Effect of an AI‐based chatbot on students' learning performance in alternate reality game‐based museum learning

聊天机器人 元认知 感知 计算机科学 主动学习(机器学习) 数学教育 心理学 人工智能 认知 神经科学
作者
Hsin‐Yi Liang,Gwo‐Jen Hwang,Tien‐Yu Hsu,Jen‐Yuan Yeh
出处
期刊:British Journal of Educational Technology [Wiley]
卷期号:55 (5): 2315-2338 被引量:12
标识
DOI:10.1111/bjet.13448
摘要

Abstract Recently, alternate reality games (ARGs) have been applied in museum learning to encourage learners' active engagement through playful problem‐solving activities. However, most learners have insufficient prior knowledge and metacognitive skills to complete the learning tasks in such games. To support learning with ARGs, there is a need to provide proper feedback so that the learners are capable of self‐regulated learning and solving the problems encountered during the learning process. Considering the influences of individual differences, this research developed a chatbot as a learning partner in ARG‐based learning to support students’ learning with adaptive feedback in a museum. A quasi‐experimental study was conducted to evaluate the effectiveness with and without the proposed approach. The results showed that the AI‐based chatbot approach could significantly improve learners' metacognition awareness, emotional engagement and behavioural engagement. Besides, it is helpful to facilitate students' double‐loop learning. Practitioner notes What is already known about this topic Alternate reality games (ARGs) enable students to interact with real‐world contexts. The complexities of real contexts and ambiguities of the ARGs could frustrate students and demotivate their engagement in problem‐solving activities. Conventional corrected feedback may fail to match individual students' requirements in solving encountered problems. What this paper adds An AI‐based chatbot was designed as a smart learning partner to support the students in solving encountered problems. The experimental results showed that the proposed approach improved students' metacognitive awareness and engagement. A drawing analysis and a behaviour sequential analysis were applied to further examine the students' perceptions and behavioural patterns. Implications for practice and/or policy It is potentially worth integrating AI‐based chatbots into game‐based learning to promote students' metacognitive awareness and engagement. AI‐based chatbots provide adaptive feedback to effectively facilitate students' self‐regulated learning and double‐loop learning.
最长约 10秒,即可获得该文献文件

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
Cherry发布了新的文献求助10
1秒前
路痴完成签到,获得积分10
4秒前
7秒前
笑笑完成签到,获得积分20
9秒前
10秒前
11秒前
笑笑发布了新的文献求助10
12秒前
15秒前
imomoe完成签到,获得积分10
17秒前
18秒前
18秒前
乐乐应助greatsnow采纳,获得10
19秒前
asdf发布了新的文献求助10
20秒前
23秒前
内向绿竹发布了新的文献求助10
24秒前
24秒前
27秒前
吴可之发布了新的文献求助10
28秒前
风趣谷槐完成签到,获得积分10
28秒前
卷卷豆完成签到 ,获得积分10
29秒前
Zz发布了新的文献求助10
29秒前
顾矜应助Cherry采纳,获得10
31秒前
顺心牛排发布了新的文献求助10
33秒前
科研通AI2S应助内向绿竹采纳,获得10
35秒前
科研通AI5应助芷荷采纳,获得10
35秒前
领导范儿应助顺心牛排采纳,获得10
38秒前
冷傲迎梦发布了新的文献求助10
39秒前
小橙子完成签到 ,获得积分10
39秒前
40秒前
45秒前
45秒前
临诗发布了新的文献求助10
45秒前
Ms_Galaxea完成签到,获得积分10
48秒前
49秒前
柒柒完成签到,获得积分10
50秒前
科研通AI5应助我是楠个谁采纳,获得10
53秒前
xiaopan9083发布了新的文献求助10
55秒前
55秒前
Zz完成签到,获得积分10
57秒前
58秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778595
求助须知:如何正确求助?哪些是违规求助? 3324214
关于积分的说明 10217445
捐赠科研通 3039397
什么是DOI,文献DOI怎么找? 1668060
邀请新用户注册赠送积分活动 798494
科研通“疑难数据库(出版商)”最低求助积分说明 758385