Innovation in Teaching Science and Student Learning Analytics

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 14288

Special Issue Editors


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Guest Editor
Department of Physics and Chemistry, University of Palermo, 90128 Palermo, Italy
Interests: physics education; physics laboratory in education; quantitative analysis methods; STEM teacher education

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Guest Editor
Department of Physics and Chemistry, University of Palermo, 90128 Palermo, Italy
Interests: physics education; quantitative analysis methods; modelling and computer simulations in education

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Guest Editor
School of Physical Sciences & CASTeL, Dublin City University, Dubin 9, Ireland
Interests: physics education; integrated stem learning; STEM teacher education

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Guest Editor
Department of Physics “E. Pancini”, University of Naples “Federico II”, 80126 Naples, Italy
Interests: physics education; quantitative analysis methods; attitudes towards physics; student engagement; teacher education

Special Issue Information

Dear Colleagues, 

Innovation in teaching has been a critical issue in Educational Research for many years. From the acknowledgement—dating to the year 1950—that learning can be greatly innovated and improved by taking into account the relevance of understanding the learners’ mental processes, conceptual change, common-sense ideas, etc., the idea of proposing innovation in teaching, and testing its efficacy, has gained an increasing amount of support in the research community. 

Many proposals of innovation in education have been made in recent years, mainly involving methodologies and teaching techniques that may be able to improve learning, while also taking into account the idea of sustainability in education. Below are some important examples:

  • The support for the proper use of modern technologies (real-time laboratory, computer-assisted modelling environments, use of sensors in smartphones, etc.) in education, which can maintain the interest of students and favour conceptual understanding.
  • The need to actively involve learners in their learning processes to promote the effective, authentic and durable acquisition of concepts and skills that the learner can actually use in real life. The idea of active learning, initially proposed by Reginald W. Revans in 1982, is today widely adopted by many educational communities and has been implemented in different disciplinary fields as specific teaching/learning approaches and methodologies. Some examples are the learning approaches known as “collaborative/cooperative learning”, “problem/project-based learning”, “flipped classroom”, and “inquiry-based science education”.
  • The idea of Responsible Research and Innovation (e.g., von Schomberg, 2013), an approach to teaching and learning that involves students in specific themes, making them aware of potential implications and societal expectations with regard to innovation, with the aim to foster the design of inclusive and sustainable learning related to research.

Many research studies generally focus on the issues and implications related to the adoption of innovation in education (e.g., Hariri and Roberts, 2015; Zhu and Engels, 2014), and on the identification of the implications of innovation in terms of teaching and proper technology use (e.g., Marzilli et al, 2014;  Smith, 2012; Parker, et al., 2008; Ajayi, 2009). However, much is also to be said about the processes that can help improve learning outcomes related to innovation in teaching. Therefore, a proper discussion about innovation in teaching must be paired with a focus on student learning analytics, with the aim to provide information that can define the effectiveness of innovation, and ultimately improve teaching and learning outcomes.

In this issue, both the aspects of innovation in teaching and student learning analytics, with reference to how data about learners and their environments are collected and analysed for the purpose of understanding students’ learning and how they learn from proposed innovation in teaching, will be explored and discussed, with particular attention to STEM disciplines.

Prof. Dr. Claudio Fazio
Dr. Onofrio Rosario Battaglia
Prof. Dr. Eilish McLoughlin
Prof. Dr. Italo Testa
Guest Editors

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Keywords

  • innovation in teaching
  • active learning
  • teaching and learning science
  • student learning analytics
  • quantitative methods
  • qualitative methods

Published Papers (7 papers)

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Research

16 pages, 1562 KiB  
Article
Outcomes of a Teaching Learning Sequence on Modelling Surface Phenomena in Liquids
by Onofrio Rosario Battaglia, Aurelio Agliolo Gallitto, Giulia Termini and Claudio Fazio
Educ. Sci. 2023, 13(4), 425; https://doi.org/10.3390/educsci13040425 - 21 Apr 2023
Cited by 3 | Viewed by 1017
Abstract
In this paper we discuss the effects of modelling and computer simulation activities in promoting student use of lines of reasoning useful to explain proposed or observed situations. The activities are part of a structured Teaching/Learning Sequence on surface phenomena in liquids. We [...] Read more.
In this paper we discuss the effects of modelling and computer simulation activities in promoting student use of lines of reasoning useful to explain proposed or observed situations. The activities are part of a structured Teaching/Learning Sequence on surface phenomena in liquids. We outline a model of liquid based on a mesoscopic approach, examples of computer simulations students can use during the activities, and we describe the Teaching/Learning Sequence. During the pedagogical activities, students can simulate the liquid behaviour by controlling many simulation parameters, such as the interaction intensity among liquid and solid particles. The results of the analysis of student answers to a questionnaire before and after instruction, and of other qualitative data, show that these activities can help the students to think in terms of “mechanisms of functioning”. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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10 pages, 710 KiB  
Article
Effectiveness of a Laboratory Course with Arduino and Smartphones
by Giovanni Organtini and Eugenio Tufino
Educ. Sci. 2022, 12(12), 898; https://doi.org/10.3390/educsci12120898 - 08 Dec 2022
Cited by 1 | Viewed by 1457
Abstract
Arduino and Smartphones have been used since 2021 in a class of practicals held at Sapienza Università di Roma, to train physics undergraduates in laboratory activities. This paper briefly describes the organisation of the activities and report about the results of questionnaires administered [...] Read more.
Arduino and Smartphones have been used since 2021 in a class of practicals held at Sapienza Università di Roma, to train physics undergraduates in laboratory activities. This paper briefly describes the organisation of the activities and report about the results of questionnaires administered to participating students before and after the course. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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18 pages, 4097 KiB  
Article
The Lawson’s Test for Scientific Reasoning as a Predictor for University Formative Success: A Prospective Study
by Peppino Sapia, Federica Napoli and Giacomo Bozzo
Educ. Sci. 2022, 12(11), 814; https://doi.org/10.3390/educsci12110814 - 15 Nov 2022
Cited by 1 | Viewed by 1411
Abstract
Scientific Seasoning skills are crucial, both for successful learning in STEM areas and for the development of citizenship-oriented scientific literacy. The Lawson Test for Scientific Reasoning (LTSR) has been credited in the past for predicting the formative success of university students. In this [...] Read more.
Scientific Seasoning skills are crucial, both for successful learning in STEM areas and for the development of citizenship-oriented scientific literacy. The Lawson Test for Scientific Reasoning (LTSR) has been credited in the past for predicting the formative success of university students. In this context, we conducted a prospective study on a cohort (N = 1015) of university freshmen enrolled in science or engineering bachelor’s degrees, following them over three years. The freshmen were administered LTSR at the beginning of their university careers. At the end of the regular degree path duration, their formative achievement was measured. The descriptive statistical and correlational analysis of the collected data suggest a significant predictivity of the LTSR of formative success, in particular, for the people who scored highly in the test, while a low score performance does not seem correlated to a reduced formative success. Differentiated correlations are observed for the five conceptual dimensions that were explored by LTSR. The results presented could be useful in inspiring secondary school educational paths specifically aimed to promote students’ skills in the various conceptual dimensions of the Scientific Reasoning. Moreover, the possible predictivity for post-secondary educational success could make LTSR a useful operational tool for effective outgoing guidance actions in high schools. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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23 pages, 26550 KiB  
Article
High School Students’ Performances in Transitions between Different Representations of Linear Relationships in Mathematics and Physics
by Italo Testa and Danilo Catena
Educ. Sci. 2022, 12(11), 776; https://doi.org/10.3390/educsci12110776 - 01 Nov 2022
Cited by 1 | Viewed by 1159
Abstract
This study involved 643 high school students to assess their performance in using different representations of linear functions—graphs, tables, and algebraic relationships—in mathematics and kinematics. The results show that students encounter greater difficulties when they have to interpret representations involving algebraic relations in [...] Read more.
This study involved 643 high school students to assess their performance in using different representations of linear functions—graphs, tables, and algebraic relationships—in mathematics and kinematics. The results show that students encounter greater difficulties when they have to interpret representations involving algebraic relations in mathematics. Furthermore, it is shown how the ability to switch from one type of representation to another is influenced by spatial reasoning skills, orientation toward physics, and self-confidence in the field of mathematics and physics. Implications for teaching kinematics and linear functions are briefly discussed. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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15 pages, 2695 KiB  
Article
Guiding Students towards an Understanding of Climate Change through a Teaching–Learning Sequence
by Stefano Toffaletti, Marco Di Mauro, Tommaso Rosi, Massimiliano Malgieri and Pasquale Onorato
Educ. Sci. 2022, 12(11), 759; https://doi.org/10.3390/educsci12110759 - 28 Oct 2022
Cited by 1 | Viewed by 1370
Abstract
In this paper, we put forward a proposal for the design and the evaluation of teaching–learning sequences (TLSs) on the greenhouse effect (GHE), relying on the educational reconstruction model (MER). The first design, which starts from a critical analysis of textbook treatments of [...] Read more.
In this paper, we put forward a proposal for the design and the evaluation of teaching–learning sequences (TLSs) on the greenhouse effect (GHE), relying on the educational reconstruction model (MER). The first design, which starts from a critical analysis of textbook treatments of the GHE, is followed by a cyclic, recursive process, which consists of theoretical reflection, conceptual analysis, design, and test of a sequence. At each iteration, the analysis of the students’ learning progression provided relevant information for addressing the persistent hurdles and misunderstandings that affect it. Our findings show how design choices can support the learning of the GHE, leading to the formulation of design principles that help foster understanding. The iterative approach strongly improved the design and evaluation and allowed for a significant refinement of the TLSs. The implementation and evaluation process, which went on from 2017 to 2021, involved undergraduate students attending a course on “experimental physics laboratory” at the University of Trento in those years. The results indicate that, in the end, students can reach an effective understanding of the physical grounds of the GHE. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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16 pages, 1648 KiB  
Article
Methods of Current Knowledge Teaching on the Cybersecurity Example
by Elena Nyemkova, Connie Justice, Solomiia Liaskovska and Yuriy Lakh
Educ. Sci. 2022, 12(11), 732; https://doi.org/10.3390/educsci12110732 - 22 Oct 2022
Cited by 1 | Viewed by 1574
Abstract
Teaching of modern cybersecurity specialists should be up to date and use the newest methods and methodologies in universities as the IT industry is rapidly growing and constantly changing. A good idea is to use methods of management in IT companies as methods [...] Read more.
Teaching of modern cybersecurity specialists should be up to date and use the newest methods and methodologies in universities as the IT industry is rapidly growing and constantly changing. A good idea is to use methods of management in IT companies as methods for current knowledge teaching of university students. It is also worth engaging students not only in educational international projects but the research projects as well. This work analyzes the method for teaching students, and the Scrum methodology was selected and implemented for educational and research projects. Students participated in both projects, however, Scrum models should be different for them and this is illustrated in the paper. The visualization of collected statistical data of the performed educational project illustrated distributions of students by specialization and by marks. The distributions by marks showed that using the Scrum model for the teaching course significantly increases the marks compared with the average level marks of the students in their specializations. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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21 pages, 1853 KiB  
Article
Active Learning in STEM Education with Regard to the Development of Inquiry Skills
by Zuzana Ješková, Stanislav Lukáč, Ľubomír Šnajder, Ján Guniš, Daniel Klein and Marián Kireš
Educ. Sci. 2022, 12(10), 686; https://doi.org/10.3390/educsci12100686 - 09 Oct 2022
Cited by 9 | Viewed by 5214
Abstract
Active learning, represented by inquiry-based science education (IBSE) strategies, is considered essential for students to develop skills and knowledge to prepare for the challenges of the 21st century world. The success of IBSE, and the resulting development of inquiry skills in particular, can [...] Read more.
Active learning, represented by inquiry-based science education (IBSE) strategies, is considered essential for students to develop skills and knowledge to prepare for the challenges of the 21st century world. The success of IBSE, and the resulting development of inquiry skills in particular, can be enhanced by various factors. This study is focused on the synergetic effect of the implementation of IBSE through well-designed inquiry activities across STEM-related disciplines, enhanced by digital technologies and formative assessment tools, delivered by teachers educated in this field. The corresponding research based on a quasi-experimental design evaluated the effect on the development of inquiry skills that were identified before and after a period of consistent implementation of IBSE, using a written test of inquiry skills as the main research instrument. The research findings on the sample of 2307 upper secondary school students confirmed a low initial level of inquiry skills, however a statistically significant improvement in students’ inquiry skills with medium size effect was identified. The detailed analysis shows the largest impact in the skill of determination of accuracy and statistically significant differences between genders without practical importance, however no difference was identified with regard to the number of inquiry activities undertaken. Full article
(This article belongs to the Special Issue Innovation in Teaching Science and Student Learning Analytics)
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