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Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2
Online Information Review ( IF 3.1 ) Pub Date : 2021-05-13 , DOI: 10.1108/oir-01-2021-0017
Dan-Andrei Sitar-Taut , Daniel Mican

Purpose

This paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the extended unified theory of acceptance and use of technology (UTAUT2), a new comprehensive model, SD-UTAUT (social distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention (BI) and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators.

Design/methodology/approach

The paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling (PLS-SEM).

Findings

SD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between performance expectancy (PE) and HM. IQ affected LV the most, since HM the behavioral use (BU). HM impacts the use behavior (UB) more than LV, but habit (HT) affects it the most.

Research limitations/implications

Because of the pandemic context, output may lack generalizability and reproducibility.

Practical implications

To improve usage, staff must provide better support, course creators emphasize the objectives and competencies and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the LV through interesting and interactive content, like incorporating gamification.

Originality/value

The model set-up and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces the student's grade point average (GPA) as a moderator.

Peer review

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-01-2021-0017



中文翻译:

移动学习在社会疏远情况下在高等教育中的接受和使用:UTAUT2 的扩展和定制

目的

本文调查了现有学生对移动或移动学习的接受和使用程度是否可能面临由 SARS-CoV-2 决定的在线转变。基于技术接受和使用的扩展统一理论(UTAUT2),开发了一个新的综合模型 SD-UTAUT(社会距离-UTAUT),以更好地理解原始构念之间的关系,加上个人创新(PI)和信息质量(IQ)。它通过检查重估的享乐动机 (HM) 和学习价值 (LV) 重要性作为中介的影响来确定影响行为意图 (BI) 和使用的关键因素。

设计/方法/方法

该论文选择了一项涉及 311 名学习者的探索性研究,使用偏最小二乘结构方程模型 (PLS-SEM)。

发现

SD-UTAUT 可以成为高等教育中一种新的移动学习模式。它具有很高的预测能力,并证实了 16 个假设中的 15 个。最有力的关系是绩效预期 (PE) 和 HM 之间的关系。IQ 对 LV 的影响最大,因为 HM 是行为使用 (BU)。HM 对使用行为 (UB) 的影响大于 LV,但习惯 (HT) 对其影响最大。

研究限制/影响

由于大流行的背景,输出可能缺乏普遍性和可重复性。

实际影响

为了提高使用率,员工必须提供更好的支持,课程创建者强调目标和能力,开发者整合创新。移动学习使用的乐趣和乐趣可以通过有趣和互动的内容来刺激 LV,比如融入游戏化。

原创性/价值

模型设置和环境以前是未知的。SD-UTAUT 确认了十个新假设,并介绍了学生的平均绩点 (GPA) 作为主持人。

同行评审

本文的同行评审历史可在 https://publons.com/publon/10.1108/OIR-01-2021-0017 获得

更新日期:2021-05-13
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