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A Data-Driven Approach to Predict First-Year Students' Academic Success in Higher Education Institutions
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Gil, Paulo Diniz; da Cruz Martins, Susana; Moro, Sérgio; Costa, Joana Martinho – Education and Information Technologies, 2021
This study presents a data mining approach to predict academic success of the first-year students. A dataset of 10 academic years for first-year bachelor's degrees from a Portuguese Higher Institution (N = 9652) has been analysed. Features' selection resulted in a characterising set of 68 features, encompassing socio-demographic, social origin,…
Descriptors: Data Use, Decision Making, Predictor Variables, Academic Achievement
Predicting Students' Performance in English and Mathematics Using Data Mining Techniques
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Roslan, Muhammad Haziq Bin; Chen, Chwen Jen – Education and Information Technologies, 2023
This study attempts to predict secondary school students' performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students' performance in English and Mathematics, characteristics of students with different levels of performance, the most effective DM technique for students'…
Descriptors: Foreign Countries, Secondary School Students, Academic Achievement, English Instruction
Towards Teaching Analytics: A Contextual Model for Analysis of Students' Evaluation of Teaching through Text Mining and Machine Learning Classification
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Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Achem, Joaquín Alejandro Guerra; Escamilla, Jose; Hosseini, Samira – Education and Information Technologies, 2022
Recent trends in "educational technology" have led to emergence of methods such as teaching analytics (TA) in understanding and management of the teaching-learning processes. Didactically, "teaching analytics" is one of the promising and emerging methods within the Education domain that have proved to be useful, towards…
Descriptors: Learning Analytics, Student Evaluation of Teacher Performance, Information Retrieval, Educational Technology
ICT, Learning Environment and Student Characteristics as Potential Cross-Country Predictors of Academic Achievement
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Erdogdu, Funda – Education and Information Technologies, 2022
The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate,…
Descriptors: Academic Achievement, Predictor Variables, International Assessment, Secondary School Students