Design of algebra digital book on mixed reality-based to improve learner's numeracy literacy by Aryo Andri Nugroho, Ida Dwijayanti, Muhammad Prayito, Muhammad Khair Noordin, Kristof Fenyvesi

“…In the media expert validation which includes general aspects, aspects of learning presentation, aspects of language feasibility, aspects of graphics meet the valid criteria with an average value of five validators 89.2%. …”
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Introduction to OLJ Volume 29, Issue 1 by Peter Shea

“… This issue of Online Learning presents a diverse collection of research studies exploring innovative teaching strategies, technology integration, faculty and student engagement, and instructional methodologies in online education. …”
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Introduction to OLJ Volume 29, Number 2 June 2025 by Peter Shea

“… This issue of Online Learning presents a robust collection of fifteen articles that reflect current themes in online education, including leadership perspectives, innovative instructional design, faculty development, and the learning experiences of diverse student populations. …”
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Geography teachers’ views on textbook use in Portugal: A small-scale study in challenging times by Maria Helena ESTEVES

“…The existence of new guidelines for teaching and learning present in the national curriculum has not changed the way teachers use textbooks in the classroom. …”
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Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“…Most automatic detection or classification systems based on deep learning present confidentiality concerns due to their use of integrated computing and local storage data requirements for training. …”
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The Role of Artificial Intelligence in Transforming Language Learning: Opportunities and Ethical Considerations by Adenike A. Akinsemolu, Helen Onyeaka

“…However, the adaptation of AI for language learning presents some ethical challenges related to data privacy, bias in the development and training of algorithms, and the lack of universality in access and usage of AI, which threatens to widen the already extensive inequalities in education. …”
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Mix(ed/ing) Messages: Online Teaching, Student Success, and Academic Integrity in Sociology by Evelina W. Sterling, Daniel Farr

“…However, cheating and plagiarism have a long-history regardless of class format resulting in multi-faceted problems. Still, online learning presents its own unique challenges. Moreover, sociology courses may be especially susceptible to acts of plagiarism and cheating due to its diverse and engaging subject matter and strong emphasis on reading, writing, critical analysis, and qualitative methods. …”
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Deep Learning for Predicting Biomolecular Binding Sites of Proteins by Minjie Mou, Zhichao Zhang, Ziqi Pan, Feng Zhu

“…Emerging trends in hybrid models that combine multimodal data, such as integrating sequence and structural information, along with innovations in geometric deep learning, present promising directions for improving prediction accuracy. …”
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Bridging STEM Education and Sustainability: Insights from Pennsylvania Educators by Jessica A. Cordaro, Cliona Murphy, Erin Redman

“…STEM education’s focus on interdisciplinary learning presents an ideal platform for integrating education for sustainability (EfS) in K–12 curricula. …”
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Investigating vocabulary coverage and load in an Indonesian EFL textbook series by Yurieke Nadiya Rahmat, Averil Coxhead

“…The results of this study suggest the vocabulary features and implications for learning, present the pedagogical implications for teachers and textbook writers, and provide a springboard for future research.…”
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Game-Based Learning Practices in Austrian Elementary Schools by Eliza Avdiu

“…According to teachers, game-based learning presents ongoing challenges related to finding and designing diverse game activities, and adapting their learning to the needs and interests of pupils.…”
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Assessing learning and development through transdisciplinary problem-based invention education offerings by Stephanie Couch, Kelli M. Paul, Michelle Sullivan, Sabiha Sultana

“…Invention Education (IvE), a form of problem-based learning, presents new challenges for educational assessments in public schooling because traditional assessments were designed to evaluate learning in singular disciplines. …”
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From terror to pride: Supporting faculty through a blended learning community of transformation during the COVID-19 pandemic by Adam Barger, Katalin Wargo, Kelly Leffel, Mark Hofer

“…The COVID-19 pandemic and the shift to remote, blended, and online teaching and learning presented universities around the world with myriad challenges. …”
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An Integrated Framework to Motivate Student Engagement in Science Education for Sustainable Development by Neil MacIntosh, Anila Asghar

“…Student-centered pedagogies, such as an in-depth pedagogy informed by Self-Determination Theory, can improve students’ motivation by addressing students’ basic psychological needs for autonomy, competency, and relatedness. Problem-based learning presents students with relevant situations and actively engages them in developing plausible solutions to problems. …”
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No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level by Brandon J. Weihs, Zhou Tang, Somshubhra Roy, Zezhong Tian, Deborah Jo Heuschele, Zhiwu Zhang, Cranos Williams, Zhou Zhang, Garett Heineck, Swayamjit Saha, Zhanyou Xu

“…Computer vision and machine learning present a promising solution for objectively assessing stem morphology. …”
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A data-to-forecast machine learning system for global weather by Xiuyu Sun, Xiaohui Zhong, Xiaoze Xu, Yuanqing Huang, Hao Li, J. David Neelin, Deliang Chen, Jie Feng, Wei Han, Libo Wu, Yuan Qi

“…Recent advances in machine learning present a promising alternative, but still depend on the initial conditions generated by NWP systems. …”
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An arctic case study of revegetation planning to implementation at Snap Lake Diamond Mine by Melissa A.H. Turcotte, Jamie Van Gulck, Drew Stavinga, Michelle Peters

“…It was demonstrated that consideration of regulatory requirements and stakeholder wants is just as important as the technical and scientific findings when developing a revegetation design for a mine. Key learnings presented in this case study can be used to inform researchers and decision-makers of the planning and design requirements for revegetation of northern mines, including the legal, social, and technical aspects that influence revegetation planning and the overall timeline for the revegetation design process.…”
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Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation by Md. Shariful Alam, Dadong Wang, Yulia Arzhaeva, Jesse Alexander Ende, Joanna Kao, Liz Silverstone, Deborah Yates, Olivier Salvado, Arcot Sowmya

“…Abstract Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. …”
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Remote Sensing Based Crop Health Classification Using NDVI and Fully Connected Neural Networks by J. Judith, R. Tamilselvi, M. P. Beham, S. S. Pandiya Lakshmi, A. Panthakkan, S. Al Mansoori, H. Al Ahmad

“…The ability to map the relationship between NDVI values and crop health using deep learning presents new opportunities for real-time, large-scale monitoring of agricultural fields, reducing manual efforts, and offering a scalable solution to address global food security.…”
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Ultrafine‐Resolution Urban Climate Modeling: Resolving Processes Across Scales by Chenghao Wang, Yongling Zhao, Qi Li, Zhi‐Hua Wang, Jiwen Fan

“…Addressing these limitations requires advances in computational techniques, numerical schemes, and the integration of diverse observational data. Machine learning presents new opportunities by emulating certain computationally expensive processes, enhancing data assimilation, and improving model accessibility for decision‐making. …”
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