bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and Opportunities for Designing and Implementing Ubiquitous Game-Based Learning to Cultivate Digital Citizenship in Thailand
Authors: PANJABUREE Patcharin , HWANG Gwo-Jen , SRISAWASDI Niwat , INTARAKAMHANG Ungsinun , POOMPIMOL Sasipim
Published: January 2025

Digital citizenship has become an essential aspect of modern education. As technology becomes increasingly ubiquitous daily, there is a growing need to cultivate digital citizenship skills among students worldwide. Few studies have explored the potential of game-based learning using ubiquitous technologies to enhance digital citizenship education. Game-based learning has emerged as a promising approach to engage learners and promote the development of these crucial competencies. Moreover, ubiquitous learning approaches can provide seamless educational experiences across various contexts and devices. This paper proposes a comprehensive framework for designing and implementing a ubiquitous game-based learning system to foster digital citizenship in the Thai educational context. Drawing on existing research, this study analyzed the challenges and opportunities associated with this endeavor, addressing considerations around technology integration, pedagogical design, and implementation strategies. The study revealed that a ubiquitous game- based learning system could leverage AI-powered personalization to tailor learning experiences and provide real-time feedback to cultivate digital citizenship among Thai K-12 students. The findings also provide valuable insights for researchers, educators, and policymakers interested in leveraging innovative learning approaches to nurture digitally literate and responsible citizens in Thailand.
Reducing Undergraduate Students' Information Technologies (ITs) Anxiety Through Implementation of Blended Learning: A Case Study in the Basic Natural Science Course
Authors: NUGRAHENI Anggiyani Ratnaningtyas Eka , PERMATASARI Anggraeni Dian , WIYARSI Antuni
Published: January 2025

Technology has become a crucial component of teaching and learning since the educational landscape has changed tremendously. Moreover, one of the issues that has arisen due to the advancement of technology in the education sector is students' anxiety about information technologies (ITS). This paper investigates the effectiveness of Blended Learning as a technique for reducing undergraduate students' ITS anxiety. Forty first-year undergraduate students from a public university in Yogyakarta, Indonesia were asked to get involved in this study. Furthermore, one group pre-test and post-test design was utilized. Data were collected using a questionnaire and examined using quantitative analysis. The Wilcoxon signed-rank test was used to deal with non-normal data. The findings revealed that implementing blended learning in the Basic Natural Sciences course could reduce undergraduate students' anxiety about ITS.
Leveraging Generative AI for Automatic Scoring in Chemistry Education: A Web Based Approach to Assessing Conceptual Understanding of Colligative Properties
Authors: YAMTINAH Sri , RAMADHANI Dimas Gilang , WIYARSI Antuni , WIDARTI Hayuni Retno , SHIDIQ Ari Syahidul
Published: January 2025

The integration of artificial intelligence (AI) into educational assessment offers promising advancements in automating the grading process, particularly in complex subjects like chemistry. This study focuses on implementing the Gemini 1.5 AI model to evaluate student responses in a web-based chemistry assessment. The study aimed to assess the effectiveness and accuracy of Gemini 1.5 in grading questions related to stoichiometry, a fundamental concept in chemistry. The assessment involved 320 students who answered five questions one conceptual and four computational—focused on calculating molar quantities and applying related formulas. The AI system was utilised to evaluate the responses, providing scores based on criteria such as the correct application of formulas, calculation accuracy, and the proper use of scientific units. The study's findings indicate that Gemini 1.5 demonstrated high accuracy, with precision and recall metrics consistently ranging from 0.87 to 0.93 across the different questions. These results suggest that the AI system effectively delivered consistent and objective grading, minimising errors such as false positives and negatives. The AI's ability to provide immediate and detailed feedback highlights its potential to enhance learning by reinforcing key concepts and addressing areas where students may struggle. The conclusion drawn from this study is that integrating Gemini 1.5 into the educational assessment process improves grading efficiency and supports personalised learning by offering tailored feedback. This integration has significant implications for reducing the workload on educators while ensuring fair and accurate assessments, ultimately contributing to a more effective educational experience for students.
An Estimation of Student Well-Being Using Experience Sampling
Authors: NEBRAO Jr. Arthur W. , RODRIGO Maria Mercedes T.
Published: January 2025

This paper presents a study into the well-being of students using the Experience Sampling Method (ESM). The study aims to explore the relationships between locations, activities, and social interactions with emotional states over time, the dynamic interrelations among different emotional states, and the impact of daily activities on the transitions and stability of students' emotional states. The study leverages the Ateneo Experience Sampling App (AESapp) to collect real-time data on students' emotional states, activities, and contexts. Data was collected from 104 college students over two weeks, with participants responding to daily prompts about their emotions and situational contexts. To address the research questions, the study employed data science tools and methods. Findings indicate that leisure activities and social interactions with friends and significant others enhance positive emotions like happiness and engagement. In contrast, interactions with parents and classmates can increase negative emotions such as anger and sadness. The study also highlights the emotional stability provided by structured activities like schoolwork and leisure.
Narrative Introduction Text Generation Support System According to Reader Preferences
Authors: SHIMONAKA Ryusei , KUNORI Kota , KOJIRI Tomoko
Published: January 2025

In order to accomplish learning through extensive reading, readers need to be interested in the narrative. To entice readers to read a narrative, it is necessary to have an attractive and engaging introduction. However, this can be difficult, as reader preferences vary. An attractive introduction should provide "empathy" and "unexpectedness." To support creating such an introduction, this study proposes a method for extracting common and different narrative elements according to the reader's preferred category. This study also proposes a system that supports the extraction of such common and different narrative elements by considering typical elements of the identified category.
Exploring the Entanglement Between Technology and Pedagogy: A Case Study of Knowledge Building
Authors: TAN Yee Yin , TAN Seng Chee , TEO Chew Lee
Published: January 2025

Does technology drive pedagogy, or should pedagogy guide technological integration in teaching and learning? This paper, by examining teachers' implementation of Knowledge Building (KB), argues that this dichotomy inadequately describes the intertwined nature of teaching and learning, especially in approaches like KB. Technologies such as the Knowledge Forum® (KF) are crucial for capturing students' idea development over time, and most KB teachers consider KF a vital tool. However, there is limited understanding of how teachers use KF for KBr and how this shapes KB in classrooms. This study, part of a multi-case investigation aimed at characterising KB design and enactment in Singapore, highlights (a) variability in teachers' KF usage, (b) the presence of several reinforcing barriers to technology integration, and (c) how these barriers influence KB enactment. The analysis showed that three out of five observed teachers faced significant barriers to KF integration, which constrained their KB practices. This study advocates for exploring the 'entangled pedagogy' concept further and invites discussion on how principle-based educational approaches like KB are affected by various contextual factors.
Transforming Student Feedback into Institutional Action Plans: A Data-Driven Approach
Authors: CELESTIAL VALDERAMA Arlene Mae
Published: January 2025

Surveys serve diverse purposes within most organizations. Floating them has evolved into a way for the voice of the customers to express themselves, whether anonymously or brazenly. Several learning institutions and universities have institutionalized data-driven processes and allow students to answer surveys to collect feedback covering their satisfaction in the entire course as the semester concludes. In Jose Rizal University, student feedback is gathered in several survey instruments. One is the Canvas Experience Survey, through which students share their views on their blended learning experience. It seeks feedback on areas where the teaching and learning process could be improved. This research seeks to develop a system that empowers an educational institution to enhance their blended learning offerings by analyzing student feedback for areas of improvement. An analysis of the student responses from Canvas experience survey is presented quantitatively and a qualitative text mining approach comprising of text pre-processing using lemmatization and n- gram, aspect extraction, sentiment analysis employing VADER, and strategic recommendatory statement action plans shall be accessed by institution's respective groups supporting them to the continuous improvement of the teaching and learning cycle implementation of blended learning courses. As aspects were extracted from responses to each question, statement action plans are accessed by the respective office to address these concerns. It expedites the University stakeholders in course improvement cycles in courses offered under the blended learning programs of the University. A concise and periodical implementation of this study is advocated to collect student feedback in a manner where actual comments from students undergo mining and thus evolved to the most important aspects which leads to recommendatory action plans.
An Experience Sampling Study of Student Emotional Life: Preliminary Results
Authors: RODRIGO Maria Mercedes T. , ALAMPAY Liane Peña , LEE-CHUA Queena N. , MORALES Irish Danielle
Published: January 2025

We present findings from a preliminary experience sampling study exploring the association between negative emotions (fear and sadness) and student day-to-day activities and circumstances including online use, location, and companions. Experience sampling is a data collection method in which individuals are asked for self-reports at random times of their waking hours. It is best used when data is episodic or experiential in nature. To this end, we created the Ateneo Experience Sampling App (AESApp), a mobile-based application that collects data about levels of student happiness, engagement, fear, sadness, and anger, as well as contextual information such as who they are with, what they are doing, and where they are. We found that students who reported not being online at the time they were prompted tended to report low levels of these emotions. Similarly, students who reported being with companions reported low levels of fear and sadness. In contrast, those who reported moderate to high levels of fear or sadness tended to be alone. Although the implications are interesting, they are suggestive rather than conclusive because of the small sample size. Moving forward, the research team needs to find ways to increase response rate.
Online Student Testlet-Generation as an Innovation Approach to Student-Created Assessment: Its Learning Effects
Authors: YU Fu-Yun , CHANG Ya-Shin
Published: January 2025

The effect of student question-generation (SQG) strategies on promoting student cognitive and affective development has generally been confirmed by empirical studies. While questions of various types have been included in SQG activities, the potential of testlets as a possible form has yet been closely explored. Given that the inclusion of testlets in international assessment as well as national and local testing is prominent, its learning effects await to be examined. Hence, this study aimed to investigate the comparative effects of online SQG and student testlet-generation (STG) on academic achievement, learning strategy use, learning motivation, learning attitude, and cognitive load. A pre-test and post-test quasi-experimental research method was adopted. Two classes of sixth-grade students (n-54) from a primary school in Chiayi, Taiwan were invited to participate in the 8-week study. The online learning activities were introduced to support the teaching and learning of Chinese language and two systems developed by the researcher were adopted. Data analyzed by the analysis of covariance technique found no significant differences in any of the observed variables. In other words, both online SQG and STG had comparable learning effects on all examined variables. Given the comparable learning effects of STG and SQG for supporting primary school student learning (as substantiated by this study) and the many educative effects of SQG (as having been well attested by numerous empirical studies), instructors are encouraged to incorporate testlets as an innovative approach to student-created assessment. This work is significant in providing empirical evidence on the comparable learning effects of SQG and STG on cognitive and affective outcomes across several aspects of educational importance, and also in expanding the realm of SQG as well as innovative student-created assessment approaches.
Contextual Factors Affecting Large-Scale Educational Technology Implementation: Policy Intention Versus Practice
Authors: PRASAD Arjun , WARRIEM Jayakrishnan , IYER Sridhar
Published: January 2025

Education policy implementation is a highly complex process involving multiple stakeholders, including policymakers, administrators, teachers, students, parents, and community members. The interactions and ongoing decision-making process by the different stakeholders can immensely affect the policy outcomes. The process being highly contextual, varying with culture, politics, and socio- economic conditions, it is crucial to study the role of different factors/determinants influencing the design and implementation of policies in different settings. The present study is a preliminary attempt to categorize and analyze some of the perceived realities of different stakeholders involved in the implementation of an education policy. Two determinant types extensively used in implementation research were used to analyze the data. When passed through multiple levels, the policy guidelines get shaped and reshaped by the local agenda and respective modus operandi of each stakeholder involved in the implementation process. The results emphasize the need to develop strategies to better understand the role of different contextual factors — how and why they influence the implementation of education policies involving technology.
Code Visualization System for Writing Better Code Through Trial and Error in Programming Learning: Classroom Implementation and Practice
Authors: MAEDA Shintaro , KOIKE Kento , TOMOTO Takahito
Published: January 2025

In programming education, refining code is crucial. Trial and error is one effective method for achieving this refinement. However, it can be challenging for learners to maintain motivation during conventional programming exercises due to them not knowing how good their code is and not being able to continuously perform trial and error. To address these issues, it is important to establish criteria for evaluating code quality and have learners objectively recognize them. Therefore, we propose and implement a method that uses a code visualization system that visualizes quality indicators, a ranking system, and a code viewing function based on that ranking. Evaluation of this system when implemented in a university classroom suggests that students write better code, based on these quality indicators, when they perform trial and error by themselves or by viewing other learners' code.
AI and Data Science Literacy Framework for Educators
Authors: NASHARUDDIN Nurul Amelina , MOHD SHAREF Nurfadhlina , OMAR Mohd Khaizer
Published: January 2025

Advancements in artificial intelligence (Al) technology have led to increased interest in Al in education, with educators arguing for Al literacy to effectively incorporate Al into teaching methods. Proficiency in data science (DS) is crucial due to the vast amount of available educational data. Al and DS literacy focusses on conceptual, pedagogical, and ethical aspects of six knowledge areas: Al basics, data science literacy and Al integration, ethical Al and responsible data use, Al focused on people, Al pedagogy, and Al-based personalised learning. Technical skills, such as programming, are also important, but advanced technical skills such as programming skills are not emphasised. A pilot framework for Al and DS literacy is suggested, aiming to provide educators with the necessary knowledge and skills to prepare students for the digital age.
Optimization of Non-Verbal Information for English Conversation Agents Using Interactive Evolutionary Computation
Authors: SHIMOSAKA Yuma , AYEDOUN Emmanuel , TOKUMARU Masataka
Published: January 2025

As English becomes increasingly important globally, many agent-based conversation practice environments struggle to maintain learner motivation due to a lack of personalized behavior. This study proposes optimizing a conversational agent's non-verbal cues—such as nodding and voice characteristics—through interactive evolutionary computation to enhance learners' motivation. Participants engaged in role- play scenarios across eight settings, providing feedback after each interaction. The agent's behavior was iteratively optimized, and approximately 90% of participants reported increased willingness to interact, suggesting that personalizing non-verbal behavior can significantly improve motivation in language learners.
The Effect of Collaborative Anchoring on the Development of Digital Curation Skills Among Nursing College Students
Authors: CHANG Chun-Hao
Published: January 2025

This study aimed to examine the effects of collaborative anchoring on the development of digital curation skills among nursing college learners engaged in healthcare animation design activities. A cohort of thirty participants was recruited and evenly distributed into six groups to participate in three distinct animation design sessions, each incorporating different instructional interventions. Initially, participants engaged in a face-to-face discussion, during which they reviewed and critiqued the strengths and weaknesses of an assigned healthcare animation video. Subsequently, they participated in an online collaborative anchoring session utilizing a cloud-based application, SyncSketch, to critique another animation video within a structured digital environment. The final session involved anonymous online collaborative anchoring, wherein the same task was conducted, but all feedback was provided anonymously. A six-genre collaborative anchor framework was devised to analyze discrepancies in anchoring across the three instructional sessions. Additionally, a debugging task was administered to assess variations in digital curation skills following the experiment. The findings indicated that the use of SyncSketch's timeline anchors significantly enhanced participants' focus and engagement, resulting in more precise and targeted feedback compared to traditional face-to-face discussions. Furthermore, the anonymous online collaborative anchoring fostered a more equitable peer review dynamic, ensuring that all participants could contribute meaningfully. The study concludes by discussing the implications of integrating collaborative anchoring into nursing education as a means to enhance digital curation skills.
Improving Engagement in Museums Through Virtual Reality Educational Escape Rooms (VREER): A Framework and Usability Study
Authors: VIDAL Jr. Eric Cesar E. , CALUYA Nicko R. , LEE Joan Dominique L. , KO Kenneth King L. , JOCSON Jed Laszlo O. , Go Gerick Jeremiah Niño N.
Published: January 2025

This paper describes a framework to support the development of VR-based Educational Escape Rooms (VREER) that are based on real-world historical locations, such as museums and cultural sites. This framework facilitates the development of single-player escape room games, with support for capturing real-world places, environments, and objects to use in virtual settings, as well as defining hand-based interactions and inventory management with the said objects. We also describe the ongoing development of a VREER game based on a Philippine museum, built entirely using this framework. A preliminary usability study is conducted on this VREER game with the said museum's personnel, hoping to gain insights on the game's effectiveness with regards to motivating players to learn about the museum's exhibits and history.
OKLM: Open Knowledge and Learner Model Using Educational Big Data
Authors: TAKII Kensuke , LIANG Changhao , OGATA Hiroaki
Published: January 2025

This study proposes the Open Knowledge and Learner Model (OKLM), a novel framework that integrates Learning Analytics (LA) with Digital Twin (DT) technology to model learners' knowledge, internal states, and environments. The OKLM DT framework addresses the limitations of traditional LA systems by enabling accurate estimation of knowledge states and personalized learning strategies. We developed a conceptual framework for the learner DT using LA, verified the accuracy of the OKLM-based DT model, and applied it to a learning support system. Initial experiments in an English literature recommendation system showed that, while the recommendations did not significantly enhance learners' motivation, they were well-received and positively correlated with increased engagement among highly motivated learners. A subsequent study involving Intensive Reading (IR) support for EFL learners further validated the model's effectiveness. Additionally, experiments targeting educators demonstrated that the OKLM's visualization tools were valuable for understanding learner characteristics and tailoring teaching materials. These findings suggest that OKLM can enhance the versatility and accuracy of learner models across various educational contexts, offering a significant advancement in the field of LA.
Lecturer Performance Assessment System Based on Tridharma Using SAW Method
Authors: GUTERRES Anita , FREITAS Abrão , GUTERRES Antonio
Published: January 2025

Each lecturer has a mandate to fulfill their responsibilities which include teaching, research, and community service. This is complemented by supporting activities such as participation as resource persons in various academic and non-academic activities, both as participants and as committee members. The problem that occurs is that there is no system that evaluates the performance of lecturers in implementing these responsibilities. This affects the quality of their performance. It is hoped that the implementation of the lecturer performance appraisal system can help tertiary institutions assess and evaluate lecturer performance by determining each of the criteria. The SAW method is applied in this study because it determines the weight of each predetermined criterion. The process then continues with normalization using the equations in the method, followed by ranking to select the best alternative, in this case, the lecturer with the best performance based on the calculated points for each criterion. This research produces a system that can determine the performance results of lecturers and identify the best-performing lecturers through ranking based on the results of calculations using SAW.
Exploring the Young Learners’ Interactions with AI-generated Multimodal Feedback in Collaborative Writing
Authors: GUO Xinyu
Published: January 2025

The rapid transformation of education by artificial intelligence (Al) has emerged as a pivotal solution to language learning. Recently, Al-enabled automated feedback learning systems signify a growing effort to support the teaching and learning in Chinese language. However, it can be found that recent scholars have primarily focused on the utilization of automated feedback for individual self-regulated learning and the application of unimodal feedback to augment students' learning outcomes. There is limited research on how Al-generated multimodal feedback can promote meaningful learning process and engaging students within collaborative language learning environments. Consequently, this research proposes employing a mixed methods approach to investigate how Al-generated multimodal feedback (comprising Al-generated image feedback, Al-enabled audio feedback, and automatic scoring) can promote vocabulary learning for young learners in collaborative Chinese language learning activities. This investigation will focus not only on students' learning outcomes but also on the learning process and learner enjoyment, as a way to explore the multiple dimensions of feedback in learning. This research seeks to gain insights into effective pedagogical strategies and their implications for Al-generated multimodal feedback in collaborative language learning.
Global Trends in Computational Thinking in Curricula: A Comparative Review
Authors: BONILLA-CASTAÑEDA Martha Nury , VILLALBA-CONDORI Klinge Orlando , CARDONA-REYES Hector , ACRA-DESPRADEL Claudia , TURNER-LAM Kee-Fui
Published: January 2025

Computational Thinking (CT) has emerged as an interdisciplinary cognitive skill, garnering the interest of educators and policymakers worldwide. Through a documentary analysis involving 27 countries, a series of similarities and differences have been observed in the understanding of CT as an essential curricular project in the face of current educational challenges. Indeed, research articles, official reports, and methodological guides were consulted to conduct a conceptual cartographic analysis, which identified significant trends regarding the inclusion of CT in primary and secondary education between 2016 and 2024. Meanwhile, the authors are utilizing this conceptual mapping of CT as part of an ongoing research project aimed at developing a curricular proposal in Colombia.
Developing a Multimodal Learning Analytics Approach for Collaborative Learning and Metacognitive Strategies in Virtual Learning Environments for Primary Science Education
Authors: TAO Lei , SONG Yanjie
Published: January 2025

The growing use of virtual learning environments (VLEs) in primary education offers new opportunities for enhancing student learning. However, understanding and analysing student behaviour in these environments is still challenging, especially in collaborative science education. This research aims to develop and evaluate a multimodal learning analytics (MMLA) approach tailored for primary science education. The study will focus on four key questions: understanding the current state of learning analytics (LA) in VLEs, identifying which data types in MMLA most effectively contribute to insights into student learning behaviours, creating an MMLA approach to support collaborative problem solving (CPS) and metacognitive strategies in VLEs, and improving the visualization of MMLA results for educators and students. To achieve these goals, the research will use a series of studies that collect and analyse multimodal data, including eye-tracking, behaviour logs, and dialogue text. Machine learning and deep learning techniques will be applied to identify critical data types, and these insights will inform the creation of an MMLA approach specifically designed to support CPS and metacognitive strategies. A user-centred design will guide the creation of a visualisation dashboard. This research is expected to contribute to theory by expanding the application of the MMLA approach, critically reflecting on the potential to innovate CPS and metacognitive strategies within VLEs and improving data analysis and dashboard design, and to practice by enhancing tools for primary science education.
Exploring Reading Speed Profiles in EFL Extensive Reading
Authors: ICHIDATE Hatsune , DAI Yiling , FLANAGAN Brendan , OGATA Hiroaki
Published: January 2025

Extensive Reading (ER) is recognized for enhancing English proficiency in EFL learners. Although understanding speed is essential for analyzing reading behavior, limited research has focused specifically on reading speed during ER sessions. This study addresses this issue by analyzing log data from junior high school students engaged in ER activities. Using agglomerative hierarchical clustering, we identified four distinct reading profiles based on Word Per Minute (WPM) changes. Future studies should further explore the impact of these profiles on the effectiveness of ER.
Relationship Analysis Between Procrastination Behavior and Non-Cognitive Abilities
Authors: TAMURA Yasuhisa , MORINO Keito
Published: January 2025

Abstract: The paper explores the relationship between procrastination in academic contexts and three sub-concepts of non-cognitive abilities: self-efficacy, self-acceptance, and self-regulated learning strategies. The study at Sophia University involved collecting data on students' procrastination behavior and non-cognitive abilities through questionnaires and Moodle logs. The findings reveal a weak negative correlation between procrastination and the three sub-concepts. Among them, self-regulated learning strategies showed the strongest negative correlation (-0.28) and were identified as the sub-concept most closely associated with procrastination. The cluster analysis divided participants into two groups: those procrastinating longer and those procrastinating less. The latter group scored higher in self-acceptance and self-regulated learning strategies. The study concludes that while procrastination has a limited correlation with the studied non-cognitive abilities, self-regulated learning strategies stand out as significantly related to procrastination behavior. This sub-concept, linked to effective information processing, appears most capable of influencing students' procrastination tendencies. The paper suggests future research to explore new methods of measuring procrastination to unveil different associations with non-cognitive abilities potentially.
Full-body Interaction Digital Game of Vegetation Succession for Children
Authors: ADACHI Takayuki , MIZOGUCHI Hiroshi , MURATSU Keita , NAMATAME Miki , SUGIMOTO Masanori , KUSUNOKI Fusako , YAMAGUCHI Etsuji , INAGAKI Shigenori , TAKEDA Yoshiaki
Published: January 2025

We developed a full-body interaction digital game “Human SUGOROKU”. Th is game enables elementary school students to enjoy and learn vegetation succession by playing simulation game with their body movement. We conducted this game to elementary school students and effects of the system were investigated with questionnaires. The result showed that the full-body interaction promotes a sense of immersion in the game. This paper describes the structure of this game and the questionnaire results.
Ongoing Formative Assessment with Concept Map in Proposition Level Exact Matching
Authors: PAILAI Jaruwat , WUNNASRI Warunya , HAYASHI Yusuke , HIRASHIMA Tsukasa
Published: January 2025

Formative assessment is widely used in education area for improve learning achievements. And we propose a framework of Kit-Build concept map for utilizing in ongoing formative assessment. Concept map strategy is already proven to represent learner’s understanding and becomes to a suitable strategy for formative assessment. We investigate the proposition of concept map that is constructed by connecting two concepts via linking words. The framework can gather and assess concept maps as learners’ evidence for identifying learners’ state in classroom situation that is a task of formative assessment. It provides assessment result and diagnosis result to instructor. These results are generated by using the proposition level exact matching method of an automatic concept map assessment. The assessment result is the similarity score between instructor’s concept map (Goal map) and learner’s concept map (Learner map). And the diagnosis result is represented in form of concept map with three error types. The errors show the different proposition between goal map and learners map, which is called individual-goal difference map. Both assessment result and diagnosis result provide information about understanding of each learner on lecture content to instructor that is called individual diagnosis. It can contribute instructor’s feedback that is a key of formative assessment. As more as possible to gather and assess learner’s evidence provides more opportunities to instructor for improving learner’s achievements. Providing overview of learners can reduce analysis time of instructor to recognize learners’ understanding. It means instructor can design and provide instructor’s feedback in less time based on group diagnosis of Kit-Build concept map. The group diagnosis includes group map and group-goal difference map. The group map is generated from overlaying all of learners map. It shows common understanding of learners that is used to generate group-goal difference map, this group-goal difference map shows most common misunderstanding. In this paper, we would like to propose the scenario that is suitable for supporting through of learning process since setting goal, gathering evidence of learners and providing effective information to designing instructor’s feedback for improving teaching and learning in classroom situation.
Towards a Social Student Model in a Software Engineering Group Project Course
Authors: ARMSTRONG Edward , MATHEWS Moffat , CHURCHER Neville
Published: January 2025

We describe an observational investigation that explores whether creating open social student models using software metrics promotes reflection. Metric visualisations were shown to six groups in an undergraduate software engineering project course. Seeing their own visualisations prompted reflection on their codebase at a conceptual level as expected; this is as predicted by previous research. When viewing other’s visualisations, the focus changed to comparative statements with reasoning to explain differences showing that this increased performance orientation. Delayed queries showed that engagement was varied but increased in all groups.
A Teachable Agent for the Japanese Dictogloss Learning Support Environment
Authors: KOGURE Satoru , MIYAGISHIMA Kenta , NOGUCHI Yasuhiro , KONDO Makoto , KONISHI Tatsuhiro , ITOH Yukihiro
Published: January 2025

Dictogloss is one of the methods of learning a second language. In dictogloss activity, learners listen to a short text spoken by the teacher, after which they first reconstructs what they have heard individually and then complete the text in discussion with one another. Having already implemented a Japanese dictogloss learning environment without learning partners and a teacher for the beginner level. We focus in this paper on the learning environment for the intermediate learner. We anticipate that the learning by teaching method will help intermediate learners to improve their target knowledge. We have thus implemented teachable agent in our previous environment.
Production of Protein Isolate from Quinoa and Studying of Its Some Physiochemical Properties
Authors:   Biotechnology research center/Al-Nahrain university, Environmental biotechnology dept., Abbas Ayat Adnan
Published: January 2025

Determining the protein isolate’s (PI) chemical makeup, amino acid profile, FTIR, and functional characteristics was the aim of this investigation. Protein, fat, fiber, ash, carbs, and moisture are all present in large amounts in QPI (94.25, 2.43, 0.0, 1.83, 1.56, and 5.92%, respectively).
In this work, we used the techniques of alkaline solubilization and acid precipitation to extract proteins from white quinoa with the goal of understanding how the extraction pH (11) affected the quinoa protein isolate’s (QPI) recoverability, purity, and rate of recovery. According to the results, protein purity was 81%, protein extractability was 56.45%, and recovery was 86%. At pH 7 and 11. At PH 7, the maximum solubility for suspension was 67%.
The Tradition Ngejalang As a Basis for Moderation in Religious Practices in Lampung
Authors: Khoiruddin  , Juhrotul Khulwah  , Susi Nurkholidah
Published: January 2025

Ngejalang is a culture of praying together at cemeteries before the month of Ramadan and Eid al-Fitr which is held in Lampung. Ngejalang  is an expression of gratitude, a reminder of death, and a place for friendship between traditional leaders (clans) and the community. This tradition is a combination of religious and cultural values, and is maintained in Lampung, especially on the West Coast. This research aims to analyze the religious and socio-cultural functions of traditions wandering around for the people of Lampung, and analyzing the values of moderation in religious practices in tradition wandering around for the people of Lampung. The research was conducted on the West Coast of Lampung, data was collected by means of interviews and documentation. Tradition wandering around in Lampung it cannot be separated from religious values (worship), educational values (akhlak), social values (ukhuwah) and cultural values. This accommodating attitude towards traditions leads to an inclusive and tolerant religious attitude and creates a peaceful and dynamic atmosphere of religious life, so that traditions wandering around moderation capital in religious practices in Lampung.
Estimasi Tinggi Badan Berdasarkan Panjang Tulang Ulna Pada Suku Batak Tahun 2024
Authors: Butar Butar GomGom , Petrus Asan , Lubis Adriansyah , Parinduri Abdul Gafar , Marbun Doaris Ingrid
Published: January 2025

Penelitian ini bertujuan untuk menganalisis estimasi tinggi badan berdasarkan panjang tulang ulna pada suku Batak. Metode yang digunakan adalah analitik korelasi dengan desain potong lintang, melibatkan 52 responden yang terdiri dari laki-laki dan perempuan. Data dikumpulkan melalui pengukuran panjang tulang ulna kanan dan kiri, serta tinggi badan responden. Analisis dilakukan menggunakan uji normalitas, uji korelasi Pearson, dan regresi linear. Hasil penelitian menunjukkan bahwa terdapat hubungan signifikan antara panjang tulang ulna dengan tinggi badan, dengan nilai p < 0,05. Dua variabel independen sekaligus (panjang tulang ulna kanan dan kiri) memberikan estimasi terbaik untuk tinggi badan, dengan nilai korelasi yang sangat kuat (r > 0,9). Penelitian ini diharapkan dapat memberikan kontribusi bagi ilmu kedokteran forensik dan identifikasi jenazah, khususnya pada populasi suku Batak.
Corporate social responsibility. A matter of ethics?
Authors:   Politehnica University Timisoara, Suciu Sorin
Published: January 2025

There is some confusion about the ethical framework of corporate social responsibility and corporate philanthropy. Optimists believe that CSR represents the ethical way to involve companies in community life and solve some of its problems. They hope that by allocating resources for actions that will ultimately have a positive impact on sales, the corporation becomes ethical unlike other companies that do not favor such actions. Our paper aims to provide more clarity on the issue of the ethical character of interested donations labeled as corporate social responsibility actions.
L'exploration de la communication visuelle a travers l'interaction avec les images, dans l'environnement en ligne
Authors:   West University of Timisoara, Filimon-Benea Anamaria
Published: January 2025

La technologie a des implications profondes sur le contenu et les messages transmis en ligne. Les blogs, les vlogs, les podcasts, les sites Web, les réseaux sociaux, tous offrent des moyens de diffusion de messages à un large public. L'utilisation excessive de fichiers audio et vidéo, tels que les podcasts et les vlogs, représente l'une des tendances actuelles. De plus, ces médias peuvent même influencer les caractéristiques des messages. Les messages textuels accompagnés d'images, diffusés sur les réseaux sociaux, sont devenus un moyen très efficace de toucher particulièrement les jeunes. En raison de la spécificité de ce mode de communication, les messages doivent respecter certains paramètres stricts, parmi lesquels figurent l'utilisation de messages courts et de nombreuses images. Cet article vise à dresser un tableau des types de contenus visuels consommés par les étudiants dans l'environnement en ligne.
Get Better: R for cell biologists
Authors: Royle Stephen
Published: January 2025

How can we teach “R for cell biologists” rather than teaching R to cell biologists? I’ve noticed that many R training courses will teach R – regardless of who is taking the course – and leave it to the participants to figure out how they can use R in their own discipline.
A Review of teaching environment and social factors influencing engineering innovation in Henan vocational students
Authors: Xue Yuanbo , Keat Ooi Boon
Published: January 2025

Engineering innovation ability (EIA) is increasingly recognized as a vital skill set for students in higher vocational education, particularly in the context of Henan, China’s rapidly developing industrial landscape where over 150 institutions cater to more than 400,000 students annually. This review utilized content and narrative analysis to synthesize qualitative data from over 50 studies, investigating the social and environmental factors that influence the EIA of higher vocational students, addressing a gap in the literature by examining how educational strategies such as theoretical and practical teaching methodologies, internships and school-enterprise cooperations impact students’ innovation capabilities within social and teaching environments. This review revealed that theoretical teaching methodologies (TTM) provide essential foundational knowledge, while practical teaching methodologies (PTM) enhance problem-solving and hands-on skills through real-world applications. Internships (INT) emerged as a critical platform for bridging theoretical concepts with industry practices, fostering adaptability and practical innovation. School-enterprise cooperations (SEC) were found to support collaborative learning and align vocational training with industry needs, enhancing students’ readiness for employment and innovation. Innovation platforms were identified as a significant moderating factor, integrating industry challenges into education to amplify the effectiveness of teaching methodologies and collaborations. The findings also highlighted the limited use of data visualization in existing studies and the need for more comprehensive approaches to presenting qualitative insights, contributing to the growing discourse on engineering innovation and emphasize the importance of considering social dynamics and the teaching environment in fostering innovative talent in the region’s vocational institutions.
Potential effects of Filipino subject removal in senior high school: Analysis on language usability and relatability
Authors: Ringor Lizbeth G. , Tiana Lorena B. , Delos Reyes Roselyn B.
Published: January 2025

The removal of the Filipino subject from the Philippine curriculum has sparked significant debate due to its implications for national identity, language preservation, and cultural heritage. This policy change stems from the shift in educational priorities driven by globalization and the integration of international standards, which emphasize proficiency in globally dominant languages like English. This paper explored the perceptions of Filipino teachers about the removal of the Filipino subject from senior high school (SHS) curriculum. A total of 76 secondary-level Filipino teachers were purposively selected based on the results of a preliminary open-ended survey. This paper analyzed responses from one-on-one interviews, identifying themes that highlight the impact of the removal of the subject on language usability and relatability. The findings revealed that the proposed removal of the Filipino subject from the Philippine curriculum raised significant concerns about its implications for cultural identity, language preservation, and education. Filipino teachers expressed apprehension that the exclusion of the subject could lead to language shift, wherein students increasingly prioritized English as a marker of success and global competitiveness, relegating Filipino to informal and limited contexts. Teachers highlighted that Filipino language and literature were essential for preserving the nation’s heritage, encouraging cultural pride, and maintaining linguistic diversity. Also, the removal of the subject could have accelerated language attrition, where students lost proficiency in Filipino, particularly in formal settings, further marginalizing its use. To address these challenges, it was essential for educators and administrators to implement strategies that promoted the use of the Filipino language across various academic contexts, ensured an effective integration of English proficiency and Filipino language preservation within the curriculum, and provided ongoing professional development for teachers. Such measures were vital to safeguarding the Filipino language and its role in shaping the nation’s cultural and linguistic identity
NUTRITIONAL COMPOSITIONS OF SIX EDIBLE INSECTS IN JAVA
Authors: Kuntadi Kuntadi , Adalina Yelin , Maharani Kun Esti
Published: January 2025

Nutritional deficiency is still a problem faced by many families in Indonesia. One of the important issues is the level of protein consumption that is still below the minimum required standard. Edible insects could be one alternative of protein sources  since their availability in the nature is quite abundant. This paper analyses six edible species of both cultivated and wild insects for its proximate compositions to measure their nutritional value. The cultivated insects consist of cricket (Gryllus sp.), giant mealworm (Zophobas morio F.), yellow mealworm (Tenebrio molitor L.), and silkworm (Bombyx mori L.), and the wild insects consist of javanese grasshopper (Valanga nigricornis Burm.) and paddy locust (Nomadacris succincta L.). Results shows that the nutritional composition of insects varies widely. Each 100g of dry weight contains of 32.59-76.69% of protein, 6.9-29.47% of fat, 0.92-30.76% of carbohydrate, 2.80-5.79% of ash, 407.34- 517.50 kcal of energy, and minerals about 24.82-31.22 mg of calcium (Ca) and 3.15-4.1 mg of iron (Fe). Some species such as grasshoppers, silkworm pupae and crickets have high protein content which potentially can be utilized as an alternate protein sources to fight against malnutrition and to increase nutritious food consumption. Efforts should be made to encourage the consumption of edible insects as an alternative source of protein. It is especially important to those who live in and around the forest, since the forest area is an excellent habitat for various species of insects.