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Showing 1 to 15 of 25 results Save | Export
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E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
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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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Bertossi, Alberto; Marangon, Francesco – International Journal of Sustainability in Higher Education, 2022
Purpose: Changing the present behavior of individuals toward a more sustainable lifestyle is a complex task requiring a well-established strategy and institutional commitment. The purpose of this paper is to understand the strategic steps, as proposed by Steg and Vlek (2009), that has been mostly focused on by higher education institutions (HEIs)…
Descriptors: Educational Strategies, Conservation (Environment), Higher Education, Student Behavior
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Karwowski, Maciej – Creativity Theory and Action in Education, 2017
Schools have poor reputation among creativity researchers. Teachers' biases and implicit theories, disruptive behaviors among creative students, and the equivocal pattern of the relationship between creativity and school achievement all contribute to this fact. This chapter presents a new typological model of creativity and demonstrate how this…
Descriptors: Creativity, Teaching Methods, Behavior Problems, Correlation
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Reyes, Marcela; Hwang, NaYoung – Educational Policy, 2021
Researchers are concerned that English language learners (ELL) may remain classified too long and, therefore, may not receive appropriate mainstream educational services. In this study, we investigate the effects of language classification on student outcomes in one California school district. Our ordinary least squares regression estimates…
Descriptors: Middle School Students, High School Students, Academic Achievement, Classification
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Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2019
Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…
Descriptors: Predictor Variables, Correlation, Student Motivation, Metacognition
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Demir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
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Li, Li; Titsworth, Scott – American Journal of Distance Education, 2015
The current program of research included two studies that developed the Student Online Misbehaviors (SOMs) scale and explored relationships between the SOMs and various classroom communication processes and outcomes. The first study inductively developed initial SOM typologies and tested factor structure via an exploratory factor analysis.…
Descriptors: Student Behavior, Behavior Problems, Online Courses, Electronic Learning
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Granit-Dgani, Dafna; Kaplan, Avi; Flum, Hanoch – Environmental Education Research, 2017
This article reports on the development of a theory-informed assessment instrument for use in evaluating environmental education programs. The instrument involves coding learners' brief reflective writing on five established educational and social psychological constructs that correspond to five important goals of environmental education:…
Descriptors: Environmental Education, Formative Evaluation, Coding, Writing (Composition)
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Shanahan, Kevin J.; Hopkins, Christopher D.; Carlson, Les; Raymond, Mary Anne – Marketing Education Review, 2013
Employing and testing shoplifting-based constructs, we develop and validate a new multifaceted cheating behavior scale that allows educators to segment cheating behavior into what students perceive as trivial versus serious cheating. Results confirm that shoplifting-based scales perform well as predictors of cheating and also suggest that from…
Descriptors: Correlation, Classification, Crime, Cheating
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Chi, Michelene T. H.; Wylie, Ruth – Educational Psychologist, 2014
This article describes the ICAP framework that defines cognitive engagement activities on the basis of students' overt behaviors and proposes that engagement behaviors can be categorized and differentiated into one of four modes: "Interactive," "Constructive," "Active," and "Passive." The ICAP hypothesis…
Descriptors: Guidelines, Active Learning, Outcomes of Education, Learning Theories
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Alon, Nirit Lavie; Tal, Tali – International Journal of Science Education, 2015
In this study, we used the classification and regression trees (CART) method to draw relationships between student self-reported learning outcomes in 26 field trips to natural environments and various characteristics of the field trip that include variables associated with preparation and pedagogy. We wished to examine the extent to which the…
Descriptors: Outcomes of Education, Classification, Regression (Statistics), Curriculum Design
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Wanzek, Megan; Jenson, William R.; Houlihan, Daniel – School Psychology International, 2012
A review of the literature on Rett syndrome (RS) for school-based professionals is presented from a behavioral perspective. A description of RS is provided, including distinctive physical, behavioral, and emotional features, diagnostic criteria for classic and "formes frustes" forms of RS, and stages of the disorder. The similarities and…
Descriptors: Pervasive Developmental Disorders, Identification, Classification, Autism
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