayton W.; El-Sheikh, Mona; Erath, Stephen A. – Journal of Early Adolescence, 2019
This study examined the prospective association between peer victimization and subjective sleep quality among typically developing early adolescents. At Time 1 (T1), participants included 123 youth (50% boys; X-bar age = 12.03 years; 58.5% European American, 35% African American), along with one parent and teacher. Youth, parents, and teachers…
Descriptors: Peer Groups, Bullying, Sleep, Correlation
Eom, Mi Ri; Lee, Young In – IEEE Transactions on Education, 2020
Contribution: This article aims to explore learner variables that predict the effectiveness of university class using the Havruta method. Background: This article was conducted on 105 learners enrolled in the "General Physics and Experiments 2" class at K University in South Korea. Research Questions: Independent and dependent variables…
Descriptors: Physics, Science Instruction, Foreign Countries, Instructional Effectiveness
Ossewaarde, Roelant; Jonkers, Roel; Jalvingh, Fedor; Bastiaanse, Roelien – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Corpus analyses of spontaneous language fragments of varying length provide useful insights in the language change caused by brain damage, such as caused by some forms of dementia. Sample size is an important experimental parameter to consider when designing spontaneous language analyses studies. Sample length influences the confidence…
Descriptors: Speech Communication, Dementia, Computational Linguistics, Neurological Impairments
Schreiner, Melanie S.; van Schaik, Johanna E.; Sucevic, Jelena; Hunnius, Sabine; Meyer, Marlene – Developmental Psychology, 2020
Parents modulate their speech and their actions during infant-directed interactions, and these modulations facilitate infants' language and action learning, respectively. But do these behaviors and their benefits cross these modality boundaries? We investigated mothers' infant-directed speech and actions while they demonstrated the action-effects…
Descriptors: Infants, Mothers, Parent Child Relationship, Active Learning
Musso, Mariel F.; Hernández, Carlos Felipe Rodríguez; Cascallar, Eduardo C. – Higher Education: The International Journal of Higher Education Research, 2020
Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches.…
Descriptors: Classification, Prediction, Artificial Intelligence, College Students
Tomlinson, Brian – Language Teaching Research Quarterly, 2020
In this article I am going to review the 'progress' which L2 materials development has made both as a practical pursuit and as an academic discipline since my first contact with materials development in the 1960s. I am also going to evaluate the current situation, to make predictions about future developments and to make recommendations to…
Descriptors: Material Development, Instructional Materials, Second Language Learning, Second Language Instruction
Zhai, Xiaoming; Shi, Lehong – Journal of Science Education and Technology, 2020
This study investigated how students' and teachers' pedagogical roles in mobile learning moderated the relationship between high school students' perceived usefulness of mobile technology and the actual use frequency, as well as how students' perceived usefulness impacted their physics learning achievement. We examined 803 high school freshmen who…
Descriptors: Teacher Role, Student Role, Student Attitudes, Physics
Çevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction

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