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Showing 1 to 15 of 19 results Save | Export
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Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
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Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
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Kucuk, Sevda – Journal of Technology and Teacher Education, 2018
This research investigated pre-service teachers' motivation, learning strategies, and engagement in a situated learning based educational technology course. In this study, correlational research design was used. The sample of this study was 65 second year science education pre-service teachers. The data were collected through two questionnaires.…
Descriptors: Preservice Teachers, Technological Literacy, Learning Strategies, Predictor Variables
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Lange, Chris; Costley, Jamie – International Review of Research in Open and Distributed Learning, 2017
Online instructors need to avoid unclear and confusing explanations of content, which can reduce the quality of learning. Extraneous load is reflective of poor instruction, in that it directs student effort towards processing information that does not contribute to learning. However, students may be able to manage poor instruction through effort…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Student Surveys
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Lambert, Judy – Technology, Instruction, Cognition and Learning, 2017
Motivation and self-regulation are significant concerns in learning environments that include mechanics of gamification and self-pacing such as in quest-based learning (QBL). QBL is a gamified learning environment designed around quest-like activities, self-pacing, and an external reward system that was offered in an introductory educational…
Descriptors: Educational Environment, Correlation, Student Motivation, Self Management
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Costley, Jamie; Lange, Christopher – International Review of Research in Open and Distributed Learning, 2018
Semi-formal learning is used to describe learning that is directed towards the goals of a formal learning institution but outside of the learning structure of a specific class. Students studying online may form semi-formal groups to increase their knowledge of the content by interacting with other learners taking the same class. This study of…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, College Students
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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Du, Jianxia; Xu, Jianzhong; Fan, Xitao – Technology, Pedagogy and Education, 2015
This study examined predictive models for students' help seeking in the context of online collaborative groupwork. Results from multilevel analysis revealed that most of the variance in help seeking was at the individual student level, and multiple variables at the individual level were predictive of help-seeking behaviour. Help seeking was…
Descriptors: Help Seeking, Cooperative Learning, Electronic Learning, Group Activities
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Reed, Phil; Reay, Emma – Higher Education: The International Journal of Higher Education Research, 2015
This study explored the relationship between problematic levels of Internet use and motivation to study in a university sample. One hundred and sixty-two participants were recruited online and completed four questionnaires: Internet Addiction Test, Hospital Anxiety and Depression Scale, Emotional-Social Loneliness Scale, and the Motivated…
Descriptors: College Students, Internet, Student Motivation, Learning Strategies
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Zogheib, Salah – Journal of Educational Technology Systems, 2014
As the majority of educational research has focused on preservice teachers' computer use for "educational purposes," the question remains: Do preservice teachers use computer technology for daily life activities and encounters? And do preservice teachers' personality traits and motivational beliefs related to computer training provided…
Descriptors: Preservice Teachers, Computer Use, Computer Uses in Education, Educational Technology
Wintling, Cheral Ann – ProQuest LLC, 2012
Learner motivational constructs of self-efficacy, self-regulation, and goal orientation in predicting successful student performance in online courses were explored. Thirty-three undergraduate students from the online courses Introduction to Educational Technology and Introduction to Education completed sections of the Motivated Strategies for…
Descriptors: Online Courses, Academic Achievement, Prediction, Correlation
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Juarez-Collazo, Norma A.; Elen, Jan; Clarebout, Geraldine – Turkish Online Journal of Educational Technology - TOJET, 2013
It is still unclear on what and how tool and learner characteristics influence tool use and consequently performance in computer-based learning environments (CBLEs). This study examines the relationships between tool-related characteristics (tool presentation: non-/embedded tool and instructional cues: non-/explained tool functionality) and…
Descriptors: Student Characteristics, Computer Uses in Education, Correlation, Self Efficacy
Chapman, Debra Laier – ProQuest LLC, 2013
Advances in technology and changes in educational strategies have resulted in the integration of technology into the classroom. Multimedia instructional tools (MMIT) have been identified as a way to provide student-centered active-learning instructional material to students. MMITs are common in introductory computer applications courses based on…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Introductory Courses
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Joo, Young Ju; Lim, Kyu Yon; Kim, Su Mi – Educational Technology & Society, 2012
The primary objective of this study was to investigate the determinants of learning flow and achievement in corporate online training. Self-efficacy, intrinsic value, and test anxiety were selected as learners' motivational factors, while perceived usefulness and ease of use were also selected as learning environmental factors. Learning flow was…
Descriptors: Courseware, Foreign Countries, Academic Achievement, Self Efficacy
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Amelink, Catherine T.; Scales, Glenda; Tront, Joseph G. – Advances in Engineering Education, 2012
Pedagogical approaches that incorporate learning technologies into lessons and coursework have had promising results in relation to students' motivation to learn. Tablet PCs have been identified as one form of instructional technology that can facilitate learning among engineering undergraduates since this medium allows for drawing on the computer…
Descriptors: Handheld Devices, Technology Uses in Education, Educational Technology, Engineering Education
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