Technological Pedagogical Content Knowledge Framework Research Articles

The Need for Development of Meaningful E-Module Teaching Materials to Optimize Mathematics Learning with a Focus on Critical Thinking Skills

This research aims to develop meaningful e-module teaching materials for Differential Equations course, with a focus on improving students' critical thinking skills. Using the Technological Pedagogical Content Knowledge (TPACK) framework, the e-module is designed to be interactive and flexible, allowing students to learn independently and in more depth. The research method involved student and lecturer needs analysis, observations, interviews, as well as a student survey to identify gaps in current learning. The results showed that the use of conventional teaching materials did not support the development of critical thinking skills. Therefore, the developed e-module includes various interactive features such as simulations, quizzes, and case studies to assist students in understanding abstract concepts in Differential Equations course. This e-module is expected to increase students' active involvement and provide a more meaningful learning experience. The novelty of this research lies in the integration of technology in a complex mathematics learning process, which has not been done much in previous studies.

Scrutinizing Indonesian pre-service teachers’ technological knowledge in utilizing AI-powered tools

Educators have widely adopted artificial intelligence (AI) as a product of technology to prepare teaching materials and enhance their understanding of technology integration in language teaching. As prospective teachers who may teach digital native students later, pre-service teachers must be more capable and knowledgeable in technologically-based pedagogy, materials, and assessment. This study aimed to explore English as a foreign language (EFL) pre-service teachers’ technological knowledge of utilizing AI-powered tools using the technological pedagogical content knowledge (TPACK) framework and investigate their strategies in the advanced of their technological knowledge. This mixed-method research design employed a five-point Likert scale questionnaire and a semi-structured interview as instruments to collect data. Fifty-five EFL pre-service teachers were purposively selected. Data from the questionnaire were analyzed statistically and descriptively, and data from interviews were analyzed thematically. The first findings of this study comprehensively revealed that EFL pre-service teachers exhibit a moderate level of proficiency in addressing technological knowledge (TK), technological pedagogical knowledge (TPK), technological content knowledge (TCK), and TPACK in utilizing AI-powered tools. Meanwhile, the second finding revealed that the participants employed four key strategies to advance their technological knowledge using AI-powered tools: engaging in TPD programs, collaborating with tech-savvy colleagues, staying informed about AI trends, and experimenting with AI-powered tools.

Integrating educational technology into Lesotho Secondary Religious Studies: A conceptual exploration of practical challenges and opportunities

The use of educational technology (Ed-tech) is becoming more prevalent in shaping teaching methods to meet the needs of modern learners. This study examines how Ed-tech is integrated into secondary Religious Studies classrooms in Lesotho, using the Technological Pedagogical Content Knowledge (TPACK) framework as a guide. By reviewing global literature, it looks at the opportunities and challenges of incorporating digital tools into Religious Studies, a subject aimed at developing social skills and moral values. Research suggests that technology can improve student engagement, critical thinking, and ethical reasoning through platforms like cloud-based learning and multimedia resources. However, Lesotho faces obstacles in implementing Ed-tech, including inadequate infrastructure, insufficient teacher training, and outdated educational policies, which leads to a digital divide, especially in rural areas with limited access to electricity and the internet. The study concludes that while Ed-tech has the potential to transform Religious Studies education, addressing these systemic barriers is crucial for effective implementation. It recommends improving technological infrastructure, providing professional development for teachers, updating curriculum policies to meet 21st-century requirements, and integrating digital literacy into the Religious Studies curriculum. Overcoming these challenges will not only bridge the digital divide but also enhance the teaching and learning of Religious Studies, equipping learners with skills to navigate the ethical and digital complexities of the modern world.

Utilizing Language-Generating Artificial Intelligence (LGAI) in Educational Planning: A Case Study

The integration of Generative AI (GenAI) tools like ChatGPT in education, while promising, remains underexplored. This study investigates the use of language-generating AI (LGAI) within K-12 instructional planning through a case study of a middle school science teacher using the Technological Pedagogical Content Knowledge (TPACK) framework. Findings reveal that effective use of LGAI involves detailed contextual input, iterative dialogue, and selective adoption of AI-generated suggestions. The teacher’s engagement with LGAI not only enhanced lesson planning efficiency but also supported adaptive teaching methods and personalized learning experiences. This integration led to improved confidence and strategic decision-making in instructional planning. The study highlights the potential of LGAI to transform educational practices and underscores the importance of professional development to equip educators with the skills necessary to harness AI technologies effectively. These insights contribute to understanding how GenAI can augment instructional design, offering a framework for integrating technological innovations into pedagogy.

Mathematics Professional Teacher Education (TPE) Participants Viewed From Technological Pedagogical Content Knowledge (TPACK)

Teachers and prospective teachers are required to carry out learning to master and continue to develop Pedagogical Content Knowledge (PCK) competencies, even now they are required to master technology and then PCK competencies are developed into Technology Pedagogical Content Knowledge (TPACK). A mathematics teacher must of course master mathematical skills because this is the main asset for teaching the material. This research aims to analyze the perceptions of in-service PPG participants regarding the professionalism of mathematics teachers based on the TPACK framework. This research is a qualitative research. The subjects of this research were 7 prospective mathematics teachers from 30 participants, where the sample was taken by sampling, namely by taking participants from vocational school teachers on the grounds that participants who taught vocational schools had challenges where the students' orientation was ready to work so they were less enthusiastic about mathematics lessons. The research data is in the form of findings from an analysis of prospective teachers' mathematical ability profiles. It is hoped that these findings can be used as a basis for further theory.

How much C is in TPACK? A systematic review on the assessment of TPACK in mathematics

AbstractTeachers need technological pedagogical content knowledge (TPACK) for teaching with technology, and its assessment is crucial for research and practice. Previous literature reviews on TPACK assessment were not specific to a content area (e.g., mathematics), although, by definition, the TPACK framework includes content-specific knowledge facets. Consequently, requirements for TPACK assessment could differ depending on the content. Further, reliable assessment of mathematics-specific TPACK depends on the quality of the test instruments used, but there is no consensus on the type of instruments used in past studies. This systematic literature review adds to existing reviews by focusing on TPACK assessment in mathematics, investigating the study characteristics, the instrument characteristics, and the operationalizations of TPACK. Regarding study characteristics, the findings reveal an increase in the number of studies conducted across various countries worldwide. As for instrument characteristics, researchers frequently used self-developed instruments to assess TPACK, often without providing information on reliability or validity measures. Regarding operationalizations, more than half of the studies used self-report scales to assess mathematics-specific TPACK, followed by observations and material analyses, while knowledge tests were hardly used. Additionally, assessments typically referred to the domain of mathematics as a whole instead of subdomains of mathematics. The results raise questions regarding the validity of the instruments and the comparability across studies.

The pedagogical insights of mathematics teachers integrating artificial intelligence in rural upper primary schools of Namibia

This paper presents a qualitative intervention study that explores the pedagogical experiences of mathematics teachers integrating Artificial Intelligence (AI) technologies into teaching mathematics in rural upper primary schools in Namibia. The Technological Pedagogical Content Knowledge (TPACK) framework, which intersects teachers’ understanding of technology integration with pedagogical techniques and subject matter knowledge, was adopted for the study. The research involved 13 mathematics teachers selected through purposive sampling. Data collection included two sharing circle discussions, lesson observations, and semi-structured interviews. A thematic analysis approach was employed to interpret the collected data. The findings reveal a diverse range of AI tools used by the selected teachers, such as Geogebra, Khan Academy, Virtual Tutors, and various problem-solving mobile applications, including Photomath, Mathway, and Microsoft Math Solver. These AI resources were noted for enhancing the visualisation of mathematical concepts, providing adaptive learning experiences, and promoting independent, paced learning that supports learners' learning styles. Teachers reported a marked improvement in learners’ comprehension and problem-solving abilities attributable to AI integration. Despite the benefits of AI in education, challenges remain, particularly in rural areas. Key issues include inadequate infrastructure, limited access to devices, and the need for ongoing teacher training in technological pedagogical content knowledge. Additionally, the lack of culturally relevant AI technologies hinders effective AI-supported learning in diverse contexts. Greater investment in localised AI educational tools is needed to achieve equitable and effective learning outcomes.

Validation of the Teachers AI-TPACK Scale for the Indian Educational Setting

Educators work in extremely dynamic and complex classroom environments where they must continuously alter and update their understanding. Specifically, possession of rich, organised, and integrated knowledge from various domains including knowledge on subject-matter, knowledge of students' thinking and learning, and, increasingly, knowledge of technology is essential. By integrating these three aspects, Mishra and Koehler developed the Technological Pedagogical and Content Knowledge (TPACK) framework in 2006 which offers a thorough and comprehensive method for incorporating technology into the education setting. On the parallel, use of information technology has rapidly increased in the field of education, especially with the introduction of Artificial Intelligence (AI). Thus, the Technological Pedagogical Content Knowledge (TPACK) framework needed to be updated to reflect the growing incorporation of AI into educational standards. Hence, investigator Ning and colleagues in the year 2024 built a framework for incorporating AI into TPACK and developed a robust scale titled Teachers AI-TPACK Scale that measures the teachers competencies in incorporating AI into their teaching environment. The objective of this work was to test the validity of the scale in the Indian educational setting. With a sample size of 660 teaching faculties in universities and colleges across India, this study followed the routine stages such as construct validity analysis in the form of Exploratory Factor Analysis using SPSS V27, followed by Confirmatory Factor Analysis in AMOS software. The original scale with 39 items across seven dimensions were retained throughout the validation process and resulted in a high reliability score of 0.907. This provides compelling evidence for the validity and reliability of the teachers AI-TPACK scale in measuring Indian educators' knowledge and skills at the juncture of AI with pedagogy, technology and content. This is currently the only scale available to measure this construct in India.

A Survey Study on TPACK Framework for Normal Students of English Major in Ethnic Colleges and Universities: Empirical Analysis Based on Structural Equation Modeling

With the continuous advancement of education informatization, Technological Pedagogical Content Knowledge (TPACK), as a new theoretical framework, provides a novel method for measuring teachers’ informatization teaching ability. This study takes normal students of English majors from three ethnic universities as the research object, collects relevant data through questionnaires, and uses structural equation modeling to conduct data analysis and empirical research to investigate the differences in the TPACK levels of these students at different grades and the structural relationships among the elements in the TPACK structure. The technological pedagogical knowledge element of the TPACK structure was not obtained by exploratory factors analysis but through path analysis and structural equation modeling, the results show that the one-dimensional core knowledge of technological knowledge (TK), content knowledge (CK), and pedagogical knowledge (PK) have a positive effect on the two-dimensional interaction knowledge of technological content knowledge (TCK) and pedagogical content knowledge (PCK); furthermore, TCK and PCK have a positive effect on TPACK; and TK, CK, and PK indirectly affect TPACK through TCK and PCK. On this basis, suggestions are provided to ethnic colleges and universities to develop the TPACK knowledge competence of normal students of English majors.

Impact of Integrating Educational Technology on Teacher Preparedness: A Systematic Review and Meta-Analysis

The primary objectives of this review are (1) to provide an overview of the impact of integrating Educational Technology on Teacher Preparedness, (2) to integrate technology into teaching and learning, and (3) to present teachers’ thoughts about technology integration and barriers to integrating technology in education. The systematic literature searches of English language articles were conducted in November 2023 in the Scopus database, yielding 13 studies that met the inclusion criteria and represented six countries. Data analysis resulted in ways for applying the technological pedagogical content knowledge (TPACK) framework within teacher preparation programs. In addition to Integrating technology into teaching and learning. Nevertheless, preservice teachers’ perceptions regarding technology integration should be considered. The results have implications for integrating technology effectively into the curriculum, resulting in better use of technology for student learning. Limitations of the study are discussed.

Effects of Teachers’ Technology Leadership on Postgraduate Preservice Teachers’ Application of TPACK: Perspective of Path-Goal Theory of Leadership

A tremendous amount of technology (e.g., online learning platforms, virtual reality, artificial intelligence, and robots) has been utilized to create rich interactive activities to upgrade preservice teachers’ knowledge and skills. However, there is a challenge to transform teacher preparation programs into a fully realized technological pedagogical content knowledge (TPACK) application environment. Teachers’ technology leadership (TTL) should be considered to empower preservice teachers to apply TPACK. Since there was no empirical evidence concerning the impact of technology leadership on student outcomes, this study investigated the relationship between TTL and postgraduate preservice teachers’ application of TPACK by collecting quantitative data in Chinese normal university. Factor analyses were first conducted; and results indicated that the questionnaire combined the ISTE-E standards and TPACK framework was a reliable and valid survey instrument. The descriptive statistics results showed that TTL (professional growth and leadership, digital citizenship, technology collaboration, and technology-empowered learning) was highly perceived, and postgraduate preservice teachers’ TPACK components were at medium levels. Structural equation modeling test results revealed that TTL positively and significantly influenced all dimensions of postgraduate preservice teachers’ TPACK. Finally, limitations of the study and suggestions for future research are provided along with theoretical and practical implications.

Evaluating English Teachers’ Artificial Intelligence Readiness and Training Needs with a TPACK-Based Model

With the rapid development and widespread adoption of artificial intelligence (AI) tools, the implementation of instructional pedagogy has transformed significantly. English teachers need to understand how AI tools can improve their teaching and must acquire the necessary technical and pedagogical knowledge to effectively utilize AI technology. Although the integration of AI into language teaching shows potential benefits, there remains a dearth of comprehensive research on English teachers’ perceptions, readiness, and professional development requirements in relation to AI.To address these knowledge research gaps, our study aims to evaluate English teachers’ current understanding of AI tools and their training needs for integrating AI into the English language classroom. Our proposed model uses the technological pedagogical content knowledge (TPACK) framework, which incorporates English language teaching and information literacy contexts. This framework allows for a holistic assessment of teachers’ readiness for integrating AI within English language teaching practices.A study was conducted with a class of preservice English teachers in Hong Kong. An online survey was designed to assess the readiness of English teachers for applying AI tools in the classroom as well as their understanding and level of information literacy. This study helped identify and address potential issues with the survey before launching it to a wider audience. Our findings confirmed the validity and reliability of the instrument and indicated that preservice English teacher participants are generally prepared to integrate AI tools into the English classroom. Corelation analysis was also conducted to assess the relationships among the constructs and showed that technological pedagogical knowledge (TPK) and instructional literacy (IL) were significant predictors of the overall TPACK construct. The study suggested professional training in the selection, implementation and progress monitoring of specific AI tools for English Language teaching; pedagogy design; and the ability to search for appropriate resources for the English classroom. The framework can be enhanced by using a mixed-method approach and incorporating a qualitative study to triangulate the findings. An explanatory sequential design will be recommended to collect quantitative data first, then qualitative data will be collected for further analysis.

Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers

This research explores the guided experimental implementation of ChatGPT as a tool for developing teachers’ skills in teaching English. The intervention involved 24 in-service English as a Foreign Language (EFL) teachers who engaged in crafting activities and assessments using researcher-designed prompts. Utilizing a mixed-methods approach, the researchers assessed the participants’ ChatGPT integration proficiency through a custom-designed assessment tool aligned with the technological pedagogical content knowledge framework. The eight-week intervention introduced educators to various applications of ChatGPT in EFL teaching, including lesson planning. A quantitative analysis revealed statistically significant improvements in the teachers’ ChatGPT integration proficiency across all measured dimensions. The qualitative findings highlight the perceived benefits, challenges, and future prospects of ChatGPT in EFL education. While the practical significance of the improvement was modest, the results suggest that the guided integration of generative chatbots can bolster teachers’ ability to leverage this technology appropriately. This study contributes to the limited body of empirical research on integrating large language models into teaching and offers insights into the practical applications and challenges of using ChatGPT in EFL contexts.

The changing role of educators in the age of artificial intelligence: Molding minds at the digital dawn

This study investigates the impact of artificial intelligence (AI) on the roles and practices of educators and outlines the professional development needs in the era of AI. Employing qualitative interviews with 75 teachers across 15 schools in Azerbaijan, the research explores the integration of AI into education. It leverages the Technological Pedagogical Content Knowledge (TPACK) framework to examine the convergence of technology, pedagogy, and content expertise in teaching. Findings reveal that while AI has the potential to enhance personalized learning, its adoption poses significant challenges, including teacher burnout, ethical concerns, and the need for professional development programs. The study highlights the importance of practical training to enable educators to effectively integrate AI into teaching. Limitations include context specificity and potential biases in self-reporting. Future research should assess the long-term educational impacts of AI and expand to various educational settings for a broader perspective.

Competency‐based TPACK approaches to computational thinking and integrated STEM: A conceptual exploration

AbstractIn this conceptual study, we explore the incorporation of computational thinking (CT) within integrated Science, Technology, Engineering, and Mathematics (STEM) education, aiming to enhance the Technological Pedagogical Content Knowledge (TPACK) framework for teacher professional development. Despite the fundamental role of mathematics in K‐16 and engineering education, its theoretical and practical dimensions in a transdisciplinary STEM context and its interlinks with CT remain underexplored. This gap extends to the professional development of teachers in research‐oriented STEM environments, which presents significant challenges. The study aims to address these issues by repositioning cognitive‐adaptive competencies such as CT and design thinking (DT) as a crucial enabler for STEM teacher professional competency, advocating for a move beyond normative approaches. We comprehensively analyze the integration efforts of CT in STEM, which often rely on declarative definitions without substantive practical implications. The study poses questions on (1) how CT can be effectively integrated into STEM, (2) the characteristics of the normative‐adaptive model for teacher education, and (3) the development of a conceptual educational framework focused on mathematical modeling, simulation design, and student engagement in research. Drawing on innovative educational practices, we scrutinize the integration of CT and DT through examples from mathematics, emphasizing the importance of developing computational models and algorithms. Ultimately, we propose a competency‐centered normative‐adaptive‐context aware model of STEM integration (NACAMS)‐TPACK model that enhances the classical TPACK framework by interlinking computational, design, and general pedagogical competencies. This study is particularly relevant for educators, policymakers, and researchers involved in K‐16 STEM and engineering education.

Implementing TPACK Framewok in English Language Teaching

This study aims to identify and describe the implementation of TPACK Framework in English Language Teaching in SMPN 4 Tanjungpandan, Belitung, Kepulauan Bangka Belitung. The research is a qualitative study. The participants of this research consisted of two English teachers from SMPN 4 Tanjungpandan and the students of nineth grade. Data collection techniques are observation, interviews, and documentation. Technological Pedagogical Content Knowledge (TPACK) is a framework for understanding the varied forms of knowledge necessitated by EFL teachers to integrate ICT in their teaching. The results of this study indicate that implementing TPACK framework in Englis classroom gives positive impact to the learning achievements both the teachers and the students. By integrating technology learning applications such as World Wall, You Tube apps, the learning process becomes interesting and enjoyable. The participation of the students increases significantly. In the future, TPACK Framework takes part in increasing the quality English Language Teaching in Indonesia.

Unveiling the TPACK pathways: Technology integration and pedagogical evolution in rural South African schools

The rural schooling environment in the Global South, such as South Africa, faces unique challenges due to low socio-economic status, lack of resources and poor funding. The frequent integration of technologies favoured by these rural teachers suggests, consciously or unconsciously, the development of technological pedagogical content knowledge (TPACK). However, the process of construction and development of this specialized knowledge remains largely unknown. It is also unclear how TPACK evolves in teachers in rural schools in the Global South, particularly those who did not receive formal or informal technology instruction during their initial teacher training or through professional teacher development training. This study adopted Vygotsky's socio-cultural theory and Koehler and Mishra's TPACK framework and collected data through questionnaires, semi-structured interviews and sharing circles. Findings revealed that while teachers show varying levels of TPACK, the context-specific, dynamic nature of TPACK was evident, as teachers often developed this knowledge incrementally and informally. The chapter indicates that despite the absence of structured training, teachers have begun to integrate technology into their pedagogy and content knowledge. However, their development of TPACK is uneven and emerging and often driven by personal initiative. The study concludes that for effective technology integration, teacher training programs should encompass TPACK's nuanced, contextual, and evolving aspects. Implications suggest that mentoring and continuous professional development are essential to enhance teachers’ technological integration skills, thereby improving teaching and learning in rural settings. Implications underscore the importance of continuous professional development and the establishment of supportive school cultures to nurture technology integration, thereby contributing to the pedagogical evolution in rural South African schools.

Exploring preservice ECE teachers’ TPACK through digital storytelling during the pandemic

ABSTRACT In this study, nine preservice teachers' online teaching performances in their teaching practicum during COVID-19 were examined. Altogether, 42 online storytelling activities were recorded, and preservice teachers' views were collected in a 120-minute focus group. We employed thematic analysis to code the participants' reflections, to understand their knowledge of the technological pedagogical content knowledge (TPACK) framework and their preparation for digital storytelling activities. Our findings indicated that preservice teachers spend most of their time on pedagogical content knowledge (PCK) and technological content knowledge (TCK) and only a few minutes on technological pedagogical knowledge (TPK) during digital storytelling activities. It revealed the extent of the TPACK of current ECE teachers and provided insights and recommendations on how to improve ECE teachers' professional development regarding technology, including providing multiple types of digital devices and their applications and examples of technology-assisted teaching.

Is contextual knowledge a key component of expertise for teaching with technology? A systematic literature review

The technological pedagogical content knowledge (TPACK) framework is a prominent framework for describing the knowledge teachers require for teaching in the digital era. Recently, the component of “context” was officially recognized as an additional domain of knowledge. Since then, this domain has started to gradually gain more attention in TPACK research. Yet research on contextual knowledge (XK) appears somewhat sporadic, indicating the need for greater clarity on this construct. As the domain representing the knowledge of educational contexts, the role of experience in educational contexts emerges as a key point for shedding light on this construct. The present systematic literature review aimed to offer an overview of the representations and functions associated with XK through the lens of experience and investigated this domain through comparing the empirical literature focusing on preservice teachers (less experienced) to that focusing on inservice teachers (more experienced). Systematically screening the literature resulted in a final sample of 15 studies conducted among preservice teachers and 23 on inservice teachers. Records were analyzed through qualitative codings and quantitative comparisons of these codes between these two groups of studies. Findings revealed a consistent multifaceted structure of XK across both inservice and preservice teacher studies with a distinctive greater focus on school-level factors in inservice teacher studies. In addition, across groups, studies provided evidence confirming XK as a domain supporting teachers’ practice, that can be developed, and that relates to other pedagogically relevant constructs. These findings are discussed with regards to their implications for researchers, practitioners, and stakeholders.

Investigating EFL teachers’ lesson planning for chatbot-assisted learning of argumentative writing: a TPACK perspective

ABSTRACT This study examined how teachers integrate chatbots into English as a foreign language (EFL) teaching and learning, drawing upon the Technological Pedagogical Content Knowledge (TPACK) framework. Ten teachers were invited to design lesson plans for teaching argumentative writing using a chatbot named Argumate. We analyzed the teachers’ professional knowledge, as demonstrated in their lesson plans. Additionally, interviews were conducted to understand the teachers’ reasoning behind their instructional planning. The results revealed that the teachers adopted three approaches to chatbot integration, including teacher instruction followed by chatbot use, chatbot use followed by teacher instruction, and chatbot use supplemented with teacher instruction. Moreover, the teachers demonstrated their professional knowledge by combining the chatbot with different teaching strategies (e.g. collaborative learning and experiential learning) and using the chatbot to design learning activities (e.g. chatbot-assisted writing practice and chatbot-supported debate activities) that leveraged the chatbot’s strengths. The teachers’ professional knowledge was also evident in their ability to identify the chatbot’s limitations and supplement chatbot-related activities with additional activities to provide comprehensive support for students’ writing development. The findings shed light on the potential of chatbots as a language learning tool and the importance of teachers’ professional knowledge in integrating chatbots in the language classroom.