IR Cards: Inquiry-Based Introduction to Infrared Spectroscopy

Bennett, Jacqueline; Forster, Tabetha

doi:10.1021/ed800009k

Cited by 14 publications

(18 citation statements)

References 11 publications

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“…Therefore, IBL is one of the innovative strategies that can be effectively implemented in the course of Organic Structure Determination especially for the NMR spectroscopy topic. Such result is in good agreement with [17], they stated that inquiry-based instruction for IR spectroscopy learning is better than the traditional teaching. Also, the implementation of IBL strategy for various topics or subjects is needed in order to create a different learning atmosphere in higher education level.…”

Section: Advances In Social Science Education and Humanities Researcsupporting

confidence: 86%

The Effects of Inquiry-Based Learning Strategy on Chemistry Undergraduate Students' Conceptual Understanding and Science Process Skill Achievement in NMR Spectroscopy

Sutrisno¹,

Retnosari²,

Widarti³

2018

Proceedings of the International Conference on Learning Innovation (ICLI 2017)

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Abstract-The purpose of this research was to investigate the effect of IBL strategy on chemistry undergraduate students' conceptual understanding and science process skill achievement in NMR Spectroscopy. This research involved two classes of Determination of Organic Structure course. One of them was chosen randomly as the control group while the other was selected as the experimental group. The experimental group was taught by the IBL strategy, whereas the control group was only taught by mean of the traditional lecture or Non-IBL strategy. Conceptual Understanding and Science Process Skill Tests were given to both groups as pre-test and post-test. The results presented that the IBL strategy has impact on chemistry undergraduate students' conceptual understanding and science process skill achievement. The evaluation results of the experimental group's conceptual understanding and science process skill test were better than those of the control group. The findings confirm that IBL strategy can enhance student's conceptual understanding and science process skill.

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Section: Advances In Social Science Education and Humanities Researcsupporting

confidence: 86%

The Effects of Inquiry-Based Learning Strategy on Chemistry Undergraduate Students' Conceptual Understanding and Science Process Skill Achievement in NMR Spectroscopy

Sutrisno¹,

Retnosari²,

Widarti³

2018

Proceedings of the International Conference on Learning Innovation (ICLI 2017)

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“…1 Educators have integrated apps in their classrooms to provide an active learning environment. 2−5 Karatjas reported using the iSpartan app in his course to introduce 1 H NMR, 13 C NMR, and IR spectroscopy to organic-chemistry students. 6 Although students benefit from these demonstrations, an inquiry-based approach would allow students to investigate spectral data independently and develop their own conclusions.…”

mentioning

confidence: 99%

Inquiry-Based IR-Spectroscopy Activity Using iSpartan or Spartan for Introductory-Organic-Chemistry Students

Balija

Morsch

2019

J. Chem. Educ.

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An inquiry-based activity is described in which organic-chemistry students explore how IR radiation impacts functional-group-bond movements. Through the iSpartan and Spartan apps, students calculate the IR spectra for select organic compounds and manipulate the resulting 3D models and IR spectra to visualize bond vibrations. After developing an IR-frequency chart on the basis of these observations, the students analyze spectral data for the presence of functional groups. The results showed that students successfully prepared the chart and analyzed IR-spectral data without previous experience with IR spectroscopy or instructor intervention. Student responses to the inquiry-based learning activity were favorable. This activity was implemented at three academic institutions over a 4 year period and is an attractive approach for students to explore IR spectroscopy in a nonthreatening environment.

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“…(Opportunities to incorporate vibrational spectroscopy into the general chemistry curriculum have also been discussed in this Journal. − ) The first introduction to vibrational spectroscopy is often in the context of qualitative analysis, in which students learn to interpret vibrational spectra by looking for the spectral signatures of specific functional groups. A variety of approaches have been discussed for improving student’s ability to learn vibrational spectral characteristics such as inquiry-based card games, physical models, and virtual reality …”

Section: Introductionmentioning

confidence: 99%

“…1−3 ) The first introduction to vibrational spectroscopy is often in the context of qualitative analysis, in which students learn to interpret vibrational spectra by looking for the spectral signatures of specific functional groups. A variety of approaches have been discussed for improving student's ability to learn vibrational spectral characteristics such as inquiry-based card games, 4 physical models, 5 and virtual reality. 6 The past decade has witnessed a rapid growth of machine learning (ML) for a variety of applications such as image classification and machine translation.…”

Section: ■ Introductionmentioning

confidence: 99%

Machine Learning for Functional Group Identification in Vibrational Spectroscopy: A Pedagogical Lab for Undergraduate Chemistry Students

et al. 2021

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Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces undergraduate physical chemistry students to ML in the context of vibrational spectroscopy. In the first part of the activity, students use ML binary classification algorithms to distinguish between carbonyl-containing and noncarbonyl-containing molecules on the basis of their infrared absorption spectra. In the second part of the activity, students test modifications to this basic analysis including different analysis parameters, different ML algorithms, and different test data sets. In a final extension of the activity, students implement a multiclass classification to predict whether carbonyl-containing molecules contain a ketone, a carboxylic acid, or another carbonyl group. This activity is designed to introduce students both to the basic workflow of a ML classification analysis and to some of the ways in which ML analyses can fail. We provide a comprehensive handout for the activity, including theoretical background and a detailed protocol, as well as data sets and code to implement the exercise in Python or Mathematica. This activity is designed as a standalone exercise for physical chemistry lab classes but can also be integrated with courses or modules on vibrational spectroscopy and computational chemistry. On the basis of student surveys, we conclude that this activity was successful in introducing students to applications of ML in chemistry.

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IR Cards: Inquiry-Based Introduction to Infrared Spectroscopy

Cited by 14 publications

References 11 publications

The Effects of Inquiry-Based Learning Strategy on Chemistry Undergraduate Students' Conceptual Understanding and Science Process Skill Achievement in NMR Spectroscopy

The Effects of Inquiry-Based Learning Strategy on Chemistry Undergraduate Students' Conceptual Understanding and Science Process Skill Achievement in NMR Spectroscopy

Inquiry-Based IR-Spectroscopy Activity Using iSpartan or Spartan for Introductory-Organic-Chemistry Students

Machine Learning for Functional Group Identification in Vibrational Spectroscopy: A Pedagogical Lab for Undergraduate Chemistry Students

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