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Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
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de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
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Owusu-Agyeman, Yaw; Larbi-Siaw, Otu – Education and Information Technologies, 2017
This study argues that in developing a robust framework for students in a blended learning environment, Structural Alignment (SA) becomes the third principle of specialisation in addition to Epistemic Relation (ER) and Social Relation (SR). We provide an extended code: (ER+/-, SR+/-, SA+/-) that present strong classification and framing to the…
Descriptors: Blended Learning, Specialization, Educational Policy, Guidelines
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Salazar, Omar Cuevas; López, Ramona Imelda García; Garcia, Javier José Vales; Medina, Isidro Roberto Cruz – International Journal of Higher Education, 2017
The tutorship program is aimed at supporting students throughout their university career and its objective is to prevent future problems of adaptation in the educational ambience as well as intervening in matters of academic achievement. At the Instituto Tecnológico de Sonora (Technological Institute of Sonora) (ITSON), the individual tutorship…
Descriptors: Academic Achievement, Tutorial Programs, Statistical Analysis, Foreign Countries
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Allan, Elizabeth G. – InSight: A Journal of Scholarly Teaching, 2016
This article identifies the strategies used by architecture professors and their undergraduate students to mitigate common issues that students raise about group work. Based on participant-observation, interviews with students and faculty, and analysis of instructional materials and student work, this IRB-approved ethnographic case study…
Descriptors: Undergraduate Students, Student Attitudes, Small Group Instruction, Cooperative Learning
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Kim, Jin-Young – Educational Technology & Society, 2015
This study explores and describes different viewpoints on Computer Based Assessment (CBA) by using Q methodology to identify perspectives of students and instructors and classify these into perceptional typologies. Thirty undergraduate students taking CBA courses and fifteen instructors adopting CBA into their curriculum at a university in Korea,…
Descriptors: Computer Assisted Testing, Classification, Q Methodology, Undergraduate Students
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Gleason, Jesse; Slater, Tammy – Language, Culture and Curriculum, 2017
Second language (L2) classroom research has sought to shed light on the processes and practices that develop L2 learners' abilities [Nunan, D. 2004. "Task-based language teaching." London: Continuum; Verplaetse, L. 2014. "Using big questions to apprentice students into language-rich classroom practices." "TESOL…
Descriptors: Second Language Learning, Spanish, Second Language Instruction, Task Analysis
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Lang, Guido; O'Connell, Stephen D. – Information Systems Education Journal, 2015
We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…
Descriptors: Introductory Courses, Correlation, Cognitive Style, Undergraduate Students
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Kim, Jin-Young – Computers & Education, 2012
This study explores and describes different viewpoints on blended e-Education by using Q methodology to identify students' perspectives and classify them into perceptional types. It is also designed to examine possible relationships among learner's perceptional type, characteristics (i.e., academic self-efficacy, interest in blended e-Education,…
Descriptors: Foreign Countries, Undergraduate Students, College Instruction, Self Efficacy