Exercises of voice, choice, and collaboration in a personalized learning initiative.

• Authors : Phan, Trang¹

Subjects: *Teachers; *Decision making; Learning

• Source: Educational Media International. Mar2020, Vol. 57 Issue 1, p73-85. 13p.

• Abstract: A diverse, urban district's Personalized Learning Initiative (PLI), committed to transforming instructional tasks through integration of technology, ...

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An Instrument to Measure Teacher Practices to Support Personalized Learning in the Middle Grades.

• Authors : Olofson, Mark W.¹, ; Downes, John M.²; Petrick Smith, Carmen²

• Source: Research in Middle Level Education Online; 2018, Vol. 41 Issue 7, p1-21, 21p

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Digital Twins and Artificial Intelligence: as Pillars of Personalized Learning Models.

• Authors : FURINI, MARCO¹ ; GAGGI, OMBRETTA²; MIRRI, SILVIA³

Subjects: *Artificial intelligence; Computer simulation; Learning

• Source: Communications of the ACM. Apr2022, Vol. 65 Issue 4, p98-104. 6p. 3 Diagrams.

• Abstract: Personalized learning models can cut student dropout rates, boost student success, improve the integration of online and ...

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Revolutionizing education with AI: Exploring the transformative potential of ChatGPT.

• Authors : Adiguzel, Tufan¹, ; Kaya, Mehmet Haldun²; Cansu, Fatih Kürşat³

• Source: Contemporary Educational Technology; Jul2023, Vol. 15 Issue 3, p1-13, 13p

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Fostering personalized learning in science inquiry supported by mobile technologies.

• Authors : Song, Yanjie¹, ; Wong, Lung-Hsiang¹, ; Looi, Chee-Kit¹,

• Source: Educational Technology Research & Development; Aug2012, Vol. 60 Issue 4, p679-701, 23p, 7 Color Photographs, 3 Illustrations, 1 Diagram, 1 Chart

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PERSONALIZED LEARNING IN THE MIDDLE GRADES: A Case Study of One Team's Successes and Challenges.

• Authors : Netcoh, Steven, ; Bishop, Penny A.

• Source: Middle Grades Research Journal; 2017, Vol. 11 Issue 2, p33-48, 16p, 2 Charts

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A personalized learning content adaptation mechanism to meet diverse user needs in mobile learning environments.

• Authors : Jun-Ming Su¹ ; Shian-Shyong Tseng² ; Huan-Yu Lin³

Subjects: Mobile learning; Virtual classrooms; Digital resources in education

• Source: User Modeling & User-Adapted Interaction. Apr2011, Vol. 21 Issue 1/2, p5-49. 45p. 4 Color Photographs, 5 Diagrams, 6 Charts, 10 Graphs.

• Abstract: With the heterogeneous proliferation of mobile devices, the delivery of learning materials on such devices becomes subject to more and more ...

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A Genetic Algorithm-Based Personalized Remedial Learning System for Learning Object-Oriented Concepts of Java.

• Authors : Lin, Che-Chern¹ (AUTHOR) ; Liu, Zi-Cheng² (AUTHOR) ; Chang, Chih-Lin³ (AUTHOR)

Subjects: *Object-oriented programming; Concept learning; Instructional systems

• Source: IEEE Transactions on Education. Nov2019, Vol. 62 Issue 4, p237-245. 9p.

• Abstract: Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students’ understanding of object-oriented programming (OOP) concepts ...

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Motivating engineering students learning via monitoring in personalized learning environment with tagging system.

• Authors : Balakrishnan, Balamuralithara¹,

• Source: Computer Applications in Engineering Education; May2018, Vol. 26 Issue 3, p700-710, 11p, 4 Color Photographs, 1 Diagram, 1 Chart

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Content Recommendation Based on Education-Contextualized Browsing Events for Web-based Personalized Learning.

• Authors : Feng-Hsu Wang¹

Subjects: *COMPUTER assisted instruction; *LEARNING; *CONTENT area reading

• Source: Journal of Educational Technology & Society. Oct2008, Vol. 11 Issue 4, p93-112. 20p.

• Abstract: The WWW is now in widespread use for delivering on-line learning content in many large-scale education settings. ... Copyright of Journal of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be ...

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