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Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing

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TLDR
Investigation of the relationship between available tools used, student motivation, participation, and performance on a final exam in an online course in economics found some support for the expected association between autonomous motivation and participation in web-videoconferences as well as between autonomous motivations and the grade on the final exam.
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This article is published in Computers in Human Behavior.The article was published on 2013-01-01 and is currently open access. It has received 210 citations till now. The article focuses on the topics: Self-determination theory.

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Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence.

TL;DR: An overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic planning is presented and thoughts on possible uncharted key questions to investigate are set.
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The impact of a flipped classroom design on learning performance in higher education

TL;DR: It is suggested that the FC setting could be a promising way of enhancing students learning performance and has significant effect on self-efficacy and intrinsic motivation as compared to Fully E-Learning.
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The impact of learning design on student behaviour, satisfaction and performance

TL;DR: The findings strongly indicate the importance of learning design in predicting and understanding Virtual Learning Environment behaviour and performance of students in blended and online environments.
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Chinese university students' acceptance of MOOCs

TL;DR: Attitude toward MOOCs and perceived behavioral control were significant determinants of intention to use them and Autonomous motivation was an antecedent for all three core constructs of the TPB, while controlled motivation acted as an antecesent only for subjective norms.
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Relationship between student profile, tool use, participation, and academic performance with the use of Augmented Reality technology for visualized architecture models

TL;DR: The objective was to assess the feasibility of using AR on mobile devices in educational environments and to investigate the relationship between the usability of the tool, student participation, and the improvement in academic performance after using AR.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
Book

Intrinsic Motivation and Self-Determination in Human Behavior

TL;DR: This chapter discusses the development of Causality Orientations Theory, a theory of personality Influences on Motivation, and its application in information-Processing Theories.
Related Papers (5)
Trending Questions (1)
How do study tools affect students' motivation to learn?

The study found that students' tool use and participation were correlated with their motivation, suggesting that the use of tools can impact students' motivation to learn.