This study aims to examine the existing evidence on gamification in educational settings, highlighting its impact on motivation and academic performance. Methodologically, a Systematic Literature Review (SLR) was developed under the PRISMA statement criteria using three multidisciplinary databases: Web of Science, Scopus, and Scielo. According to the inclusion, exclusion, and quality criteria, it was determined to include 9 SLR articles on gamification that address at least one of the two key variables: student motivation or academic performance. The articles were published between 2016 and 2022, available in open access, written in English or Spanish, and with content that is directly related to the research questions. The results reveal that gamification significantly influences motivation by facilitating the assimilation of knowledge, the improvement of skills and academic competencies of students, and specifically refers to a wide range of capabilities that are essential for success in the educational environment and that can be enhanced through playful and interactive learning experiences. These skills can be cognitive, self-learning, social, or collaborative, among others. It is concluded that creativity and adaptability are key to successfully implementing gamification in the classroom.

Artificial intelligence (AI) is regarded as a pivotal instrument in the realm of inclusive education, offering a means to enhance accessibility and personalize learning experiences for students with disabilities. This study presents a comprehensive and systematic review of the impact of AI on inclusive education, elucidating both its advantages and the challenges associated with its implementation. In accordance with the PRISMA guidelines, studies published between 2021 and 2024 in databases including Scopus, Web of Science, ScienceDirect, and ERIC were subjected to analysis. A bibliometric analysis was conducted using Bibliometrix to identify key trends, and ATLAS.ti was employed to organize topics such as accessibility, personalization, and ethics. The findings demonstrate that AI enhances accessibility through the provision of adapted materials, including image descriptions for visually impaired students and audio transcripts for those with hearing impairments. Furthermore, it alleviates the administrative burden on educators, enabling them to prioritize pedagogical guidance. Nevertheless, several obstacles persist, including a dearth of AI training, inadequate infrastructure, and ethical concerns regarding privacy and equitable access to technology. Ultimately, AI holds immense promise for enhancing inclusive education and fostering greater accessibility. However, its success hinges on surmounting these challenges. This study underscores the necessity for policies and strategies that ensure the ethical and sustainable utilization of AI in inclusive environments.

Digital competences can be defined as the set of techno-pedagogical and communicational skills that allow teachers to function effectively within the educational contexts that new technologies generate. This research work was aimed to establish the relationship between the level of university professors’ digital competences concerning their gender and generation. The study was based on a sample of 613 professionals with an undergraduate degree, who came from different areas of Ecuador; they were the attendees to the "Training Program for Leveling Tutors using Virtual Modality" at Tí©cnica del Norte University (Ibarra -Ecuador). This research applied a quantitative and explanatory approach where the non-parametric statistical test of Chi-square was used to corroborate the validity of the data; it was obtained from a survey applied to the participants in this training course. The results show that the level of digital competences is gender independent but generation dependent. Generation Z is the one with the best digital capabilities, with an average of 61.14%. Regarding the gender, a dependence is observed only with two out of five groups of competencies analyzed in this study; the cloud storage and the interaction of social network. The research line of digital competences is extensive, the results should not be generalized or extrapolated without considering the characteristics of the educators and the context, it is suggested to assess the teaching staff digital competencies, considering other types of demographic variables, so that higher education institutions can carry out a comprehensive training planning in digital skills.

The determination of misconceptions among students is a prerequisite to driving conceptual, procedural, and attitudinal changes. This study aimed to investigate the causes and effects that misconceptions generate in the learning of natural sciences, as well as the basic categories of misconceptions in the learning of physics held by high school students. Under the PRISMA guidelines, the research consisted of a systematic literature review in three databases: Scopus, WoS, and Dimensions. Data visualization and analysis were supported by the following tools: VOSviewer, Bibliometrix, and ATLAS.ti. It was concluded that misconceptions do not solely depend on students’ behavior; teacher training and preparation also have a direct influence on this issue. The main factors include persistent use of the didactic model of transmission–reception, the influences of students’ daily experiences, decontextualization of the addressed content, limited development of research skills, usage of inadequate teaching methods, texts full of formulas, and exaggerated schemas. Physics stands out as the most studied discipline, in terms of misconceptions. Several topics were identified that contained misconceptions grouped into four main subject areas: thermodynamics, waves and sound, mechanics, and radiation and light.

In a society marked by continuous technological changes in favor of education, digital competence is an unavoidable feature in the professional profile of the university teaching staff. This systematic literature review aims at answering the following questions: what basic standards are established by the literature for teacher training in digital competence to strengthen their work inside and outside the classroom? What models or frameworks do they use as references? What are university professors’ training needs? What contributions have been made in this line of study and what technologies are recommended for teacher training in digital competence? Based on the four phases of the PRISMA flowchart: identification, selection, eligibility, and inclusion, the articles indexed in the Web of Science, Scopus, and Scielo databases, both in English and Spanish, and published in 2015 until the end of May 2022, were analyzed. The initial search resulted in a total of 187 potentially useful articles, 26 of which met the inclusion and quality criteria. The authors of the selected papers concur in identifying the dimensions of competence and, subsequently, in establishing the standards, direction, and focus of training.

Rapid changes in technology force Higher Education Institutions (HEIs) to generate policies and permanent digital adaptations in their exercise of forming professionals through university professors. HEIs -in their permanent desire to qualify teaching faculty and graduate high-level professionals-develop continuous training events to strengthen and update techno-pedagogical skills that allow giving concrete responses to the needs of a globalized society during a human-educational crisis that arises from the COVID-19 pandemic. This study aims at analyzing whether nano-MOOCs improve digital teaching competences in university professors since in the scientific literature, this topic does not show with certainty the effectiveness of these types of courses in teacher training. By conducting a quantitative descriptive-inferential, comparative quasi-experimental research (pre-test and post-test) and with a sample made up of 297 faculty members from Universidad Técnica del Norte (UTN, Ibarra-Ecuador) belonging to the five academic units that compose it, it was identified that the teaching staff has limitations in two of the areas of competence that are articulated by INTEF Common Framework: creation of digital content and security; nevertheless, they did show optimal skills in the areas of information and information literacy, communication and collaboration, and problem solving. The findings also determined that online training based on a nano-MOOC format becomes a successful alternative for university faculty training, 83.84% of the participants under study improved their level of digital competence. These results show that an efficient customizable training can be achieved in less time and adjusted to the needs and characteristics of the professors. The criteria of various authors in this field are ratified with this research, it is, therefore, relevant to evaluate the level of digital competence of teachers and, based on that, be able to plan a personalized training program.