Development and Validation of a Student-Centered Tpack-Based Instrument for Evaluating Technology-Supported Environmental Learning in Higher Education
This study developed and psychometrically validated a reliable 41-item student-centered TPACK-based instrument to assess university students' perceptions of technology-supported environmental learning, thereby extending the TPACK framework's application from teacher education to higher education contexts focused on Education for Sustainable Development.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the modern university classroom, learning is no longer just about listening to a lecture or reading a textbook. It is increasingly a blend of three distinct elements working together: the subject matter itself, the methods used to teach it, and the digital tools available to explore it. When these three elements align, students can grasp complex ideas more deeply. For decades, researchers have used a framework called Technological Pedagogical Content Knowledge, or TPACK, to understand how teachers combine these elements. This framework suggests that effective teaching happens not when a teacher simply knows technology or knows their subject, but when they know how to weave the two together with the right teaching strategies. However, this framework has almost exclusively been used to judge teachers. Very little attention has been paid to how students actually experience these blended learning environments, particularly when the subject matter is something as urgent and complex as the environment and sustainability.
A team of researchers in Kazakhstan set out to change this imbalance. They wanted to know if students could perceive and describe the quality of their own technology-supported learning experiences using the same TPACK framework. To do this, they developed a new survey tool specifically designed for students, rather than teachers. They focused on environmental education, a field where digital simulations and online collaboration are becoming essential for understanding issues like climate change and ecological responsibility. The researchers gathered data from 115 undergraduate students at Abai Kazakh National Pedagogical University who had recently participated in courses that integrated digital resources with environmental topics. These courses involved online discussions, multimedia materials, and collaborative digital projects. The goal was to see if a student-centered version of the TPACK framework could reliably measure how these students felt about their learning journey.
The researchers constructed a questionnaire with 41 questions, organized into seven distinct categories that mirror the TPACK model. These categories ranged from basic technological skills and knowledge of environmental facts to the more complex ability to use technology to teach or learn specific environmental concepts. The students answered these questions on a scale from one to five, indicating how much they agreed with statements about their learning experiences. The team then subjected the data to rigorous statistical testing to ensure the tool was valid and consistent. They found that the instrument worked remarkably well. The internal consistency of the survey was exceptionally high, meaning that the questions within each category were measuring the same underlying concept very reliably. Furthermore, the statistical analysis confirmed that the seven categories were distinct yet interconnected, just as the theory predicted. The data showed that the different parts of the learning experience—technology, teaching methods, and content—were positively related to one another, forming a cohesive picture of the learning environment.
When the researchers looked at the students' actual responses, a clear pattern emerged. The students generally reported high levels of confidence and positive perceptions across all areas of their learning. They felt particularly strong in their understanding of environmental concepts and their ability to use digital tools to find information. The average scores for these areas were near the top of the five-point scale. However, one area stood out as slightly more challenging for the students: the integration of technology specifically with environmental content. While still positive, the scores for this specific intersection were the lowest among the seven categories. This suggests that while students are comfortable using technology and comfortable with environmental facts, the act of merging the two—using digital tools to deeply explore and solve specific environmental problems—remains a complex skill that requires more development.
The study concludes that this new, student-focused survey is a valid and reliable tool for measuring how university students experience technology-supported environmental learning. By shifting the focus from what teachers know to what students perceive, the researchers have provided a way to evaluate the effectiveness of digital learning environments from the learner's perspective. This is a significant step forward for education, offering institutions a concrete way to assess whether their digital strategies are truly helping students engage with sustainability issues. The findings suggest that while the foundation is strong, there is still work to be done in helping students fully integrate technology with the specific content of environmental science. The researchers acknowledge that their study was limited to a single university and a specific group of students, so the tool needs further testing with larger and more diverse groups to confirm its broader usefulness. Nevertheless, the work provides a solid, evidence-based method for universities to understand and improve the digital learning experiences that are becoming central to modern education.
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.