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Title in English: Studying together: Peer learning among part-time students in higher education, and support possibilities. The book presents peer learning among part-time students as an essential part of their higher education experience. It summarizes the research that indicates that students' achievement, well-being, and study engagement are related to peer learning. Possibilities for supporting peer learning are discussed. Qualitative research of peer learning among part-time students studying for educational degrees offers descriptions of contextual influences and peer learning situations. Based on patterns of occurrence of peer learning situations, three types of peer learning among part-time students are defined: studying beside peers, studying together with peers, and studying due to peers. Each type brings specific benefits and requires distinct support.

Adult education, continuous learning --- peer learning --- higher education --- part-time studies --- instructional design in higher education --- qualitative research

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Educational technology --- Instructional technology --- Technology in education --- Technology --- Educational innovations --- Instructional systems --- Teaching --- Aids and devices --- educational technology --- instructional technology --- e-learning --- online learning --- educational research --- instructional design

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Books and articles on instructional design in online learning abound but rarely do we get such a comprehensive picture of what instructional designers do, how they do it, and the problems they solve as their university changes. Power documents the emergence of an adapted instructional design model for transforming courses from single-mode to dual-mode instruction, making this designer's log a unique contribution to the fi eld of online learning.

Universities and colleges --- Instructional systems --- Curriculum planning. --- Distance education. --- Curricula --- Planning. --- Design. --- Planning --- Distance learning --- Education --- Open learning --- Telecommunication in education --- Colleges --- Degree-granting institutions --- Higher education institutions --- Higher education providers --- Institutions of higher education --- Postsecondary institutions --- Public institutions --- Schools --- Education, Higher --- Curriculum development --- Instructional design --- Design --- education --- instructional design --- online learning --- distance learning

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Instructional systems --- Education, Higher --- Design --- Computer-assisted instruction --- Design. --- Computer-assisted instruction. --- Instructional design --- College students --- Higher education --- Postsecondary education --- Universities and colleges --- Learning systems --- Education --- Educational technology --- Teaching

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Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL. By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy. This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.

Educational technology. --- Quantitative research. --- Digital Education and Educational Technology. --- Data Analysis and Big Data. --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Instructional technology --- Technology in education --- Technology --- Educational innovations --- Instructional systems --- Teaching --- Aids and devices --- Educational Data Analytics --- Learning Analytics --- Teaching Analytics --- Instructional design --- Evidence based education --- Teachers' competence --- Estadística educativa --- Avaluació de sistemes educatius