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Irena Puji Luritawaty; Tatang Herman; Sufyani Prabawanto – Mathematics Teaching Research Journal, 2024
Critical thinking is a key transversal competency of the 21st century, but some students have difficulty, especially during the transition to online learning due to the COVID-19 pandemic. This study aims to identify epistemological obstacles in critical thinking related to proof, generalization, alternative answers, and problem-solving. This…
Descriptors: Critical Thinking, Electronic Learning, Epistemology, Mathematical Models
Jia Tracy Shen – ProQuest LLC, 2023
In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…
Descriptors: Artificial Intelligence, Electronic Learning, Data, Generalization
Darwazeh, Afnan N.; Branch, Robert M.; Karram, Omar I.; Hmoud, Mohammed R. – Quarterly Review of Distance Education, 2022
This article aims to propose a digital version of Darwazeh's learning taxonomy. The DLT consists of 10 cognitive processes sequenced hierarchical from simple to complex either vertically from one mental process to another, or horizontally in each mental process. These cognitive processes are facts' remembrance, generalities' remembrance,…
Descriptors: Electronic Learning, Taxonomy, Cognitive Processes, Recall (Psychology)
Dawes Duraisingh, Liz; Blair, Susannah; Aguiar, Anastasia – Intercultural Education, 2021
Twenty-six participants aged 12-18 living in four countries were interviewed about their experiences participating in a digital exchange programme and learning about cultures. Abductive analysis of the transcripts suggests that social media-type learning formats offer particular opportunities for young people to: (1) engage with different cultures…
Descriptors: Multicultural Education, International Educational Exchange, Social Media, Adolescents
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Podaeva, Natalia Georgievna; Agafonov, Pavel Alexandrovich – Journal of Educational Psychology - Propositos y Representaciones, 2020
In the context of the sociocultural approach, the authors studied the problem of the development of the students' conceptual mental structures in the process of geometry teaching. An educational activity for the development of a generalized ability to solve geometry construction problems in electronic educational environment served as a…
Descriptors: Mathematics Instruction, Elective Courses, Electronic Learning, Courseware
A Generalizable Framework for Multi-Scale Auditing of Digital Learning Provision in Higher Education
Ross, Samuel R. P-J.; Volz, Veronica; Lancaster, Matthew K.; Divan, Aysha – Online Learning, 2018
It is increasingly important that higher education institutions be able to audit and evaluate the scope and efficacy of their digital learning resources across various scales. To date there has been little effort to address this need for a validated, appropriate, and simple-to-execute method that will facilitate such an audit, whether it be at the…
Descriptors: Higher Education, Audits (Verification), Electronic Learning, Educational Resources
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Nusbaum, Jamie L. – ProQuest LLC, 2014
The purpose of this study was to investigate the relationship between academic achievement of secondary charter and traditional schools. Despite the national proliferation of charter schools, few people are studying the academic impact these schools are having with regard to state-mandated tests. Charter schools have been funded and politically…
Descriptors: Charter Schools, Sustainability, Academic Achievement, Grade 10
Nissen, Elke; Tea, Elena – Computer Assisted Language Learning, 2012
This study explores how second generation tutors within blended learning courses link the face-to-face and online course modalities--in their representations as well as through their pedagogical activities--and which aspects help them to feel involved in the course. The methodology used is a qualitative analysis of interviews with seven tutors of…
Descriptors: Electronic Learning, Blended Learning, Learning Modalities, Online Courses
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection