Toolkit Library

This full library contains our stand-alone resources, most of which are authored by the Center for Teaching and Learning (CTL). Here you will find templates, guides, handouts, and video tutorials that CTL has created for the Bloomberg School of Public Health. You will also find links to these items on various pages across our website. See the Toolkit Shelf for the items the CTL Instructional Design Team is spotlighting this term.

Our resources are extensive. We have organized them alphabetically for you to browse. However, you may also search the collection by resource title and/or key words.

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BSPH Syllabus Guidance

[*.pdf]

This document provides guidance and background regarding the components for a quality syllabus. Specific requirements and attention is given to those sections required by BSPH.

BSPH Virtual Classroom Best Practices

[*.pdf]

Best practices (originally communicated by the Office of Academic Affairs in 2020; updated by CTL in 2025) for faculty to keep in mind when moving instruction from on-campus to the virtual classroom. Includes information on course organization, student policies and expectations, scheduling, student engagement, and assessments.

Keywords: hybrid, virtual, schedule, communication, policies, engagement, assessment

[*.dotx]

In development; coming soon.

Bloom’s Taxonomy of Cognition: Verbs, Activities, and Assessments

[*.pdf]

Provides overview of Bloom’s taxonomy along with a table of verbs aligned with the levels of cognition and a sampling of learning activities and assessments similarly aligned.

Brainstorming: Increasing Engagement/Participation in Face-to-face Courses

[*.pdf]

Considerations and suggested methods for student-active breaks, student polling and surveys, back channel communication, peer learning and assessment, and online asynchronous interactions.

Keywords: engagement, active learning

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CoursePlus: Working with the Wiki Tool

[*.pdf]

An overview of the student experience in the Wiki tool.

Creating High-Stakes Assessments: Alternatives to Quiz Generator Exams

[*.pdf]

Alternative assessment goals, formats, and tools are presented as a consideration for more accurate reflections of critical thinking and problem-solving skills.

Creating Universally Accessible Materials: Expectations of Faculty

[*.pdf]

Overview of initial steps that will help faculty follow university guidelines for authoring accessible course materials. This stand-alone PDF is a companion to our website page with the same title.

Curated Collection of Online Image Repositories Considering Diversity

[*.pdf]

A list of free or nearly-free collections are offered as a starting point in an effort towards inclusive representation of diverse individuals and environments.

Designing Effective Online Assessments

[*.mp4]

15:31 video. Together with the companion automated transcript [.txt], highlights methods using CoursePlus tools that lend themselves to designing effective online assessments.

Evidence-based Best Practices for Online Lectures (JHU SON)

[*.pdf]

Infographic presenting best practices for online lectures.

Keywords: engagement, recordings, storytelling, chunking

Example Rubrics for Peer Assessment Tool

[*.pdf]

When setting up a peer assessment inside CP, faculty can create their own rubrics or use and modify one of these example analytic or holistic rubrics.

Example Rubrics: Holistic and Analytic

[*.pdf]

Provides an overview of a sample learning activity with examples of the two different types of rubrics that could be used to guide and assess the activity.

Examples of Schedule Builder Organization

[*.pdf]

Provedes examples of how to organize the Schedule Builder in different ways and some considerations for each method.

FAQs for Using AI in Teaching and Learning at BSPH

[*.pdf]

This document provides a list of frequently asked questions (FAQs) and their answers regarding using artificial intelligence (AI) in BSPH academics. This information supplements the Artificial Intelligence in Teaching and Learning guidance on our Toolkit site. In addition, the University’s Teaching @ JHU offers a broader resource – Generative AI Tool Guidance – to the entire JHU community.