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Jian-hui Wu – Journal of Educational Computing Research, 2025
The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional…
Descriptors: Artificial Intelligence, Physical Education, Instructional Materials, Middle School Students
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Raquel Coelho; Anne E. Bjune; Ståle Ellingsen; Belinda Munoz Solheim; Ruben Thormodsaeter; Barbara Wasson; Sehoya Cotner – Journal of Science Education and Technology, 2025
Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…
Descriptors: Biology, Science Instruction, Artificial Intelligence, Student Surveys
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Zewei Tian; Lief Esbenshade; Alex Liu; Shawon Sarkar; Zachary Zhang; Kevin He; Min Sun – Grantee Submission, 2025
The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…
Descriptors: Scoring Rubrics, Artificial Intelligence, Futures (of Society), Teaching Methods
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Tamra Ross; Rachel Sondergaard; Cindy Ives; Andrew Han; Sabine Graf – Technology, Knowledge and Learning, 2025
To meet student demand for responsive, adaptable, and up-to-date online courses, educators and learning designers need tools to analyse student interactions with their peers, educators and learning resources. Learning Management Systems (LMSs) store large volumes of detailed user data, but offer only limited, pre-set reports and visualizations to…
Descriptors: Access to Information, Learning Analytics, Instructional Design, Evaluation Methods
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Chen Huei Leo; Nachamma Sockalingam; Mei Xuan Tan; Yajuan Zhu; Xiaojuan Khoo – Biomedical Engineering Education, 2025
Challenge Statement: Laboratory classes are indispensable in the teaching of biomedical engineering education, offering students invaluable hands-on experience and opportunities for practical application of theoretical knowledge. However, without a deep understanding of the underlying principles, students may find themselves merely going through…
Descriptors: Instructional Design, Inquiry, Active Learning, Biomedicine
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Amy D. Robertson; Lisa M. Goodhew; Lauren C. Bauman; Anne T. Alesandrini; Paula R. L. Heron – Physical Review Physics Education Research, 2025
In this paper, we describe the development and preliminary assessment of ACORN Physics Tutorials, which are designed to elicit and build on common conceptual resources for understanding physics. We articulate our design principles and instructional commitments and how these bear out in the specifics of one ACORN Physics Tutorial about electric…
Descriptors: Physics, Science Education, Tutorial Programs, Science Instruction
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Moberley Luger; Mathurada Jullamon; Marianne El-Mikati – Canadian Journal for the Scholarship of Teaching and Learning, 2025
Community Engaged Learning (CEL) is an increasingly popular and celebrated pedagogy in post-secondary education. Research indicates that CEL supports students' academic engagement, strengthens their professional skills, and provides them with an enhanced sense of civic responsibility. CEL is labour-intensive, though, and many instructors seek…
Descriptors: Foreign Countries, Universities, College Freshmen, Instructional Design
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Helena Robinson; Fabian Held – Active Learning in Higher Education, 2025
Interdisciplinary complex problem-solving relies on psychologically safe teamwork where individuals feel confident to speak up with unique knowledge, or voice dissent. Existing studies on psychological safety (PS) have mainly concentrated on developing diagnostic tools and categorising the antecedents to psychologically safe interactions in…
Descriptors: Active Learning, Psychological Patterns, Safety, Interdisciplinary Approach
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Allen, Shamon A.; Gardner, Joel L. – Online Journal of Distance Learning Administration, 2021
Globalization, competition, technology, and most recently, the COVID-19 pandemic are causing disruptions to the nature of work and forcing organizations to quickly adapt. To support employee learning and adaptability, many organizations employ instructional designers to create training, develop performance solutions, and lead learning initiatives.…
Descriptors: Program Administration, Instructional Design, Role, Competence
McTighe, Jay – Educational Leadership, 2021
In schools, a lesson functions as an individual building block to support the learning of new material. Experts have identified key elements in an effective lesson, and education leaders--including school based administrators, instructional coaches, department and grade-level chairs--usually look for these elements when reviewing lesson plans and…
Descriptors: Lesson Plans, Instructional Effectiveness, Curriculum, Educational Objectives
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Wang, Xiaoman; Chen, Yan; Ritzhaupt, Albert D.; Martin, Florence – International Journal of Training and Development, 2021
The purpose of this study is to examine core professional competencies for instructional designers through a job announcement analysis involving both qualitative and quantitative produces used on a qualitative data source. Using a conceptual framework as a guide, we extracted and examined a total of N = 1030 unique job announcements obtained from…
Descriptors: Instructional Design, Competence, Job Analysis, Occupational Information
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Butler, Deirdre; Leahy, Margaret – British Journal of Educational Technology, 2021
Research relating to the development of computational thinking (CT) at primary school level is still in its infancy despite indications that it is most effective when introduced in primary/early secondary education. Teachers are pivotal to ensuring children develop CT, so it is essential they are effectively prepared, starting at preservice level,…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Electronic Learning
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Stefaniak, Jill; Luo, Tian; Xu, Meimei – Educational Technology Research and Development, 2021
Digital learning environments are dynamic systems that require learning designers to leverage environmental conditions and the needs of their learners. While many frameworks and studies have explored pedagogical reasoning, little emphasis has been placed on the dynamic decision-making processes of learning designers. To advance the exploration of…
Descriptors: Thinking Skills, Decision Making, Teaching Methods, Instructional Design
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Tzimas, Dimitrios; Demetriadis, Stavros – Educational Technology Research and Development, 2021
Learning analytics (LA) collects, analyses, and reports big data about learners to optimise learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and social issues; therefore, institutions are responsible for implementing frameworks that integrate these topics. Many of the ethical issues raised apply equally to…
Descriptors: Ethics, Learning Analytics, Educational Trends, Educational Research
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Mangaroska, Katerina; Vesin, Boban; Kostakos, Vassilis; Brusilovsky, Peter; Giannakos, Michail N. – IEEE Transactions on Learning Technologies, 2021
With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different…
Descriptors: Learning Analytics, Electronic Learning, Educational Technology, Instructional Design
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