In the didactics of mathematics, many technological resources can be used with teaching strategies, techniques, models, and methodologies that facilitate the teaching–learning process. Pedagogical models such as Flipped Learning and active methodologies such as Project-Based Learning and Gamification have a relevant role in education. Objectives. (1) To identify the variables of teaching practices, ratios, and mathematics teacher training indicators that could influence the choice of different study models or methodologies. Method. A total of 73 teachers from the Autonomous City of Melilla were included in a cross-sectional study. Teachers filled out a validated questionnaire with 35 questions regarding mathematics and teacher training, information and communication technology (ICT) uses, resources and mastery, communication, and collaboration. Results. The statistical analyses revealed significant positive influences between the Flipped Learning model, Project-Based Learning, and Gamification with the evaluated items. Furthermore, Project-Based Learning showed a negative association with two items of the teaching practice indicator. Conclusion. The exchange of information and content through online spaces, participation, and collaboration in center projects related to digital technologies and educational software to teach mathematics had a significant impact on the choice of Flipped Learning model and active methodologies.

Digital self-efficacy and the amount of perceived support from the school can improve teachers’ motivation to increase the use of information and communication technology (ICT) in the classroom. Likewise, attitude, perception, gender, and experience of mathematics teachers are factors that influence their use of ICT. This study aimed to analyze the profiles of mathematics teachers, determine the existence of differences between them, and identify the sample size necessary to detect significant differences. A total of 73 high school teachers were included in this cross-sectional study. Teaching practice, ICT resources, ICT in the classroom, skills, and uses of ICT were assessed through a validated 19-item questionnaire. Statistical analysis revealed that the required sample to detect significant differences was 53 subjects. Further, 67.21% of the mathematics teachers surveyed in Melilla were younger than 40 years of age, and 62.30% had less than 6 years of teaching experience. In addition, 81.97 and 47.54% of mathematics teachers stated that they consider themselves to have sufficient ICT resources at home for their work and in the classroom, respectively. Through different clusters, mathematics teachers can be identified and classified according to their motivational and competence profiles in pedagogical and digital areas. In addition, young teachers with some teaching experience had positive perceptions of technology, as reflected by high scores in the motivation indicator for ICT.

Several socioeconomic, environmental, ethnic, family, and educational factors influence an individual’s academic performance and can determine their school performance in mathematics. Mathematical competence is one of the skills that allow students to build visions of the future from performance in the present. However, the perception that students have of mathematics, in addition to the teacher–student relationship, the classroom, gender, teaching–learning, and motivation are crucial factors for achieving an optimal academic performance and preventing school failure. The aim of the present study was: (1) to examine which variables of the dimensions “Learning Mathematics” and “School Environment” significantly contribute to the marks in the second quarter and quantify their relative importance; (2) to determine the optimal algorithm model for predicting the maximum gain in students’ marks in the second quarter and quantifying it; and (3) to analyze the maximum gain in terms of gender. A total of 2018 high school students in Melilla were included in this cross-sectional study. Mathematical learning and the school environment were assessed using a validated 14-item questionnaire. Gain lift was employed to quantify the improvement in students’ performance. The role of the classroom and teacher–student relationship had a greater influence on mathematics scores than affinity indicators, teaching, study time, teaching resources used, study aids, and motivation.

Although the value of information and communication technology (ICT) is positive and its use is widespread, its potential as a teaching tool in mathematics is not optimized and its methodological integration is rare. In addition, the availability of ICT resources in schools is positively associated with the academic success of students, and the availability of ICT resources at home is negatively associated with their success. To determine the relationships among academic performance, uses, and available ICT resources, a total of 2018 secondary school students participated in the present study. The uses and available ICT resources, and the learning of mathematics and ICT, were evaluated using a validated 11-item questionnaire. Statistical analysis reveals that, of the secondary education levels, the lowest results are observed in the third year. A total of 64% of students affirm that they use ICT at home to study mathematics. In addition, 33.61% of the students affirm that they use their mobile phones frequently while studying at home. However, it should be noted that between 23.80% and 28.44% affirm that they dedicate more than 4 h per day to phone calls. Educational level is a predictor of academic performance in mathematics associated with students’ uses of ICT. The scores indicate that the computer is generally used for Internet searches, thus, limiting the use of ICT for educational purposes. Furthermore, there is a difference regarding gender.

Digital competence in education includes, amongst other things, the ability to create and manage content and information, mastery of communication tools, and solving technological problems. The access to information and communication technologies (ICT) for educational purposes could have affected the academic performance of mathematics students prior to COVID-19. The objectives were to (1) analyze family and economic factors that could influence the use of ICT for educational purposes, and (2) determine what attributes of Melilla’s mathematics students could explain an additional variation in the use of ICT for academic purposes before COVID-19. A total of 2018 students at secondary schools in Melilla were included in this cross-sectional study. A validated questionnaire with 14 questions regarding ICT and its uses and resources in mathematics learning was administered to students. Statistical analysis revealed that 63.81% of students used ICT to study mathematics and 36.19% did not. Of this percentage, 30.22% failed mathematics and 68.43% reported that ICT does not help them improve their grades. The use of ICT to study mathematics was influenced by students’ perceptions of its usefulness for their academic performance and learning. We also found an association with educational level and time spent on the Internet.