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Please note that all times are shown in the time zone of the conference. The current conference time is: 10th May 2025, 10:26:19 EEST

 
 
Session Overview
Session
16 SES 08 A: Digital Governance, EdTech and Behaviour Modification
Time:
Wednesday, 28/Aug/2024:
17:30 - 19:00

Session Chair: Teresa Di Spiridione
Location: Room 016 in ΧΩΔ 02 (Common Teaching Facilities [CTF02]) [Ground Floor]

Cap: 56

Paper Session

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Presentations
16. ICT in Education and Training
Paper

Democratizing Digital Governance in Education: Challenges, Opportunities, and Ethical Considerations for School Authorities

Eivind Larsen

NLA University College, Norway

Presenting Author: Larsen, Eivind

Research in the field of education has explored the role of accountability policies in different contexts (e.g. Maroy, 2015) and how performance-based systems of accountability have increasingly been implemented to ensure that schools are held responsible for quality improvement on measurable policy-indicators (Camphuijsen, 2020). Recent research has also focused on how digital tools (such as Learning Analytic Platforms, abbreviated as LAPs) are used as policy tools for governance and accountability purposes (Martinez Lunde, 2022). However, less attention has been granted to processes of democratizing these tools by involving and making them transparent to the public. This study intends to address this gap in the literature and contribute to important insights to the intersection of digital and democratic governance of schools, especially in the Nordic countries. The paper is based on the premise that technological democratization is a 'moral imperative'. (Sclove, 1992, p. 143). The Nordic, and especially the Norwegian context emerges as an interesting case as researchers have highlighted tension between internal practice of educational professionals, and external practices such as national testing policy (Martinez Lunde, 2022). Additionally, research suggests that discursive tensions between a language of performance data and democracy has been rendered more visible in policies over time (Larsen et al., 2020).
The overarching research question guiding the study is as follows: How are current digital policy tools used by policymakers and school authorities related to students’ well being and learning outcomes subject to democratization? To address this question, I draw from three theoretical perspectives that inform the discussion. First, theories on accountability (O’day, 2002; Sinclair, 1995) provide a foundation for understanding how digital policy tools may provide transparency and ensure that schools are held accountable for students’ well-being and learning outcomes. This perspective emphasizes the workings of accountability when educational authorities aim to map schools’ practices when it comes to student learning and psychosocial well-being. Second, theories on professionalism (Anderson & Cohen, 2018; Sugrue & Solbrekke, 2014) highlights the importance of educators and policymakers’ autonomy to make informed decisions in the best interest of all students. Moreover, the perspective recognizes the importance of educational professionals’ judgements and contributes to a balanced discussion on the tensions between digital, “top down” governance on the one hand, and situated and contextually based professional judgement as a necessary ingredient in guiding local school development, on the other. Third, the perspective of phronesis or practical wisdom (Aristotle, 1999; Birmingham, 2004) emphasizes the need for ethical considerations and moral virtues in the process of decision-making in processes of digital governance. This perspective is chosen to add another layer of perspective to professional judgement in discussing challenges and opportunities in democratizing digital governance as it emphasizes the ethical and contextually situated judgement as key ingredients in the concept of phronesis. Additionally, the study considers the policy context in which these policy tools are situated and implemented. Even though educational policies and systems vary across countries and regions, these tools are somewhat similar across contexts. Accordingly, understanding the Nordic context will contribute to understanding the democratization of the tools in similar contexts, such as the Anglo-American and European. Also, how these tools are democratized will provide insight into how they can be used for future development of schools, and for the betterment of students’ well-being and learning outcomes.


Methodology, Methods, Research Instruments or Sources Used
This study is inspired by a literature review anchored in the principles outlined by Boote & Beile (2005), meaning it draws from a range of sources, including books, articles, official documents, and research reports related to democratizing of digital governance tools in education over the last 10 years. Moreover, the article employs a post-structural approach to policy analysis (Bacchi & Goodwin, 2016); critically examining the role of digital policy tools not only as a means to “solve” problems but are also intrinsically linked to producing them.
To support the theoretical investigation, the study applies qualitative synthesis techniques informed by meta-ethnography (Noblitt & Hare, 1988). This method facilitates the synthesis of diverse qualitative studies, which enables the identification of themes and patterns in the findings from different studies utilizing different framework. In conjunction with the meta-ethnographic approach, the study also draws inspiration from the case-study approach (Yin, 2018). By examining several cases, such as the implementation of different digital policy-tools in Norway, the current article seeks to derive comparative insights into the dynamics of policy implementation, thereby aiming to account for contextual variations on how such tools represent challenges and opportunities for school authorities.
 The methodological synthesis of literature review, post-structural policy analysis, meta-ethnography, and case study-approach ensures a flexible and systematic approach to the complexity when investigating the democratization of policy tools. This synthesis allows for critically analyzing policy-dimensions of digital policy tools based on the first two approaches (literature review and post-structural analysis), while also considering the local and contextually situated studies based on the latter methodological approaches (meta-ethnography and case-study approach). This allows for including studies on how, e.g. municipalities in Norway use digital tools of governance and how these tools are subject to democratization, and what are the possible implications for students’ learning and well-being at school-level.


Conclusions, Expected Outcomes or Findings
The use of digital governance tools in education has the potential to leverage technologies such as Artificial Intelligence (AI) to ensure cost efficiency and savings. For example, the widely used Conexus Insight in Norway shows a case of the benefits of AI in promoting technical and economic efficiency in the domain of education and accountability. However, this raises the challenge of balancing cost-savings and efficiency with the need for democratic digital governance as a ‘moral imperative’ (Sclove, 1992). Current research suggests that school authorities must exercise discretion to ensure that the use of digital policy tools does not undermine students’ well-being and learning outcomes (Southgate, 2021).
The expected outcomes of this study include a contribution to understanding the complex challenges faced when authorities ensure the democratization of digital policy tools in digital governance. The research aims to identify opportunities and potential strategies for promoting transparency, participatory decision-making, and accountability in the use of digital policy tools in education. This understanding can inform policymakers, school authorities and other stakeholders in their efforts to create democratic and inclusive systems of governance, also in the sphere of digital systems of governance.
Additionally, the study seeks to contribute to theoretical discussions by expanding the existing knowledge base on the intersection of digital governance, democracy, and the best interest of all students in education. Thus, by critically examining existing policies, theories and frameworks, the article sheds light on the complexities inherent in democratizing policy tools in the context of digital governance. In turn, this may contribute to understanding the role of ethics in professional judgement of school authorities when faced with the adoption and implementation of digital tools in educational settings. This may, in turn, inform the practices of school authorities and policy makers on the uses of digital tools.

References
Anderson, G. L., & Cohen, M. I. (2018). The New Democratic Professional in Education: Confronting Markets, Metrics, and Managerialism. Teachers College Press.
Aristotle. (1999). The Nicomachean Ethics (p. 56). Blackwell.
Bacchi, C., & Goodwin, S. (2016). Poststructural policy analysis (1st ed.) Palgrave Macmillan.
Birmingham, C. (2004). Phronesis: A Model for Pedagogical Reflection. Journal of Teacher Education, 55(4), 313–324.
Boote, D. N., & Beile, P. (2005). Scholars Before Researchers: On the Centrality of the Dissertation Literature Review in Research Preparation. In Educational Researcher (Vol. 34, Issue 6, pp. 3–15). https://doi.org/10.3102/0013189x034006003
Camphuijsen, M. K. (2020). Coping with performance expectations: towards a deeper understanding of variation in school principals’ responses to accountability demands. Educational Assessment, Evaluation and Accountability. https://doi.org/10.1007/s11092-020-09344-6
Larsen, E., Møller, J., & Jensen, R. (2020). Constructions of professionalism and the democratic mandate in education A discourse analysis of Norwegian public policy documents. Journal of Education Policy, 1–20.
Martinez Lunde, I. (2022). Learning analytics as modes of anticipation: enacting time in actor-networks. Scandinavian Journal of Educational Research, 1–15.
Martinez Lunde, I. (2022). Digitization in school leadership and educational governance: Examples from policy and practice [PhD Dissertation]. University of Oslo.
Maroy, C. (2015). Comparing Accountability Policy Tools and Rationales: Various Ways, Various Effects? In H.-G. Kotthoff & E. Klerides (Eds.), Governing Educational Spaces: Knowledge, Teaching, and Learning in Transition (pp. 35–59). Sense Publishers.
Noblitt, G. W., & Hare, R. D. (1988). Meta-ethnography. SAGE Publications.
O’day, J. A. (2002). Complexity, Accountability, and School Improvement. Harvard Educational Review, 72(3).
Sclove, R. E. (1992). The Nuts and Bolts of Democracy: Democratic Theory and Technological Design. In L. Winner (Ed.), Democracy in a Technological Society (pp. 139–157). Springer Netherlands.
Sinclair, A. (1995). The chameleon of accountability: Forms and discourses. In Accounting, Organizations and Society (Vol. 20, Issues 2–3, pp. 219–237). https://doi.org/10.1016/0361-3682(93)e0003-y
Southgate, E. (2021). Artificial Intelligence and Maching Learning: A Practical and Ethical Guide for Teachers. In C. Wyatt-Smith, B. Lingard, & E. Heck (Eds.), Digital disruption in teaching and testing. Routledge.
Sugrue, C., & Solbrekke, T. (Eds.). (2014). Professional responsibility: New Horizons of Praxis. Routledge.
Yin, R. K. (2018). Case study research and applications (6th ed.). SAGE Publications.


16. ICT in Education and Training
Paper

What Change(S) Does The Edtech Industry Offer To School Pedagogy?

Omri Hadar, Yifat Ben-David Kolikant

Hebrew University of Jerusalem, Israel

Presenting Author: Hadar, Omri

In recent decades, there has been a major change in the education technology field, as more and more high-tech companies, including start-ups, enter the educational technology arena, previously dominated by big publishers and non-profit organizations. A large portion of the EdTech sector is profit-driven and sees the educational field as a potential market (Williamson, 2017). The discussion on technology and education has been characterized by cycles of hype, hope, and disappointment (Gouseti, 2010). The rise of the EdTech industry in the education field has been accompanied by a similar hopeful discourse about its potential to disrupt and fix the educational system (Selwyn, 2016). Is it another cycle? This question motivated us to examine what pedagogical change(s) EdTech companies offer to schools and to what extent these changes are linked to the pedagogical changes required in the education system as described in the literature.

Educational researchers and leading agencies state that owing to trends of digitalism, globalism, and aspirations towards a knowledge society, life in the 21st century involves new challenges (e.g., growing need for innovation and knowledge creation) (Law 2014; OECD, 2018; Tan et al., 2021). Therefore, today’s students must develop certain skills, orientations, and competencies, often termed 21st-century skills (National Research Council, 2012).

Moreover, educational researchers and agencies state that the educational system should undergo a transformative change towards learner-centered pedagogies. This is imperative because the prevailing teacher-centered instruction in schools is deemed inadequate for fostering 21st-century skills among students (Bremner et al., 2022; Tan et al., 2021; OECD, 2018).

Learner-centeredness is not merely about students being active during the lesson, but rather, it is about students being involved in decision-making about their learning in dialogue with peers and the teacher, metaphorically co-writing the script of their learning with the teachers. In contrast, in teacher-centered pedagogy, teachers write the learning script: they control every aspect of the educational situation (Ben-David Kolikant, 2019; Bremner et al., 2022; Gutierrez et al., 1995).

According to Law (2014), who reviewed empirical studies related to pedagogical innovation and change, another important dimension to consider when analyzing pedagogical innovation and change is the role students, teachers, and technology will play, and their closeness to teacher-centered and learner-centered practice.

Finally, learner-centered pedagogies feature high curricular flexibility. Namely a certain degree of freedom for students to make decisions and co-write their learning scripts and the freedom required for teachers to support the diverse needs that emerge as students undergo these learning processes (Bremner et al., 2022).

This transformative change towards learner-centered pedagogies means restructuring educational goals and a dramatic change in teachers and students' roles and responsibilities (Law 2014; OECD 2018). Such a change can be classified as a second-order change, a term that refers to cases where the system itself undergoes a change that involves restructuring the goals, procedures, and boundaries of the system. In contrast, first-order change refers to cases where there is a change in the way procedures are carried out in a given system, but the system itself and the essence of these procedures remain the same (Ertmer, 2005; Watzlawick et al., 1974). Technology can support and sustain a second-order change towards learner-centeredness (Ertmer, 2005; Law, 2014; OECD, 2018).

We examined EdTech companies that offer pedagogically-oriented products for K-12 formal education from a pedagogical perspective. Data sources were the websites of all companies that presented at the ASU+GSV summit, 2018. Comparing each product’s description against learner-centered pedagogy principles, we revealed that only a few companies aim at second-order change. The majority aim at middle-order change, within which one component of traditional teacher-centered pedagogy is broken, yet the essence of teacher-centeredness is preserved.


Methodology, Methods, Research Instruments or Sources Used
We examined all the 368 companies that presented at the ASU+GSV summit in May 2018. We chose this sample because:
(a) The ASU+GSV summit is one of the main and most prestigious conferences in the EdTech industry, which gathers investors, entrepreneurs, and educational policymakers from around the world (asugsvsummit.com, 2018). Every year, the conference appears on the list of main industry conventions in Ed-Surge magazine and other magazines such as Forbes, and it has a large number of attendees: over 4000 each year.
(b) The companies participating in the conference have not necessarily implemented their product in schools on a wide scale but have already gained the interest of investors and the summit organizers and therefore can be considered industry representatives.
We conducted a content analysis of the information presented on each company's website (Skalski, Neuendorf & Cajigas, 2017). Our focus was on companies that offer K-12 pedagogical tools. Out of 368 companies, 66 matched these criteria. These companies' websites were analyzed.
We first coded the learning subject(s) the product is intended to be used. Then we characterized the product against the principles of learner-centered pedagogies as described in the literature (e.g., Law, 2014). Specifically, three dimensions were analyzed: who is the scriptwriter, the level of freedom the scriptwriter has, and what is the teacher’s role. The categories in each dimension span an axis, where the category at the lowest level denotes teacher-centeredness and the highest learner-centeredness.
We also analyzed the rationale companies present for the necessity of their product in their own language. Three dimensions emerged out of the analysis: Reasons given by the companies; Pedagogical concepts used to describe the product; and Emotional terms describing the use of the product in the classroom.

Conclusions, Expected Outcomes or Findings
About a fifth of the companies (13 companies) offer products supporting first-order pedagogical change, and another fifth (14 companies) promote second-order pedagogical change. Most of these companies offer products for programming and science teaching.
Most companies (59%), however, could not be labelled as promoting first- or second-order change. These products provided the students with limited autonomy over the learning script, enabling them to choose a fixed script from a fixed inventory or work on a task at their own pace. Teachers are often provided with dashboards to regulate students’ progress. These products leave most control over the learning script in the teachers’ hands. Namely, a component of traditional pedagogy is broken, yet traditional pedagogy is maintained in essence. We thus conclude that these products offer middle-order change, defined as a change that “represents a compromise; the magnitude of change is greater than [the] first-order change, yet it neither affects the critical success factors nor is strategic in nature.” (Golembiewski et al., 1976, as quoted in Lorenzi and Riley 2000, 119).
These findings are discordant with the importance education ministries and policy organizations worldwide ascribe to 21st-century skills and the place of these skills on their agenda (for example, OECD, 2018). Moreover, the companies’ statements regarding the pedagogy their product supports do not align with the relatively small number of products we identified as promoting leaner-centeredness.
Our findings put up a warning sign regarding the expectations from the EdTech industry and place the responsibility on the client, the education system, to define how to change transformatively. We should be aware of "mechanic perception" (Fois & Barak, 2016), by which the mere idea of implementing EdTech products is positive unto itself.

References
Asugsvsummit.com. (2018) About. Retrieved from - http://www.asugsvsummit.com/about/summit-details
Ben-David Kolikant, Y. (2019). Adapting school to the twenty-first century: Educators' perspectives. Technology, Pedagogy, and Education, 28(3), 287-299.
Bremner, N., Sakata, N., & Cameron, L. (2022). The outcomes of learner-centred pedagogy: A systematic review. International Journal of Educational Development, 94, 102649.‏
Ertmer, P. A. (2005). Teacher pedagogical beliefs: The final frontier in our quest for technology integration?. Educational technology research and development, 53(4), 25-39.‏
Fois Y. & Barak Y. (2016). Teacher education in the maze of pedagogical innovation. Tel Aviv: Mofet Institute (In Hebrew).
Gouseti, A. (2010). Web 2.0 and education: not just another case of hype, hope and disappointment?. Learning, Media and Technology, 35(3), 351-356.
Law, N. (2014) Comparing pedagogical innovations. In Comparative education research: Approaches and methods, pp. 333-364. Cham: Springer International Publishing.
Lorenzi, N. M., & Riley, R. T. (2000). Managing change: an overview. Journal of the American Medical Informatics Association, 7(2), 116-124.
National Research Council. (2012). Education for life and work: Developing transferable knowledge and skills in the 21st century. National Academies Press.
Organisation for Economic Co-operation and Development (OECD). (2018). The future of education and skills: Education 2030. OECD Education Working Papers.‏ OECD Publishing, Paris.
Ramiel, H. (2021). Edtech disruption logic and policy work: The case of an Israeli edtech unit. Learning, Media and Technology, 46(1), 20-32.
Selwyn, N. (2016). Is technology good for education?. John Wiley & Sons.
Skalski, P., Neuendorf, K., and Cajigas (2016) Content Analysis in the Interactive Media Age.In K. Neuendorf (Ed.), The content analysis guidebook. (pp 201-242). Sage.‏
Tan, S. C., Chan, C., Bielaczyc, K., Ma, L., Scardamalia, M., & Bereiter, C. (2021). Knowledge building: Aligning education with needs for knowledge creation in the digital age. Educational Technology Research and Development, 1-24.‏
Watzlawick, P., Weakland, J. H., & Fisch, R. (1974). Change: Principles of problem formation and problem resolution. WW Norton & Company.
Williamson, B. (2017). Educating Silicon Valley: Corporate education reform and the reproduction of the techno-economic revolution. Review of Education, Pedagogy, and Cultural Studies, 39(3), 265-288.
Wu, Y. C. J., Huang, S., Kuo, L., & Wu, W. H. (2010). Management education for sustainability: A web-based content analysis. Academy of Management Learning & Education, 9(3), 520-531.‏
Zhao, Y. (2018). Personalizable education for greatness. Kappa Delta Pi Record, 54(3), 109-115.


16. ICT in Education and Training
Paper

Using Virtual Reality for Pedestrian Behaviour Modification: A Pilot Study.

Carlos De Aldama1, Alicia López Álvarez1, Luca Piovano2, Francisco Luque2

1Department of Research and Psychology in Education, Complutense University of Madrid, Spain; 2CeDInt, Polithecnical University of Madrid, Spain

Presenting Author: De Aldama, Carlos

Over the last few years, the number of pedestrian fatalities on urban roads has increased, due largely to infractions associated with their behaviors (e.g., crossing when traffic lights are red). It is argued these behaviors reflect a lack of risk perception. Road safety programs have tried to raise awareness through different methods, using quite often experiences with emotional impact (e.g., testimonies of people who have experienced an accident themselves). Advances in technology have made it possible to develop more effective intervention programs. Concretely, VR technology provides new opportunities for human factors research in areas that are dangerous or difficult to study in the real world. Generally, it has been deployed with the aim of increasing the efficacy of these safety programs. Previous studies have demonstrated the potential of VR to improve pedestrian behaviors, especially when it is accompanied by a debriefing and critical reflection. Within this background, the present study aims to provide evidence regarding to what extent the use of VR on road safety might improve pedestrian behavior. Thus, in order to achieve this goal, the following research questions are posed:

RQ1: Having an accident as a pedestrian in a VR might help to improve the behavior in urban environments? In particular, does it help to reduce violations and errors and increase positive behavior? (a) The hypothesis regarding RQ1 (Hypothesis 1) is that having an accident as a pedestrian in VR will be associated with a reduction in the number of violations and errors and an increase in the number of positive behaviors.

RQ2: Having a reflection and debriefing on the experience in an urban VR environment might help to improve pedestrian behavior? In particular, does it help to reduce violations and errors and increase positive behavior? The hypothesis regarding the RQ2 (Hypothesis 2) is that having a reflection and debriefing on the experience will be associated with a reduction in the number of violations and errors and an increase in the number of positive behaviors.


Methodology, Methods, Research Instruments or Sources Used
To this end, a 2x2 factorial, quasi-experimental study with pre-post measures was designed, where participants (N = 43; M = 24.5 years; SD = 5.14, female 65.12%, all of them spanish speakers and mainly students in higher education) were randomly assigned to one of four conditions. Namely, Group 1(Accident in VR/Debriefing) visually experienced an accident in the VR environment and subsequently participated in a joint reflection process; Group 2(Accident in VR/NoDebriefing) visually experienced an accident in the VR environment, without post-reflection; Group 3 (NoAccident in VR/Debriefing) participated in a VR environment without an accident but with post-reflection; and Group 4 (NoAccident in VR/NoDebriefing) participated in a VR environment without an accident and without post-reflection. Data was collected over three weeks, and the sessions were individual and lasted approximately 45 minutes per person. The different stages of the process were, Stage 1 (pre-self-report measures), Stage 2 (pre-post behavioral measures), Familiarization scenario, Scenario 1 (pre-behavioral measures), Debriefing/Nodebriefing, Scenario 2 (post behavioral measures), and Stage 3 (post self-report measures). Therefore, the analysis was twofold. The pedestrian behavior was tested using both self-report measures (i.e., using Walking Behaviour Questionnaire) and behavioral measures (i.e., pedestrian behavior in VR). Pre-post data were collected in both cases. Moreover, Multivariate analysis (MANOVA) and Generalised Linear Mixed Models (GLMM) were applied for statistical analysis.

Conclusions, Expected Outcomes or Findings
The main results revealed that:
-(a) Participants reported a general reduction in the number of violations of the norms, regardless of the condition. Although MANOVA results revealed nonsignificant differences between the four groups (Pillai’s Trace = .207 , F= .962; df= 9.117; p= .475), there was a main effect on pedestrian behaviour regarding pre-post measures, in particular, there was a significant reduction in the number of violations (F (1,84)= 8.60 ; p < .005), as also shown by descriptive analysis .
-(b) There was a significant reduction in the number of violations committed in VR (i.e., crossing when the traffic light is red, in the condition where participants previously experienced an accident (X² (1) = 15.04; p < .001). These results support the potential of using VR environments to improve pedestrian behavior.  Although the GLMM revealed no main effect of the variables, there was a significant interaction between receiving debriefing or not and the time (χ² (1) = 4.685; p = .03), in other words, there were differences between pre-post, depending on whether the participants received debriefing or not.

In sum, the findings also show that the mere experimentation of an accident in VR was not associated with a reduction in the number of violations and errors and a rise in positive behaviors. However, there was a decrease in violations in all the group conditions. In particular, participants reflected on their opinions in the post, claiming that they had experienced changes in their behavior. However, they did not know whether to associate them with filling in the questionnaire or experiencing VR. In other words, completing the Walking Behaviour Questionnaire might force participants to reflect on their behavior as pedestrians, and in turn, modify it.

References
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-Luo, H., Yang, T., Kwon, S., Li, G., Zuo, M., & Choi, I. (2021). Performing versus observing: Investigating the effectiveness of group debriefing in a VR-based safety education program. Computers & Education, 175, 104316.https://doi.org/10.1016/j.compedu.2021.104316
-Observatorio Nacional de Seguridad Vial (2023). Siniestralidad mortal en vías interurbanas 2022; Dirección General de Tráfico: Madrid, España
-Osorio-García, D., Hernández-Pulgarín, G., & Escobar, D. A. (2023). Profiles of pedestrian risk behavior while crossing the street. Safety science, 163, 106120. https://doi.org/10.1016/j.ssci.2023.106120
-Purcell, C., & Romijn, A. (2020). Teaching children road safety using a simulated environment. Journal of Education and Educational Development, 7(1), 44-54. https://doi.org/10.22555/joeed.v7i1.2948
-Schneider, S., Maruhn, P., Dang, N. T., Pala, P., Cavallo, V., & Bengler, K. (2022). Pedestrian crossing decisions in virtual environments: behavioral validity in CAVEs and head-mounted displays. Human factors, 64(7), 1210-1226. https://doi.org/10.1177/0018720820987446
-Seo, H. J., Park, G. M., Son, M., & Hong, A. J. (2021). Establishment of virtual-reality-based safety education and training system for safety engagement. Education Sciences, 11(12), 786. https://doi.org/10.3390/educsci11120786
-Useche, S. A., Alonso, F., & Montoro, L. (2020). Validation of the walking behavior questionnaire (WBQ): a tool for measuring risky and safe walking under a behavioral perspective. Journal of Transport & Health, 18, 100899.
-Useche, S. A., Hezaveh, A. M., Llamazares, F. J., & Cherry, C. (2021). Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians. Accident Analysis & Prevention, 150, 105942. https://doi.org/10.1016/j.aap.2020.105942


 
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