Search
There are 7 results.
Tag
Tag
All (39)
Active Learning (3)
Animations (1)
Assessments (1)
Asynchrony (3)
Authentic Activities (2)
Backwards Design (2)
Canvas (1)
Case Studies (1)
Collaboration (1)
Communication (2)
Community (2)
Content Creation (2)
Copyright (2)
Course Maintenance (1)
Course Materials (3)
Course Preparation (2)
Discussions (1)
Diversity (1)
Equity (1)
Feedback (5)
Formative Assessments (6)
Game-Based Learning (2)
Gamification (1)
Generative AI (1)
Group Work (2)
Infographics (1)
Learning Objectives (2)
Multimodality (3)
Podcasts (1)
Presentations (1)
Rubrics (1)
Scaffolding (1)
Summative Assessments (1)
Synchrony (3)
Third-Party Tools (1)
Universal Design for Learning (UDL) (1)
Video (3)
Visual Design (1)
Written Assignments (1)
Backward Design
Backward design is, as the name suggests, a process for designing curricula, courses, and lectures by working backwards from big-picture learning goals. The concept, introduced by Grant Wiggins and Jay McTighe (2005), suggests that instructors create assessments, activities, and course content that are explicitly aligned with the broader learning goals of the unit. This is different from the traditional content-driven approach to learning design, which focuses on course content first and only secondarily tries to align that content with learning goals.
Incorporating Multimedia in Your Course
Multimedia, which helps create an engaging and interactive online learning environment, has been shown to contribute to improved student performance (Cheng, Basu, & Goebel, 2009, p. 1). Though many online courses incorporate videos, they neglect to feature other forms of multimedia. And, while videos are a staple of multimedia use, there are other exciting options to consider: podcast episodes, graphics, and animations can all enhance course content, enriching the student experience. To maximize the benefits multimedia can provide, consider including these underutilized forms of multimedia in your course.
Artificial Intelligence and Online Learning
Higher education institutions are racing to keep pace with the disruption caused by artificial intelligence (AI) tools. A 2023 QuickPoll survey by Educause found that 83% of higher education stakeholders believe generative AI will "profoundly change" the sector over the next three to five years. Additionally, 65% agreed that "the use of generative AI in higher ed has more benefits than drawbacks" (McCormack, 2023, Table 1). While institutions are exploring AI's potential in areas such as admissions, enrollment, administrative duties, scheduling, and institutional data research, this piece focuses on the overarching risks and rewards AI presents in teaching and learning.
Academic Integrity in Assessment
To foster academic integrity, pair anti-plagiarism tools with clear conduct expectations and authentic low-stakes assessments. When designing and teaching online courses, maintaining academic integrity is frequently top of mind. In many cases, faculty may opt to adopt third-party tools to monitor student work. Despite the prevalence of academic monitoring software in online courses, however, the most powerful tools for promoting academic integrity are introduced much earlier in the course build process.
Rubric Best Practices Guide
When used effectively, rubrics facilitate clear and consistent assessment, enhancing the learning experience for both students and instructors. In the online classroom environment, where students do not have the frequent, physical access that a traditional classroom provides, rubrics can provide the added benefit of increasing student engagement with course material and clarifying an instructor's expectations (Keengwe, Adjei-Boateng, & Diteeyont, as cited in Haught, Ahern, & Ruberg, 2017). In fact, according to Martin & Bolliger (2018), online learners have reported that grading rubrics are highly important for learner-to-instructor engagement. For instructors, too, rubrics simplify the grading process, promoting consistency across students and terms. Eliminating the guesswork from grade determination, well-designed rubrics can save professors precious time and energy.
Universal Design for Learning
Universal Design for Learning (UDL), which has roots in Ronald Mace’s concept of Universal Design, is a pedagogical framework that supports diverse learning needs. According to CAST, the creator of the framework, UDL seeks “to improve and optimize teaching and learning for all people based on scientific insights into how humans learn” (2018). UDL is not a step-by-step curriculum plan, but rather an approach to pedagogy and curriculum development that aims to make the learning environment as accessible as possible for as many learners as possible (Derer, 2021; CAST, 2018).
Formative Assessments
Formative assessments encompass a broad range of low-stakes activities aimed at improving student learning outcomes. In contrast to summative assessments, which are intended to measure products of student learning, formative assessments are oriented towards the learning process itself (Black & Wiliam, 1998). They can provide students with opportunities to evaluate their developing understanding of key concepts, practice new skills, and prepare for summative assessments (McLaughlin & Yan, 2017; Orange, Agak, Okelo, & Kiprotich, 2018). They can also provide instructors with valuable data on student progress (Bell & Cowie, 2001; McLaughlin & Yan, 2017). The results of formative assessments can indicate where individual students are struggling or excelling, allowing instructors to provide targeted feedback and tailor their instructional delivery accordingly.