Und dann auf "Zum Home-Bildschirm [+]".
Stöbern
genialokal zum Startbildschirm hinzufügen
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Ihr gewünschter Artikel ist in 0 Buchhandlungen vorrätig - wählen Sie hier eine Buchhandlung in Ihrer Nähe aus:
Leveraging Digital Tools to Assess Student Learning provides a practical approach to using technology to collect, interpret, and curate assessment data in K-12 in-person, online, hybrid, and dual learning environments. Digital media, emerging learning technologies, and handheld devices play larger roles than ever in students' 21st-century educational experiences. Digital tools, meanwhile, can also transform assessment practices for teachers, allowing more efficient means of identifying gaps and modifying instruction to maximize student learning. Situating assessment practices in today's networked, flexible, and virtual classrooms, this book reframes polling and quizzing, social media and memes, and multimedia platforms as digital learning tools for engaging, interactive, and meaningful formative, summative, open-ended, peer and self-paced assessments. The final chapter discusses technology's role in organizing, evaluating, and disseminating assessment data to students, their families, and administrators.
Stephanie Smith Budhai is Associate Clinical Professor in the Teaching, Learning, and Curriculum department in the School of Education at Drexel University, USA, and is certifi ed as a K-12 teacher in Technology Education, Special Education, Information Technology, and Elementary Education.
1. 21st Century Assessment Practices: A Paradigm Shift 2. Questioning, Online Polling and Virtual Quizzing 3. Assessing Learning through Social Media, Memes, and Emojis 4. Multimedia Platforms for Open-ended, Peer, and Self Assessment 5. Online Tools to Curate, Evaluate, and Disseminate Assessment Data
