University Students’ Understanding of Chemical Thermodynamics

心理学 数学教育 化学 医学教育 医学
作者
Bellam Sreenivasulu,R. Subramaniam
出处
期刊:International Journal of Science Education [Taylor & Francis]
卷期号:35 (4): 601-635 被引量:75
标识
DOI:10.1080/09500693.2012.683460
摘要

Abstract This study explored undergraduate students’ understanding of the chemistry topic of thermodynamics using a 4-tier diagnostic instrument, comprising 30 questions, and follow-up interviews. An additional objective of the study was to assess the utility of the 4-tier instrument for use in studies on alternative conceptions (ACs) as there has been no study done on it since its introduction in the literature in the year 2010. A total of 296 students majoring in Chemistry at a university in Singapore participated in this study—88 students in the preliminary study, 102 students in the pilot study and 106 students in the main study. This article reports on the results obtained with students in the main study; their age ranges from 20 to 22 years. Comprising answer and reason tiers plus associated confidence ratings, the 4-tier diagnostic instrument enabled the eliciting of 34 ACs harbored by the undergraduates as well as the strengths of these ACs. Of concern to note is that even for questions which were answered correctly, the mean confidence was not very high. The results of this study reiterate the point that thermodynamics is a topic fraught with conceptual difficulties and ACs. Based on the results from this study, the potential of the 4-tier test for AC studies is further underscored. Some implications of the study are discussed. Keywords: ThermodynamicsAlternative conceptionsFour-tier diagnostic instrumentConfidence ratingsUniversity students Acknowledgements We acknowledge financial support in the form of a Teaching Enhancement Grant (C-143-000-019-001) from the Center for Development of Teaching and Learning, National University of Singapore, for this study. We are also thankful to Honours students, Lim Ting Liang and Chin Chia Keat, for their assistance in this study. We thank the two reviewers and the editor, Dr Rosaria Justi, for their careful reading of our manuscript and for offering several constructive and valuable comments that have helped us to significantly improve our article.
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
DY发布了新的文献求助10
1秒前
raemourn完成签到,获得积分10
1秒前
Dolores完成签到,获得积分10
2秒前
tomato完成签到,获得积分10
2秒前
称心的绿柏完成签到,获得积分10
2秒前
芋头完成签到,获得积分10
3秒前
余若翠发布了新的文献求助10
4秒前
聪明元蝶完成签到,获得积分10
4秒前
领导范儿应助Senna采纳,获得10
4秒前
4秒前
4秒前
5秒前
mumu完成签到,获得积分10
5秒前
111发布了新的文献求助10
5秒前
正直的半梅完成签到 ,获得积分10
6秒前
7秒前
GTthree完成签到,获得积分10
7秒前
8秒前
9秒前
9秒前
Hello应助tomato采纳,获得10
9秒前
史昊昊发布了新的文献求助10
10秒前
狗咚嘻完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
11秒前
Alex完成签到,获得积分10
11秒前
xzh完成签到,获得积分10
12秒前
12秒前
柠檬加冰发布了新的文献求助10
13秒前
14秒前
轻语发布了新的文献求助10
14秒前
淡然冬灵应助Declan采纳,获得100
14秒前
GTthree完成签到,获得积分10
14秒前
酷波er应助DY采纳,获得10
15秒前
方百招发布了新的文献求助10
15秒前
白云发布了新的文献求助10
15秒前
小王小王发布了新的文献求助10
16秒前
烤肠发布了新的文献求助10
16秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
Interpretability and Explainability in AI Using Python 200
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 3835165
求助须知:如何正确求助?哪些是违规求助? 3377669
关于积分的说明 10499742
捐赠科研通 3097244
什么是DOI,文献DOI怎么找? 1705614
邀请新用户注册赠送积分活动 820629
科研通“疑难数据库(出版商)”最低求助积分说明 772149