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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Aubrey, Scott; King, Jim; Almukhaild, Haydab – RELC Journal: A Journal of Language Teaching and Research, 2022
Learner engagement is crucial for ensuring the quality of learning experiences, and yet the study of 'task engagement' has received relatively little empirical attention in the language education domain. This article reports on a study exploring the factors contributing to learners' engagement and disengagement during task performance in an…
Descriptors: Learner Engagement, Time on Task, English (Second Language), College Students
Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
Kononova, Anastasia G.; Yuan, Shupei – Journalism and Mass Communication Educator, 2017
A survey (N = 524) examined how frequently college students engage in multitasking with social media, texting/instant messaging (IM), and music while studying/working and what motivates them to multitask with each medium. Four out of five participants multitasked with Facebook and texting/IM, and two out of three multitasked with music. Habit was…
Descriptors: College Students, Task Analysis, Student Motivation, Learning Motivation
Cennamo, Katherine; Braunlich, Elizabeth – 1996
According to Keller's Model of Motivation, one technique for increasing learners' motivation, and thus their mental effort, involves increasing the personal relevance of the material. When instruction is perceived as relevant, learners perceive that important personal needs are being met by the learning situation. The purpose of this study was to…
Descriptors: College Students, Desktop Publishing, Higher Education, Instructional Materials
Doran, Martha S.; Klein, James D. – 1996
The purpose of this study was to investigate the effects of using individual, cooperative-dyad, and collaborative-dyad learning structures with a computer simulation. College students implemented and experienced one of the three learning structures while using a computer simulation designed to teach the technical and procedural aspects of…
Descriptors: Academic Achievement, Accounting, College Students, Computer Assisted Instruction
Rha, Ilju; Williams, Michael D.; Heo, Gyun – Asia Pacific Education Review, 2005
The purpose of this study is to explore learner engagement and motivation related to "Flow" particularly in WBI settings. In the "Flow" state people are absorbed in their activities while irrelevant thoughts and perceptions are screened out. In this article, we attempted to identify some of the critical elements of learner…
Descriptors: Web Based Instruction, Time on Task, Student Motivation, Learning Motivation

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