How the support that students receive during online learning influences their academic performance

作者
Juan José García Machado,Minerva Martínez Ávila,Nicoleta Dospinescu,Octavian Dospinescu
出处
期刊:Education and Information Technologies [Springer Science+Business Media]
卷期号:29 (15): 20005-20029 被引量:23
标识
DOI:10.1007/s10639-024-12639-6
摘要

Abstract In recent years educational institutions are increasingly using online learning and because of this trend it is necessary to investigate its impact on student academic performance. Although this topic has been addressed in different educational fields before, there is an objective justification for our approach. Thus, the reasoning behind this particular research is the fact that recent findings have shown that the academic performance of students using online education is affected by a series of motivating factors which can have an impact on their performance. The main goal of this paper is to highlight and analyze the mediating effect of intrinsic student motivation and student academic engagement and how they affect the relationship between the range of support, which students receive during their online learning and thus their academic performance. This study was conducted in two higher educational institutions in Mexico and Romania, with a sample of 822 students. The data was analyzed using a second generational PLS-SEM technique. The results confirm that the support students enjoy during online learning has no direct impact on their academic performance, unless it is fully mediated by their own intrinsic motivation and academic engagement. The influence of Gender was also analyzed, but it was not found to be a determining factor of academic performance in both higher educational institutions. These findings not only have theoretical and practical implications for students, teachers and education authorities, they also help us to broaden the field of knowledge in the e-learning environment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
luohongmei给luohongmei的求助进行了留言
刚刚
华仔的应助被candyTT采纳,获得10
刚刚
小马甲的应助被Lqt采纳,获得10
1秒前
1秒前
1秒前
mariawang发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
科研通AI6.4的应助被刘厚麟采纳,获得10
3秒前
4秒前
研友_LkD29n发布了新的文献求助10
4秒前
雨中行远完成签到,获得积分10
5秒前
5秒前
Hello的应助被FWY采纳,获得10
6秒前
6秒前
6秒前
苦行僧发布了新的文献求助10
7秒前
壮观笑寒发布了新的文献求助10
7秒前
8秒前
年糕软糖发布了新的文献求助20
8秒前
9秒前
10秒前
小杨发布了新的文献求助10
10秒前
11秒前
阳光的衫发布了新的文献求助10
12秒前
陈千里发布了新的文献求助10
13秒前
candyTT发布了新的文献求助10
13秒前
14秒前
14秒前
我是老大的应助被lkll采纳,获得10
14秒前
汉堡包的应助被奋斗土豆采纳,获得10
15秒前
十一完成签到,获得积分10
15秒前
英勇的铸海完成签到,获得积分10
16秒前
饺子完成签到,获得积分10
16秒前
haiwei发布了新的文献求助10
17秒前
拼搏愚志发布了新的文献求助10
17秒前
蓝天发布了新的文献求助10
17秒前
十二发布了新的文献求助20
18秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Production Logging: Theoretical and Interpretive Elements 400
English Longitudinal Study of Ageing: Waves 0-11, 1998-2024 300
2026-2030年中國基因檢測行業市場前瞻與未來投資戰略分析報告 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7827299
求助须知:如何正确求助?哪些是违规求助? 9352998
关于积分的说明 20570040
捐赠科研通 7420320
什么是DOI,文献DOI怎么找? 3335454
关于科研通互助平台的介绍 2480357
邀请新用户注册赠送积分活动 2355915