Digital tools in secondary chemistry education – added value or modern gimmicks?

The article addresses the challenges faced by teachers incorporating digital tools into chemistry education to prepare students for responsible participation in a digital society. Against the background of the Technology Acceptance Model (TAM), the study analyzes the value that chemistry teachers place on digital tools and examines specific factors that influence their implementation in teaching. For this purpose, we conducted and analyzed interviews with 10 secondary school chemistry teachers in Germany. The findings revealed that while subject-specific digital tools were highly valued by teachers, several barriers to their strategic integration exist, including time constraints, high workloads, failing infrastructure, lack of technical support, and a fear of change. The study concludes that subject-specific digital tools have the potential to enhance learning outcomes and recommends teacher training and further education as well as future research to focus on developing and supporting opportunities for teachers to implement subject-specific digital tools to create a more dynamic and engaging learning experiences for students.

[1]  Ingo Wagner,et al.  360° videos in education – A systematic literature review on application areas and future potentials , 2023, Educ. Inf. Technol..

[2]  Nicole Graulich,et al.  Let’s draw molecules: Students’ sequential drawing processes of resonance structures in organic chemistry , 2022, Frontiers in Education.

[3]  Ingo Wagner,et al.  Teachers’ role in digitalizing education: an umbrella review , 2022, Educational technology research and development.

[4]  V. Gialamas,et al.  The Effects of Social Desirability on Students' Self-Reports in Two Social Contexts: Lectures vs. Lectures and Lab Classes , 2022, Inf..

[5]  Joseph Njiku.  Attitude and technological pedagogical and content knowledge: The reciprocal predictors? , 2022, Journal of Research on Technology in Education.

[6]  Stephan M Levonis,et al.  Gamified Virtual Laboratory Experience for In-Person and Distance Students , 2022, Journal of Chemical Education.

[7]  Sandro Jurinovich,et al.  Digital Tool for the Analysis of UV–Vis Spectra of Olive Oils and Educational Activities with High School and Undergraduate Students , 2022, Journal of Chemical Education.

[8]  R. S. Gomes,et al.  A systematic review of augmented reality in chemistry education , 2022, Review of Education.

[9]  Claudia Bohrmann‐Linde,et al.  Teaching Photochemistry: Experimental Approaches and Digital Media , 2021, ChemPhotoChem.

[10]  C. Wecker,et al.  Jenseits von Professionswissen: Eine systematische Überblicksarbeit zu einstellungs- und motivationsbezogenen Einflussfaktoren auf die Nutzung digitaler Technologien im Unterricht , 2021, Zeitschrift für Erziehungswissenschaft.

[11]  Ingo Wagner,et al.  The unique effects of Covid-19 – A qualitative study of the factors that influence teachers’ acceptance and usage of digital tools , 2021, Education and Information Technologies.

[12]  N. Morze,et al.  Use of digital tools as a component of STEM education ecosystem , 2021, Educational Technology Quarterly.

[13]  Albert D. Ritzhaupt,et al.  The impact of teacher education courses for technology integration on pre-service teacher knowledge: A meta-analysis study , 2020, Comput. Educ..

[14]  Kristina Reiss,et al.  The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis , 2020, Comput. Educ..

[15]  I. Eilks,et al.  An Interview Study of German Teachers' Views on the Implementation of Digital Media Education by Focusing on Internet Forums in the Science Classroom. , 2019 .

[16]  Marie Lockton,et al.  Disrupting the status quo: How teachers grapple with reforms that compete with long-standing educational views , 2019, Journal of Educational Change.

[17]  Nikola Marangunic,et al.  Technology acceptance model in educational context: A systematic literature review , 2019, Br. J. Educ. Technol..

[18]  P. Mayer,et al.  Physics Teachers' Acceptance of Multimedia Applications—Adaptation of the Technology Acceptance Model to Investigate the Influence of TPACK on Physics Teachers' Acceptance Behavior of Multimedia Applications , 2019, Front. Educ..

[19]  Ronny Scherer,et al.  The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education , 2019, Comput. Educ..

[20]  I. Parchmann,et al.  Digitising Teaching and Learning – Additional Perspectives for Chemistry Education , 2018, Israel Journal of Chemistry.

[21]  Punie Yves,et al.  DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: the Conceptual Reference Model. , 2016 .

[22]  Andreas Nehring,et al.  Using ChemDuino, Excel, and PowerPoint as Tools for Real-Time Measurement Representation in Class , 2016 .

[23]  M. Saritas,et al.  Chemistry teacher candidates acceptance and opinions about virtual reality technology for molecular geometry , 2015 .

[24]  E. Bridwell-Mitchell.  Theorizing Teacher Agency and Reform , 2015 .

[25]  M. Patton.  Qualitative Research & Evaluation Methods: Integrating Theory and Practice , 2014 .

[26]  Emily B. Moore,et al.  PhET Interactive Simulations: Transformative Tools for Teaching Chemistry , 2014 .

[27]  Loretta L. Jones.  How Multimedia-Based Learning and Molecular Visualization Change the Landscape of Chemical Education Research , 2013 .

[28]  Chin-Chung Tsai,et al.  A Review of Technological Pedagogical Content Knowledge , 2013, J. Educ. Technol. Soc..

[29]  Diana Libman,et al.  Chemistry on the Go: Review of Chemistry Apps on Smartphones , 2013 .

[30]  Johan van Braak,et al.  Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence , 2012, Comput. Educ..

[31]  Avi Hofstein,et al.  Enhancing students' understanding of the concept of chemical bonding by using activities provided on an interactive website , 2009 .

[32]  S. Petrina,et al.  Digital Natives, Digital Immigrants: An Analysis of Age and Ict Competency in Teacher Education , 2008 .

[33]  N. Denzin,et al.  The SAGE handbook of qualitative research , 2005 .

[34]  Geoffrey S. Hubona,et al.  The mediation of external variables in the technology acceptance model , 2006, Inf. Manag..

[35]  Matthew J. Koehler,et al.  Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge , 2006, Teachers College Record: The Voice of Scholarship in Education.

[36]  Kenneth A. Kozar,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[37]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[38]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[39]  C. Reiners.  Chemie vermitteln , 2022 .

[40]  Ioanna Bellou,et al.  Digital Learning Technologies in Chemistry Education: A Review , 2018 .

[41]  W. Wagner,et al.  Klassische und digitale Medien im Chemieunterricht , 2018 .

[42]  Tenzin Doleck,et al.  Investigating the predictive power of TAM: A case study of CEGEP students’ intentions to use online learning technologies , 2017, Education and Information Technologies.

[43]  Florian Bresler,et al.  Reflective professional development , 2016 .

[44]  T. J. Kennedy,et al.  Engaging Students In STEM Education , 2014 .

[45]  Philipp Mayring.  Qualitative Inhaltsanalyse : Grundlagen und Techniken , 2003 .

[46]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .