Designing an Internet of Things-Based Learning Management Model to Improve the Math Problem Solving Ability of High School Students in Mashhad

Background and Aim: The Internet of Things has many uses in education. However, one of the most important subjects in all educational levels is mathematics, which was specifically addressed in this research. Therefore, the purpose of this research was to design a learning management model based on the Internet of Things to improve the mathematical problem solving ability of secondary school students in Mashhad. Research method: The current research is applied in terms of its purpose, which was carried out with an approach mixed with an exploratory design and by combining qualitative and quantitative methods. In order to deeply investigate and understand more about the subject and the factors affecting them, in addition to theoretical foundations, interviews were used for better understanding and the grounded theory approach. Then a quantitative approach was used to confirm the qualitative results. In the qualitative part, in order to identify the components of the model, 12 experts from the scientific community and academic experts were interviewed in the field of research. Results: The results of the qualitative part showed that the model includes 75 major categories (resulting from open coding), 10 core categories (resulting from axial coding) and two main categories (resulting from selective coding). In the quantitative section, a questionnaire containing 51 items was prepared and given to 384 secondary school students in Mashhad. The results of this section showed that there is a significant relationship between learning management based on the Internet of Things and the ability to solve mathematical problems. Conclusion: The results showed that the effectiveness of the variable components of learning management based on the Internet of Things (in order of technical and systemic infrastructures, measurement and evaluation, educational content, support (technical, financial and legal) and educational method) and the variable components of solving ability It is a mathematical problem (in the order of testing hypotheses, making hypotheses, gathering information, defining the problem and drawing conclusions)

An AHP–TOPSIS predictive model for district-scale mapping of porphyry Cu–Au potential: a case study from Salafchegan Area (Central Iran)

The Salafchegan area in central Iran is a greenfield region of high porphyry Cu–Au potential, for which a sound prospectivity model is required to guide mineral exploration. Satellite imagery, geological geochemical, geophysical, and mineral occurrence datasets of the area were used to run an innovative integration model for porphyry Cu–Au exploration. Five favorable multi-class evidence maps, representing diagnostic porphyry Cu–Au recognition criteria (intermediate igneous intrusive and sub-volcanic host rocks, structural controls, hydrothermal alterations, stream sediment Cu anomalies, magnetic signatures), were combined using analytic hierarchy process and technique for order preference by similarity to ideal solution to calculate a final map of porphyry Cu–Au potential in the Salafchegan area