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Yasmin – Asian Journal of Distance Education, 2024
The paper explores and assesses, through quantitative research and data analytics models, as to how socio-demographic profile, work, and family responsibilities may be associated with motivational level and educational attainment or course completion rate of learners enrolled in the undergraduate courses of Indira Gandhi National Open University…
Descriptors: Student Characteristics, Profiles, Student Motivation, Academic Achievement
Chong, Sin Wang – Assessment & Evaluation in Higher Education, 2021
In response to the paradigm shift of feedback from information to process, the notion of 'student feedback literacy', which refers to students' capacities and dispositions to use feedback, has been increasingly promulgated in the higher education assessment literature recently. Student feedback literacy has been conceptualized into three…
Descriptors: Feedback (Response), Knowledge Level, Ability, College Students
Bussey, Thomas J.; Orgill, MaryKay; Crippen, Kent J. – Chemistry Education Research and Practice, 2013
Instructors are constantly baffled by the fact that two students who are sitting in the same class, who have access to the same materials, can come to understand a particular chemistry concept differently. Variation theory offers a theoretical framework from which to explore possible variations in experience and the resulting differences in…
Descriptors: Chemistry, College Instruction, Prior Learning, Learning Theories
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
Stes, Ann; De Maeyer, Sven; Gijbels, David; Van Petegem, Peter – British Journal of Educational Psychology, 2012
Background: Although instructional development for teachers has become an important topic in higher education, little is known about its actual impact. In particular, evidence regarding the impact of teachers' instructional development on students' perceptions of the teaching-learning environment is scarce. Aims: The impact of an instructional…
Descriptors: Evidence, Instructional Development, Higher Education, Quasiexperimental Design
Culpepper, Steven Andrew – Multivariate Behavioral Research, 2010
Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and volatility over time. This article develops…
Descriptors: Prediction, Individual Differences, Regression (Statistics), Computation
Shepler, Dustin K.; Woosley, Sherry A. – Journal of Postsecondary Education and Disability, 2012
This study sought to better understand the early integration experiences of college students with disabilities by examining two research questions: (1) How well do the variables in Tinto's (1993) classic model of student attrition predict the early integration experiences of college students with disabilities? and (2) How do students with…
Descriptors: College Students, Social Integration, Disabilities, Statistical Analysis
Council of Chief State School Officers, 2010
With this document, the Council of Chief State School Officers (CCSSO) offers for public dialogue and comment a set of model core teaching standards that outline what teachers should know and be able to do to help all students reach the goal of being college- and career-ready in today's world. These standards are an update of the 1992 Interstate…
Descriptors: Educational Resources, State Standards, Instruction, Models
Feng, Mingyu; Beck, Joseph – International Working Group on Educational Data Mining, 2009
Representing domain knowledge is important for constructing educational software, and automated approaches have been proposed to construct and refine such models. In this paper, instead of applying automated and computationally intensive approaches, we simply start with existing hand-constructed transfer models at various levels of granularity and…
Descriptors: Data Analysis, Models, Transfer of Training, Intelligent Tutoring Systems
Myers, Sonya M.; Pianta, Robert C. – Journal of Clinical Child and Adolescent Psychology, 2008
Understanding factors associated with children's early behavioral difficulties is of vital importance to children's school success, and to the prevention of future behavior problems. Although biological factors can influence the expression of certain behaviors, the probability of children exhibiting classroom behavior problems is intensified when…
Descriptors: Behavior Problems, Student Behavior, Risk, Student Characteristics
Julie Cason McDonald – ProQuest LLC, 2003
Institutions of higher education face exceptional challenges in today's environment. College costs are increasing, funding is decreasing and/or limited, public confidence is diminishing, the work-place is changing, and a shrinking pool of traditional-age college students exists. This creates an environment where colleges and universities find…
Descriptors: College Freshmen, Barriers, Student Participation, Student Attitudes
Alomyan, Hesham – International Education Journal, 2004
In the past ten years the Web has attracted many educators for purposes of teaching and learning. The main advantage of the Web lies in its non-linear interaction. That is, students can have more control over their learning paths. However, this freedom of control may cause problems for some students, such as disorientation, cognitive overload and…
Descriptors: Individual Differences, Internet, Teacher Educators, Teaching Methods
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

Fujimura, Nobuyuki – Journal of Educational Psychology, 2001
One hundred forty fourth graders were asked to solve proportion problems about juice-mixing situations both before and after an intervention that used a manipulative model or other materials in three experiments. Results indicate different approaches appear to be necessary to facilitate children's proportional reasoning, depending on the reasoning…
Descriptors: Children, Fundamental Concepts, Grade 4, Individual Differences

Wilhelm, Kim Hughes – College ESL, 1996
Examines 51 language learning background features in order to describe a limited set of those features that most clearly differentiate among three learner success groups. Findings reveal that family influences, early exposure to English, and language contact opportunities are of particular importance when considering high success versus medium- or…
Descriptors: Academic Achievement, Administrator Role, English (Second Language), Family Influence
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