Teaching and Learning Research with Technology in New Era

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".

Deadline for manuscript submissions: closed (31 May 2026) | Viewed by 2778

Special Issue Editors


E-Mail Website
Guest Editor
1. Department of Psychology, Faculty of Education, University of Córdoba, 14071 Córdoba, Andalusia, Spain
2. Department of Education, Faculty of Social Sciences, International University of La Rioja, 26006 Logroño, La Rioja, Spain
Interests: digital transformation, competencies and innovative methodologies

E-Mail Website
Guest Editor
Department of Didactics of Mathematics, Faculty of Educational Sciences, Universidad de Sevilla, 41004 Sevilla, Spain
Interests: integration of technology in interdisciplinary education; social inclusion practices; key competency development; the design of frameworks to enhance educational quality

E-Mail Website
Guest Editor
Departamento de Sociología y Comunicación, University of Salamanca, 37008 Salamanca, Spain
Interests: education and social cohesion

E-Mail Website
Guest Editor
Faculty of Education, University of Salamanca, 37008 Salamanca, Spain
Interests: public policies and educational reforms

Special Issue Information

Dear Colleagues,

In the digital era, learning processes have undergone significant transformations with the integration of new technologies, including artificial intelligence, and these advancements have not only optimized educational processes but have also expanded access to knowledge and fostered the development of key 21st-century competencies. In this context, digital tools, collaborative platforms, and emerging methodological approaches have reshaped how students, educators, and researchers acquire, apply, and disseminate skills in inquiry, analysis, and communication.

The increasing use of technology in education has triggered a paradigm shift in how knowledge is constructed and shared. Artificial intelligence and big data have revolutionized information collection and analysis, offering new opportunities for personalized learning and data-driven pedagogical strategies. At the same time, they have influenced the formulation and transfer of policies and practices related to technological innovation in education.

The growing digitalization of education presents both opportunities and challenges, requiring the development of interdisciplinary competencies. While new technologies provide tools to enhance learning possibilities, questions arise about which research approaches (or policy frameworks) are being prioritized in the dynamics of digital education. Issues such as equitable access to digital tools, data security, and the need for ethical frameworks to regulate technology use must be addressed. This context demands a deeper reflection on the challenges of inclusive education, considering the digital divide, persistent inequalities in education access, and the alarming rates of illiteracy that still persist globally.

This Special Issue invites educators, researchers, and policymakers to reflect on the impact of technology on contemporary teaching—whether in face-to-face or virtual modalities—through diverse disciplinary lenses. It also encourages research into the narratives emerging from the integration of digital tools in teaching practices and the need to critically examine the discourses and strategic frameworks underlying digital education policies.

Selected articles will include empirical studies, educational experiences, and theoretical reviews that contribute to a deeper understanding and optimization of academic practices in this field. This analysis seeks to foster a critical and informed debate on the future of teaching and learning in the digital age, examining the overemphasis on instrumental approaches in digital education, the geographical and territorial dimensions of technological innovation, and the promotion of transformative and sustainable educational strategies.

Dr. Eva Ordóñez-Olmedo
Dr. Pilar Gómez-Rey
Dr. Isotta Mac Fadden
Dr. Lourdes Belén Espejo Villar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • teachers' critical knowledge of technology
  • students' technological adoption
  • digital or instrumental literacy?
  • big data in educational research
  • digital competencies
  • ethics in digital research
  • artificial intelligence in education
  • transferred emerging methodologies
  • digital policy agenda

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 1424 KB  
Article
The Anatomy of AI Integration in Student Learning: A Psychological Network Analysis of AI Appraisal and Self-Regulated Learning Across Use-Frequency Groups
by Alina Roman, Dana Rad, Ion Albulescu, Cristian Stan, Evelina Balaș, Sonia Ignat, Anca Egerău, Tiberiu Dughi, Alina Costin, Cristina Gavriluță, Georgeta Pânișoară, Csaba Kiss, Otilia Todor and Gavril Rad
Educ. Sci. 2026, 16(5), 720; https://doi.org/10.3390/educsci16050720 - 2 May 2026
Viewed by 469
Abstract
Artificial intelligence (AI) is increasingly embedded in students’ learning practices, yet little is known about how AI engagement evolves from an external technological aid into an agentic component of self-regulated learning. This study applies psychological network analysis to examine the structural relations among [...] Read more.
Artificial intelligence (AI) is increasingly embedded in students’ learning practices, yet little is known about how AI engagement evolves from an external technological aid into an agentic component of self-regulated learning. This study applies psychological network analysis to examine the structural relations among students’ knowledge of AI, perceived value and perceived cost of AI, intention to use AI, and three core self-regulated learning processes—forethought, performance control, and self-reflection—across different levels of AI use frequency. The study was conducted on a sample of 673 university students and early-career graduates. Networks were estimated using EBICglasso for the full sample and separately for low-, moderate-, and high-frequency AI users. Across all models, a stable two-system organization emerged, consisting of an AI appraisal subsystem (knowledge, value, cost, intention) and a self-regulation subsystem (forethought, performance control, self-reflection). However, the connectivity between these subsystems differed systematically by usage frequency. Among low-frequency users, perceived cost was more prominently positioned within the appraisal subsystem, suggesting that cost-related concerns may be more salient in lower-frequency use contexts. In contrast, in the moderate- and high-frequency groups, performance control appeared more centrally positioned at the interface between appraisal and self-regulation, suggesting stronger alignment between AI-related appraisals and performance-level regulatory processes in these groups. Students’ knowledge of AI displayed context-dependent structural roles across networks, consistent with a variable relational position across use-frequency groups. Overall, the findings suggest that AI appraisal and self-regulated learning form partially distinct but interconnected subsystems, and that their configuration may vary across AI use-frequency groups. Because subgroup comparisons were descriptive and formal stability analyses were not conducted, these findings should be interpreted as exploratory. The results do not support causal or developmental inference and require replication using bootstrapped stability analyses and formal network comparison procedures. Full article
(This article belongs to the Special Issue Teaching and Learning Research with Technology in New Era)
Show Figures

Figure 1

15 pages, 255 KB  
Article
Use of Interactive Whiteboards in Regular Basic Education: Teacher Competencies and Perceptions in the Public and Private Sectors
by Olga Mendoza-León, Alejandra Hurtado-Mazeyra, Luis Orbegoso-Dávila, Juan Rodríguez-Soto and Saby Burgos-Goicochea
Educ. Sci. 2026, 16(4), 543; https://doi.org/10.3390/educsci16040543 - 1 Apr 2026
Viewed by 599
Abstract
The current educational transformation driven by the incorporation of digital technologies has required teachers to acquire new technical and pedagogical skills. The purpose of this study was to identify the level of pedagogical implementation of interactive whiteboards (IWBs), analyze the levels of technical [...] Read more.
The current educational transformation driven by the incorporation of digital technologies has required teachers to acquire new technical and pedagogical skills. The purpose of this study was to identify the level of pedagogical implementation of interactive whiteboards (IWBs), analyze the levels of technical competence in the use of IWBs, and identify the advantages, limitations, challenges, and perceived impact of IWBs in regular basic education, considering the differences between public and private institutions. The methodology adopted a descriptive-comparative approach, with the application of a structured questionnaire to teachers in public and private basic education institutions. The results showed the growing use of IWB as a teaching resource to facilitate learning, as well as a significant gap in the skills and frequency of use of IWBs between teachers in the public and private sectors. It was also found that IWBs foster greater student interaction, motivation, and participation, particularly when they are integrated into active and collaborative teaching strategies. However, limitations related to technological infrastructure, teacher training, and equipment maintenance were recognized. In conclusion, IWB integration is effective, but it requires equipment and ongoing training in digital and pedagogical skills. Full article
(This article belongs to the Special Issue Teaching and Learning Research with Technology in New Era)
17 pages, 3146 KB  
Article
Task-Based Learning with VR Support in CFL Learning
by Pattanasak Muangchan, Kiki Juli Anggoro and Phirasoost Kateleatprasert
Educ. Sci. 2026, 16(2), 340; https://doi.org/10.3390/educsci16020340 - 20 Feb 2026
Viewed by 776
Abstract
This study explores the effects of integrating virtual reality (VR) into task-based learning (TBL) to support Chinese language learning among Thai university students enrolled in a basic Chinese course. A total of fifty first-year students were selected using simple random sampling and assigned [...] Read more.
This study explores the effects of integrating virtual reality (VR) into task-based learning (TBL) to support Chinese language learning among Thai university students enrolled in a basic Chinese course. A total of fifty first-year students were selected using simple random sampling and assigned to either a VR-supported experimental group or a traditional control group. Both groups received instruction on the same vocabulary and writing content, delivered by the same instructor, and were assessed using identical pre- and post-tests. The findings indicate that students in the VR-supported group significantly outperformed their peers in the control group. Large effect sizes suggest substantial improvements in both vocabulary knowledge and Chinese character writing, while the control group demonstrated only minimal progress. Survey responses also revealed that students found VR-based tasks highly engaging, closely connected to real-life communication, and strongly motivating. Most participants reported a better understanding of vocabulary and noticeable advancement in learning Chinese characters. However, some students encountered technical difficulties and mild discomfort while interacting with the VR environment. These observations underscore the need for careful instructional design and the importance of implementing VR in a user-friendly and accessible manner. Overall, the study highlights the potential of VR-supported TBL to enhance learning outcomes in beginner-level Chinese courses, provided that technological and pedagogical considerations are carefully addressed. Full article
(This article belongs to the Special Issue Teaching and Learning Research with Technology in New Era)
Show Figures

Figure 1

Back to TopTop