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Technology to support collaborative learning has come a long way. Interactive tabletops support collaboration when correctly integrated in activity design. While these devices can now, in principle, be purchased by the general public, wide adoption in schools is hindered by their high cost and lack of mobility. In this paper, we analyze the potential technologies that could replace such devices. After developing a dozen prototypes to further test the potential of the most promising technologies, we found one robust, affordable and accurate solution: SPART (on-Surface Positioning for Augmented RealiTy) allows augmenting any flat surface (images etc.) with tablets or smartphones, addressing both affordability and mobility. This paper focuses on the technological innovations that were designed for SPART. [For the full proceedings, see ED659933.]

This paper introduces CoCo, a system designed to support and encourage collaborative learning among colocated students sharing a single mobile device. It provides teachers with the possibility to create digital lessons, configure parameters for collaborative activities such as the number of students and tablets, and monitor students' progress. On the other side, students use the tablet mobile application with an implemented split screen feature which can support up to four colocated users. This approach could be advantageous for organizations with limited technology resources and a restricted budget. [For the full proceedings, see ED659933.]

This paper discusses two "GeoGebra" applets, "Radical" and "Parabola," that are designed to strengthen the conceptual understanding of specific topics in algebra. The design and pedagogical basis of the applets are presented. The integration of the applets in teaching Grade 9 mathematics in a partner high school in the Philippines is then discussed. Finally, we report feedback gathered from students and teachers during this integration. Their feedback indicates the potential of these applets for improving students' learning of algebra. [For the full proceedings, see ED659933.]

This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104 participants, which consisted of two parts. First, we evaluated their self-efficacy levels using a survey designed to assess their perceived self-efficacy levels before and after their tests. Second, we asked participants to pilot a drone in a virtual environment and complete a series of races as quickly as possible. Our findings demonstrate that self-efficacy does indeed affect the individual performance, as we observed a clear correlation between self-efficacy levels and task completion times. [For the full proceedings, see ED659933.]

Among the many options for a learning management system (LMS), Office 365 is one of the most popular among colleges and universities in the Philippines and abroad. While there are substantial studies conducted on the use of LMS for online communication in general, action research conducted to a specific higher education institution is still needed to produce immediate evidence that are readily applicable to a particular academic milieu. This study aims to generate a substantive grounded theory that can be immediately applied to the research writing courses in St. Jude College of Dasmariñas, Cavite (SJCDC). Twenty-two private conversations in Microsoft Teams were selected and analyzed using a grounded theory approach. The results revealed that "routes of online communication," "functions of online communication," "the role of the research instructor," and "student feedback" constitute the dynamics of students-instructor online communication in Microsoft Teams. Therefore, consideration of the multiple aspects presented in the R2F2 model for online communication is necessary to achieve greater understanding of the dynamics of students-to-instructor online communication in research. As such, continuous use of Microsoft Teams, faculty training emphasis on effective online communication using Office 365, and verificatory studies for other courses beside research are recommended for SJCDC.

Global Employability Skills are skills that students acquire during their study period, that are in addition to their academic knowledge and skills, and that would help in their careers. As students continue their university journeys, they often overlook or underestimate the importance of developing Global Employability Skills that employers may consider important for their jobs. In this paper, we present a mobile application, the GES App, designed to help students recognize, document, and articulate their skills to their prospective employees. The GES App is designed to stimulate university students to reflect upon their experiences and assess the skills they may develop outside of their formal university studies. This paper presents how such an app could support students plan their careers and develop their Global Employability Skills that would make them more attractive to their future employers. A use case scenario is described to illustrate the role the GES App could play, from the perspectives of students, staff, and employers. [For the full proceedings, see ED639391.]

This paper introduces web viewers for educational VR contents. Recently, many types of VR goggles have been released as commercial products and many entertainment applications for them have been created. However, educational VR contents have been created so far are not so many because the creation of VR contents is time consuming task. We need to create many educational VR contents to enhance educational efficiency using VR technology. On the other hand, many types of scanning devices have been researched and developed, e.g., Lidar cameras, 360VR cameras and so on. Using these scanning devices, we can obtain 3D data like Point Cloud Data (PCD), 3D model data, 360VR images/videos. To use these 3D data as educational VR contents, we need viewer applications for them. In this paper, the authors propose such viewer applications as web services. The proposed web viewers also have functionality to upload 3D data from users' web-browser to the web-server on that the web viewers are stored. Therefore, it becomes possible for users like teachers to provide other users like students with educational VR contents as web contents. In addition, as the proposed web viewers support VR goggles, they provide students with immersive environments. [For the full proceedings, see ED639391.]

This paper discusses the "Just Keep Solving" apps that are designed based on deliberate practice model for developing mathematical skills. Features of deliberate practice include well-defined goals involving areas of weakness as determined by a knowledgeable other such as a teacher. The integration of game design features provides a positive environment wherein the learning goals critical in a deliberate practice model are emphasized. Possible strategies for integrating the apps in a classroom are also discussed using Hughes, Thomas and Scharber's RAT (Replacement, Amplification, Transformation) framework. The games can replace traditional pen-and-paper classroom activities, amplify learning by personalizing a student's experience and providing opportunities for deliberate practice, and transform instruction from being teacher-centered to student-centered. [For the full proceedings, see ED639391.]

This paper discusses the distribution, through a digital datacasting framework, of mathematical resources for Grades 1 to 7 to two schools in a community in the Philippines. Among the mathematical resources made available, are mathematical applications (apps), which run on mobile technologies, that have been created to help in the mathematical learning of students in a remote setting. The distribution is facilitated by the RuralCasting set-top box, a developed custom set-top box capable of receiving digital TV broadcasts and providing local content access through its Wi-Fi network. This paper presents the performance of the set-top box in distributing the mobile mathematical apps, and a short discussion on the mathematical applications deployed. [For the full proceedings, see ED639391.]

The increasing technological development of computers, tablets and smartphones has enabled a rapid increase in the adoption of mobile technology for language teaching and learning, and numerous applications that provide easy access for any learner without limitations of place and time have been developed. This paper shows the study of grammatical treatment using corrective feedback supported by mobile applications. The study subjects were first-level students of the language institute, where a control and experimental study was carried out. The experimental group was evaluated with paper-based assessments and the control group with the Canvas mobile application. Subsequently, a statistical analysis was performed for data analysis. The results show that there was a 4.9% improvement in the grades of students who used the application and received corrective feedback. [For the full proceedings, see ED639391.]

In today's modern age, digital technologies are an essential part of everyone's life, so students must learn to use them in primary school. The specific competences defined in the European Digital Competence Framework DigComp 2.1 (2017) are divided into six areas. The Ministry of Education of the Czech Republic has subsequently drawn on this document to add digital competences to its Framework Education Programme (FEP). For this reason, a research experiment was conducted in the context of primary school teaching, which included the design of several specific lessons. The aim of this experiment was to test the research question of whether online collaboration between students using the BYOD model would lead to the acquisition of the subject curriculum, as well as the acquisition of selected digital competences. Therefore, the aim of this paper is to present a design of a Geography teaching method in which students develop not only their subject knowledge but also selected digital competences, using the H5P application and the creation of a multimedia learning object, and to present the results of the research carried out. The paper includes a description of the individual lessons, the tasks set for the pupils and the methodology for the teachers. [For the full proceedings, see ED639391.]

This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation. We also present the knowledge and system architecture for integrating LLM in the °'°Kobi system. Finally, this paper discusses some relevant aspects concerning the system's application in a real educational context and briefly reports its preliminary assessment. [For the full proceedings, see ED636095.]

The integration of ChatGPT in Personal Learning Environments (PLEs) has emerged as a promising approach to personalized learning in tertiary education. ChatGPT is believed to have the potential to transform traditional higher education into a more personalized, quality-driven, and student-centered learning experience that fosters critical thinking, self-regulated learning, and creativity. While recent studies have highlighted the potential benefits of ChatGPT in enhancing personalized learning experiences, there are several risks and challenges that need to be addressed. This paper reviews relevant literature on ChatGPT and PLEs and identifies key risks and challenges associated with their integration, including ethical concerns, data privacy, technical issues, and user acceptance. Meanwhile, the paper also proposes ways and thoughts for the future implementation of ChatGPT in PLEs. The paper concludes that ChatGPT has significant potential to facilitate a new round of educational revolution which pushes educators to reconsider why to teach, how to teach, and what to teach. [For the full proceedings, see ED654100.]

Teaching robotics courses online is challenging due to the complexity of the interdisciplinary topics involved. One of the most challenging topics is 3D coordinate transformations. Students often struggle to grasp the concept of 3D coordinate transformations and their relevance to real-world robotic applications. This paper applies the Scholarship of Teaching and Learning methodology to address this challenge and shares the self-evaluation assignments given to students to gradually enhance their ability to solve a real-world robotic navigation problem -- a crucial skill required in almost all robotic applications. Each assignment includes an informative description that explains the purpose of the task and its connection to the next assignment. Manageable MATLAB resources are provided in each assignment, allowing students to study fundamental Matlab scripts and use MATLAB Grader for self-evaluation before submission. The instructor provides feedback on incorrect answers through MATLAB Grader. The assignments focus on problem-solving and can be automatically graded, building upon prior work done by the instructor. The paper will also detail strategies for motivating students to engage with these challenging assignments and how the instructor assists distracted students in catching up with any missing assignments. [For the full proceedings, see ED656038.]

The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may be at risk. The bot's ability to quickly create high quality papers, sometimes complete with reference material, has led to concern that these programs will make students too reliant on their ability and not develop the critical thinking skills necessary to succeed. The rise in these applications has led to the need for the development of detection programs that are able to read the students submitted work and return an accurate estimation of if the paper is human or computer created. These detection programs use natural language processing's (NLP) ideas of perplexity, or randomness of the text, and burstiness, or the tendency for certain words and phrases to appear together, plus sophisticated algorithms to compare the essays to preexisting literature to generate an accurate estimation on the likely author of the paper. The use of these systems has been found to be highly effective in reducing plagiarism among students, however concerns have been raised about the limitations of these systems. False positives, false negatives, and cross language identification are three areas of concern amongst faculty and have led to reduced usage of the detection engines. Despite the limitations however, these systems are a valuable tool for educational institutions to maintain academic integrity and ensure that students are submitting original work. [For the full proceedings, see ED656038.]

This paper discusses the steps involve in project development for developing the mobile application, namely Blood Bank Application and developing the convertor for software testing. The project development is important for Computer Science students for them to learn the important steps in developing the application and testing the reliability of the application. The first step involved is the development of the mobile application. Then the convertor is developed to convert the mobile application in ".apk" format into Java program in ".java" format. The java program is then tested under Eclipse environment using JUnit. Finally, the Java program is tested for its capability of generating test cases using SenaTLSParser. The comparison of the results of the time taken to produce test cases is presented using Junit and SenaTLSParser. Based on the results, SenaTLSParser is more reliable compared with JUnit since its response time is less than JUnit. The whole steps involved in this project development are discussed in this paper. [For the complete proceedings, see ED655360.]

This paper examines the impact of self-directed pronunciation practice using "Google Translate" (GT) on the acquisition of French liaison (the production of latent consonants when they appear in consonant-vowel contexts across words: /z/ in le/za/mis 'the friends'). Second-language (L2) French learners completed homework activities on GT to practice pronunciation, utilizing the tool's Text-To-Speech (TTS) and Automatic Speech Recognition (ASR) capabilities. Using a pretest/posttest design, the acquisition of liaison was assessed in terms of phonological awareness, perception, and production. The results indicated that while the L2 French learners significantly improved in their ability to "produce" liaison, their awareness and perception were not affected due to ceiling effects. Overall, learners reported positive views of their GT-based, self-directed learning experience. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.]

This paper introduces "FineTune," a mobile application currently in development that features a gamified version of High Variability Phonetic Training (HVPT). The aims of this paper are twofold: (1) to outline the theoretical motivation for the app's features, which includes a discussion of HVPT, gamification, and Self-Determination Theory (SDT), and (2) to describe how "FineTune" functions as a mobile application, considering the theories that informed its design. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.]

Mobile technologies illustrate a positive effect when used in mathematics learning. However, user experience evaluations are mostly quantitative. The study adopted a qualitative case study approach using semi-structured interviews to examine the experiences of educators at a special needs school in the Western Cape, South Africa. Thematic analysis of the interview data was performed using an inductive approach. The data revealed five themes, and the connections between these themes shed light on the educators' experiences with Siyavula. [For the full proceedings, see ED659933.]

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score labels. However, since scoring is a subjective process, these human scores are noisy and can be highly variable, depending on the scorer. In this paper, we investigate a collection of models that account for the individual preferences and tendencies of each human scorer in the automated scoring task. We apply these models to a short-answer math response dataset where each response is scored (often differently) by multiple different human scorers. We conduct quantitative experiments to show that our scorer models lead to improved automated scoring accuracy. We also conduct quantitative experiments and case studies to analyze the individual preferences and tendencies of scorers. We found that scorers can be grouped into several obvious clusters, with each cluster having distinct features, and analyzed them in detail. [For the complete proceedings, see ED630829.]

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for the regression-based models (e.g., stepwise selection or LASSO), we are unaware of their application to student modeling. Such automatic methods of model creation offer the possibility of better student models with either reduced complexity or better fit, in addition to relieving experts from the burden of searching for better models by hand with possible human error. Our new functions are now part of the preexisting R package LKT. We explain our search methods with two datasets demonstrating the advantages of using the tool with stepwise regression and regularization (LASSO) methods to aid in feature selection. For the stepwise method using BIC, the models are simpler (due to the BIC penalty for parameters) than alternatives like BestLR with little lack of fit. For the LASSO method, the models can be made simpler due to the fitting procedure involving a regularization parameter that penalizes large absolute coefficient values. However, LASSO also offers the possibility of highly complex models with exceptional fit. [For the complete proceedings, see ED630829.]

Physical programming (PP) is defined as the design of interactive physical systems between the real and virtual worlds using a combination of software and hardware. A physical programming platform (PPP) defines a structure that includes hardware and software where such applications can be made. The aim of this study is to introduce the MIDEP computer card, which can be used at all levels of education, does not require a computer and can be used as a computer, and to evaluate its usability in physical programming training. In the study, which was designed with a one-group pretest-posttest experimental model, the evaluation process was carried out in two stages with two different study groups. The study group of the application consisted of teacher candidates in the first stage and K12 level students in the second stage. In data collection, academic achievement tests prepared separately for pre-service teachers and K12 level students and focus group interviews with students were utilised. The findings show that the training given by using MIDEP card and MIDEP workbook increased the academic achievement of the students in physical programming at a statistically significant level. In addition, as a result of the findings, it can be said that the projects and activities included in the training exhibited a balanced distribution in terms of the gains related to the sub-dimensions of hardware, software and Internet of Things, and that the tools and materials used allowed students without any experience to learn gradually from easy to difficult. [This paper was published in: "EJER Congress 2023 International Eurasian Educational Research Congress Conference Proceedings," Ani Publishing, 2023, pp. 570-590.]

Mobile devices, augmented reality (AR), and outdoor games can be mobilized to promote Education for Sustainable Development and, thus, to sensitize to nature conservation. The EduCITY project combines mobile learning, AR, and environmental sensors towards sustainability education and creates opportunities for citizens to contribute to their city's sustainability. This paper presents a study that articulates the previous project, the EduPARK, with the current one, the EduCITY. While EduPARK was developed within an urban park, EduCITY expanded its geographical area to the entire city. This study aims to analyze students' perceptions regarding changes in their nature conservation attitudes after exploring an urban green park in a mobile AR game-based learning activity. For this purpose, 233 basic education students (from school-year 5 to 9) played a game for environmental education, available in the EduPARK app, at the Infante D. Pedro Park (Aveiro, Portugal). Through a mixed method approach, data collection was focused on students and included two questionnaires, applied before and after the game activity; a focus group guide; and an observation grid. Results show a strengthening of positive attitudes towards nature conservation. Moreover, students mentioned that their nature conservation future intentions are focused on preserving natural resources, combating resources' waste, recycling waste, reducing pollution, and protecting fauna and flora. Students also revealed willingness and concern to teach friends and family about what they have learned with the EduPARK game. The EduCITY intends to give continuity to these practices throughout Aveiro city. This is anchored on a community-based participatory project integrating AR location games based on challenges, to be explored in the city, in formal, non-formal, and informal educational contexts, in a socio constructivism approach. This study adds to the literature on education for Sustainable Development, by revealing that it is possible to sensitize school students to nature conservation through mobile AR game-based approaches in the outdoors, which can be a first step to promote positive nature attitudes. [For the full proceedings, see ED639391.]

In order to keep up with the speed of science and technology in today's conditions, it is important for human beings to constantly renew themselves and adapt to the changing world and living conditions. In this content, education plays a significant role, and art education, in particular, hold a pioneering role in nurturing civilized individuals. Art education, which is considered important at a young age, takes on the locomotive task of developing a child's creative power and integrating the knowledge and skills they acquire into real-life applications by incorporating current techniques and tools. The importance of drawing in a child's development can be expressed by its role as a means for perceiving the external world and self-expression. Studies also demonstrate that children utilize the knowledge and skills they acquire on touch screens in their real lives. Drawing applications with fun themes for children attract attention. However, these applications are generally designed for entertainment purpose and targeted towards children who can read and write. The lack of an educational software that provides audio guidance and teaches drawing with the support of artificial intelligence has led to the development of the 'Artificial Intelligence-Assisted Directed Drawing Technique' as identified in the literature research. This technique supports a child's creativity, enhances their fine motor skills, increases their digital literacy, and provides an enjoyable learning experience. Additionally, it enables children to create original drawings and express their ideas while guiding their progress and supporting their learning process. The artificial intelligence-assisted directed drawing application is believed to contribute to the development of a child's self-drawing skills, beneficial use of technological devices like tablets by preschoolers, and increasing the interest and talent of future generations in artistic activities. [This paper was published in: "EJER Congress 2023 International Eurasian Educational Research Congress Conference Proceedings," Ani Publishing, 2023, pp. 511-519.]

Due the wideness of the term Physical Computing, there is a need for a better structure of this topic. This paper is about an approach of structuring this field by finding attributes of different physical computing devices which can be used in class. Those attributes are meant to enforce teachers as well as researchers to analyze different devices from a pedagogical perspective in order to use those devices in class and use their full educational potential. [For the full proceedings, see ED636095.]

The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any discourse, uncover blind spots, and enhance a scholar's perspective by representing text as a network graph with relevant topical clusters and their relations. To understand the tools' effectiveness in analyzing scholarly articles, we used a set of 15 abstracts and 15 full papers. Our findings revealed that InfraNodus could indeed create topical clusters and meaningful patterns from abstracts, but its generated questions and summaries lacked relevance and coherence with the content. A deeper understanding of how the AI operates within the tool would benefit researchers seeking to optimize their literature review processes. [For the full proceedings, see ED636095.]

This paper presents a mobile application aimed at enhancing the financial literacy of college students by monitoring their spending patterns and promoting better decision-making. The application is developed using the agile methodology with Android Studio and Flutter as development tools and Firebase as a database. The app is divided into sub-applications, with the home page serving as the program's integration point, displaying a summary of the user's financial progress. The app generates valuable insights into the user's current and future financial success, utilizing data analytics and machine learning to provide detailed and summary insights into the user's financial progress. The machine-learning algorithm used in this app is linear regression, which predicts the user's income and expenses for the upcoming month based on their historical spending data. In addition, the app highlights deals and student discounts in the user's vicinity and links to financial articles that promote better financial planning and decision-making. By promoting responsible spending habits and providing valuable financial insights, this mobile application aims to help students become financially literate and make informed financial decisions for future. [For the full proceedings, see ED654100.]

Artificial intelligence has potentiated changes in higher education. In this position paper, we propose to discuss dimensions that shape higher education and that can be transformed by the mobilization of Artificial Intelligence: teaching-learning processes (from the perspectives of scholars and students), research (from the perspective of professional researchers, students and advisors), management of organizations (from the perspective of managers, subordinates and students), and the relationship with the outside (the look from inside to outside, as well as from outside to inside). To this end, a document collection and analysis was carried out to support our argument about the new challenges and the potential that emerges from the existence and application of artificial intelligence in higher education. As this change, like any transformation, will have positive and negative aspects, some implications of both a theoretical and more practical nature of these challenges for academics, students and other stakeholders in higher education institutions are also discussed. [For the full proceedings, see ED654100.]

A typical first computer science course (CS1) introduces the student to coding conventions, variables, methods, control structures, conditionals, and the semantics of classes and objects. Advanced concepts of inheritance, polymorphism, abstract classes, interfaces, and their use in the design process, are covered in a second-level course (CS2). CS2 concepts are abstract, requiring reinforcement through considerable practice. It has been observed that traditional CS2 projects fail to capture the imagination and enthusiasm of students and are seldom useful past the end of the semester, yet interesting projects drawn from the natural sciences may be either too complex or too algorithmic to facilitate the required design experience. Game programming, in contrast, is purpose-driven and has great appeal. Unfortunately, popular game engines hide the engine's complexity and provide too much built-in functionality, relegating the user to writing glue logic in a scripting language. What is needed instead is a challenge that will provide transferable skills for solving generic problems using a statically typed language. The authors of this paper describe a Java game engine and lesson plan they developed for one semester of object-oriented instruction for students who have completed CS2. Early anecdotal results demonstrate that students find the approach challenging, informative, and incentivizing. [For the full proceedings, see ED656038.]

The paper presents an attempt made to use the Arduino platform and the Scratch for Arduino (S4A) environment for the implementation of an educational project for 6th grade primary school students in a classroom attended by refugee, immigrants, and indigenous students. The aim was to investigate the opportunity to use educational robotics as tools to support the social interactions and social inclusion of refugee children in the classroom community. The research was a case study implemented in a primary school in rural Greece. Students had to work in groups to design, build, and program a construction that simulates an "escape room." Students of each group solving a riddle of the other groups must discover a code to unlock the door of the "escape room," based on a series of six worksheets of increasing difficulty to create their final construction. The research tools were a diagnostic questionnaire, an evaluation questionnaire, specially designed worksheets, an observation sheet for participatory observation, and sociometric test tools. Based on the findings it could be supported that educational robotics are able to support social interactions of refugee children to a certain extent. The intervention supported social interactions and collaboration among students but without solving the problem of difficulties in the social integration of refugee students in the classroom community. Verbally all students stated that they had not any problem cooperating with refugee students, but this was not strongly reflected in practice. Greek students interacted strongly with immigrant students and refugee students seemed to prefer interacting with immigrant students too. [For the full proceedings, see ED656038.]

Career development is an important aspect of every young person's life as it helps them identify their skills, interests and goals and find the right career path for themselves. Career skills are a broad range of competencies and abilities that are necessary for success in the workplace. Developing them through education, training and experience can help students identify them and achieve their career goals. Design thinking is a powerful approach for this purpose. With its components-problem solving, innovation and creativity, collaboration and teamwork, iterative approaches, and empathy-design thinking can help students develop the skills they need to succeed in a wide range of professional fields. The specificity of the hackathon as a form of organization further contributes to building these essential skills that are directly related to students' career development. This paper explores the possibilities of forming career skills in students through design thinking hackathons. [For the complete proceedings, see ED655360.]