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Kokoç, Mehmet; IIgaz, Hale; Altun, Arif – Educational Technology Research and Development, 2020
Video lectures are one of the primary learning resources embedded in e-learning environments. Many universities prepare video lectures and share them as open course materials with students. In order to make the learning process more efficient and effective, it is very important to design and personalize those learning resources for learners,…
Descriptors: Attention Control, Video Technology, Design, Lecture Method
Mythili, G. – Asian Journal of Distance Education, 2019
The main objective of the study is to identify a set of factors with regard to online training environment that may lead to increased performance and satisfaction for online trainees. Around 722 academic counselors who will join the Academic counselors training programme (ACT-Online) of IGNOU and around 20 instructors/evaluators involved in the…
Descriptors: Electronic Learning, Distance Education, Counselor Training, Counselors
Ge, Zi-Gang – Interactive Learning Environments, 2021
The present study aims to explore the impact of mismatch between learners' media preference and media assigned to them on their learning performance. The participants were 214 adult Chinese e-learners enrolled for an English course, and were assigned to 6 groups based on their media preferences and the media assigned to them. A 2 × 3…
Descriptors: Educational Media, Multimedia Materials, Learning Modalities, Cognitive Style
Asif, Muhammad; Thomas, George; Awan, Muhammad Usman; Muhammad Din, Asfa – International Journal of Educational Management, 2020
Purpose: Previous studies have mainly discussed the impact of student engagement on different facets of academic performance. Research on the approaches to promote student engagement in a classroom setting (i.e., micro-level practices) is relatively sparse. This paper provides a framework for enhancing student engagement in a university…
Descriptors: Learner Engagement, Teaching Methods, Instructional Effectiveness, Cognitive Style
Haciomeroglu, Erhan Selcuk; Haciomeroglu, Guney – International Journal of Progressive Education, 2020
The present study sought to examine mathematical performance of students with different learning preferences in traditionally taught first semester calculus as well as its relationship with learning preference, spatial ability, and verbal-logical reasoning ability. Data were collected from 86 students enrolled in two sections of first semester…
Descriptors: Mathematics Achievement, Performance Factors, Cognitive Style, Preferences
Alonso-Tapia, Jesús; Abello, Diana M.; Panadero, Ernesto – International Journal of Emotional Education, 2020
This study has a two-fold objective: First, to adapt and validate the Emotions and Motivation Self-Regulation Questionnaire (EMSR-Q) with university students in Colombia, and secondly, to verify whether the relationship model between emotional and motivational self-regulation and academic performance coincides with what was initially proposed by…
Descriptors: Emotional Response, Learning Motivation, Self Management, College Students
Frey, Regina F.; McDaniel, Mark A.; Bunce, Diane M.; Cahill, Michael J.; Perry, Martin D. – CBE - Life Sciences Education, 2020
We previously reported that students' concept-building approaches, identified a priori using a cognitive psychology laboratory task, extend to learning complex science, technology, engineering, and mathematics topics. This prior study examined student performance in both general and organic chemistry at a select research institution, after…
Descriptors: Concept Formation, Problem Solving, Active Learning, Inquiry
Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
Sabiston, David; Leung, Ambrose – Issues in Educational Research, 2020
Do students have preferred learning styles and, if so, can these preferences -- in addition to other abilities and attributes -- influence their performance in post-secondary education? There is a significant body of literature, across many disciplines, endeavouring to answer this question. In this paper, we examine a variant of this question with…
Descriptors: Cognitive Style, Preferences, Economics Education, Microeconomics
Edmonstone, John – Action Learning: Research and Practice, 2016
The paper examines the concept of negative capability as a human capacity for containment and contrasts it with well-valued positive capability as expressed through performativity in organisations and society. It identifies the problem of dispersal--the complex ways we behave in order to avoid the emotional challenges of living with uncertainty.…
Descriptors: Experiential Learning, Accountability, Performance Factors, Cognitive Style
Siddique, Ansar; Durrani, Qaiser S.; Naqvi, Husnain A. – Journal of Educational Computing Research, 2019
The falling learning outcome is one of the major challenges faced by most of the educational systems. Adaptive educational systems (AESs) are viewed as catalyst to reinforce learning. Several AESs have been developed considering only single aspect of learners, for example, learning styles. The impact of learning style-based AESs in terms of…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Style, Prior Learning
Ozturk, Tugba; Guven, Bulent – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Problem solving is not simply a process that ends when an answer is found; it is a scientific process that evolves from understanding the problem to evaluating the solution. This process is affected by several factors. Among these, one of the most substantial is belief. The purpose of this study was to evaluate the beliefs of high school students…
Descriptors: Beliefs, Student Evaluation, Problem Solving, Case Studies
Shaw, Melanie; Burrus, Scott; Ferguson, Karen – Online Journal of Distance Learning Administration, 2016
Research was conducted to explore predictors for online higher education student attrition. This research was conducted using results from the SmarterMeasure Learning Readiness Indicator to track students in their degree programs. In addition, student outreach was conducted with an experimental group of at-risk students to determine if additional…
Descriptors: Online Courses, Student Attrition, Performance Factors, Predictor Variables
Alvey, Christina; Hudson, Rick A.; Newton, Jill; Males, Lorraine M. – Issues in the Undergraduate Mathematics Preparation of School Teachers, 2016
This study analyzes the responses of 12 secondary pre-service teachers on two tasks focused on reasoning when solving linear equations. By documenting the choices PSTs made while engaging in these tasks, we gain insight into how new teachers work mathematically, reason algebraically, communicate their thinking, and make pedagogical decisions. We…
Descriptors: Preservice Teachers, Secondary School Mathematics, Algebra, Equations (Mathematics)
Mittal, Surabhi; Mehar, Mamta – Journal of Agricultural Education and Extension, 2016
Purpose: The paper analyzes factors that affect the likelihood of adoption of different agriculture-related information sources by farmers. Design/Methodology/Approach: The paper links the theoretical understanding of the existing multiple sources of information that farmers use, with the empirical model to analyze the factors that affect the…
Descriptors: Socioeconomic Influences, Adoption (Ideas), Agricultural Occupations, Multivariate Analysis